Expert systems and simulation models; Proceedings of the Seminar, Tucson, AZ, November 18, 19, 1985

NASA Technical Reports Server (NTRS)

1986-01-01

The seminar presents papers on modeling and simulation methodology, artificial intelligence and expert systems, environments for simulation/expert system development, and methodology for simulation/expert system development. Particular attention is given to simulation modeling concepts and their representation, modular hierarchical model specification, knowledge representation, and rule-based diagnostic expert system development. Other topics include the combination of symbolic and discrete event simulation, real time inferencing, and the management of large knowledge-based simulation projects.

Validation of the second-generation Olympus colonoscopy simulator for skills assessment.

PubMed

Haycock, A V; Bassett, P; Bladen, J; Thomas-Gibson, S

2009-11-01

Simulators have potential value in providing objective evidence of technical skill for procedures within medicine. The aim of this study was to determine face and construct validity for the Olympus colonoscopy simulator and to establish which assessment measures map to clinical benchmarks of expertise. Thirty-four participants were recruited: 10 novices with no prior colonoscopy experience, 13 intermediate (trainee) endoscopists with fewer than 1000 previous colonoscopies, and 11 experienced endoscopists with more than 1000 previous colonoscopies. All participants completed three standardized cases on the simulator and experts gave feedback regarding the realism of the simulator. Forty metrics recorded automatically by the simulator were analyzed for their ability to distinguish between the groups. The simulator discriminated participants by experience level for 22 different parameters. Completion rates were lower for novices than for trainees and experts (37 % vs. 79 % and 88 % respectively, P < 0.001) and both novices and trainees took significantly longer to reach all major landmarks than the experts. Several technical aspects of competency were discriminatory; pushing with an embedded tip ( P = 0.03), correct use of the variable stiffness function ( P = 0.004), number of sigmoid N-loops ( P = 0.02); size of sigmoid N-loops ( P = 0.01), and time to remove alpha loops ( P = 0.004). Out of 10, experts rated the realism of movement at 6.4, force feedback at 6.6, looping at 6.6, and loop resolution at 6.8. The Olympus colonoscopy simulator has good face validity and excellent construct validity. It provides an objective assessment of colonoscopic skill on multiple measures and benchmarks have been set to allow its use as both a formative and a summative assessment tool. Georg Thieme Verlag KG Stuttgart. New York.

Evaluation of the impact of a simulation-enhanced breaking bad news workshop in pediatrics.

PubMed

Tobler, Kathleen; Grant, Estee; Marczinski, Cecile

2014-08-01

Our goal was to develop and evaluate the effectiveness of a simulation-based workshop for teaching pediatric trainees' communication skills in breaking bad news. A simulation-based workshop was developed to teach skills in breaking bad news. After a classroom-based introduction, small groups of residents participated in 3 scenarios, each starting with a simulated resuscitation, followed by 2 conversations with the patient's parent, played by actors. Each conversation was observed through a 1-way mirror and was followed by a debriefing. After the workshop, the residents completed workshop evaluations and a self-assessment. Before and after the workshop, residents were evaluated in Objective Structured Clinical Examination stations where they were required to give bad news. Two physician experts and 2 parents who personally experienced receiving bad news about their child evaluated resident performance using a previously validated communication evaluation tool. Residents' ratings of the workshop were very high for all items, and 100% of the residents reported improvement in their ability to deliver bad news after the workshop. Statistically significant improvement was found in 14 of 17 items of the evaluation tool used by experts and parents, with the parents reporting greater improvement than the experts. This reflective, simulation-based workshop successfully improved pediatric trainees' skills in having difficult conversations with families, as evaluated by the participants, by physician experts, and, most importantly, by parents who have experienced these conversations in real life.

TU-A-17A-02: In Memoriam of Ben Galkin: Virtual Tools for Validation of X-Ray Breast Imaging Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Myers, K; Bakic, P; Abbey, C

2014-06-15

This symposium will explore simulation methods for the preclinical evaluation of novel 3D and 4D x-ray breast imaging systems – the subject of AAPM taskgroup TG234. Given the complex design of modern imaging systems, simulations offer significant advantages over long and costly clinical studies in terms of reproducibility, reduced radiation exposures, a known reference standard, and the capability for studying patient and disease subpopulations through appropriate choice of simulation parameters. Our focus will be on testing the realism of software anthropomorphic phantoms and virtual clinical trials tools developed for the optimization and validation of breast imaging systems. The symposium willmore » review the stateof- the-science, as well as the advantages and limitations of various approaches to testing realism of phantoms and simulated breast images. Approaches based upon the visual assessment of synthetic breast images by expert observers will be contrasted with approaches based upon comparing statistical properties between synthetic and clinical images. The role of observer models in the assessment of realism will be considered. Finally, an industry perspective will be presented, summarizing the role and importance of virtual tools and simulation methods in product development. The challenges and conditions that must be satisfied in order for computational modeling and simulation to play a significantly increased role in the design and evaluation of novel breast imaging systems will be addressed. Learning Objectives: Review the state-of-the science in testing realism of software anthropomorphic phantoms and virtual clinical trials tools; Compare approaches based upon the visual assessment by expert observers vs. the analysis of statistical properties of synthetic images; Discuss the role of observer models in the assessment of realism; Summarize the industry perspective to virtual methods for breast imaging.« less

Face and construct validity of a computer-based virtual reality simulator for ERCP.

PubMed

Bittner, James G; Mellinger, John D; Imam, Toufic; Schade, Robert R; Macfadyen, Bruce V

2010-02-01

Currently, little evidence supports computer-based simulation for ERCP training. To determine face and construct validity of a computer-based simulator for ERCP and assess its perceived utility as a training tool. Novice and expert endoscopists completed 2 simulated ERCP cases by using the GI Mentor II. Virtual Education and Surgical Simulation Laboratory, Medical College of Georgia. Outcomes included times to complete the procedure, reach the papilla, and use fluoroscopy; attempts to cannulate the papilla, pancreatic duct, and common bile duct; and number of contrast injections and complications. Subjects assessed simulator graphics, procedural accuracy, difficulty, haptics, overall realism, and training potential. Only when performance data from cases A and B were combined did the GI Mentor II differentiate novices and experts based on times to complete the procedure, reach the papilla, and use fluoroscopy. Across skill levels, overall opinions were similar regarding graphics (moderately realistic), accuracy (similar to clinical ERCP), difficulty (similar to clinical ERCP), overall realism (moderately realistic), and haptics. Most participants (92%) claimed that the simulator has definite training potential or should be required for training. Small sample size, single institution. The GI Mentor II demonstrated construct validity for ERCP based on select metrics. Most subjects thought that the simulated graphics, procedural accuracy, and overall realism exhibit face validity. Subjects deemed it a useful training tool. Study repetition involving more participants and cases may help confirm results and establish the simulator's ability to differentiate skill levels based on ERCP-specific metrics.

Clinician's gaze behaviour in simulated paediatric emergencies.

PubMed

McNaughten, Ben; Hart, Caroline; Gallagher, Stephen; Junk, Carol; Coulter, Patricia; Thompson, Andrew; Bourke, Thomas

2018-03-07

Differences in the gaze behaviour of experts and novices are described in aviation and surgery. This study sought to describe the gaze behaviour of clinicians from different training backgrounds during a simulated paediatric emergency. Clinicians from four clinical areas undertook a simulated emergency. Participants wore SMI (SensoMotoric Instruments) eye tracking glasses. We measured the fixation count and dwell time on predefined areas of interest and the time taken to key clinical interventions. Paediatric intensive care unit (PICU) consultants performed best and focused longer on the chest and airway. Paediatric consultants and trainees spent longer looking at the defibrillator and algorithm (51 180 ms and 50 551 ms, respectively) than the PICU and paediatric emergency medicine consultants. This study is the first to describe differences in the gaze behaviour between experts and novices in a resuscitation. They mirror those described in aviation and surgery. Further research is needed to evaluate the potential use of eye tracking as an educational tool. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

The use of high-fidelity human patient simulation as an evaluative tool in the development of clinical research protocols and procedures.

PubMed

Wright, Melanie C; Taekman, Jeffrey M; Barber, Linda; Hobbs, Gene; Newman, Mark F; Stafford-Smith, Mark

2005-12-01

Errors in clinical research can be costly, in terms of patient safety, data integrity, and data collection. Data inaccuracy in early subjects of a clinical study may be associated with problems in the design of the protocol, procedures, and data collection tools. High-fidelity patient simulation centers provide an ideal environment to apply human-centered design to clinical trial development. A draft of a complex clinical protocol was designed, evaluated and modified using a high-fidelity human patient simulator in the Duke University Human Simulation and Patient Safety Center. The process included walk-throughs, detailed modifications of the protocol and development of procedural aids. Training of monitors and coordinators provided an opportunity for observation of performance that was used to identify further improvements to the protocol. Evaluative steps were used to design the research protocol and procedures. Iterative modifications were made to the protocol and data collection tools. The success in use of human simulation in the preparation of a complex clinical drug trial suggests the benefits of human patient simulation extend beyond training and medical equipment evaluation. Human patient simulation can provide a context for informal expert evaluation of clinical protocol design and for formal "rehearsal" to evaluate the efficacy of procedures and support tools.

A randomized trial comparing didactics, demonstration, and simulation for teaching teamwork to medical residents.

PubMed

Semler, Matthew W; Keriwala, Raj D; Clune, Jennifer K; Rice, Todd W; Pugh, Meredith E; Wheeler, Arthur P; Miller, Alison N; Banerjee, Arna; Terhune, Kyla; Bastarache, Julie A

2015-04-01

Effective teamwork is fundamental to the management of medical emergencies, and yet the best method to teach teamwork skills to trainees remains unknown. In a cohort of incoming internal medicine interns, we tested the hypothesis that expert demonstration of teamwork principles and participation in high-fidelity simulation would each result in objectively assessed teamwork behavior superior to traditional didactics. This was a randomized, controlled, parallel-group trial comparing three teamwork teaching modalities for incoming internal medicine interns. Participants in a single-day orientation at the Vanderbilt University Center for Experiential Learning and Assessment were randomized 1:1:1 to didactic, demonstration-based, or simulation-based instruction and then evaluated in their management of a simulated crisis by five independent, blinded observers using the Teamwork Behavioral Rater score. Clinical performance was assessed using the American Heart Association Advanced Cardiac Life Support algorithm and a novel "Recognize, Respond, Reassess" score. Participants randomized to didactics (n = 18), demonstration (n = 17), and simulation (n = 17) were similar at baseline. The primary outcome of average overall Teamwork Behavioral Rater score for those who received demonstration-based training was similar to simulation participation (4.40 ± 1.15 vs. 4.10 ± 0.95, P = 0.917) and significantly higher than didactic instruction (4.40 ± 1.15 vs. 3.10 ± 0.51, P = 0.045). Clinical performance scores were similar between the three groups and correlated only weakly with teamwork behavior (coefficient of determination [Rs(2)] = 0.267, P < 0.001). Among incoming internal medicine interns, teamwork training by expert demonstration resulted in similar teamwork behavior to participation in high-fidelity simulation and was more effective than traditional didactics. Clinical performance was largely independent of teamwork behavior and did not differ between training modalities.

Planning intensive care unit design using computer simulation modeling: optimizing integration of clinical, operational, and architectural requirements.

PubMed

OʼHara, Susan

2014-01-01

Nurses have increasingly been regarded as critical members of the planning team as architects recognize their knowledge and value. But the nurses' role as knowledge experts can be expanded to leading efforts to integrate the clinical, operational, and architectural expertise through simulation modeling. Simulation modeling allows for the optimal merge of multifactorial data to understand the current state of the intensive care unit and predict future states. Nurses can champion the simulation modeling process and reap the benefits of a cost-effective way to test new designs, processes, staffing models, and future programming trends prior to implementation. Simulation modeling is an evidence-based planning approach, a standard, for integrating the sciences with real client data, to offer solutions for improving patient care.

Development of a theoretical-practical script for clinical simulation.

PubMed

Fabri, Renata Paula; Mazzo, Alessandra; Martins, José Carlos Amado; Fonseca, Ariadne da Silva; Pedersoli, César Eduardo; Miranda, Fernanda Berchelli Girão; Fumincelli, Laís; Baptista, Rui Carlos Negrão

2017-04-10

To develop a theoretical-practical script based on the opinion of experts to be used in simulated clinical activities. Qualitative study through analysis of content of interviews with experts on the theme in order to develop the proposed script. Of the 24 invited experts, 12 specialists from educational institutions in Brazil and abroad participated in the study in compliance with the ethical precepts. The experts responded to questions on the characterization of their study attributes and described the items required for the development of a simulated scenario. In view of the responses obtained, data content was analyzed and classified into units and subunits of significance. The items mentioned for the development of the script generated seven units of significance. The units and subunits of significance were gathered in three stages of the main components of the simulated scenario: prior, preparation, and finals. This study enables an innovative, stimulating teaching experience, making it easier for professors to use the simulation resource as a learning process in an effective and objective manner, as a guide to professors and researchers in the area of clinical simulation. Construir, com base na opinião de peritos, roteiro teórico-prático para uso em atividade clínica simulada. Trata-se de um estudo qualitativo por meio de análise de conteúdo de entrevistas de peritos no assunto para construção do roteiro proposto. Seguido os preceitos éticos, entre os 24 peritos convidados pertencentes a instituições de ensino do Brasil e do exterior. Os peritos responderam a questões sobre a caracterização dos seus atributos de estudo e descreveram os itens imprescindíveis à construção de um cenário simulado. Diante das respostas obtidas, os dados foram analisados em relação ao seu conteúdo e organizados em unidades e subunidades de significância. Participaram 12 especialistas. Os itens mencionados para construção do roteiro originaram sete unidades de significância. As unidades e suas subunidades de significância foram ainda reunidas em três fases dos componentes principais do cenário simulado: prévios, preparo e finais. Este estudo permite um ensino inovador, estimulante e possibilita a facilidade ao professor, quanto à utilização do recurso de simulação, como processo de aprendizagem de maneira eficiente e objetiva, sendo um norteador aos docentes e pesquisadores na área de simulação clínica.

Using a medical simulation center as an electronic health record usability laboratory

PubMed Central

Landman, Adam B; Redden, Lisa; Neri, Pamela; Poole, Stephen; Horsky, Jan; Raja, Ali S; Pozner, Charles N; Schiff, Gordon; Poon, Eric G

2014-01-01

Usability testing is increasingly being recognized as a way to increase the usability and safety of health information technology (HIT). Medical simulation centers can serve as testing environments for HIT usability studies. We integrated the quality assurance version of our emergency department (ED) electronic health record (EHR) into our medical simulation center and piloted a clinical care scenario in which emergency medicine resident physicians evaluated a simulated ED patient and documented electronically using the ED EHR. Meticulous planning and close collaboration with expert simulation staff was important for designing test scenarios, pilot testing, and running the sessions. Similarly, working with information systems teams was important for integration of the EHR. Electronic tools are needed to facilitate entry of fictitious clinical results while the simulation scenario is unfolding. EHRs can be successfully integrated into existing simulation centers, which may provide realistic environments for usability testing, training, and evaluation of human–computer interactions. PMID:24249778

Expert Consensus Contouring Guidelines for Intensity Modulated Radiation Therapy in Esophageal and Gastroesophageal Junction Cancer.

PubMed

Wu, Abraham J; Bosch, Walter R; Chang, Daniel T; Hong, Theodore S; Jabbour, Salma K; Kleinberg, Lawrence R; Mamon, Harvey J; Thomas, Charles R; Goodman, Karyn A

2015-07-15

Current guidelines for esophageal cancer contouring are derived from traditional 2-dimensional fields based on bony landmarks, and they do not provide sufficient anatomic detail to ensure consistent contouring for more conformal radiation therapy techniques such as intensity modulated radiation therapy (IMRT). Therefore, we convened an expert panel with the specific aim to derive contouring guidelines and generate an atlas for the clinical target volume (CTV) in esophageal or gastroesophageal junction (GEJ) cancer. Eight expert academically based gastrointestinal radiation oncologists participated. Three sample cases were chosen: a GEJ cancer, a distal esophageal cancer, and a mid-upper esophageal cancer. Uniform computed tomographic (CT) simulation datasets and accompanying diagnostic positron emission tomographic/CT images were distributed to each expert, and the expert was instructed to generate gross tumor volume (GTV) and CTV contours for each case. All contours were aggregated and subjected to quantitative analysis to assess the degree of concordance between experts and to generate draft consensus contours. The panel then refined these contours to generate the contouring atlas. The κ statistics indicated substantial agreement between panelists for each of the 3 test cases. A consensus CTV atlas was generated for the 3 test cases, each representing common anatomic presentations of esophageal cancer. The panel agreed on guidelines and principles to facilitate the generalizability of the atlas to individual cases. This expert panel successfully reached agreement on contouring guidelines for esophageal and GEJ IMRT and generated a reference CTV atlas. This atlas will serve as a reference for IMRT contours for clinical practice and prospective trial design. Subsequent patterns of failure analyses of clinical datasets using these guidelines may require modification in the future. Copyright © 2015 Elsevier Inc. All rights reserved.

Expert Consensus Contouring Guidelines for Intensity Modulated Radiation Therapy in Esophageal and Gastroesophageal Junction Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wu, Abraham J., E-mail: wua@mskcc.org; Bosch, Walter R.; Chang, Daniel T.

Purpose/Objective(s): Current guidelines for esophageal cancer contouring are derived from traditional 2-dimensional fields based on bony landmarks, and they do not provide sufficient anatomic detail to ensure consistent contouring for more conformal radiation therapy techniques such as intensity modulated radiation therapy (IMRT). Therefore, we convened an expert panel with the specific aim to derive contouring guidelines and generate an atlas for the clinical target volume (CTV) in esophageal or gastroesophageal junction (GEJ) cancer. Methods and Materials: Eight expert academically based gastrointestinal radiation oncologists participated. Three sample cases were chosen: a GEJ cancer, a distal esophageal cancer, and a mid-upper esophagealmore » cancer. Uniform computed tomographic (CT) simulation datasets and accompanying diagnostic positron emission tomographic/CT images were distributed to each expert, and the expert was instructed to generate gross tumor volume (GTV) and CTV contours for each case. All contours were aggregated and subjected to quantitative analysis to assess the degree of concordance between experts and to generate draft consensus contours. The panel then refined these contours to generate the contouring atlas. Results: The κ statistics indicated substantial agreement between panelists for each of the 3 test cases. A consensus CTV atlas was generated for the 3 test cases, each representing common anatomic presentations of esophageal cancer. The panel agreed on guidelines and principles to facilitate the generalizability of the atlas to individual cases. Conclusions: This expert panel successfully reached agreement on contouring guidelines for esophageal and GEJ IMRT and generated a reference CTV atlas. This atlas will serve as a reference for IMRT contours for clinical practice and prospective trial design. Subsequent patterns of failure analyses of clinical datasets using these guidelines may require modification in the future.« less

A web-based neurological pain classifier tool utilizing Bayesian decision theory for pain classification in spinal cord injury patients

NASA Astrophysics Data System (ADS)

Verma, Sneha K.; Chun, Sophia; Liu, Brent J.

2014-03-01

Pain is a common complication after spinal cord injury with prevalence estimates ranging 77% to 81%, which highly affects a patient's lifestyle and well-being. In the current clinical setting paper-based forms are used to classify pain correctly, however, the accuracy of diagnoses and optimal management of pain largely depend on the expert reviewer, which in many cases is not possible because of very few experts in this field. The need for a clinical decision support system that can be used by expert and non-expert clinicians has been cited in literature, but such a system has not been developed. We have designed and developed a stand-alone tool for correctly classifying pain type in spinal cord injury (SCI) patients, using Bayesian decision theory. Various machine learning simulation methods are used to verify the algorithm using a pilot study data set, which consists of 48 patients data set. The data set consists of the paper-based forms, collected at Long Beach VA clinic with pain classification done by expert in the field. Using the WEKA as the machine learning tool we have tested on the 48 patient dataset that the hypothesis that attributes collected on the forms and the pain location marked by patients have very significant impact on the pain type classification. This tool will be integrated with an imaging informatics system to support a clinical study that will test the effectiveness of using Proton Beam radiotherapy for treating spinal cord injury (SCI) related neuropathic pain as an alternative to invasive surgical lesioning.

The impact of expert- and peer feedback on communication skills of undergraduate dental students - a single-blinded, randomized, controlled clinical trial.

PubMed

Krause, Felix; Schmalz, Gerhard; Haak, Rainer; Rockenbauch, Katrin

2017-12-01

To evaluate the effect of peer- and expert feedback on communication skills of undergraduate dental students. All students of the first clinical treatment course (n=46) were randomly assigned into two groups. For three times a medical-dental interview/consultation of each student with a real patient was videotaped. After every consultation the videos were assessed either by a person experienced in communication (expert group) or by a fellow student (peer group), giving the students feedback regarding their chairside performed communication skills. Before and after the feedback-interventions all students conducted an interview with simulated patients, which was rated using a validated global rating and analyzed statistically. Global ratings mean scores after feedback-intervention were significantly improved (p<0.05). Thereby, no significant differences in the overall assessment could be observed between expert and peer feedback (p>0.05). During this study students improved their communication skills in dentist-patient interactions. The communication experience of the feedback provider seems not to have any impact on the communication skills in undergraduate dental students. The clinical courses in dentistry offer the opportunity to implement peer-feedback interventions in real treatment situation as part of communication training to longitudinally improve communication skills. Copyright © 2017 Elsevier B.V. All rights reserved.

Research on an expert system for database operation of simulation-emulation math models. Volume 2, Phase 1: Results

NASA Technical Reports Server (NTRS)

Kawamura, K.; Beale, G. O.; Schaffer, J. D.; Hsieh, B. J.; Padalkar, S.; Rodriguez-Moscoso, J. J.

1985-01-01

A reference manual is provided for NESS, a simulation expert system. This manual gives user information regarding starting and operating NASA expert simulation system (NESS). This expert system provides an intelligent interface to a generic simulation program for spacecraft attitude control problems. A menu of the functions the system can perform is provided. Control repeated returns to this menu after executing each user request.

Development and validation of an observation tool for the assessment of nursing pain management practices in intensive care unit in a standardized clinical simulation setting.

PubMed

Gosselin, Emilie; Bourgault, Patricia; Lavoie, Stephan; Coleman, Robin-Marie; Méziat-Burdin, Anne

2014-12-01

Pain management in the intensive care unit is often inadequate. There is no tool available to assess nursing pain management practices. The aim of this study was to develop and validate a measuring tool to assess nursing pain management in the intensive care unit during standardized clinical simulation. A literature review was performed to identify relevant components demonstrating optimal pain management in adult intensive care units and to integrate them in an observation tool. This tool was submitted to an expert panel and pretested. It was then used to assess pain management practice during 26 discrete standardized clinical simulation sessions with intensive care nurses. The Nursing Observation Tool for Pain Management (NOTPaM) contains 28 statements grouped into 8 categories, which are grouped into 4 dimensions: subjective assessment, objective assessment, interventions, and reassessment. The tool's internal consistency was calculated at a Cronbach's alpha of 0.436 for the whole tool; the alpha varies from 0.328 to 0.518 for each dimension. To evaluate the inter-rater reliability, intra-class correlation coefficient was used, which was calculated at 0.751 (p < .001) for the whole tool, with variations from 0.619 to 0.920 (p < .01) between dimensions. The expert panel was satisfied with the content and face validity of the tool. The psychometric qualities of the NOTPaM developed in this study are satisfactory. However, the tool could be improved with slight modifications. Nevertheless, it was useful in assessing intensive care nurses' pain management in a standardized clinical simulation. The NOTPaM is the first tool created for this purpose. Copyright © 2014 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.

The validation index: a new metric for validation of segmentation algorithms using two or more expert outlines with application to radiotherapy planning.

PubMed

Juneja, Prabhjot; Evans, Philp M; Harris, Emma J

2013-08-01

Validation is required to ensure automated segmentation algorithms are suitable for radiotherapy target definition. In the absence of true segmentation, algorithmic segmentation is validated against expert outlining of the region of interest. Multiple experts are used to overcome inter-expert variability. Several approaches have been studied in the literature, but the most appropriate approach to combine the information from multiple expert outlines, to give a single metric for validation, is unclear. None consider a metric that can be tailored to case-specific requirements in radiotherapy planning. Validation index (VI), a new validation metric which uses experts' level of agreement was developed. A control parameter was introduced for the validation of segmentations required for different radiotherapy scenarios: for targets close to organs-at-risk and for difficult to discern targets, where large variation between experts is expected. VI was evaluated using two simulated idealized cases and data from two clinical studies. VI was compared with the commonly used Dice similarity coefficient (DSCpair - wise) and found to be more sensitive than the DSCpair - wise to the changes in agreement between experts. VI was shown to be adaptable to specific radiotherapy planning scenarios.

Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.

PubMed

Islam, Roosan; Weir, Charlene R; Jones, Makoto; Del Fiol, Guilherme; Samore, Matthew H

2015-11-30

Clinical experts' cognitive mechanisms for managing complexity have implications for the design of future innovative healthcare systems. The purpose of the study is to examine the constituents of decision complexity and explore the cognitive strategies clinicians use to control and adapt to their information environment. We used Cognitive Task Analysis (CTA) methods to interview 10 Infectious Disease (ID) experts at the University of Utah and Salt Lake City Veterans Administration Medical Center. Participants were asked to recall a complex, critical and vivid antibiotic-prescribing incident using the Critical Decision Method (CDM), a type of Cognitive Task Analysis (CTA). Using the four iterations of the Critical Decision Method, questions were posed to fully explore the incident, focusing in depth on the clinical components underlying the complexity. Probes were included to assess cognitive and decision strategies used by participants. The following three themes emerged as the constituents of decision complexity experienced by the Infectious Diseases experts: 1) the overall clinical picture does not match the pattern, 2) a lack of comprehension of the situation and 3) dealing with social and emotional pressures such as fear and anxiety. All these factors contribute to decision complexity. These factors almost always occurred together, creating unexpected events and uncertainty in clinical reasoning. Five themes emerged in the analyses of how experts deal with the complexity. Expert clinicians frequently used 1) watchful waiting instead of over- prescribing antibiotics, engaged in 2) theory of mind to project and simulate other practitioners' perspectives, reduced very complex cases into simple 3) heuristics, employed 4) anticipatory thinking to plan and re-plan events and consulted with peers to share knowledge, solicit opinions and 5) seek help on patient cases. The cognitive strategies to deal with decision complexity found in this study have important implications for design future decision support systems for the management of complex patients.

Expert consensus contouring guidelines for IMRT in esophageal and gastroesophageal junction cancer

PubMed Central

Wu, Abraham J.; Bosch, Walter R.; Chang, Daniel T.; Hong, Theodore S.; Jabbour, Salma K.; Kleinberg, Lawrence R.; Mamon, Harvey J.; Thomas, Charles R.; Goodman, Karyn A.

2015-01-01

Purpose/Objective(s) Current guidelines for esophageal cancer contouring are derived from traditional two-dimensional fields based on bony landmarks, and do not provide sufficient anatomical detail to ensure consistent contouring for more conformal radiotherapy techniques such as intensity-modulated radiation therapy (IMRT). Therefore, we convened an expert panel with the specific aim to derive contouring guidelines and generate an atlas for the clinical target volume (CTV) in esophageal or gastroesophageal junction (GEJ) cancer. Methods and Materials Eight expert academically-based gastrointestinal radiation oncologists participated. Three sample cases were chosen: a GEJ cancer, a distal esophageal cancer, and a mid-upper esophageal cancer. Uniform CT simulation datasets and an accompanying diagnostic PET-CT were distributed to each expert, and he/she was instructed to generate gross tumor volume (GTV) and CTV contours for each case. All contours were aggregated and subjected to quantitative analysis to assess the degree of concordance between experts and generate draft consensus contours. The panel then refined these contours to generate the contouring atlas. Results Kappa statistics indicated substantial agreement between panelists for each of the three test cases. A consensus CTV atlas was generated for the three test cases, each representing common anatomic presentations of esophageal cancer. The panel agreed on guidelines and principles to facilitate the generalizability of the atlas to individual cases. Conclusions This expert panel successfully reached agreement on contouring guidelines for esophageal and GEJ IMRT and generated a reference CTV atlas. This atlas will serve as a reference for IMRT contours for clinical practice and prospective trial design. Subsequent patterns of failure analyses of clinical datasets utilizing these guidelines may require modification in the future. PMID:26104943

A Randomized Trial Comparing Didactics, Demonstration, and Simulation for Teaching Teamwork to Medical Residents

PubMed Central

Keriwala, Raj D.; Clune, Jennifer K.; Rice, Todd W.; Pugh, Meredith E.; Wheeler, Arthur P.; Miller, Alison N.; Banerjee, Arna; Terhune, Kyla; Bastarache, Julie A.

2015-01-01

Rationale: Effective teamwork is fundamental to the management of medical emergencies, and yet the best method to teach teamwork skills to trainees remains unknown. Objectives: In a cohort of incoming internal medicine interns, we tested the hypothesis that expert demonstration of teamwork principles and participation in high-fidelity simulation would each result in objectively assessed teamwork behavior superior to traditional didactics. Methods: This was a randomized, controlled, parallel-group trial comparing three teamwork teaching modalities for incoming internal medicine interns. Participants in a single-day orientation at the Vanderbilt University Center for Experiential Learning and Assessment were randomized 1:1:1 to didactic, demonstration-based, or simulation-based instruction and then evaluated in their management of a simulated crisis by five independent, blinded observers using the Teamwork Behavioral Rater score. Clinical performance was assessed using the American Heart Association Advanced Cardiac Life Support algorithm and a novel “Recognize, Respond, Reassess” score. Measurements and Main Results: Participants randomized to didactics (n = 18), demonstration (n = 17), and simulation (n = 17) were similar at baseline. The primary outcome of average overall Teamwork Behavioral Rater score for those who received demonstration-based training was similar to simulation participation (4.40 ± 1.15 vs. 4.10 ± 0.95, P = 0.917) and significantly higher than didactic instruction (4.40 ± 1.15 vs. 3.10 ± 0.51, P = 0.045). Clinical performance scores were similar between the three groups and correlated only weakly with teamwork behavior (coefficient of determination [Rs2] = 0.267, P < 0.001). Conclusions: Among incoming internal medicine interns, teamwork training by expert demonstration resulted in similar teamwork behavior to participation in high-fidelity simulation and was more effective than traditional didactics. Clinical performance was largely independent of teamwork behavior and did not differ between training modalities. PMID:25730661

Teaching basic trauma: validating FluoroSim, a digital fluoroscopic simulator for guide-wire insertion in hip surgery.

PubMed

Sugand, Kapil; Wescott, Robert A; Carrington, Richard; Hart, Alister; Van Duren, Bernard H

2018-05-10

Background and purpose - Simulation is an adjunct to surgical education. However, nothing can accurately simulate fluoroscopic procedures in orthopedic trauma. Current options for training with fluoroscopy are either intraoperative, which risks radiation, or use of expensive and unrealistic virtual reality simulators. We introduce FluoroSim, an inexpensive digital fluoroscopy simulator without the need for radiation. Patients and methods - This was a multicenter study with 26 surgeons in which everyone completed 1 attempt at inserting a guide-wire into a femoral dry bone using surgical equipment and FluoroSim. 5 objective performance metrics were recorded in real-time to assess construct validity. The surgeons were categorized based on the number of dynamic hip screws (DHS) performed: novices (< 10), intermediates (10-39) and experts (≥ 40). A 7-point Likert scale questionnaire assessed the face and content validity of FluoroSim. Results - Construct validity was present for 2 clinically validated metrics in DHS surgery. Experts and intermediates statistically significantly outperformed novices for tip-apex distance and for cut-out rate. Novices took the least number of radiographs. Face and content validity were also observed. Interpretation - FluoroSim discriminated between novice and intermediate or expert surgeons based on tip-apex distance and cut-out rate while demonstrating face and content validity. FluoroSim provides a useful adjunct to orthopedic training. Our findings concur with results from studies using other simulation modalities. FluoroSim can be implemented for education easily and cheaply away from theater in a safe and controlled environment.

Interprofessional teamwork skills as predictors of clinical outcomes in a simulated healthcare setting.

PubMed

Shrader, Sarah; Kern, Donna; Zoller, James; Blue, Amy

2013-01-01

Teaching interprofessional (IP) teamwork skills is a goal of interprofessional education. The purpose of this study was to examine the relationship between IP teamwork skills, attitudes and clinical outcomes in a simulated clinical setting. One hundred-twenty health professions students (medicine, pharmacy, physician assistant) worked in interprofessional teams to manage a "patient" in a health care simulation setting. Students completed the Interdisciplinary Education Perception Scale (IEPS) attitudinal survey instrument. Students' responses were averaged by team to create an IEPS attitudes score. Teamwork skills for each team were rated by trained observers using a checklist to calculate a teamwork score (TWS). Clinical outcome scores (COS) were determined by summation of completed clinical tasks performed by the team based on an expert developed checklist. Regression analyses were conducted to determine the relationship of IEPS and TWS with COS. IEPS score was not a significant predictor of COS (p=0.054), but TWS was a significant predictor (p<0.001) of COS. Results suggest that in a simulated clinical setting, students' interprofessional teamwork skills are significant predictors of positive clinical outcomes. Interprofessional curricular models that produce effective teamwork skills can improve student performance in clinical environments and likely improve teamwork practice to positively affect patient care outcomes.

Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses

PubMed Central

Myers, Risa B.; Herskovic, Jorge R.

2011-01-01

Proposal and execution of clinical trials, computation of quality measures and discovery of correlation between medical phenomena are all applications where an accurate count of patients is needed. However, existing sources of this type of patient information, including Clinical Data Warehouses (CDW) may be incomplete or inaccurate. This research explores applying probabilistic techniques, supported by the MayBMS probabilistic database, to obtain accurate patient counts from a clinical data warehouse containing synthetic patient data. We present a synthetic clinical data warehouse (CDW), and populate it with simulated data using a custom patient data generation engine. We then implement, evaluate and compare different techniques for obtaining patients counts. We model billing as a test for the presence of a condition. We compute billing’s sensitivity and specificity both by conducting a “Simulated Expert Review” where a representative sample of records are reviewed and labeled by experts, and by obtaining the ground truth for every record. We compute the posterior probability of a patient having a condition through a “Bayesian Chain”, using Bayes’ Theorem to calculate the probability of a patient having a condition after each visit. The second method is a “one-shot” approach that computes the probability of a patient having a condition based on whether the patient is ever billed for the condition Our results demonstrate the utility of probabilistic approaches, which improve on the accuracy of raw counts. In particular, the simulated review paired with a single application of Bayes’ Theorem produces the best results, with an average error rate of 2.1% compared to 43.7% for the straightforward billing counts. Overall, this research demonstrates that Bayesian probabilistic approaches improve patient counts on simulated patient populations. We believe that total patient counts based on billing data are one of the many possible applications of our Bayesian framework. Use of these probabilistic techniques will enable more accurate patient counts and better results for applications requiring this metric. PMID:21986292

The efficacy of high-fidelity simulation on psychomotor clinical performance improvement of undergraduate nursing students.

PubMed

Vincent, Mary Anne; Sheriff, Susan; Mellott, Susan

2015-02-01

High-fidelity simulation has become a growing educational modality among institutions of higher learning ever since the Institute of Medicine recommended that it be used to improve patient safety in 2000. However, there is limited research on the effect of high-fidelity simulation on psychomotor clinical performance improvement of undergraduate nursing students being evaluated by experts using reliable and valid appraisal instruments. The purpose of this integrative review and meta-analysis is to explore what researchers have established about the impact of high-fidelity simulation on improving the psychomotor clinical performance of undergraduate nursing students. Only eight of the 1120 references met inclusion criteria. A meta-analysis using Hedges' g to compute the effect size and direction of impact yielded a range of -0.26 to +3.39. A positive effect was shown in seven of eight studies; however, there were five different research designs and six unique appraisal instruments used among these studies. More research is necessary to determine if high-fidelity simulation improves psychomotor clinical performance in undergraduate nursing students. Nursing programs from multiple sites having a standardized curriculum and using the same appraisal instruments with established reliability and validity are ideal for this work.

Research on an expert system for database operation of simulation-emulation math models. Volume 1, Phase 1: Results

NASA Technical Reports Server (NTRS)

Kawamura, K.; Beale, G. O.; Schaffer, J. D.; Hsieh, B. J.; Padalkar, S.; Rodriguez-Moscoso, J. J.

1985-01-01

The results of the first phase of Research on an Expert System for Database Operation of Simulation/Emulation Math Models, is described. Techniques from artificial intelligence (AI) were to bear on task domains of interest to NASA Marshall Space Flight Center. One such domain is simulation of spacecraft attitude control systems. Two related software systems were developed to and delivered to NASA. One was a generic simulation model for spacecraft attitude control, written in FORTRAN. The second was an expert system which understands the usage of a class of spacecraft attitude control simulation software and can assist the user in running the software. This NASA Expert Simulation System (NESS), written in LISP, contains general knowledge about digital simulation, specific knowledge about the simulation software, and self knowledge.

The changing face of surgical education: simulation as the new paradigm.

PubMed

Scott, Daniel J; Cendan, Juan C; Pugh, Carla M; Minter, Rebecca M; Dunnington, Gary L; Kozar, Rosemary A

2008-06-15

Surgical simulation has evolved considerably over the past two decades and now plays a major role in training efforts designed to foster the acquisition of new skills and knowledge outside of the clinical environment. Numerous driving forces have fueled this fundamental change in educational methods, including concerns over patient safety and the need to maximize efficiency within the context of limited work hours and clinical exposure. The importance of simulation has been recognized by the major stake-holders in surgical education, and the Residency Review Committee has mandated that all programs implement skills training curricula in 2008. Numerous issues now face educators who must use these novel training methods. It is important that these individuals have a solid understanding of content, development, research, and implementation aspects regarding simulation. This paper highlights presentations about these topics from a panel of experts convened at the 2008 Academic Surgical Congress.

THE CHANGING FACE OF SURGICAL EDUCATION: SIMULATION AS THE NEW PARADIGM

PubMed Central

Scott, Daniel J.; Cendan, Juan C.; Pugh, Carla M.; Minter, Rebecca M.; Dunnington, Gary L.; Kozar, Rosemary A.

2009-01-01

Surgical simulation has evolved considerably over the past two decades and now plays a major role in training efforts designed to foster the acquisition of new skills and knowledge outside of the clinical environment. Numerous driving forces have fueled this fundamental change in educational methods, including concerns over patient safety and the need to maximize efficiency within the context of limited work hours and clinical exposure. The importance of simulation has been recognized by the major stake-holders in surgical education, and the Residency Review Committee has mandated that all programs implement skills training curricula in 2008. Numerous issues now face educators who must use these novel training methods. It is important that these individuals have a solid understanding of content, development, research, and implementation aspects regarding simulation. This paper highlights presentations about these topics from a panel of experts convened at the 2008 Academic Surgical Congress. PMID:18498868

Validation of a Full-Immersion Simulation Platform for Percutaneous Nephrolithotomy Using Three-Dimensional Printing Technology.

PubMed

Ghazi, Ahmed; Campbell, Timothy; Melnyk, Rachel; Feng, Changyong; Andrusco, Alex; Stone, Jonathan; Erturk, Erdal

2017-12-01

The restriction of resident hours with an increasing focus on patient safety and a reduced caseload has impacted surgical training. A complex and complication prone procedure such as percutaneous nephrolithotomy (PCNL) with a steep learning curve may create an unsafe environment for hands-on resident training. In this study, we validate a high fidelity, inanimate PCNL model within a full-immersion simulation environment. Anatomically correct models of the human pelvicaliceal system, kidney, and relevant adjacent structures were created using polyvinyl alcohol hydrogels and three-dimensional-printed injection molds. All steps of a PCNL were simulated including percutaneous renal access, nephroscopy, and lithotripsy. Five experts (>100 caseload) and 10 novices (<20 caseload) from both urology (full procedure) and interventional radiology (access only) departments completed the simulation. Face and content validity were calculated using model ratings for similarity to the real procedure and usefulness as a training tool. Differences in performance among groups with various levels of experience using clinically relevant procedural metrics were used to calculate construct validity. The model was determined to have an excellent face and content validity with an average score of 4.5/5.0 and 4.6/5.0, respectively. There were significant differences between novice and expert operative metrics including mean fluoroscopy time, the number of percutaneous access attempts, and number of times the needle was repositioned. Experts achieved better stone clearance with fewer procedural complications. We demonstrated the face, content, and construct validity of an inanimate, full task trainer for PCNL. Construct validity between experts and novices was demonstrated using incorporated procedural metrics, which permitted the accurate assessment of performance. While hands-on training under supervision remains an integral part of any residency, this full-immersion simulation provides a comprehensive tool for surgical skills development and evaluation before hands-on exposure.

Leveraging Health Care Simulation Technology for Human Factors Research: Closing the Gap Between Lab and Bedside.

PubMed

Deutsch, Ellen S; Dong, Yue; Halamek, Louis P; Rosen, Michael A; Taekman, Jeffrey M; Rice, John

2016-11-01

We describe health care simulation, designed primarily for training, and provide examples of how human factors experts can collaborate with health care professionals and simulationists-experts in the design and implementation of simulation-to use contemporary simulation to improve health care delivery. The need-and the opportunity-to apply human factors expertise in efforts to achieve improved health outcomes has never been greater. Health care is a complex adaptive system, and simulation is an effective and flexible tool that can be used by human factors experts to better understand and improve individual, team, and system performance within health care. Expert opinion is presented, based on a panel delivered during the 2014 Human Factors and Ergonomics Society Health Care Symposium. Diverse simulators, physically or virtually representing humans or human organs, and simulation applications in education, research, and systems analysis that may be of use to human factors experts are presented. Examples of simulation designed to improve individual, team, and system performance are provided, as are applications in computational modeling, research, and lifelong learning. The adoption or adaptation of current and future training and assessment simulation technologies and facilities provides opportunities for human factors research and engineering, with benefits for health care safety, quality, resilience, and efficiency. Human factors experts, health care providers, and simulationists can use contemporary simulation equipment and techniques to study and improve health care delivery. © 2016, Human Factors and Ergonomics Society.

Designing a proficiency-based, content validated virtual reality curriculum for laparoscopic colorectal surgery: a Delphi approach.

PubMed

Palter, Vanessa N; Graafland, Maurits; Schijven, Marlies P; Grantcharov, Teodor P

2012-03-01

Although task training on virtual reality (VR) simulators has been shown to transfer to the operating room, to date no VR curricula have been described for advanced laparoscopic procedures. The purpose of this study was to develop a proficiency-based VR technical skills curriculum for laparoscopic colorectal surgery. The Delphi method was used to determine expert consensus on which VR tasks (on the LapSim simulator) are relevant to teaching laparoscopic colorectal surgery. To accomplish this task, 19 international experts rated all the LapSim tasks on a Likert scale (1-5) with respect to the degree to which they thought that a particular task should be included in a final technical skills curriculum. Results of the survey were sent back to participants until consensus (Cronbach's α >0.8) was reached. A cross-sectional design was utilized to define the benchmark scores for the identified tasks. Nine expert surgeons completed all identified tasks on the "easy," "medium," and "hard" settings of the simulator. In the first round of the survey, Cronbach's α was 0.715; after the second round, consensus was reached at 0.865. Consensus was reached for 7 basic tasks and 1 advanced suturing task. Median expert time and economy of movement scores were defined as benchmarks for all curricular tasks. This study used Delphi consensus methodology to create a curriculum for an advanced laparoscopic procedure that is reflective of current clinical practice on an international level and conforms to current educational standards of proficiency-based training. Copyright © 2012 Mosby, Inc. All rights reserved.

Observational study of treatment space in individual neonatal cot spaces.

PubMed

Hignett, Sue; Lu, Jun; Fray, Mike

2010-01-01

Technology developments in neonatal intensive care units have increased the spatial requirements for clinical activities. Because the effectiveness of healthcare delivery is determined in part by the design of the physical environment and the spatial organization of work, it is appropriate to apply an evidence-based approach to architectural design. This study aimed to provide empirical evidence of the spatial requirements for an individual cot or incubator space. Observational data from 2 simulation exercises were combined with an expert review to produce a final recommendation. A validated 5-step protocol was used to collect data. Step 1 defined the clinical specialty and space. In step 2, data were collected with 28 staff members and 15 neonates to produce a simulation scenario representing the frequent and safety-critical activities. In step 3, 21 staff members participated in functional space experiments to determine the average spatial requirements. Step 4 incorporated additional data (eg, storage and circulation) to produce a spatial recommendation. Finally, the recommendation was reviewed in step 5 by a national expert clinical panel to consider alternative layouts and technology. The average space requirement for an individual neonatal intensive care unit cot (incubator) space was 13.5 m2 (or 145.3 ft2). The circulation and storage space requirements added in step 4 increased this to 18.46 m2 (or 198.7 ft2). The expert panel reviewed the recommendation and agreed that the average individual cot space (13.5 m2/[or 145.3 ft2]) would accommodate variance in working practices. Care needs to be taken when extrapolating this recommendation to multiple cot areas to maintain the minimum spatial requirement.

Virtual gaming to develop students' pediatric nursing skills: A usability test.

PubMed

Verkuyl, Margaret; Atack, Lynda; Mastrilli, Paula; Romaniuk, Daria

2016-11-01

As competition for specialty clinical placements increases, there is an urgent need to create safe, stimulating, alternative learning environments for students. To address that clinical gap, our team developed a virtual game-based simulation to help nursing students develop their pediatric nursing skills. A usability study was conducted using the Technology Acceptance Model as a research framework. The study was conducted at a community college and included nursing students, nursing faculty/clinicians and two gaming experts. The two experts evaluated the game using a heuristic checklist after playing the game. Participants engaged in a think-aloud activity while playing the game and completed a survey and interview based on the Technology Acceptance Model to explore ease of use and utility of the game. We found a high degree of user satisfaction with the game. Students reported that they had learned about pediatric care, they had become immersed in the game and they were keen to keep playing. Several design changes were recommended. Usability testing is critical in the early stages of simulation development and the study provided useful direction for the development team in the next stage of game development. Copyright © 2016 Elsevier Ltd. All rights reserved.

The ScanTrainer obstetrics and gynaecology ultrasound virtual reality training simulator: A cost model to determine the cost viability of replacing clinical training with simulation training.

PubMed

Carolan-Rees, G; Ray, A F

2015-05-01

The aim of this study was to produce an economic cost model comparing the use of the Medaphor ScanTrainer virtual reality training simulator for obstetrics and gynaecology ultrasound to achieve basic competence, with the traditional training method. A literature search and survey of expert opinion were used to identify resources used in training. An executable model was produced in Excel. The model showed a cost saving for a clinic using the ScanTrainer of £7114 per annum. The uncertainties of the model were explored and it was found to be robust. Threshold values for the key drivers of the model were identified. Using the ScanTrainer is cost saving for clinics with at least two trainees per year to train, if it would take at least six lists to train them using the traditional training method and if a traditional training list has at least two fewer patients than a standard list.

A review of training research and virtual reality simulators for the da Vinci surgical system.

PubMed

Liu, May; Curet, Myriam

2015-01-01

PHENOMENON: Virtual reality simulators are the subject of several recent studies of skills training for robot-assisted surgery. Yet no consensus exists regarding what a core skill set comprises or how to measure skill performance. Defining a core skill set and relevant metrics would help surgical educators evaluate different simulators. This review draws from published research to propose a core technical skill set for using the da Vinci surgeon console. Publications on three commercial simulators were used to evaluate the simulators' content addressing these skills and associated metrics. An analysis of published research suggests that a core technical skill set for operating the surgeon console includes bimanual wristed manipulation, camera control, master clutching to manage hand position, use of third instrument arm, activating energy sources, appropriate depth perception, and awareness of forces applied by instruments. Validity studies of three commercial virtual reality simulators for robot-assisted surgery suggest that all three have comparable content and metrics. However, none have comprehensive content and metrics for all core skills. INSIGHTS: Virtual reality simulation remains a promising tool to support skill training for robot-assisted surgery, yet existing commercial simulator content is inadequate for performing and assessing a comprehensive basic skill set. The results of this evaluation help identify opportunities and challenges that exist for future developments in virtual reality simulation for robot-assisted surgery. Specifically, the inclusion of educational experts in the development cycle alongside clinical and technological experts is recommended.

Using Discrete Event Simulation to predict KPI's at a Projected Emergency Room.

PubMed

Concha, Pablo; Neriz, Liliana; Parada, Danilo; Ramis, Francisco

2015-01-01

Discrete Event Simulation (DES) is a powerful factor in the design of clinical facilities. DES enables facilities to be built or adapted to achieve the expected Key Performance Indicators (KPI's) such as average waiting times according to acuity, average stay times and others. Our computational model was built and validated using expert judgment and supporting statistical data. One scenario studied resulted in a 50% decrease in the average cycle time of patients compared to the original model, mainly by modifying the patient's attention model.

Effect of obstetric team training on team performance and medical technical skills: a randomised controlled trial.

PubMed

Fransen, A F; van de Ven, J; Merién, A E R; de Wit-Zuurendonk, L D; Houterman, S; Mol, B W; Oei, S G

2012-10-01

To determine whether obstetric team training in a medical simulation centre improves the team performance and utilisation of appropriate medical technical skills of healthcare professionals. Cluster randomised controlled trial. The Netherlands. The obstetric departments of 24 Dutch hospitals. The obstetric departments were randomly assigned to a 1-day session of multiprofessional team training in a medical simulation centre or to no such training. Team training was given with high-fidelity mannequins by an obstetrician and a communication expert. More than 6 months following training, two unannounced simulated scenarios were carried out in the delivery rooms of all 24 obstetric departments. The scenarios, comprising a case of shoulder dystocia and a case of amniotic fluid embolism, were videotaped. The team performance and utilisation of appropriate medical skills were evaluated by two independent experts. Team performance evaluated with the validated Clinical Teamwork Scale (CTS) and the employment of two specific obstetric procedures for the two clinical scenarios in the simulation (delivery of the baby with shoulder dystocia in the maternal all-fours position and conducting a perimortem caesarean section within 5 minutes for the scenario of amniotic fluid embolism). Seventy-four obstetric teams from 12 hospitals in the intervention group underwent teamwork training between November 2009 and July 2010. The teamwork performance in the training group was significantly better in comparison to the nontraining group (median CTS score: 7.5 versus 6.0, respectively; P = 0.014). The use of the predefined obstetric procedures for the two clinical scenarios was also significantly more frequent in the training group compared with the nontraining group (83 versus 46%, respectively; P = 0.009). Team performance and medical technical skills may be significantly improved after multiprofessional obstetric team training in a medical simulation centre. © 2012 The Authors BJOG An International Journal of Obstetrics and Gynaecology © 2012 RCOG.

Automated outcome scoring in a virtual reality simulator for endodontic surgery.

PubMed

Yin, Myat Su; Haddawy, Peter; Suebnukarn, Siriwan; Rhienmora, Phattanapon

2018-01-01

We address the problem of automated outcome assessment in a virtual reality (VR) simulator for endodontic surgery. Outcome assessment is an essential component of any system that provides formative feedback, which requires assessing the outcome, relating it to the procedure, and communicating in a language natural to dental students. This study takes a first step toward automated generation of such comprehensive feedback. Virtual reference templates are computed based on tooth anatomy and the outcome is assessed with a 3D score cube volume which consists of voxel-level non-linear weighted scores based on the templates. The detailed scores are transformed into standard scoring language used by dental schools. The system was evaluated on fifteen outcome samples that contained optimal results and those with errors including perforation of the walls, floor, and both, as well as various combinations of major and minor over and under drilling errors. Five endodontists who had professional training and varying levels of experiences in root canal treatment participated as raters in the experiment. Results from evaluation of our system with expert endodontists show a high degree of agreement with expert scores (information based measure of disagreement 0.04-0.21). At the same time they show some disagreement among human expert scores, reflecting the subjective nature of human outcome scoring. The discriminatory power of the AOS scores analyzed with three grade tiers (A, B, C) using the area under the receiver operating characteristic curve (AUC). The AUC values are generally highest for the {AB: C} cutoff which is cutoff at the boundary between clinically acceptable (B) and clinically unacceptable (C) grades. The objective consistency of computed scores and high degree of agreement with experts make the proposed system a promising addition to existing VR simulators. The translation of detailed level scores into terminology commonly used in dental surgery supports natural communication with students and instructors. With the reference virtual templates created automatically, the approach is robust and is applicable in scoring the outcome of any dental surgery procedure involving the act of drilling. Copyright © 2017 Elsevier B.V. All rights reserved.

A clinical decision support system prototype for cardiovascular intensive care.

PubMed

Lau, F

1994-08-01

This paper describes the development and validation of a decision-support system prototype that can help manage hypovolemic hypotension in the Cardiovascular Intensive Care Unit (CVICU). The prototype uses physiologic pattern-matching, therapeutic protocols, computational drug-dosage response modeling and expert reasoning heuristics in its selection of intervention strategies and choices. As part of model testing, the prototype simulated real-time operation by processing historical physiologic and intervention data on a patient sequentially, generating alerts on questionable data, critiques of interventions instituted and recommendations on preferred interventions. Bench-testing with 399 interventions from 13 historical cases showed therapies for bleeding and fluid replacement proposed by the prototype were significantly more consistent (p < 0.0001) than those instituted by the staff when compared against expert critiques (80% versus 44%). This study has demonstrated the feasibility of formalizing hemodynamic management of CVICU patients in a manner that may be implemented and evaluated in a clinical setting.

The Application of Observational Practice and Educational Networking in Simulation-Based and Distributed Medical Education Contexts.

PubMed

Welsher, Arthur; Rojas, David; Khan, Zain; VanderBeek, Laura; Kapralos, Bill; Grierson, Lawrence E M

2018-02-01

Research has revealed that individuals can improve technical skill performance by viewing demonstrations modeled by either expert or novice performers. These findings support the development of video-based observational practice communities that augment simulation-based skill education and connect geographically distributed learners. This study explores the experimental replicability of the observational learning effect when demonstrations are sampled from a community of distributed learners and serves as a context for understanding learner experiences within this type of training protocol. Participants from 3 distributed medical campuses engaged in a simulation-based learning study of the elliptical excision in which they completed a video-recorded performance before being assigned to 1 of 3 groups for a 2-week observational practice intervention. One group observed expert demonstrations, another observed novice demonstrations, and the third observed a combination of both. Participants returned for posttesting immediately and 1 month after the intervention. Participants also engaged in interviews regarding their perceptions of the usability and relevance of video-based observational practice to clinical education. Checklist (P < 0.0001) and global rating (P < 0.0001) measures indicate that participants, regardless of group assignment, improved after the intervention and after a 1-month retention period. Analyses revealed no significant differences between groups. Qualitative analyses indicate that participants perceived the observational practice platform to be usable, relevant, and potentially improved with enhanced feedback delivery. Video-based observational practice involving expert and/or novice demonstrations enhances simulation-based skill learning in a group of geographically distributed trainees. These findings support the use of Internet-mediated observational learning communities in distributed and simulation-based medical education contexts.

Student perception of two different simulation techniques in oral and maxillofacial surgery undergraduate training.

PubMed

Lund, Bodil; Fors, Uno; Sejersen, Ronny; Sallnäs, Eva-Lotta; Rosén, Annika

2011-10-12

Yearly surveys among the undergraduate students in oral and maxillofacial surgery at Karolinska Institutet have conveyed a wish for increased clinical training, and in particular, in surgical removal of mandibular third molars. Due to lack of resources, this kind of clinical supervision has so far not been possible to implement. One possible solution to this problem might be to introduce simulation into the curriculum. The purpose of this study was to investigate undergraduate students' perception of two different simulation methods for practicing clinical reasoning skills and technical skills in oral and maxillofacial surgery. Forty-seven students participating in the oral and maxillofacial surgery course at Karolinska Institutet during their final year were included. Three different oral surgery patient cases were created in a Virtual Patient (VP) Simulation system (Web-SP) and used for training clinical reasoning. A mandibular third molar surgery simulator with tactile feedback, providing hands on training in the bone removal and tooth sectioning in third molar surgery, was also tested. A seminar was performed using the combination of these two simulators where students' perception of the two different simulation methods was assessed by means of a questionnaire. The response rate was 91.5% (43/47). The students were positive to the VP cases, although they rated their possible improvement of clinical reasoning skills as moderate. The students' perception of improved technical skills after training in the mandibular third molar surgery simulator was rated high. The majority of the students agreed that both simulation techniques should be included in the curriculum and strongly agreed that it was a good idea to use the two simulators in concert. The importance of feedback from the senior experts during simulator training was emphasised. The two tested simulation methods were well accepted and most students agreed that the future curriculum would benefit from permanent inclusion of these exercises, especially when used in combination. The results also stress the importance of teaching technical skills and clinical reasoning in concert.

Traffic simulation in regional modeling : application to interstate infrastructure near the Toledo sea port.

DOT National Transportation Integrated Search

2012-06-01

A small team of university-based transportation system experts and simulation experts has been : assembled to develop, test, and apply an approach to assessing road infrastructure capacity using : micro traffic simulation supported by publically avai...

Deepening the quality of clinical reasoning and decision-making in rural hospital nursing practice.

PubMed

Sedgwick, M G; Grigg, L; Dersch, S

2014-01-01

Rural acute care nursing requires an extensive breadth and depth of knowledge as well as the ability to quickly reason through problems in order to make sound clinical decisions. This reasoning often occurs within an environment that has minimal medical or ancillary support. Registered nurses (RN) new to rural nursing, and employers, have raised concerns about patient safety while new nurses make the transition into rural practice. In addition, feeling unprepared for the rigors of rural hospital nursing practice is a central issue influencing RN recruitment and retention. Understanding how rural RNs reason is a key element for identifying professional development needs and may support recruitment and retention of skilled rural nurses. The purpose of this study was to explore how rural RNs reason through clinical problems as well as to assess the quality of such reasoning. This study used a non-traditional approach for data collection. Fifteen rural acute care nurses with varying years of experience working in southern Alberta, Canada, were observed while they provided care to patients of varying acuity within a simulated rural setting. Following the simulation, semi-structured interviews were conducted using a substantive approach to critical thinking. Findings revealed that the ability to engage in deep clinical reasoning varied considerably among participants despite being given the same information under the same circumstances. Furthermore, the number of years of experience did not seem to be directly linked to the ability to engage in sound clinical reasoning. Novice nurses, however, did rely heavily on others in their decision making in order to ensure they were making the right decision. Hence, their relationships with other staff members influenced their ability to engage in clinical reasoning and decision making. In situations where the patient's condition was deteriorating quickly, regardless of years of experience, all of the participants depended on their colleagues when making decisions and reasoning throughout the simulation. Deep clinical reasoning and decision making is a function of reflection and self-correction that requires a critical self-awareness and is more about how nurses think than what they think. The degree of sophistication in reasoning of experts and novices is at times equivalent in that the reasoning of experts and novices can be somewhat limited and focused primarily on human physicality and less on conceptual knowledge. To become proficient in clinical reasoning, practice is necessary. The study supports the accumulating evidence that using clinical simulation and reflective interviewing that emphasize how clinical decisions are made enhances reasoning skills and confidence.

Script-theory virtual case: A novel tool for education and research.

PubMed

Hayward, Jake; Cheung, Amandy; Velji, Alkarim; Altarejos, Jenny; Gill, Peter; Scarfe, Andrew; Lewis, Melanie

2016-11-01

Context/Setting: The script theory of diagnostic reasoning proposes that clinicians evaluate cases in the context of an "illness script," iteratively testing internal hypotheses against new information eventually reaching a diagnosis. We present a novel tool for teaching diagnostic reasoning to undergraduate medical students based on an adaptation of script theory. We developed a virtual patient case that used clinically authentic audio and video, interactive three-dimensional (3D) body images, and a simulated electronic medical record. Next, we used interactive slide bars to record respondents' likelihood estimates of diagnostic possibilities at various stages of the case. Responses were dynamically compared to data from expert clinicians and peers. Comparative frequency distributions were presented to the learner and final diagnostic likelihood estimates were analyzed. Detailed student feedback was collected. Over two academic years, 322 students participated. Student diagnostic likelihood estimates were similar year to year, but were consistently different from expert clinician estimates. Student feedback was overwhelmingly positive: students found the case was novel, innovative, clinically authentic, and a valuable learning experience. We demonstrate the successful implementation of a novel approach to teaching diagnostic reasoning. Future study may delineate reasoning processes associated with differences between novice and expert responses.

Progressive learning in endoscopy simulation training improves clinical performance: a blinded randomized trial.

PubMed

Grover, Samir C; Scaffidi, Michael A; Khan, Rishad; Garg, Ankit; Al-Mazroui, Ahmed; Alomani, Tareq; Yu, Jeffrey J; Plener, Ian S; Al-Awamy, Mohamed; Yong, Elaine L; Cino, Maria; Ravindran, Nikila C; Zasowski, Mark; Grantcharov, Teodor P; Walsh, Catharine M

2017-11-01

A structured comprehensive curriculum (SCC) that uses simulation-based training (SBT) can improve clinical colonoscopy performance. This curriculum may be enhanced through the application of progressive learning, a training strategy centered on incrementally challenging learners. We aimed to determine whether a progressive learning-based curriculum (PLC) would lead to superior clinical performance compared with an SCC. This was a single-blinded randomized controlled trial conducted at a single academic center. Thirty-seven novice endoscopists were recruited and randomized to either a PLC (n = 18) or to an SCC (n = 19). The PLC comprised 6 hours of SBT, which progressed in complexity and difficulty. The SCC included 6 hours of SBT, with cases of random order of difficulty. Both groups received expert feedback and 4 hours of didactic teaching. Participants were assessed at baseline, immediately after training, and 4 to 6 weeks after training. The primary outcome was participants' performance during their first 2 clinical colonoscopies, as assessed by using the Joint Advisory Group Direct Observation of Procedural Skills assessment tool (JAG DOPS). Secondary outcomes were differences in endoscopic knowledge, technical and communication skills, and global performance in the simulated setting. The PLC group outperformed the SCC group during first and second clinical colonoscopies, measured by JAG DOPS (P < .001). Additionally, the PLC group had superior technical and communication skills and global performance in the simulated setting (P < .05). There were no differences between groups in endoscopic knowledge (P > .05). Our findings demonstrate the superiority of a PLC for endoscopic simulation, compared with an SCC. Challenging trainees progressively is a simple, theory-based approach to simulation whereby the performance of clinical colonoscopies can be improved. (Clinical trial registration number: NCT02000180.). Copyright © 2017 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Marking out the clinical expert/clinical leader/clinical scholar: perspectives from nurses in the clinical arena.

PubMed

Mannix, Judy; Wilkes, Lesley; Jackson, Debra

2013-01-01

Clinical scholarship has been conceptualised and theorised in the nursing literature for over 30 years but no research has captured nurses' clinicians' views on how it differs or is the same as clinical expertise and clinical leadership. The aim of this study was to determine clinical nurses' understanding of the differences and similarities between the clinical expert, clinical leader and clinical scholar. A descriptive interpretative qualitative approach using semi-structured interviews with 18 practising nurses from Australia, Canada and England. The audio-taped interviews were transcribed and the text coded for emerging themes. The themes were sorted into categories of clinical expert, clinical leader and clinical scholarship as described by the participants. These themes were then compared and contrasted and the essential elements that characterise the nursing roles of the clinical expert, clinical leader and clinical scholar were identified. Clinical experts were seen as linking knowledge to practice with some displaying clinical leadership and scholarship. Clinical leadership is seen as a positional construct with a management emphasis. For the clinical scholar they linked theory and practice and encouraged research and dissemination of knowledge. There are distinct markers for the roles of clinical expert, clinical leader and clinical scholar. Nurses working in one or more of these roles need to work together to improve patient care. An 'ideal nurse' may be a blending of all three constructs. As nursing is a practice discipline its scholarship should be predominantly based on clinical scholarship. Nurses need to be encouraged to go beyond their roles as clinical leaders and experts to use their position to challenge and change through the propagation of knowledge to their community.

Marking out the clinical expert/clinical leader/clinical scholar: perspectives from nurses in the clinical arena

PubMed Central

2013-01-01

Background Clinical scholarship has been conceptualised and theorised in the nursing literature for over 30 years but no research has captured nurses’ clinicians’ views on how it differs or is the same as clinical expertise and clinical leadership. The aim of this study was to determine clinical nurses’ understanding of the differences and similarities between the clinical expert, clinical leader and clinical scholar. Methods A descriptive interpretative qualitative approach using semi-structured interviews with 18 practising nurses from Australia, Canada and England. The audio-taped interviews were transcribed and the text coded for emerging themes. The themes were sorted into categories of clinical expert, clinical leader and clinical scholarship as described by the participants. These themes were then compared and contrasted and the essential elements that characterise the nursing roles of the clinical expert, clinical leader and clinical scholar were identified. Results Clinical experts were seen as linking knowledge to practice with some displaying clinical leadership and scholarship. Clinical leadership is seen as a positional construct with a management emphasis. For the clinical scholar they linked theory and practice and encouraged research and dissemination of knowledge. Conclusion There are distinct markers for the roles of clinical expert, clinical leader and clinical scholar. Nurses working in one or more of these roles need to work together to improve patient care. An ‘ideal nurse’ may be a blending of all three constructs. As nursing is a practice discipline its scholarship should be predominantly based on clinical scholarship. Nurses need to be encouraged to go beyond their roles as clinical leaders and experts to use their position to challenge and change through the propagation of knowledge to their community. PMID:23587282

Virtual gaming simulation of a mental health assessment: A usability study.

PubMed

Verkuyl, Margaret; Romaniuk, Daria; Mastrilli, Paula

2018-05-18

Providing safe and realistic virtual simulations could be an effective way to facilitate the transition from the classroom to clinical practice. As nursing programs begin to include virtual simulations as a learning strategy; it is critical to first assess the technology for ease of use and usefulness. A virtual gaming simulation was developed, and a usability study was conducted to assess its ease of use and usefulness for students and faculty. The Technology Acceptance Model provided the framework for the study, which included expert review and testing by nursing faculty and nursing students. This study highlighted the importance of assessing ease of use and usefulness in a virtual game simulation and provided feedback for the development of an effective virtual gaming simulation. The study participants said the virtual gaming simulation was engaging, realistic and similar to a clinical experience. Participants found the game easy to use and useful. Testing provided the development team with ideas to improve the user interface. The usability methodology provided is a replicable approach to testing virtual experiences before a research study or before implementing virtual experiences into curriculum. Copyright © 2018 Elsevier Ltd. All rights reserved.

A comprehensive information technology system to support physician learning at the point of care.

PubMed

Cook, David A; Sorensen, Kristi J; Nishimura, Rick A; Ommen, Steve R; Lloyd, Farrell J

2015-01-01

MayoExpert is a multifaceted information system integrated with the electronic medical record (EMR) across Mayo Clinic's multisite health system. It was developed as a technology-based solution to manage information, standardize clinical practice, and promote and document learning in clinical contexts. Features include urgent test result notifications; models illustrating expert-approved care processes; concise, expert-approved answers to frequently asked questions (FAQs); a directory of topic-specific experts; and a portfolio for provider licensure and credentialing. The authors evaluate MayoExpert's reach, effectiveness, adoption, implementation, and maintenance. Evaluation data sources included usage statistics, user surveys, and pilot studies.As of October 2013, MayoExpert was available at 94 clinical sites in 12 states and contained 1,368 clinical topics, answers to 7,640 FAQs, and 92 care process models. In 2012, MayoExpert was accessed at least once by 2,578/3,643 (71%) staff physicians, 900/1,374 (66%) midlevel providers, and 1,728/2,291 (75%) residents and fellows. In a 2013 survey of MayoExpert users with 536 respondents, all features were highly rated (≥67% favorable). More providers reported using MayoExpert to answer questions before/after than during patient visits (68% versus 36%). During November 2012 to April 2013, MayoExpert sent 1,660 notifications of new-onset atrial fibrillation and 1,590 notifications of prolonged QT. MayoExpert has become part of routine clinical and educational operations, and its care process models now define Mayo Clinic best practices. MayoExpert's infrastructure and content will continue to expand with improved templates and content organization, new care process models, additional notifications, better EMR integration, and improved support for credentialing activities.

Development and psychometric testing of a Clinical Reasoning Evaluation Simulation Tool (CREST) for assessing nursing students' abilities to recognize and respond to clinical deterioration.

PubMed

Liaw, Sok Ying; Rashasegaran, Ahtherai; Wong, Lai Fun; Deneen, Christopher Charles; Cooper, Simon; Levett-Jones, Tracy; Goh, Hongli Sam; Ignacio, Jeanette

2018-03-01

The development of clinical reasoning skills in recognising and responding to clinical deterioration is essential in pre-registration nursing education. Simulation has been increasingly used by educators to develop this skill. To develop and evaluate the psychometric properties of a Clinical Reasoning Evaluation Simulation Tool (CREST) for measuring clinical reasoning skills in recognising and responding to clinical deterioration in a simulated environment. A scale development with psychometric testing and mixed methods study. Nursing students and academic staff were recruited at a university. A three-phase prospective study was conducted. Phase 1 involved the development and content validation of the CREST; Phase 2 included the psychometric testing of the tool with 15 second-year and 15 third-year nursing students who undertook the simulation-based assessment; Phase 3 involved the usability testing of the tool with nine academic staff through a survey questionnaire and focus group discussion. A 10-item CREST was developed based on a model of clinical reasoning. A content validity of 0.93 was obtained from the validation of 15 international experts. The construct validity was supported as the third-year students demonstrated significantly higher (p<0.001) clinical reasoning scores than the second-year students. The concurrent validity was also supported with significant positive correlations between global rating scores and almost all subscale scores, and the total scores. The predictive validity was supported with an existing tool. The internal consistency was high with a Cronbach's alpha of 0.92. A high inter-rater reliability was demonstrated with an intraclass correlation coefficient of 0.88. The usability of the tool was rated positively by the nurse educators but the need to ease the scoring process was highlighted. A valid and reliable tool was developed to measure the effectiveness of simulation in developing clinical reasoning skills for recognising and responding to clinical deterioration. Copyright © 2017. Published by Elsevier Ltd.

Construct validity and expert benchmarking of the haptic virtual reality dental simulator.

PubMed

Suebnukarn, Siriwan; Chaisombat, Monthalee; Kongpunwijit, Thanapohn; Rhienmora, Phattanapon

2014-10-01

The aim of this study was to demonstrate construct validation of the haptic virtual reality (VR) dental simulator and to define expert benchmarking criteria for skills assessment. Thirty-four self-selected participants (fourteen novices, fourteen intermediates, and six experts in endodontics) at one dental school performed ten repetitions of three mode tasks of endodontic cavity preparation: easy (mandibular premolar with one canal), medium (maxillary premolar with two canals), and hard (mandibular molar with three canals). The virtual instrument's path length was registered by the simulator. The outcomes were assessed by an expert. The error scores in easy and medium modes accurately distinguished the experts from novices and intermediates at the onset of training, when there was a significant difference between groups (ANOVA, p<0.05). The trend was consistent until trial 5. From trial 6 on, the three groups achieved similar scores. No significant difference was found between groups at the end of training. Error score analysis was not able to distinguish any group at the hard level of training. Instrument path length showed a difference in performance according to groups at the onset of training (ANOVA, p<0.05). This study established construct validity for the haptic VR dental simulator by demonstrating its discriminant capabilities between that of experts and non-experts. The experts' error scores and path length were used to define benchmarking criteria for optimal performance.

Creation and Validation of a Novel Mobile Simulation Laboratory for High Fidelity, Prehospital, Difficult Airway Simulation.

PubMed

Bischof, Jason J; Panchal, Ashish R; Finnegan, Geoffrey I; Terndrup, Thomas E

2016-10-01

Introduction Endotracheal intubation (ETI) is a complex clinical skill complicated by the inherent challenge of providing care in the prehospital setting. Literature reports a low success rate of prehospital ETI attempts, partly due to the care environment and partly to the lack of consistent standardized training opportunities of prehospital providers in ETI. Hypothesis/Problem The availability of a mobile simulation laboratory (MSL) to study clinically critical interventions is needed in the prehospital setting to enhance instruction and maintain proficiency. This report is on the development and validation of a prehospital airway simulator and MSL that mimics in situ care provided in an ambulance. The MSL was a Type 3 ambulance with four cameras allowing audio-video recordings of observable behaviors. The prehospital airway simulator is a modified airway mannequin with increased static tongue pressure and a rigid cervical collar. Airway experts validated the model in a static setting through ETI at varying tongue pressures with a goal of a Grade 3 Cormack-Lehane (CL) laryngeal view. Following completion of this development, the MSL was launched with the prehospital airway simulator to distant communities utilizing a single facilitator/driver. Paramedics were recruited to perform ETI in the MSL, and the detailed airway management observations were stored for further analysis. Nineteen airway experts performed 57 ETI attempts at varying tongue pressures demonstrating increased CL views at higher tongue pressures. Tongue pressure of 60 mm Hg generated 31% Grade 3/4 CL view and was chosen for the prehospital trials. The MSL was launched and tested by 18 paramedics. First pass success was 33% with another 33% failing to intubate within three attempts. The MSL created was configured to deliver, record, and assess intubator behaviors with a difficult airway simulation. The MSL created a reproducible, high fidelity, mobile learning environment for assessment of simulated ETI performance by prehospital providers. Bischof JJ , Panchal AR , Finnegan GI , Terndrup TE . Creation and validation of a novel mobile simulation laboratory for high fidelity, prehospital, difficult airway simulation. Prehosp Disaster Med. 2016;31(5):465-470.

Assessing clinical competency in the health sciences

NASA Astrophysics Data System (ADS)

Panzarella, Karen Joanne

To test the success of integrated curricula in schools of health sciences, meaningful measurements of student performance are required to assess clinical competency. This research project analyzed a new performance assessment tool, the Integrated Standardized Patient Examination (ISPE), for assessing clinical competency: specifically, to assess Doctor of Physical Therapy (DPT) students' clinical competence as the ability to integrate basic science knowledge with clinical communication skills. Thirty-four DPT students performed two ISPE cases, one of a patient who sustained a stroke and the other a patient with a herniated lumbar disc. Cases were portrayed by standardized patients (SPs) in a simulated clinical setting. Each case was scored by an expert evaluator in the exam room and then by one investigator and the students themselves via videotape. The SPs scored each student on an overall encounter rubric. Written feedback was obtained from all participants in the study. Acceptable reliability was demonstrated via inter-rater agreement as well as inter-rater correlations on items that used a dichotomous scale, whereas the items requiring the use of the 4-point rubric were somewhat less reliable. For the entire scale both cases had a significant correlation between the Expert-Investigator pair of raters, for the CVA case r = .547, p < .05 and for the HD case r = .700, p < .01. The SPs scored students higher than the other raters. Students' self-assessments were most closely aligned with the investigator. Effects were apparent due to case. Content validity was gathered in the process of developing cases and patient scenarios that were used in this study. Construct validity was obtained from the survey results analyzed from the experts and students. Future studies should examine the effect of rater training upon the reliability. Criterion or predictive validity could be further studied by comparing students' performances on the ISPE with other independent estimates of students' competence. The unique integration questions of the ISPE were judged to have good content validity from experts and students, suggestive that integration, a most crucial element of clinical competence, while done in the mind of the student, can be practiced, learned and assessed.

Measuring third year undergraduate nursing students' reflective thinking skills and critical reflection self-efficacy following high fidelity simulation: A pilot study.

PubMed

Tutticci, Naomi; Lewis, Peter A; Coyer, Fiona

2016-05-01

Critical reflection underpins critical thinking, a highly desirable generic nursing graduate capability. To improve the likelihood of critical thinking transferring to clinical practice, reflective thinking needs to be measured within the learning space of simulation. This study was divided into two phases to address the reliability and validity measures of previously untested surveys. Phase One data was collected from individuals (n = 6) using a 'think aloud' approach and an expert panel to review content validity, and verbatim comment analysis was undertaken. The Reflective Thinking Instrument and Critical Reflection Self-Efficacy Visual Analogue Scale items were contextualised to simulation. The expert review confirmed these instruments exhibited content validity. Phase Two data was collected through an online survey (n = 58). Cronbach's alpha measured internal consistency and was demonstrated by all subscales and the Instrument as a whole (.849). There was a small to medium positive correlation between critical reflection self-efficacy and general self-efficacy (r = .324, n = 56, p = .048). Participant responses were positive regarding the simulation experience. The research findings demonstrated that the Reflective Thinking and Simulation Satisfaction survey is reliable. Further development of this survey to establish validity is recommended to make it viable. Copyright © 2016 Elsevier Ltd. All rights reserved.

Crisis checklists for in-hospital emergencies: expert consensus, simulation testing and recommendations for a template determined by a multi-institutional and multi-disciplinary learning collaborative.

PubMed

Subbe, Christian P; Kellett, John; Barach, Paul; Chaloner, Catriona; Cleaver, Hayley; Cooksley, Tim; Korsten, Erik; Croke, Eilish; Davis, Elinor; De Bie, Ashley Jr; Durham, Lesley; Hancock, Chris; Hartin, Jilian; Savijn, Tracy; Welch, John

2017-05-08

'Failure to rescue' of hospitalized patients with deteriorating physiology on general wards is caused by a complex array of organisational, technical and cultural failures including a lack of standardized team and individual expected responses and actions. The aim of this study using a learning collaborative method was to develop consensus recomendations on the utility and effectiveness of checklists as training and operational tools to assist in improving the skills of general ward staff on the effective rescue of patients with abnormal physiology. A scoping study of the literature was followed by a multi-institutional and multi-disciplinary international learning collaborative. We sought to achieve a consensus on procedures and clinical simulation technology to determine the requirements, develop and test a safe using a checklist template that is rapidly accessible to assist in emergency management of common events for general ward use. Safety considerations about deteriorating patients were agreed upon and summarized. A consensus was achieved among an international group of experts on currently available checklist formats performing poorly in simulation testing as first responders in general ward clinical crises. The Crisis Checklist Collaborative ratified a consensus template for a general ward checklist that provides a list of issues for first responders to address (i.e. 'Check In'), a list of prompts regarding common omissions (i.e. 'Stop & Think'), and, a list of items required for the safe "handover" of patients that remain on the general ward (i.e. 'Check Out'). Simulation usability assessment of the template demonstrated feasibility for clinical management of deteriorating patients. Emergency checklists custom-designed for general ward patients have the potential to guide the treatment speed and reliability of responses for emergency management of patients with abnormal physiology while minimizing the risk of adverse events. Interventional trials are needed.

The effect of fidelity: how expert behavior changes in a virtual reality environment.

PubMed

Ioannou, Ioanna; Avery, Alex; Zhou, Yun; Szudek, Jacek; Kennedy, Gregor; O'Leary, Stephen

2014-09-01

We compare the behavior of expert surgeons operating on the "gold standard" of simulation-the cadaveric temporal bone-against a high-fidelity virtual reality (VR) simulation. We aim to determine whether expert behavior changes within the virtual environment and to understand how the fidelity of simulation affects users' behavior. Five expert otologists performed cortical mastoidectomy and cochleostomy on a human cadaveric temporal bone and a VR temporal bone simulator. Hand movement and video recordings were used to derive a range of measures, to facilitate an analysis of surgical technique, and to compare expert behavior between the cadaveric and simulator environments. Drilling time was similar across the two environments. Some measures such as total time and burr change count differed predictably due to the ease of switching burrs within the simulator. Surgical strokes were generally longer in distance and duration in VR, but these measures changed proportionally to cadaveric measures across the stages of the procedure. Stroke shape metrics differed, which was attributed to the modeling of burr behavior within the simulator. This will be corrected in future versions. Slight differences in drill interaction between a virtual environment and the real world can have measurable effects on surgical technique, particularly in terms of stroke length, duration, and curvature. It is important to understand these effects when designing and implementing surgical training programs based on VR simulation--and when improving the fidelity of VR simulators to facilitate use of a similar technique in both real and simulated situations. © 2014 The American Laryngological, Rhinological and Otological Society, Inc.

Monte Carlo simulations in Nuclear Medicine

NASA Astrophysics Data System (ADS)

Loudos, George K.

2007-11-01

Molecular imaging technologies provide unique abilities to localise signs of disease before symptoms appear, assist in drug testing, optimize and personalize therapy, and assess the efficacy of treatment regimes for different types of cancer. Monte Carlo simulation packages are used as an important tool for the optimal design of detector systems. In addition they have demonstrated potential to improve image quality and acquisition protocols. Many general purpose (MCNP, Geant4, etc) or dedicated codes (SimSET etc) have been developed aiming to provide accurate and fast results. Special emphasis will be given to GATE toolkit. The GATE code currently under development by the OpenGATE collaboration is the most accurate and promising code for performing realistic simulations. The purpose of this article is to introduce the non expert reader to the current status of MC simulations in nuclear medicine and briefly provide examples of current simulated systems, and present future challenges that include simulation of clinical studies and dosimetry applications.

Expert and competent non-expert visual cues during simulated diagnosis in intensive care.

PubMed

McCormack, Clare; Wiggins, Mark W; Loveday, Thomas; Festa, Marino

2014-01-01

The aim of this study was to examine the information acquisition strategies of expert and competent non-expert intensive care physicians during two simulated diagnostic scenarios involving respiratory distress in an infant. Specifically, the information acquisition performance of six experts and 12 competent non-experts was examined using an eye-tracker during the initial 90 s of the assessment of the patient. The results indicated that, in comparison to competent non-experts, experts recorded longer mean fixations, irrespective of the scenario. When the dwell times were examined against specific areas of interest, the results revealed that competent non-experts recorded greater overall dwell times on the nurse, where experts recorded relatively greater dwell times on the head and face of the manikin. In the context of the scenarios, experts recorded differential dwell times, spending relatively more time on the head and face during the seizure scenario than during the coughing scenario. The differences evident between experts and competent non-experts were interpreted as evidence of the relative availability of task-specific cues or heuristics in memory that might direct the process of information acquisition amongst expert physicians. The implications are discussed for the training and assessment of diagnostic skills.

Developing performance indicators for clinical governance in dimensions of risk management and clinical effectiveness.

PubMed

Azami-Aghdash, Saber; Tabrizi, Jafar Sadegh; Sadeghi-Bazargani, Homayoun; Hajebrahimi, Sakineh; Naghavi-Behzad, Mohammad

2015-04-01

This study has been designed and conducted to develop domestic indicators for evaluating the performance of clinical governance in dimensions of risk management and clinical effectiveness. This study implemented a 5-stage process including conducting a comprehensive literature review, expert panel (∼ 1000 h per person per session, 11 experts), semi-structured interviews, a 2-round Delphi study (33 experts were in attendance) and a final expert panel (8 experts were in attendance). East Azerbaijan-Iran Province. Fifty-six specialists and experts in different fields of medical sciences. Importance and applicability of indicators. Using a thorough literature review, 361 indicators (129 risk management indicators in 4 dimensions and 232 clinical effectiveness indicators in 18 dimensions) were found. After conducting expert panels and interviews, the number of indicators decreased to 168 cases (65 risk management indicators in 4 dimensions and 103 clinical effectiveness indicators in 12 dimensions). Two rounds of Delphi identified four indicators that were omitted. The members of the final expert panel agreed on 113 indicators (43 risk management indicators in 4 dimensions and 70 clinical effectiveness indicators in 11 dimensions). In this study, indicators for assessing clinical governance in domains of risk management and clinical effectiveness were designed that can be used by policy-makers and other authorities for improving the quality of services and evaluating the performance of clinical governance. Those indicators can be used with slight modifications in other countries having healthcare systems similar to that of Iran. © The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

Proposing "the burns suite" as a novel simulation tool for advancing the delivery of burns education.

PubMed

Sadideen, Hazim; Wilson, David; Moiemen, Naiem; Kneebone, Roger

2014-01-01

Educational theory highlights the importance of contextualized simulation for effective learning. We explored this concept in a burns scenario in a novel, low-cost, high-fidelity, portable, immersive simulation environment (referred to as distributed simulation). This contextualized simulation/distributed simulation combination was named "The Burns Suite" (TBS). A pediatric burn resuscitation scenario was selected after high trainee demand. It was designed on Advanced Trauma and Life Support and Emergency Management of Severe Burns principles and refined using expert opinion through cognitive task analysis. TBS contained "realism" props, briefed nurses, and a simulated patient. Novices and experts were recruited. Five-point Likert-type questionnaires were developed for face and content validity. Cronbach's α was calculated for scale reliability. Semistructured interviews captured responses for qualitative thematic analysis allowing for data triangulation. Twelve participants completed TBS scenario. Mean face and content validity ratings were high (4.6 and 4.5, respectively; range, 4-5). The internal consistency of questions was high. Qualitative data analysis revealed that participants felt 1) the experience was "real" and they were "able to behave as if in a real resuscitation environment," and 2) TBS "addressed what Advanced Trauma and Life Support and Emergency Management of Severe Burns didn't" (including the efficacy of incorporating nontechnical skills). TBS provides a novel, effective simulation tool to significantly advance the delivery of burns education. Recreating clinical challenge is crucial to optimize simulation training. This low-cost approach also has major implications for surgical education, particularly during increasing financial austerity. Alternative scenarios and/or procedures can be recreated within TBS, providing a diverse educational immersive simulation experience.

Development of an expert system for analysis of Shuttle atmospheric revitalization and pressure control subsystem anomalies

NASA Technical Reports Server (NTRS)

Lafuse, Sharon A.

1991-01-01

The paper describes the Shuttle Leak Management Expert System (SLMES), a preprototype expert system developed to enable the ECLSS subsystem manager to analyze subsystem anomalies and to formulate flight procedures based on flight data. The SLMES combines the rule-based expert system technology with the traditional FORTRAN-based software into an integrated system. SLMES analyzes the data using rules, and, when it detects a problem that requires simulation, it sets up the input for the FORTRAN-based simulation program ARPCS2AT2, which predicts the cabin total pressure and composition as a function of time. The program simulates the pressure control system, the crew oxygen masks, the airlock repress/depress valves, and the leakage. When the simulation has completed, other SLMES rules are triggered to examine the results of simulation contrary to flight data and to suggest methods for correcting the problem. Results are then presented in form of graphs and tables.

Designing simulator-based training: an approach integrating cognitive task analysis and four-component instructional design.

PubMed

Tjiam, Irene M; Schout, Barbara M A; Hendrikx, Ad J M; Scherpbier, Albert J J M; Witjes, J Alfred; van Merriënboer, Jeroen J G

2012-01-01

Most studies of simulator-based surgical skills training have focused on the acquisition of psychomotor skills, but surgical procedures are complex tasks requiring both psychomotor and cognitive skills. As skills training is modelled on expert performance consisting partly of unconscious automatic processes that experts are not always able to explicate, simulator developers should collaborate with educational experts and physicians in developing efficient and effective training programmes. This article presents an approach to designing simulator-based skill training comprising cognitive task analysis integrated with instructional design according to the four-component/instructional design model. This theory-driven approach is illustrated by a description of how it was used in the development of simulator-based training for the nephrostomy procedure.

Potential application of artificial concepts to aerodynamic simulation

NASA Technical Reports Server (NTRS)

Kutler, P.; Mehta, U. B.; Andrews, A.

1984-01-01

The concept of artificial intelligence as it applies to computational fluid dynamics simulation is investigated. How expert systems can be adapted to speed the numerical aerodynamic simulation process is also examined. A proposed expert grid generation system is briefly described which, given flow parameters, configuration geometry, and simulation constraints, uses knowledge about the discretization process to determine grid point coordinates, computational surface information, and zonal interface parameters.

2nd Annual Invited Experts Meeting on Simulation-Based Medical Training

DTIC Science & Technology

2005-12-01

medicine, government, and regulatory officials with medical simulation and patient safety experts. In 2005, TATRC continued its support of this effort...standardized patients allow students to interact with “actors” specifically trained to present their medical histories, simulate physical symptoms, and...simulation-based medical training benefits all of us, as follows: • Patients benefit from improved health outcomes and reduced errors and deaths

Differentiating levels of surgical experience on a virtual reality temporal bone simulator.

PubMed

Zhao, Yi C; Kennedy, Gregor; Hall, Richard; O'Leary, Stephen

2010-11-01

Virtual reality simulation is increasingly being incorporated into surgical training and may have a role in temporal bone surgical education. Here we test whether metrics generated by a virtual reality surgical simulation can differentiate between three levels of experience, namely novices, otolaryngology residents, and experienced qualified surgeons. Cohort study. Royal Victorian Eye and Ear Hospital. Twenty-seven participants were recruited. There were 12 experts, six residents, and nine novices. After orientation, participants were asked to perform a modified radical mastoidectomy on the simulator. Comparisons of time taken, injury to structures, and forces exerted were made between the groups to determine which specific metrics would discriminate experience levels. Experts completed the simulated task in significantly shorter time than the other two groups (experts 22 minutes, residents 36 minutes, and novices 46 minutes; P = 0.001). Novices exerted significantly higher average forces when dissecting close to vital structures compared with experts (0.24 Newton [N] vs 0.13 N, P = 0.002). Novices were also more likely to injure structures such as dura compared to experts (23 injuries vs 3 injuries, P = 0.001). Compared with residents, the experts modulated their force between initial cortex dissection and dissection close to vital structures. Using the combination of these metrics, we were able to correctly classify the participants' level of experience 90 percent of the time. This preliminary study shows that measurements of performance obtained from within a virtual reality simulator can differentiate between levels of users' experience. These results suggest that simulator training may have a role in temporal bone training beyond foundational training. Copyright © 2010 American Academy of Otolaryngology–Head and Neck Surgery Foundation. Published by Mosby, Inc. All rights reserved.

[Relevance of a driving simulator in the assessment of handicapped individuals].

PubMed

Carroz, A; Comte, P-A; Nicolo, D; Dériaz, O; Vuadens, P

2008-06-01

To evaluate the value of our driving simulator in deciding whether or not to allow patients with physical and/or cognitive deficits to resuming driving and to analyze whether or not the medical expert's final decision is based more on the results of the driving simulator than those of the neuropsychological examination. One hundred and twenty-three patients were evaluated with the driving simulator. Thirty-five of those with cognitive deficits also underwent a neuropsychological examination prior to the medical expert's decision on driving aptitude. In cases of uncertainty or disagreement, a driving assessment in real conditions was performed by a driving instructor. In cases of physical handicap, the medical expert's decision concurred with that of the occupational therapist. For brain-injured patients, there was a significant correlation between the neuropsychologist's opinion and that of the occupational therapist (kappa=0.33; P=0.01). However, the sensibility and specificity were only 55 and 80%, respectively. The correlation between an occupational therapy decision based on the driving simulator and that of the medical expert was very significant (kappa=0.81; P<0.0001) and the sensibility and specificity were 84 and 100%, respectively. In contrast, these values were lower (63 and 71%, respectively) for the correlation between the neuropsychologist's opinion and that of the medical expert. Our driving simulator enables the danger-free evaluation of driving aptitude. The results mirror an in situ assessment and are more sensitive than neuropsychological examination. In fact, the neuropsychologist's opinion often is more negative or uncertain with respect to the patient's real driving aptitude. When taking a decision on a patient's driving aptitude, the medical expert is more inclined to trust the results of the driving simulator.

Millennium conference 2005 on medical simulation: a summary report.

PubMed

Huang, Grace C; Gordon, James A; Schwartzstein, Richard M

2007-01-01

Medical simulation takes advantage of contextual and experiential learning by allowing trainees to practice in realistic environments prior to actual patient care. Although proponents argue that patient simulation can fundamentally enhance both medical education and patient safety, large-scale experience with advanced simulation technologies is limited. To explore expert opinion on the topic, we convened a conference of educational leaders and simulation experts to provide recommendations for how this field should be directed on a broad scale to improve the training of future health professionals. This document summarizes the proceedings of that conference. We issued a request for applications to all U.S. and Canadian medical schools within the Association of American Medical Colleges (AAMC), seeking a diverse group of institutional teams committed to an in-depth exploration of the topic. Of 33 applications, nine medical schools were selected to participate. Once on site, eight working groups were formed, each comprised of representatives across sites and roles, including deans, clerkship and program directors, content experts, and trainees. We addressed four key topics, which are subsequently summarized for presentation in this report: 1) education (How can medical simulation contribute to the education of trainees?), 2) assessment (What is the role of simulation in evaluating trainees in the context of general competencies?), 3) research (How should we develop a research agenda to evaluate simulation?), and 4) implementation (How should simulation technologies be developed and managed within and across institutions?). Participants in the conference generally agreed that simulation offers a conducive environment for focused reflection and critical thought. Although there was consensus that medical simulation can provide a robust platform for performance assessment, most participants thought that the research basis for high-stakes assessment was still too immature for widespread implementation. Participants generally agreed that sufficiently powered research will require interinstitutional collaboration on uniform curricula and meaningful outcome tools, and that both biomedical and social science research paradigms will need to be applied to the questions at hand. Common barriers to medical simulation include both real and perceived lack of resources, poor understanding among faculty regarding the nature of the tools and techniques, and the inherent complexity of multidisciplinary collaboration. Medical simulation can and should be used to complement current methods of medical education. Educators should make thoughtful choices among simulation modalities to help trainees most effectively achieve learning objectives. Simulation researchers should prioritize the development and validation of clinical performance tools and other defined outcome measures on which meaningful large-scale research can be anchored. Finally, national collaboration should be encouraged and fostered by institutions and funding agencies.

Validity evidence and reliability of a simulated patient feedback instrument.

PubMed

Schlegel, Claudia; Woermann, Ulrich; Rethans, Jan-Joost; van der Vleuten, Cees

2012-01-27

In the training of healthcare professionals, one of the advantages of communication training with simulated patients (SPs) is the SP's ability to provide direct feedback to students after a simulated clinical encounter. The quality of SP feedback must be monitored, especially because it is well known that feedback can have a profound effect on student performance. Due to the current lack of valid and reliable instruments to assess the quality of SP feedback, our study examined the validity and reliability of one potential instrument, the 'modified Quality of Simulated Patient Feedback Form' (mQSF). Content validity of the mQSF was assessed by inviting experts in the area of simulated clinical encounters to rate the importance of the mQSF items. Moreover, generalizability theory was used to examine the reliability of the mQSF. Our data came from videotapes of clinical encounters between six simulated patients and six students and the ensuing feedback from the SPs to the students. Ten faculty members judged the SP feedback according to the items on the mQSF. Three weeks later, this procedure was repeated with the same faculty members and recordings. All but two items of the mQSF received importance ratings of > 2.5 on a four-point rating scale. A generalizability coefficient of 0.77 was established with two judges observing one encounter. The findings for content validity and reliability with two judges suggest that the mQSF is a valid and reliable instrument to assess the quality of feedback provided by simulated patients.

Monte Carlo simulation of expert judgments on human errors in chemical analysis--a case study of ICP-MS.

PubMed

Kuselman, Ilya; Pennecchi, Francesca; Epstein, Malka; Fajgelj, Ales; Ellison, Stephen L R

2014-12-01

Monte Carlo simulation of expert judgments on human errors in a chemical analysis was used for determination of distributions of the error quantification scores (scores of likelihood and severity, and scores of effectiveness of a laboratory quality system in prevention of the errors). The simulation was based on modeling of an expert behavior: confident, reasonably doubting and irresolute expert judgments were taken into account by means of different probability mass functions (pmfs). As a case study, 36 scenarios of human errors which may occur in elemental analysis of geological samples by ICP-MS were examined. Characteristics of the score distributions for three pmfs of an expert behavior were compared. Variability of the scores, as standard deviation of the simulated score values from the distribution mean, was used for assessment of the score robustness. A range of the score values, calculated directly from elicited data and simulated by a Monte Carlo method for different pmfs, was also discussed from the robustness point of view. It was shown that robustness of the scores, obtained in the case study, can be assessed as satisfactory for the quality risk management and improvement of a laboratory quality system against human errors. Copyright © 2014 Elsevier B.V. All rights reserved.

Integration and Validation of Hysteroscopy Simulation in the Surgical Training Curriculum.

PubMed

Elessawy, Mohamed; Skrzipczyk, Moritz; Eckmann-Scholz, Christel; Maass, Nicolai; Mettler, Liselotte; Guenther, Veronika; van Mackelenbergh, Marion; Bauerschlag, Dirk O; Alkatout, Ibrahim

The primary objective of our study was to test the construct validity of the HystSim hysteroscopic simulator to determine whether simulation training can improve the acquisition of hysteroscopic skills regardless of the previous levels of experience of the participants. The secondary objective was to analyze the performance of a selected task, using specially designed scoring charts to help reduce the learning curve for both novices and experienced surgeons. The teaching of hysteroscopic intervention has received only scant attention, focusing mainly on the development of physical models and box simulators. This encouraged our working group to search for a suitable hysteroscopic simulator module and to test its validation. We decided to use the HystSim hysteroscopic simulator, which is one of the few such simulators that has already completed a validation process, with high ratings for both realism and training capacity. As a testing tool for our study, we selected the myoma resection task. We analyzed the results using the multimetric score system suggested by HystSim, allowing a more precise interpretation of the results. Between June 2014 and May 2015, our group collected data on 57 participants of minimally invasive surgical training courses at the Kiel School of Gynecological Endoscopy, Department of Gynecology and Obstetrics, University Hospitals Schleswig-Holstein, Campus Kiel. The novice group consisted of 42 medical students and residents with no prior experience in hysteroscopy, whereas the expert group consisted of 15 participants with more than 2 years of experience of advanced hysteroscopy operations. The overall results demonstrated that all participants attained significant improvements between their pretest and posttests, independent of their previous levels of experience (p < 0.002). Those in the expert group demonstrated statistically significant, superior scores in the pretest and posttests (p = 0.001, p = 0.006). Regarding visualization and ergonomics, the novices showed a better pretest value than the experts; however, the experts were able to improve significantly during the posttest. These precise findings demonstrated that the multimetric scoring system achieved several important objectives, including clinical relevance, critical relevance, and training motivation. All participants demonstrated improvements in their hysteroscopic skills, proving an adequate construct validation of the HystSim. Using the multimetric scoring system enabled a more accurate analysis of the performance of the participants independent of their levels of experience which could be an important key for streamlining the learning curve. Future studies testing the predictive validation of the simulator and frequency of the training intervals are necessary before the introduction of the simulator into the standard surgical training curriculum. Copyright © 2016 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

How much expert knowledge is it worth to put in conceptual hydrological models?

NASA Astrophysics Data System (ADS)

Antonetti, Manuel; Zappa, Massimiliano

2017-04-01

Both modellers and experimentalists agree on using expert knowledge to improve our conceptual hydrological simulations on ungauged basins. However, they use expert knowledge differently for both hydrologically mapping the landscape and parameterising a given hydrological model. Modellers use generally very simplified (e.g. topography-based) mapping approaches and put most of the knowledge for constraining the model by defining parameter and process relational rules. In contrast, experimentalists tend to invest all their detailed and qualitative knowledge about processes to obtain a spatial distribution of areas with different dominant runoff generation processes (DRPs) as realistic as possible, and for defining plausible narrow value ranges for each model parameter. Since, most of the times, the modelling goal is exclusively to simulate runoff at a specific site, even strongly simplified hydrological classifications can lead to satisfying results due to equifinality of hydrological models, overfitting problems and the numerous uncertainty sources affecting runoff simulations. Therefore, to test to which extent expert knowledge can improve simulation results under uncertainty, we applied a typical modellers' modelling framework relying on parameter and process constraints defined based on expert knowledge to several catchments on the Swiss Plateau. To map the spatial distribution of the DRPs, mapping approaches with increasing involvement of expert knowledge were used. Simulation results highlighted the potential added value of using all the expert knowledge available on a catchment. Also, combinations of event types and landscapes, where even a simplified mapping approach can lead to satisfying results, were identified. Finally, the uncertainty originated by the different mapping approaches was compared with the one linked to meteorological input data and catchment initial conditions.

An Event-Based Approach to Design a Teamwork Training Scenario and Assessment Tool in Surgery.

PubMed

Nguyen, Ngan; Watson, William D; Dominguez, Edward

2016-01-01

Simulation is a technique recommended for teaching and measuring teamwork, but few published methodologies are available on how best to design simulation for teamwork training in surgery and health care in general. The purpose of this article is to describe a general methodology, called event-based approach to training (EBAT), to guide the design of simulation for teamwork training and discuss its application to surgery. The EBAT methodology draws on the science of training by systematically introducing training exercise events that are linked to training requirements (i.e., competencies being trained and learning objectives) and performance assessment. The EBAT process involves: Of the 4 teamwork competencies endorsed by the Agency for Healthcare Research Quality and Department of Defense, "communication" was chosen to be the focus of our training efforts. A total of 5 learning objectives were defined based on 5 validated teamwork and communication techniques. Diagnostic laparoscopy was chosen as the clinical context to frame the training scenario, and 29 KSAs were defined based on review of published literature on patient safety and input from subject matter experts. Critical events included those that correspond to a specific phase in the normal flow of a surgical procedure as well as clinical events that may occur when performing the operation. Similar to the targeted KSAs, targeted responses to the critical events were developed based on existing literature and gathering input from content experts. Finally, a 29-item EBAT-derived checklist was created to assess communication performance. Like any instructional tool, simulation is only effective if it is designed and implemented appropriately. It is recognized that the effectiveness of simulation depends on whether (1) it is built upon a theoretical framework, (2) it uses preplanned structured exercises or events to allow learners the opportunity to exhibit the targeted KSAs, (3) it assesses performance, and (4) it provides formative and constructive feedback to bridge the gap between the learners' KSAs and the targeted KSAs. The EBAT methodology guides the design of simulation that incorporates these 4 features and, thus, enhances training effectiveness with simulation. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Determining content for a simulation-based curriculum in pediatric emergency medicine: results from a national Delphi process.

PubMed

Bank, Ilana; Cheng, Adam; McLeod, Peter; Bhanji, Farhan

2015-11-01

By the end of residency training, pediatric emergency medicine (PEM) residents are expected to have developed the confidence and abilities required to manage acutely ill children. Acquisition of competence requires exposure and/or supplemental formal education for critical and noncritical medical clinical presentations. Simulation can provide experiential learning and can improve trainees' knowledge, skills, and attitudes. The primary objective of this project was to identify the content for a simulation-based national curriculum for PEM training. We recruited participants for the Delphi study by contacting current PEM program directors and immediate past program directors as well as simulation experts at all of the Canadian PEM fellowship sites. We determined the appropriate core content for the Delphi study by combining the PEM core content requirements of the Royal College of Physicians and Surgeons of Canada (RCPSC) and the American Board of Pediatrics (ABP). Using the Delphi method, we achieved consensus amongst the national group of PEM and simulation experts. The participants completed a three-round Delphi (using a four-point Likert scale). Response rates for the Delphi were 85% for the first round and 77% for second and third rounds. From the initial 224 topics, 53 were eliminated (scored <2). Eighty-five topics scored between 2 and 3, and 87 scored between 3 and 4. The 48 topics, which were scored between 3.5 and 4.0, were labeled as "key curriculum topics." We have iteratively identified a consensus for the content of a national simulation-based curriculum.

MOAB: a spatially explicit, individual-based expert system for creating animal foraging models

USGS Publications Warehouse

Carter, J.; Finn, John T.

1999-01-01

We describe the development, structure, and corroboration process of a simulation model of animal behavior (MOAB). MOAB can create spatially explicit, individual-based animal foraging models. Users can create or replicate heterogeneous landscape patterns, and place resources and individual animals of a goven species on that landscape to simultaneously simulate the foraging behavior of multiple species. The heuristic rules for animal behavior are maintained in a user-modifiable expert system. MOAB can be used to explore hypotheses concerning the influence of landscape patttern on animal movement and foraging behavior. A red fox (Vulpes vulpes L.) foraging and nest predation model was created to test MOAB's capabilities. Foxes were simulated for 30-day periods using both expert system and random movement rules. Home range size, territory formation and other available simulation studies. A striped skunk (Mephitis mephitis L.) model also was developed. The expert system model proved superior to stochastic in respect to territory formation, general movement patterns and home range size.

Simulation-based education with mastery learning improves residents' lumbar puncture skills

PubMed Central

Cohen, Elaine R.; Caprio, Timothy; McGaghie, William C.; Simuni, Tanya; Wayne, Diane B.

2012-01-01

Objective: To evaluate the effect of simulation-based mastery learning (SBML) on internal medicine residents' lumbar puncture (LP) skills, assess neurology residents' acquired LP skills from traditional clinical education, and compare the results of SBML to traditional clinical education. Methods: This study was a pretest-posttest design with a comparison group. Fifty-eight postgraduate year (PGY) 1 internal medicine residents received an SBML intervention in LP. Residents completed a baseline skill assessment (pretest) using a 21-item LP checklist. After a 3-hour session featuring deliberate practice and feedback, residents completed a posttest and were expected to meet or exceed a minimum passing score (MPS) set by an expert panel. Simulator-trained residents' pretest and posttest scores were compared to assess the impact of the intervention. Thirty-six PGY2, 3, and 4 neurology residents from 3 medical centers completed the same simulated LP assessment without SBML. SBML posttest scores were compared to neurology residents' baseline scores. Results: PGY1 internal medicine residents improved from a mean of 46.3% to 95.7% after SBML (p < 0.001) and all met the MPS at final posttest. The performance of traditionally trained neurology residents was significantly lower than simulator-trained residents (mean 65.4%, p < 0.001) and only 6% met the MPS. Conclusions: Residents who completed SBML showed significant improvement in LP procedural skills. Few neurology residents were competent to perform a simulated LP despite clinical experience with the procedure. PMID:22675080

Expert Systems--The New International Language of Business.

ERIC Educational Resources Information Center

Sondak, Norman E.; And Others

A discussion of expert systems, computer programs designed to simulate human reasoning and expertise, begins with the assumption that few business educators understand the impact that expert systems will have on international business. The fundamental principles of the design and development of expert systems in business are outlined, with special…

Adding an Expert to the Team: The Expert Flight Plan Critic

ERIC Educational Resources Information Center

Gibbons, Andrew; Waki, Randy; Fairweather, Peter

2008-01-01

This paper reports the development of a practical tool that provides expert feedback to students following an extended simulation exercise in cross-country flight planning. In contrast to development for laboratory settings, the development of an expert instructional product for everyday use posed some interesting challenges, including dealing…

Problem-solving strategies in psychiatry: differences between experts and novices in diagnostic accuracy and reasoning.

PubMed

Gabriel, Adel; Violato, Claudio

2013-01-01

The purpose of this study was to examine and compare diagnostic success and its relationship with the diagnostic reasoning process between novices and experts in psychiatry. Nine volunteers, comprising five expert psychiatrists and four clinical clerks, completed a think-aloud protocol while attempting to make a DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) diagnosis of a selected case with both Axis I and Axis III diagnoses. Expert psychiatrists made significantly more successful diagnoses for both the primary psychiatric and medical diagnoses than clinical clerks. Expert psychiatrists also gave fewer differential options. Analyzing the think-aloud protocols, expert psychiatrists were much more organized, made fewer mistakes, and utilized significantly less time to access their knowledge than clinical clerks. Both novices and experts seemed to use the hypothetic-deductive and scheme-inductive approaches to diagnosis. However, experts utilized hypothetic-deductive approaches significantly more often than novices. The hypothetic-deductive diagnostic strategy was utilized more than the scheme-inductive approach by both expert psychiatrists and clinical clerks. However, a specific relationship between diagnostic reasoning and diagnostic success could not be identified in this small pilot study. The author recommends a larger study that would include a detailed analysis of the think-aloud protocols.

The Selective Task Trainer: The Expert Solution.

ERIC Educational Resources Information Center

Gerson, Charles W.

1995-01-01

Examines simulator classification and design in light of new technology, current research, and a changing focus for using flight simulators in the military, and proposes a selective task trainer that addresses the expert's performance needs. Highlights include motor skill physiology; retention; automaticity skills; the novice to expert…

Adaptation of non-technical skills behavioural markers for delivery room simulation.

PubMed

Bracco, Fabrizio; Masini, Michele; De Tonetti, Gabriele; Brogioni, Francesca; Amidani, Arianna; Monichino, Sara; Maltoni, Alessandra; Dato, Andrea; Grattarola, Claudia; Cordone, Massimo; Torre, Giancarlo; Launo, Claudio; Chiorri, Carlo; Celleno, Danilo

2017-03-17

Simulation in healthcare has proved to be a useful method in improving skills and increasing the safety of clinical operations. The debriefing session, after the simulated scenario, is the core of the simulation, since it allows participants to integrate the experience with the theoretical frameworks and the procedural guidelines. There is consistent evidence for the relevance of non-technical skills (NTS) for the safe and efficient accomplishment of operations. However, the observation, assessment and feedback on these skills is particularly complex, because the process needs expert observers and the feedback is often provided in judgmental and ineffective ways. The aim of this study was therefore to develop and test a set of observation and rating forms for the NTS behavioural markers of multi-professional teams involved in delivery room emergency simulations (MINTS-DR, Multi-professional Inventory for Non-Technical Skills in the Delivery Room). The MINTS-DR was developed by adapting the existing tools and, when needed, by designing new tools according to the literature. We followed a bottom-up process accompanied by interviews and co-design between practitioners and psychology experts. The forms were specific for anaesthetists, gynaecologists, nurses/midwives, assistants, plus a global team assessment tool. We administered the tools in five editions of a simulation training course that involved 48 practitioners. Ratings on usability and usefulness were collected. The mean ratings of the usability and usefulness of the tools were not statistically different to or higher than 4 on a 5-point rating scale. In either case no significant differences were found across professional categories. The MINTS-DR is quick and easy to administer. It is judged to be a useful asset in maximising the learning experience that is provided by the simulation.

A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery.

PubMed

Stefan, Philipp; Habert, Séverine; Winkler, Alexander; Lazarovici, Marc; Fürmetz, Julian; Eck, Ulrich; Navab, Nassir

2018-06-25

The discrepancy of continuously decreasing opportunities for clinical training and assessment and the increasing complexity of interventions in surgery has led to the development of different training and assessment options like anatomical models, computer-based simulators or cadaver trainings. However, trainees, following training, assessment and ultimately performing patient treatment, still face a steep learning curve. To address this problem for C-arm-based surgery, we introduce a realistic radiation-free simulation system that combines patient-based 3D printed anatomy and simulated X-ray imaging using a physical C-arm. To explore the fidelity and usefulness of the proposed mixed-reality system for training and assessment, we conducted a user study with six surgical experts performing a facet joint injection on the simulator. In a technical evaluation, we show that our system simulates X-ray images accurately with an RMSE of 1.85 mm compared to real X-ray imaging. The participants expressed agreement with the overall realism of the simulation, the usefulness of the system for assessment and strong agreement with the usefulness of such a mixed-reality system for training of novices and experts. In a quantitative analysis, we furthermore evaluated the suitability of the system for the assessment of surgical skills and gather preliminary evidence for validity. The proposed mixed-reality simulation system facilitates a transition to C-arm-based surgery and has the potential to complement or even replace large parts of cadaver training, to provide a safe assessment environment and to reduce the risk for errors when proceeding to patient treatment. We propose an assessment concept and outline the steps necessary to expand the system into a test instrument that provides reliable and justified assessments scores indicative of surgical proficiency with sufficient evidence for validity.

A Qualitative Study of US Clinical Ethics Services: Objectives and Outcomes.

PubMed

McClimans, Leah; Pressgrove, Geah; Rhea, James

2016-01-01

The quality of clinical ethics services in health care organizations is increasingly seen as an important aspect of the overall quality of care. But measuring this quality is difficult because there is a lack of clarity and consensus regarding the objectives of clinical ethics and the best outcome domains to measure. The aim of this qualitative study is to explore the views of experts about the objectives and outcomes of clinical ethics services in the US. We interviewed 19 experts in clinical ethics, focusing on the appropriate objectives and outcomes of a clinical ethics service (CES). Participants were selected using a purposive snowball sampling strategy. The development of the interview protocol was informed by the clinical ethics literature as well as by research and theories that inform clinical ethics practice. Interviews were conducted by phone, recorded, and transcribed for individual analysis. Analysis proceeded through the development of a codebook of categories using QDA Miner software. Our experts identified 12 objectives and nine outcomes. Some of these identifications were familiar (e.g., mediation and satisfaction) and some were novel (e.g., be of service and transformation). We found that experts are divided in their emphasis on the kinds of objectives that are most important. In terms of outcomes, our experts were concerned with the appropriateness of different proxy and direct measures. This study provides the perspectives of a select group of experts on the objectives and outcomes appropriate for a CES in the United States. The themes identified will be used in future research to inform a Delphi study to refine and obtain expert consensus.

Leading Game-Simulation Development Teams: Enabling Collaboration with Faculty Experts

ERIC Educational Resources Information Center

Aleckson, Jon D.

2010-01-01

This study explored how educational technology development leaders can facilitate increased collaboration between the instructional design and development team and faculty member experts when developing games and simulations. A qualitative, case study method was used to analyze interviews and documents, and Web postings related specifically to…

Validity evidence and reliability of a simulated patient feedback instrument

PubMed Central

2012-01-01

Background In the training of healthcare professionals, one of the advantages of communication training with simulated patients (SPs) is the SP's ability to provide direct feedback to students after a simulated clinical encounter. The quality of SP feedback must be monitored, especially because it is well known that feedback can have a profound effect on student performance. Due to the current lack of valid and reliable instruments to assess the quality of SP feedback, our study examined the validity and reliability of one potential instrument, the 'modified Quality of Simulated Patient Feedback Form' (mQSF). Methods Content validity of the mQSF was assessed by inviting experts in the area of simulated clinical encounters to rate the importance of the mQSF items. Moreover, generalizability theory was used to examine the reliability of the mQSF. Our data came from videotapes of clinical encounters between six simulated patients and six students and the ensuing feedback from the SPs to the students. Ten faculty members judged the SP feedback according to the items on the mQSF. Three weeks later, this procedure was repeated with the same faculty members and recordings. Results All but two items of the mQSF received importance ratings of > 2.5 on a four-point rating scale. A generalizability coefficient of 0.77 was established with two judges observing one encounter. Conclusions The findings for content validity and reliability with two judges suggest that the mQSF is a valid and reliable instrument to assess the quality of feedback provided by simulated patients. PMID:22284898

When Affordances Climb into Your Mind: Advantages of Motor Simulation in a Memory Task Performed by Novice and Expert Rock Climbers

ERIC Educational Resources Information Center

Pezzulo, Giovanni; Barca, Laura; Bocconi, Alessandro Lamberti; Borghi, Anna M.

2010-01-01

Does the sight of multiple climbing holds laid along a path activate a motor simulation of climbing that path? One way of testing whether multiple affordances and their displacement influence the formation of a motor simulation is to study acquired motor skills. We used a behavioral task in which expert and novice rock climbers were shown three…

PSYCHE: An Object-Oriented Approach to Simulating Medical Education

PubMed Central

Mullen, Jamie A.

1990-01-01

Traditional approaches to computer-assisted instruction (CAI) do not provide realistic simulations of medical education, in part because they do not utilize heterogeneous knowledge bases for their source of domain knowledge. PSYCHE, a CAI program designed to teach hypothetico-deductive psychiatric decision-making to medical students, uses an object-oriented implementation of an intelligent tutoring system (ITS) to model the student, domain expert, and tutor. It models the transactions between the participants in complex transaction chains, and uses heterogeneous knowledge bases to represent both domain and procedural knowledge in clinical medicine. This object-oriented approach is a flexible and dynamic approach to modeling, and represents a potentially valuable tool for the investigation of medical education and decision-making.

When affordances climb into your mind: advantages of motor simulation in a memory task performed by novice and expert rock climbers.

PubMed

Pezzulo, Giovanni; Barca, Laura; Bocconi, Alessandro Lamberti; Borghi, Anna M

2010-06-01

Does the sight of multiple climbing holds laid along a path activate a motor simulation of climbing that path? One way of testing whether multiple affordances and their displacement influence the formation of a motor simulation is to study acquired motor skills. We used a behavioral task in which expert and novice rock climbers were shown three routes: an easy route, a route impossible to climb but perceptually salient, and a difficult route. After a distraction task, they were then given a recall test in which they had to write down the sequence of holds composing each route. We found no difference between experts and novices on the easy and impossible routes, whereas on the difficult route, the performance of experts was better than that of novices. This suggests that seeing a climbing wall activates a motor, embodied simulation, which relies not on perceptual salience, but on motor competence. More importantly, our results show that the capability to form this simulation is modulated by individuals' motor repertoire and expertise, and that this strongly impacts recall. Copyright 2010 Elsevier Inc. All rights reserved.

Hydraulic Characteristics Of Two Bicycle-Safe Grate Inlet Designs

DOT National Transportation Integrated Search

1988-12-01

Expert Systems are computer programs designed to include a simulation of the reasoning and decision-making processes of human experts. This report provides a set of general guidelines for the development and distribution of highway related expert sys...

Design and validation of realistic breast models for use in multiple alternative forced choice virtual clinical trials

NASA Astrophysics Data System (ADS)

Elangovan, Premkumar; Mackenzie, Alistair; Dance, David R.; Young, Kenneth C.; Cooke, Victoria; Wilkinson, Louise; Given-Wilson, Rosalind M.; Wallis, Matthew G.; Wells, Kevin

2017-04-01

A novel method has been developed for generating quasi-realistic voxel phantoms which simulate the compressed breast in mammography and digital breast tomosynthesis (DBT). The models are suitable for use in virtual clinical trials requiring realistic anatomy which use the multiple alternative forced choice (AFC) paradigm and patches from the complete breast image. The breast models are produced by extracting features of breast tissue components from DBT clinical images including skin, adipose and fibro-glandular tissue, blood vessels and Cooper’s ligaments. A range of different breast models can then be generated by combining these components. Visual realism was validated using a receiver operating characteristic (ROC) study of patches from simulated images calculated using the breast models and from real patient images. Quantitative analysis was undertaken using fractal dimension and power spectrum analysis. The average areas under the ROC curves for 2D and DBT images were 0.51  ±  0.06 and 0.54  ±  0.09 demonstrating that simulated and real images were statistically indistinguishable by expert breast readers (7 observers); errors represented as one standard error of the mean. The average fractal dimensions (2D, DBT) for real and simulated images were (2.72  ±  0.01, 2.75  ±  0.01) and (2.77  ±  0.03, 2.82  ±  0.04) respectively; errors represented as one standard error of the mean. Excellent agreement was found between power spectrum curves of real and simulated images, with average β values (2D, DBT) of (3.10  ±  0.17, 3.21  ±  0.11) and (3.01  ±  0.32, 3.19  ±  0.07) respectively; errors represented as one standard error of the mean. These results demonstrate that radiological images of these breast models realistically represent the complexity of real breast structures and can be used to simulate patches from mammograms and DBT images that are indistinguishable from patches from the corresponding real breast images. The method can generate about 500 radiological patches (~30 mm  ×  30 mm) per day for AFC experiments on a single workstation. This is the first study to quantitatively validate the realism of simulated radiological breast images using direct blinded comparison with real data via the ROC paradigm with expert breast readers.

Simulation-based Mastery Learning Improves Cardiac Auscultation Skills in Medical Students

PubMed Central

McGaghie, William C.; Cohen, Elaine R.; Kaye, Marsha; Wayne, Diane B.

2010-01-01

Background Cardiac auscultation is a core clinical skill. However, prior studies show that trainee skills are often deficient and that clinical experience is not a proxy for competence. Objective To describe a mastery model of cardiac auscultation education and evaluate its effectiveness in improving bedside cardiac auscultation skills. Design Untreated control group design with pretest and posttest. Participants Third-year students who received a cardiac auscultation curriculum and fourth year students who did not. Intervention A cardiac auscultation curriculum consisting of a computer tutorial and a cardiac patient simulator. All third-year students were required to meet or exceed a minimum passing score (MPS) set by an expert panel at posttest. Measurements Diagnostic accuracy with simulated heart sounds and actual patients. Results Trained third-year students (n = 77) demonstrated significantly higher cardiac auscultation accuracy compared to untrained fourth year students (n = 31) in assessment of simulated heart sounds (93.8% vs. 73.9%, p < 0.001) and with real patients (81.8% vs. 75.1%, p = 0.003). USMLE scores correlated modestly with a computer-based multiple choice assessment using simulated heart sounds but not with bedside skills on real patients. Conclusions A cardiac auscultation curriculum consisting of deliberate practice with a computer-based tutorial and a cardiac patient simulator resulted in improved assessment of simulated heart sounds and more accurate examination of actual patients. PMID:20339952

Undergraduate nursing students' performance in recognising and responding to sudden patient deterioration in high psychological fidelity simulated environments: an Australian multi-centre study.

PubMed

Bogossian, Fiona; Cooper, Simon; Cant, Robyn; Beauchamp, Alison; Porter, Joanne; Kain, Victoria; Bucknall, Tracey; Phillips, Nicole M

2014-05-01

Early recognition and situation awareness of sudden patient deterioration, a timely appropriate clinical response, and teamwork are critical to patient outcomes. High fidelity simulated environments provide the opportunity for undergraduate nursing students to develop and refine recognition and response skills. This paper reports the quantitative findings of the first phase of a larger program of ongoing research: Feedback Incorporating Review and Simulation Techniques to Act on Clinical Trends (FIRST2ACTTM). It specifically aims to identify the characteristics that may predict primary outcome measures of clinical performance, teamwork and situation awareness in the management of deteriorating patients. Mixed-method multi-centre study. High fidelity simulated acute clinical environment in three Australian universities. A convenience sample of 97 final year nursing students enrolled in an undergraduate Bachelor of Nursing or combined Bachelor of Nursing degree were included in the study. In groups of three, participants proceeded through three phases: (i) pre-briefing and completion of a multi-choice question test, (ii) three video-recorded simulated clinical scenarios where actors substituted real patients with deteriorating conditions, and (iii) post-scenario debriefing. Clinical performance, teamwork and situation awareness were evaluated, using a validated standard checklist (OSCE), Team Emergency Assessment Measure (TEAM) score sheet and Situation Awareness Global Assessment Technique (SAGAT). A Modified Angoff technique was used to establish cut points for clinical performance. Student teams engaged in 97 simulation experiences across the three scenarios and achieved a level of clinical performance consistent with the experts' identified pass level point in only 9 (1%) of the simulation experiences. Knowledge was significantly associated with overall teamwork (p=.034), overall situation awareness (p=.05) and clinical performance in two of the three scenarios (p=.032 cardiac and p=.006 shock). Situation awareness scores of scenario team leaders were low overall, with an average total score of 41%. Final year undergraduate nursing students may have difficulty recognising and responding appropriately to patient deterioration. Improving pre-requisite knowledge, rehearsal of first response and team management strategies need to be a key component of undergraduate nursing students' education and ought to specifically address clinical performance, teamwork and situation awareness. © 2013 Elsevier Ltd. All rights reserved.

Empathy training in medical students - a randomized controlled trial.

PubMed

Wündrich, M; Schwartz, C; Feige, B; Lemper, D; Nissen, C; Voderholzer, U

2017-10-01

Empathy is a core element in the doctor-patient relationship. This study examined whether empathy in medical students can be improved by specific training. 158 medical students were randomized into two groups. The intervention group participated in an empathy skills training with simulated patients (SPs). The control group participated in a history course. After the intervention, empathy was assessed by blinded SPs and experts in an Objective Structured Clinical Examination (OSCE). Students also filled out a self-assessment concerning their attitude on empathy (Jefferson Scale of Physician Empathy Student Version, JSPE-S-S). Participants of the intervention group showed significantly higher levels of empathy when rated by SPs and experts than the control group. In contrast to that, no significant group differences were observed in self-rated empathy. The results underpin the value of empathy skills trainings in medical school study programs.

A Multi-Institutional Simulation Boot Camp for Pediatric Cardiac Critical Care Nurse Practitioners.

PubMed

Brown, Kristen M; Mudd, Shawna S; Hunt, Elizabeth A; Perretta, Julianne S; Shilkofski, Nicole A; Diddle, J Wesley; Yurasek, Gregory; Bembea, Melania; Duval-Arnould, Jordan; Nelson McMillan, Kristen

2018-06-01

Assess the effect of a simulation "boot camp" on the ability of pediatric nurse practitioners to identify and treat a low cardiac output state in postoperative patients with congenital heart disease. Additionally, assess the pediatric nurse practitioners' confidence and satisfaction with simulation training. Prospective pre/post interventional pilot study. University simulation center. Thirty acute care pediatric nurse practitioners from 13 academic medical centers in North America. We conducted an expert opinion survey to guide curriculum development. The curriculum included didactic sessions, case studies, and high-fidelity simulation, based on high-complexity cases, congenital heart disease benchmark procedures, and a mix of lesion-specific postoperative complications. To cover multiple, high-complexity cases, we implemented Rapid Cycle Deliberate Practice method of teaching for selected simulation scenarios using an expert driven checklist. Knowledge was assessed with a pre-/posttest format (maximum score, 100%). A paired-sample t test showed a statistically significant increase in the posttest scores (mean [SD], pre test, 36.8% [14.3%] vs post test, 56.0% [15.8%]; p < 0.001). Time to recognize and treat an acute deterioration was evaluated through the use of selected high-fidelity simulation. Median time improved overall "time to task" across these scenarios. There was a significant increase in the proportion of clinically time-sensitive tasks completed within 5 minutes (pre, 60% [30/50] vs post, 86% [43/50]; p = 0.003] Confidence and satisfaction were evaluated with a validated tool ("Student Satisfaction and Self-Confidence in Learning"). Using a five-point Likert scale, the participants reported a high level of satisfaction (4.7 ± 0.30) and performance confidence (4.8 ± 0.31) with the simulation experience. Although simulation boot camps have been used effectively for training physicians and educating critical care providers, this was a novel approach to educating pediatric nurse practitioners from multiple academic centers. The course improved overall knowledge, and the pediatric nurse practitioners reported satisfaction and confidence in the simulation experience.

Cardiac risk stratification in renal transplantation using a form of artificial intelligence.

PubMed

Heston, T F; Norman, D J; Barry, J M; Bennett, W M; Wilson, R A

1997-02-15

The purpose of this study was to determine if an expert network, a form of artificial intelligence, could effectively stratify cardiac risk in candidates for renal transplant. Input into the expert network consisted of clinical risk factors and thallium-201 stress test data. Clinical risk factor screening alone identified 95 of 189 patients as high risk. These 95 patients underwent thallium-201 stress testing, and 53 had either reversible or fixed defects. The other 42 patients were classified as low risk. This algorithm made up the "expert system," and during the 4-year follow-up period had a sensitivity of 82%, specificity of 77%, and accuracy of 78%. An artificial neural network was added to the expert system, creating an expert network. Input into the neural network consisted of both clinical variables and thallium-201 stress test data. There were 5 hidden nodes and the output (end point) was cardiac death. The expert network increased the specificity of the expert system alone from 77% to 90% (p < 0.001), the accuracy from 78% to 89% (p < 0.005), and maintained the overall sensitivity at 88%. An expert network based on clinical risk factor screening and thallium-201 stress testing had an accuracy of 89% in predicting the 4-year cardiac mortality among 189 renal transplant candidates.

Hysteroscopic resection on virtual reality simulator: What do we measure?

PubMed

Panel, P; Neveu, M-E; Villain, C; Debras, F; Fernandez, H; Debras, E

2018-06-01

The objective was to compare results of two groups of population (novices and experts) on a virtual reality simulator of hysteroscopy resection for different metrics and for a multimetric score to assess its construct validity. Nineteen gynecologist who had at least 5 years of experience with hysteroscopy and self-evaluated their expertise at 4/5 or 5/5 were included as expert population. Twenty first-year gynecology residents in Paris were included as novice population. A standardized set of 4 hysteroscopy resection cases (polypectomy, myomectomy, roller ball endometrial ablation and septum resection) was performed on a virtual reality simulator (HystSim™) by the group of novices and experts. Results obtained on the simulator for overall score and for the parameters were compared by applying the Mann-Whitney test. Overall score of novices and experts were significantly different for three resection cases (polypectomy P<0.001, myomectomy P<0.001, roller ball endometrial ablation <0.001). The overall score was not different in the septum resection (P=0.456). For the four cases, the economy score (included cumulative path length, procedure time and camera alignment) were statistically different between novices and experts (polypectomy P<0.001, myomectomy P=0.001, roller ball endometrial ablation P<0.001, septum resection P<0.001). The overall score on HystSim™ was able to discriminate novices between experts on polypectomy, myomectomy and roller ball endometrial ablation cases but not on septum resection. The economy score was the more reliable to reflect the surgeon experience. It could be used to evaluate and to train students on hysteroscopic resection on a virtual reality simulator. Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Comparison of Decision Assist and Clinical Judgment of Experts for Prediction of Lifesaving Interventions

DTIC Science & Technology

2015-03-01

min of pulse oximeter photopletysmograph waveforms and extracted features to predict LSIs. We compared this with clinical judgment of LSIs by...Curve (AUROC). We obtained clinical judgment of need for LSI from 405 expert clinicians in135 trauma patients. The pulse oximeter algorithm...15 min of pulse oximeter waveforms predicts the need for LSIs during initial trauma resuscitation as accurately as judgment of expert trauma

Competence by Simulation: The Expert Nurse Continuing Education Experience Utilizing Simulation

ERIC Educational Resources Information Center

Underwood, Douglas W.

2013-01-01

Registered nurses practice in an environment that involves complex healthcare issues requiring continuous learning and evaluation of cognitive and technical skills to ensure safe and quality patient care. The purpose of this basic qualitative study was to gain a better understanding of the continuing educational needs of the expert nurse. This…

Helicopter simulator standards

NASA Technical Reports Server (NTRS)

Boothe, Edward M.

1992-01-01

The initial advisory circular was produced in 1984 (AC 120-XX). It was not finalized, however, because the FAR's for pilot certification did not recognize helicopter simulators and, therefore, permitted no credit for their use. That is being rectified, and, when the new rules are published, standards must be available for qualifying simulators. Because of the lack of a data base to support specification of these standards, the FAA must rely on the knowledge of experts in the simulator/training industry. A major aim of this workshop is to form a working group of these experts to produce a set of standards for helicopter training simulators.

Passive acquisition of CLIPS rules

NASA Technical Reports Server (NTRS)

Kovarik, Vincent J., Jr.

1991-01-01

The automated acquisition of knowledge by machine has not lived up to expectations, and knowledge engineering remains a human intensive task. Part of the reason for the lack of success is the difference in the cognitive focus of the expert. The expert must shift his or her focus from the subject domain to that of the representation environment. In doing so this cognitive shift introduces opportunity for errors and omissions. Presented here is work that observes the expert interact with a simulation of the domain. The system logs changes in the simulation objects and the expert's actions in response to those changes. This is followed by the application of inductive reasoning to move the domain specific rules observed to general domain rules.

[The importance of simulation in team training on obstetric emergencies: results of the first phase of the national plan for continuous medical training].

PubMed

Maio Matos, Francisco; Sousa Gomes, Andrea; Costa, Fernando Jorge; Santos Silva, Isabel; Carvalhas, Joana

2012-01-01

Obstetric emergencies are unexpected and random. The traditional model for medical training of these acute events has included lectures combined with sporadic clinical experiences, but this educational method has inherent limitations. Given the variety of manual skills that must be learned and high-risk environment, Obstetrics is uniquely suited for simulation. New technological educational tools provide an opportunity to learn and master technical skills needed in emergent situations as well as the opportunity to rehearse and learn from mistakes without risks to patients. The goals of this study are to assess which are the factors that trainees associate to human fallibility before and after clinical simulation based training; to compare the confidence level to solve emergent obstetric situations between interns and experts with up to 5 years of experience before and after training, and to determine the value that trainees give to simulation as a teaching tool on emergent events. 31 physicians participated at this course sessions. After the course, we verified changes in the factores that trainees associate to human fallibility, an increase in confidence level to solve emergent obstetric and an increase in the value that trainees give to simulation as a teaching tool.

da Vinci skills simulator for assessing learning curve and criterion-based training of robotic basic skills.

PubMed

Brinkman, Willem M; Luursema, Jan-Maarten; Kengen, Bas; Schout, Barbara M A; Witjes, J Alfred; Bekkers, Ruud L

2013-03-01

To answer 2 research questions: what are the learning curve patterns of novices on the da Vinci skills simulator parameters and what parameters are appropriate for criterion-based robotic training. A total of 17 novices completed 2 simulator sessions within 3 days. Each training session consisted of a warming-up exercise, followed by 5 repetitions of the "ring and rail II" task. Expert participants (n = 3) performed a warming-up exercise and 3 repetitions of the "ring and rail II" task on 1 day. We analyzed all 9 parameters of the simulator. Significant learning occurred on 5 parameters: overall score, time to complete, instrument collision, instruments out of view, and critical errors within 1-10 repetitions (P <.05). Economy of motion and excessive instrument force only showed improvement within the first 5 repetitions. No significant learning on the parameter drops and master workspace range was found. Using the expert overall performance score (n = 3) as a criterion (overall score 90%), 9 of 17 novice participants met the criterion within 10 repetitions. Most parameters showed that basic robotic skills are learned relatively quickly using the da Vinci skills simulator, but that 10 repetitions were not sufficient for most novices to reach an expert level. Some parameters seemed inappropriate for expert-based criterion training because either no learning occurred or the novice performance was equal to expert performance. Copyright © 2013 Elsevier Inc. All rights reserved.

Intelligently interactive combat simulation

NASA Astrophysics Data System (ADS)

Fogel, Lawrence J.; Porto, Vincent W.; Alexander, Steven M.

2001-09-01

To be fully effective, combat simulation must include an intelligently interactive enemy... one that can be calibrated. But human operated combat simulations are uncalibratable, for we learn during the engagement, there's no average enemy, and we cannot replicate their culture/personality. Rule-based combat simulations (expert systems) are not interactive. They do not take advantage of unexpected mistakes, learn, innovate, and reflect the changing mission/situation. And it is presumed that the enemy does not have a copy of the rules, that the available experts are good enough, that they know why they did what they did, that their combat experience provides a sufficient sample and that we know how to combine the rules offered by differing experts. Indeed, expert systems become increasingly complex, costly to develop, and brittle. They have face validity but may be misleading. In contrast, intelligently interactive combat simulation is purpose- driven. Each player is given a well-defined mission, reference to the available weapons/platforms, their dynamics, and the sensed environment. Optimal tactics are discovered online and in real-time by simulating phenotypic evolution in fast time. The initial behaviors are generated randomly or include hints. The process then learns without instruction. The Valuated State Space Approach provides a convenient way to represent any purpose/mission. Evolutionary programming searches the domain of possible tactics in a highly efficient manner. Coupled together, these provide a basis for cruise missile mission planning, and for driving tank warfare simulation. This approach is now being explored to benefit Air Force simulations by a shell that can enhance the original simulation.

Simulated procedure rehearsal is more effective than a preoperative generic warm-up for endovascular procedures.

PubMed

Willaert, Willem I M; Aggarwal, Rajesh; Daruwalla, Farhad; Van Herzeele, Isabelle; Darzi, Ara W; Vermassen, Frank E; Cheshire, Nicholas J

2012-06-01

Patient-specific simulated rehearsal (PsR) of a carotid artery stenting procedure (CAS) enables the interventionalist to rehearse the case before performing the procedure on the actual patient by incorporating patient-specific computed tomographic data into the simulation software. This study aimed to evaluate whether PsR of a CAS procedure can enhance the operative performance versus a virtual reality (VR) generic CAS warm-up procedure or no preparation at all. During a 10-session cognitive/technical VR course, medical residents were trained in CAS. Thereafter, in a randomized crossover study, each participant performed a patient-specific CAS case 3 times on the simulator, preceded by 3 different tasks: a PsR, a generic case, or no preparation. Technical performances were assessed using simulator-based metrics and expert-based ratings. Twenty medical residents (surgery, cardiology, radiology) were recruited. Training plateaus were observed after 10 sessions for all participants. Performances were significantly better after PsR than after a generic warm-up or no warm-up for total procedure time (16.3 ± 0.6 vs 19.7 ± 1.0 vs 20.9 ± 1.1 minutes, P = 0.001) and fluoroscopy time (9.3 ± 0.1 vs 11.2 ± 0.6 vs 11.2 ± 0.5 minutes, P = 0.022) but did not influence contrast volume or number of roadmaps used during the "real" case. PsR significantly improved the quality of performance as measured by the expert-based ratings (scores 28 vs 25 vs 25, P = 0.020). Patient-specific simulated rehearsal of a CAS procedure significantly improves operative performance, compared to a generic VR warm-up or no warm-up. This technology requires further investigation with respect to improved outcomes on patients in the clinical setting.

Cognitive task analysis for instruction in single-injection ultrasound guided-regional anesthesia

NASA Astrophysics Data System (ADS)

Gucev, Gligor V.

Cognitive task analysis (CTA) is methodology for eliciting knowledge from subject matter experts. CTA has been used to capture the cognitive processes, decision-making, and judgments that underlie expert behaviors. A review of the literature revealed that CTA has not yet been used to capture the knowledge required to perform ultrasound guided regional anesthesia (UGRA). The purpose of this study was to utilize CTA to extract knowledge from UGRA experts and to determine whether instruction based on CTA of UGRA will produce results superior to the results of traditional training. This study adds to the knowledge base of CTA in being the first one to effectively capture the expert knowledge of UGRA. The derived protocol was used in a randomized, double blinded experiment involving UGRA instruction to 39 novice learners. The results of this study strongly support the hypothesis that CTA-based instruction in UGRA is more effective than conventional clinical instruction, as measured by conceptual pre- and post-tests, performance of a simulated UGRA procedure, and time necessary for the task performance. This study adds to the number of studies that have proven the superiority of CTA-informed instruction. Finally, it produced several validated instruments that can be used in instructing and evaluating UGRA.

Estimating Classifier Accuracy Using Noisy Expert Labels

DTIC Science & Technology

estimators to real -world problems is limited. We applythe estimators to labels simulated from three models of the expert labeling process and also four real ...thatconditional dependence between experts negatively impacts estimator performance. On two of the real datasets, the estimatorsclearly outperformed the

Simulations for designing and interpreting intervention trials in infectious diseases.

PubMed

Halloran, M Elizabeth; Auranen, Kari; Baird, Sarah; Basta, Nicole E; Bellan, Steven E; Brookmeyer, Ron; Cooper, Ben S; DeGruttola, Victor; Hughes, James P; Lessler, Justin; Lofgren, Eric T; Longini, Ira M; Onnela, Jukka-Pekka; Özler, Berk; Seage, George R; Smith, Thomas A; Vespignani, Alessandro; Vynnycky, Emilia; Lipsitch, Marc

2017-12-29

Interventions in infectious diseases can have both direct effects on individuals who receive the intervention as well as indirect effects in the population. In addition, intervention combinations can have complex interactions at the population level, which are often difficult to adequately assess with standard study designs and analytical methods. Herein, we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly with regard to emerging infectious diseases, one that more accurately reflects the dynamics of the transmission process. In an increasingly complex world, simulations can explicitly represent transmission dynamics, which are critical for proper trial design and interpretation. Certain ethical aspects of a trial can also be quantified using simulations. Further, after a trial has been conducted, simulations can be used to explore the possible explanations for the observed effects. Much is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods, and the conduct of clinical trials.

Simulation Of Combat With An Expert System

NASA Technical Reports Server (NTRS)

Provenzano, J. P.

1989-01-01

Proposed expert system predicts outcomes of combat situations. Called "COBRA", combat outcome based on rules for attrition, system selects rules for mathematical modeling of losses and discrete events in combat according to previous experiences. Used with another software module known as the "Game". Game/COBRA software system, consisting of Game and COBRA modules, provides for both quantitative aspects and qualitative aspects in simulations of battles. COBRA intended for simulation of large-scale military exercises, concepts embodied in it have much broader applicability. In industrial research, knowledge-based system enables qualitative as well as quantitative simulations.

Systematic review on mentoring and simulation in laparoscopic colorectal surgery.

PubMed

Miskovic, Danilo; Wyles, Susannah M; Ni, Melody; Darzi, Ara W; Hanna, George B

2010-12-01

To identify and evaluate the influence of mentoring and simulated training in laparoscopic colorectal surgery (LCS) and define the key components for learning advanced technical skills. Laparoscopic colorectal surgery is a complex procedure, often being self-taught by senior surgeons. Educational issues such as inadequate training facilities or a shortfall of training fellowships may result in a slow uptake of LCS. The effectiveness of mentored and simulated training, however, remains unclear. We conducted a systematic search, using Ovid databases. Four study categories were identified: mentored versus nonmentored cases, training case selection, simulation, and assessment. We performed a meta-analysis and a mixed model regression on the difference of the main outcome measures (conversion rates, morbidity, and mortality) for mentored trainees and expert surgeons. We also compared conversion rates of mentored and nonmentored. Meta-analysis of risk factors for conversion was performed using published and unpublished data sets requested from various investigators. For studies on simulation, we compared scores of surveys on the perception of different training courses. Thirty-seven studies were included. Pooled weighted outcomes of mentored cases (n = 751) showed a lower conversion rate (13.3% vs 20.5%, P = 0.0332) compared with nonmentored cases (n = 695). Compared to expert case series (n = 5313), there was no difference in conversion (P = 0.2835), anastomotic leak (P = 0.8342), or mortality (P = 0.5680). A meta-analysis of training case selection data (n = 4444) revealed male sex (P < 0.0001), previous abdominal surgery (P = 0.0200), a BMI greater than 30 (P = 0.0050), an ASA of less than 2 (P < 0.0001), colorectal cancer (P < 0.0001) and intra-abdominal fistula (P < 0.0001), but not older than 64 years (P = 0.4800), to significantly increase conversion risk. Participants on cadaveric courses were highly satisfied with the teaching value yet trainees on an animal course gave less positive feedback. Structured assessment for LCS has been partially implemented. This review and meta-analysis supports evidence that trainees can obtain similar clinical results like expert surgeons in laparoscopic colorectal surgery if supervised by an experienced trainer. Cadaveric models currently provide the best value for training in a simulated environment. There remains a need for further research into technical skills assessment and the educational value of simulated training.

Increased Patient Enrollment to a Randomized Surgical Trial Through Equipoise Polling of an Expert Surgeon Panel.

PubMed

Ghogawala, Zoher; Schwartz, J Sanford; Benzel, Edward C; Magge, Subu N; Coumans, Jean Valery; Harrington, J Fred; Gelbs, Jared C; Whitmore, Robert G; Butler, William E; Barker, Fred G

2016-07-01

To determine whether patients who learned the views of an expert surgeons' panel's assessment of equipoise between 2 alternative operative treatments had increased likelihood of consenting to randomization. Difficulty obtaining patient consent to randomization is an important barrier to conducting surgical randomized clinical trials, the gold standard for generating clinical evidence. Observational study of the rate of patient acceptance of randomization within a 5-center randomized clinical trial comparing lumbar spinal decompression versus lumbar spinal decompression plus instrumented fusion for patients with symptomatic grade I degenerative lumbar spondylolisthesis with spinal stenosis. Eligible patients were enrolled in the trial and then asked to accept randomization. A panel of 10 expert spine surgeons was formed to review clinical information and images for individual patients to provide an assessment of suitability for randomization. The expert panel vote was disclosed to the patient by the patient's surgeon before the patient decided whether to accept randomization or not. Randomization acceptance among eligible patients without expert panel review was 40% (19/48) compared with 81% (47/58) among patients undergoing expert panel review (P < 0.001). Among expert-reviewed patients, randomization acceptance was 95% when all experts or all except 1 voted for randomization, 75% when 2 experts voted against randomization, and 20% with 3 or 4 votes against (P < 0.001 for trend). Patients provided with an expert panel's assessment of their own suitability for randomization were twice as likely to agree to randomization compared with patients receiving only their own surgeon's recommendation.

Validation of a virtual reality-based simulator for shoulder arthroscopy.

PubMed

Rahm, Stefan; Germann, Marco; Hingsammer, Andreas; Wieser, Karl; Gerber, Christian

2016-05-01

This study was to determine face and construct validity of a new virtual reality-based shoulder arthroscopy simulator which uses passive haptic feedback. Fifty-one participants including 25 novices (<20 shoulder arthroscopies) and 26 experts (>100 shoulder arthroscopies) completed two tests: for assessment of face validity, a questionnaire was filled out concerning quality of simulated reality and training potential using a 7-point Likert scale (range 1-7). Construct validity was tested by comparing simulator metrics (operation time in seconds, camera and grasper pathway in centimetre and grasper openings) between novices and experts test results. Overall simulated reality was rated high with a median value of 5.5 (range 2.8-7) points. Training capacity scored a median value of 5.8 (range 3-7) points. Experts were significantly faster in the diagnostic test with a median of 91 (range 37-208) s than novices with 1177 (range 81-383) s (p < 0.0001) and in the therapeutic test 102 (range 58-283) s versus 229 (range 114-399) s (p < 0.0001). Similar results were seen in the other metric values except in the camera pathway in the therapeutic test. The tested simulator achieved high scores in terms of realism and training capability. It reliably discriminated between novices and experts. Further improvements of the simulator, especially in the field of therapeutic arthroscopy, might improve its value as training and assessment tool for shoulder arthroscopy skills. II.

Expert Systems In Medical Studies - A New Twist

NASA Astrophysics Data System (ADS)

Slagle, James R.; Long, John M.; Wick, Michael R.; Matts, John P.; Leon, Arthur S.

1986-03-01

The use of experts to evaluate large amounts of trial data results in increasingly expensive and time consuming research. We are investigating the role expert systems can play in reducing the time and expense of research projects. Current methods in large clinical studies for evaluating data are often crude and superficial. We have developed, for a large clinical trial, an expert system for analysis of treadmill exercise ECG test results. In the cases we are studying, a patient is given a treadmill exercise ECG test once a year for five years. Pairs of these exercise tests are then evaluated by cardiologists to determine the condition of the patient's heart. The results of our system show great promise for the use of expert systems in reducing the time and expense of large clinical trials.

Proficiency performance benchmarks for removal of simulated brain tumors using a virtual reality simulator NeuroTouch.

PubMed

AlZhrani, Gmaan; Alotaibi, Fahad; Azarnoush, Hamed; Winkler-Schwartz, Alexander; Sabbagh, Abdulrahman; Bajunaid, Khalid; Lajoie, Susanne P; Del Maestro, Rolando F

2015-01-01

Assessment of neurosurgical technical skills involved in the resection of cerebral tumors in operative environments is complex. Educators emphasize the need to develop and use objective and meaningful assessment tools that are reliable and valid for assessing trainees' progress in acquiring surgical skills. The purpose of this study was to develop proficiency performance benchmarks for a newly proposed set of objective measures (metrics) of neurosurgical technical skills performance during simulated brain tumor resection using a new virtual reality simulator (NeuroTouch). Each participant performed the resection of 18 simulated brain tumors of different complexity using the NeuroTouch platform. Surgical performance was computed using Tier 1 and Tier 2 metrics derived from NeuroTouch simulator data consisting of (1) safety metrics, including (a) volume of surrounding simulated normal brain tissue removed, (b) sum of forces utilized, and (c) maximum force applied during tumor resection; (2) quality of operation metric, which involved the percentage of tumor removed; and (3) efficiency metrics, including (a) instrument total tip path lengths and (b) frequency of pedal activation. All studies were conducted in the Neurosurgical Simulation Research Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada. A total of 33 participants were recruited, including 17 experts (board-certified neurosurgeons) and 16 novices (7 senior and 9 junior neurosurgery residents). The results demonstrated that "expert" neurosurgeons resected less surrounding simulated normal brain tissue and less tumor tissue than residents. These data are consistent with the concept that "experts" focused more on safety of the surgical procedure compared with novices. By analyzing experts' neurosurgical technical skills performance on these different metrics, we were able to establish benchmarks for goal proficiency performance training of neurosurgery residents. This study furthers our understanding of expert neurosurgical performance during the resection of simulated virtual reality tumors and provides neurosurgical trainees with predefined proficiency performance benchmarks designed to maximize the learning of specific surgical technical skills. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

A new system for evaluation of armrest use in robotic surgery and validation of a new ergonomic concept - armrest load.

PubMed

Yang, K; Perez, M; Perrenot, C; Hubert, N; Felblinger, J; Hubert, J

2016-12-01

The da Vinci robot provides a sitting position and an armrest to decrease workload and increase dexterity. We investigated the surgeon's ergonomic behaviour by installing force sensors on the dV-Trainer® simulator's armrest to measure the 'armrest load' during the performance of simulated exercises. Five experts and 48 novices performed two robotic simulation exercises on the dV-Trainer. We calculated the armrest load and evaluated their armrest-using habits. Overall score and workspace range were evaluated automatically by the simulator and compared with armrest load. Statistically significant differences exist for overall score, workspace range and armrest load between novices and experts. The armrest load score is a direct, sensitive measure for the ergonomic evaluation of a simulator's armrest use. This experience-dependent ergonomic difference between experts and novices (p = 0.007) highlights the importance of ergonomic training for novice robot users. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Studying the effect of clinical uncertainty on physicians' decision-making using ILIAD.

PubMed

Anderson, J D; Jay, S J; Weng, H C; Anderson, M M

1995-01-01

The influence of uncertainty on physicians' practice behavior is not well understood. In this research, ILIAD, a diagnostic expert system, has been used to study physicians' responses to uncertainty and how their responses affected clinical performance. The simulation mode of ILIAD was used to standardize the presentation and scoring of two cases to 46 residents in emergency medicine, internal medicine, family practice and transitional medicine at Methodist Hospital of Indiana. A questionnaire was used to collect additional data on how physicians respond to clinical uncertainty. A structural equation model was developed, estimated, and tested. The results indicate that stress that physicians experience in dealing with clinical uncertainty has a negative effect on their clinical performance. Moreover, the way that physicians respond to uncertainty has positive and negative effects on their performance. Open discussions with patients about clinical decisions and the use of practice guidelines improves performance. However, when the physician's clinical decisions are influenced by patient demands or their peers, their performance scores decline.

Face and content validity of the virtual reality simulator 'ScanTrainer®'.

PubMed

Alsalamah, Amal; Campo, Rudi; Tanos, Vasilios; Grimbizis, Gregoris; Van Belle, Yves; Hood, Kerenza; Pugh, Neil; Amso, Nazar

2017-01-01

Ultrasonography is a first-line imaging in the investigation of women's irregular bleeding and other gynaecological pathologies, e.g. ovarian cysts and early pregnancy problems. However, teaching ultrasound, especially transvaginal scanning, remains a challenge for health professionals. New technology such as simulation may potentially facilitate and expedite the process of learning ultrasound. Simulation may prove to be realistic, very close to real patient scanning experience for the sonographer and objectively able to assist the development of basic skills such as image manipulation, hand-eye coordination and examination technique. The aim of this study was to determine the face and content validity of a virtual reality simulator (ScanTrainer®, MedaPhor plc, Cardiff, Wales, UK) as reflective of real transvaginal ultrasound (TVUS) scanning. A questionnaire with 14 simulator-related statements was distributed to a number of participants with differing levels of sonography experience in order to determine the level of agreement between the use of the simulator in training and real practice. There were 36 participants: novices ( n  = 25) and experts ( n  = 11) who rated the simulator. Median scores of face validity statements between experts and non-experts using a 10-point visual analogue scale (VAS) ratings ranged between 7.5 and 9.0 ( p  > 0.05) indicated a high level of agreement. Experts' median scores of content validity statements ranged from 8.4 to 9.0. The findings confirm that the simulator has the feel and look of real-time scanning with high face validity. Similarly, its tutorial structures and learning steps confirm the content validity.

Towards an operational definition of pharmacy clinical competency

NASA Astrophysics Data System (ADS)

Douglas, Charles Allen

The scope of pharmacy practice and the training of future pharmacists have undergone a strategic shift over the last few decades. The pharmacy profession recognizes greater pharmacist involvement in patient care activities. Towards this strategic objective, pharmacy schools are training future pharmacists to meet these new clinical demands. Pharmacy students have clerkships called Advanced Pharmacy Practice Experiences (APPEs), and these clerkships account for 30% of the professional curriculum. APPEs provide the only opportunity for students to refine clinical skills under the guidance of an experienced pharmacist. Nationwide, schools of pharmacy need to evaluate whether students have successfully completed APPEs and are ready treat patients. Schools are left to their own devices to develop assessment programs that demonstrate to the public and regulatory agencies, students are clinically competent prior to graduation. There is no widely accepted method to evaluate whether these assessment programs actually discriminate between the competent and non-competent students. The central purpose of this study is to demonstrate a rigorous method to evaluate the validity and reliability of APPE assessment programs. The method introduced in this study is applicable to a wide variety of assessment programs. To illustrate this method, the study evaluated new performance criteria with a novel rating scale. The study had two main phases. In the first phase, a Delphi panel was created to bring together expert opinions. Pharmacy schools nominated exceptional preceptors to join a Delphi panel. Delphi is a method to achieve agreement of complex issues among experts. The principal researcher recruited preceptors representing a variety of practice settings and geographical regions. The Delphi panel evaluated and refined the new performance criteria. In the second phase, the study produced a novel set of video vignettes that portrayed student performances based on recommendations of an expert panel. Pharmacy preceptors assessed the performances with the new performance criteria. Estimates of reliability and accuracy from preceptors' assessments can be used to establish benchmarks for future comparisons. Findings from the first phase suggested preceptors held a unique perspective, where APPE assessments are based in relevance to clinical activities. The second phase analyzed assessment results from pharmacy preceptors who watched the video simulations. Reliability results were higher for non-randomized compared to randomized video simulations. Accuracy results showed preceptors more readily identified high and low student performances compared to average students. These results indicated the need for pharmacy preceptor training in performance assessment. The study illustrated a rigorous method to evaluate the validity and reliability of APPE assessment instruments.

Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.

PubMed

MacRae, Jayden; Love, Tom; Baker, Michael G; Dowell, Anthony; Carnachan, Matthew; Stubbe, Maria; McBain, Lynn

2015-10-06

We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza pandemic in New Zealand. Rules were assessed using pattern matching heuristics on routine clinical narrative. The system was trained using data from 623 clinical encounters and validated using a clinical expert as a gold standard against a mutually exclusive set of 901 records. We calculated a 98.2 % specificity and 90.2 % sensitivity across an ILI incidence of 12.4 % measured against clinical expert classification. Peak problem list identification of ILI by clinical coding in any month was 9.2 % of all detected ILI presentations. Our system addressed an unusual problem domain for clinical narrative classification; using notational, unstructured, clinician entered information in a community care setting. It performed well compared with other approaches and domains. It has potential applications in real-time surveillance of disease, and in assisted problem list coding for clinicians. Our system identified ILI presentation with sufficient accuracy for use at a population level in the wider research study. The peak coding of 9.2 % illustrated the need for automated coding of unstructured narrative in our study.

Competency based training in robotic surgery: benchmark scores for virtual reality robotic simulation.

PubMed

Raison, Nicholas; Ahmed, Kamran; Fossati, Nicola; Buffi, Nicolò; Mottrie, Alexandre; Dasgupta, Prokar; Van Der Poel, Henk

2017-05-01

To develop benchmark scores of competency for use within a competency based virtual reality (VR) robotic training curriculum. This longitudinal, observational study analysed results from nine European Association of Urology hands-on-training courses in VR simulation. In all, 223 participants ranging from novice to expert robotic surgeons completed 1565 exercises. Competency was set at 75% of the mean expert score. Benchmark scores for all general performance metrics generated by the simulator were calculated. Assessment exercises were selected by expert consensus and through learning-curve analysis. Three basic skill and two advanced skill exercises were identified. Benchmark scores based on expert performance offered viable targets for novice and intermediate trainees in robotic surgery. Novice participants met the competency standards for most basic skill exercises; however, advanced exercises were significantly more challenging. Intermediate participants performed better across the seven metrics but still did not achieve the benchmark standard in the more difficult exercises. Benchmark scores derived from expert performances offer relevant and challenging scores for trainees to achieve during VR simulation training. Objective feedback allows both participants and trainers to monitor educational progress and ensures that training remains effective. Furthermore, the well-defined goals set through benchmarking offer clear targets for trainees and enable training to move to a more efficient competency based curriculum. © 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd.

Expert elicitation of population-level effects of disturbance

USGS Publications Warehouse

Fleishman, Erica; Burgman, Mark; Runge, Michael C.; Schick, Robert S; Krauss, Scott; Popper, Arthur N.; Hawkins, Anthony

2016-01-01

Expert elicitation is a rigorous method for synthesizing expert knowledge to inform decision making and is reliable and practical when field data are limited. We evaluated the feasibility of applying expert elicitation to estimate population-level effects of disturbance on marine mammals. Diverse experts estimated parameters related to mortality and sublethal injury of North Atlantic right whales (Eubalaena glacialis). We are now eliciting expert knowledge on the movement of right whales among geographic regions to parameterize a spatial model of health. Expert elicitation complements methods such as simulation models or extrapolations from other species, sometimes with greater accuracy and less uncertainty.

Impact of a simulation training curriculum on technical and nontechnical skills in colonoscopy: a randomized trial.

PubMed

Grover, Samir C; Garg, Ankit; Scaffidi, Michael A; Yu, Jeffrey J; Plener, Ian S; Yong, Elaine; Cino, Maria; Grantcharov, Teodor P; Walsh, Catharine M

2015-12-01

GI endoscopy simulation-based training augments early clinical performance; however, the optimal manner by which to deliver training is unknown. We aimed to validate a simulation-based structured comprehensive curriculum (SCC) designed to teach technical, cognitive, and integrative competencies in colonoscopy. Single-blinded, randomized, controlled trial. Endoscopic simulation course at an academic hospital. Thirty-three novice endoscopists were allocated to an SCC group or self-regulated learning (SRL) group. The SCC group received a curriculum consisting of 6 hours of didactic lectures and 8 hours of virtual reality simulation-based training with expert feedback. The SRL group was provided a list of desired objectives and was instructed to practice on the simulator for an equivalent time (8 hours). Clinical transfer was assessed during 2 patient colonoscopies using the Joint Advisory Group Direct Observation of Procedural Skills (JAG DOPS) scale. Secondary outcome measures included differences in procedural knowledge, immediate post-training simulation performance, and delayed post-training (4-6 weeks) performance during an integrated scenario test on the JAG DOPS communication and integrated scenario global rating scales. There was no significant difference in baseline or post-training performance on the simulator task. The SCC group performed superiorly during their first and second clinical colonoscopies. Additionally, the SCC group demonstrated significantly better knowledge and colonoscopy-specific performance, communication, and global performance during the integrated scenario. We were unable to measure SRL participants' effort outside of mandatory training. In addition, feedback metrics and number of available simulation cases are limited. These results support integration of endoscopy simulation into a structured curriculum incorporating instructional feedback and complementary didactic knowledge as a means to augment technical, cognitive, and integrative skills acquisition, as compared with SRL on virtual reality simulators. ( NCT01991522.) Copyright © 2015 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Pursuing Improvement in Clinical Reasoning: Development of the Clinical Coaching Interactions Inventory.

PubMed

Jessee, Mary Ann; Tanner, Christine A

2016-09-01

Clinical coaching has been identified as a signature pedagogy in nursing education. Recent findings indicate that clinical coaching interactions in the clinical learning environment fail to engage students in the higher order thinking skills believed to promote clinical reasoning. The Clinical Coaching Interactions Inventory (CCII) was based on evidence of supervisor questioning techniques, the Tanner clinical judgment model, Bloom's Taxonomy, and simulation evaluation tools. Content validity was established with expert assessment, student testing for clarity, and calculation of scale-content validity index/average (S-CVI/Ave). Reliability was established with Kuder-Richardson Formula 20 (KR-20). CVI (S-CVI/Ave) was .91, and KR-20 was .70. The CCII identified differences in clinical coaching behaviors in university faculty supervisors and staff nurse preceptor supervisors. The CCII advances the measurement of clinical coaching interactions from qualitative to quantitative. Ultimately, results from use of this inventory may facilitate the design of prelicensure clinical coaching strategies that promote the improvement of students' clinical reasoning skill. [J Nurs Educ. 2016;55(9):495-504.]. Copyright 2016, SLACK Incorporated.

The STAR Data Reporting Guidelines for Clinical High Altitude Research.

PubMed

Brodmann Maeder, Monika; Brugger, Hermann; Pun, Matiram; Strapazzon, Giacomo; Dal Cappello, Tomas; Maggiorini, Marco; Hackett, Peter; Bärtsch, Peter; Swenson, Erik R; Zafren, Ken

2018-03-01

Brodmann Maeder, Monika, Hermann Brugger, Matiram Pun, Giacomo Strapazzon, Tomas Dal Cappello, Marco Maggiorini, Peter Hackett, Peter Baärtsch, Erik R. Swenson, Ken Zafren (STAR Core Group), and the STAR Delphi Expert Group. The STARdata reporting guidelines for clinical high altitude research. High AltMedBiol. 19:7-14, 2018. The goal of the STAR (STrengthening Altitude Research) initiative was to produce a uniform set of key elements for research and reporting in clinical high-altitude (HA) medicine. The STAR initiative was inspired by research on treatment of cardiac arrest, in which the establishment of the Utstein Style, a uniform data reporting protocol, substantially contributed to improving data reporting and subsequently the quality of scientific evidence. The STAR core group used the Delphi method, in which a group of experts reaches a consensus over multiple rounds using a formal method. We selected experts in the field of clinical HA medicine based on their scientific credentials and identified an initial set of parameters for evaluation by the experts. Of 51 experts in HA research who were identified initially, 21 experts completed both rounds. The experts identified 42 key parameters in 5 categories (setting, individual factors, acute mountain sickness and HA cerebral edema, HA pulmonary edema, and treatment) that were considered essential for research and reporting in clinical HA research. An additional 47 supplemental parameters were identified that should be reported depending on the nature of the research. The STAR initiative, using the Delphi method, identified a set of key parameters essential for research and reporting in clinical HA medicine.

International Pediatric MS Study Group Clinical Trials Summit: meeting report.

PubMed

Chitnis, Tanuja; Tardieu, Marc; Amato, Maria Pia; Banwell, Brenda; Bar-Or, Amit; Ghezzi, Angelo; Kornberg, Andrew; Krupp, Lauren B; Pohl, Daniela; Rostasy, Kevin; Tenembaum, Silvia; Waubant, Emmanuelle; Wassmer, Evangeline

2013-03-19

Pediatric studies for new biological agents are mandated by recent legislation, necessitating careful thought to evaluation of emerging multiple sclerosis (MS) therapies in children with MS. Challenges include a small patient population, the lack of prior randomized clinical trials, and ethical concerns. The goal of this meeting was to assess areas of consensus regarding clinical trial design and outcome measures among academic experts involved in pediatric MS care and research. The Steering Committee of the International Pediatric MS Study Group identified key focus areas for discussion. A total of 69 meeting attendees were assembled, including 35 academic experts. Regulatory and pharmaceutical representatives also attended, and provided input, which informed academic expert consensus decisions. The academic experts agreed that clinical trials were necessary in pediatric MS to obtain pharmacokinetic, safety and efficacy data, and regulatory approval allowing for greater medication access. The academic experts agreed that relapse was an appropriate primary outcome measure for phase III pediatric trials. An international standardized cognitive battery was identified. The pros and cons of various trial designs were discussed. Guidelines surrounding MRI studies, pharmacokinetics, pharmacodynamics, and registries were developed. The academic experts agreed that given the limited subject pool, a stepwise approach to the launch of clinical trials for the most promising medications is necessary in order to ensure study completion. Alternative approaches could result in unethical exposure of patients to trial conditions without gaining knowledge. Consensus points for conduct of clinical trials in the rare disease pediatric MS were identified amongst a panel of academic experts, informed by regulatory and industry stakeholders.

Expert systems for automated maintenance of a Mars oxygen production system

NASA Astrophysics Data System (ADS)

Huang, Jen-Kuang; Ho, Ming-Tsang; Ash, Robert L.

1992-08-01

Application of expert system concepts to a breadboard Mars oxygen processor unit have been studied and tested. The research was directed toward developing the methodology required to enable autonomous operation and control of these simple chemical processors at Mars. Failure detection and isolation was the key area of concern, and schemes using forward chaining, backward chaining, knowledge-based expert systems, and rule-based expert systems were examined. Tests and simulations were conducted that investigated self-health checkout, emergency shutdown, and fault detection, in addition to normal control activities. A dynamic system model was developed using the Bond-Graph technique. The dynamic model agreed well with tests involving sudden reductions in throughput. However, nonlinear effects were observed during tests that incorporated step function increases in flow variables. Computer simulations and experiments have demonstrated the feasibility of expert systems utilizing rule-based diagnosis and decision-making algorithms.

Expert systems applied to spacecraft fire safety

NASA Technical Reports Server (NTRS)

Smith, Richard L.; Kashiwagi, Takashi

1989-01-01

Expert systems are problem-solving programs that combine a knowledge base and a reasoning mechanism to simulate a human expert. The development of an expert system to manage fire safety in spacecraft, in particular the NASA Space Station Freedom, is difficult but clearly advantageous in the long-term. Some needs in low-gravity flammability characteristics, ventilating-flow effects, fire detection, fire extinguishment, and decision models, all necessary to establish the knowledge base for an expert system, are discussed.

The Evaluation of a Temporal Reasoning System in Processing Clinical Discharge Summaries

PubMed Central

Zhou, Li; Parsons, Simon; Hripcsak, George

2008-01-01

Context TimeText is a temporal reasoning system designed to represent, extract, and reason about temporal information in clinical text. Objective To measure the accuracy of the TimeText for processing clinical discharge summaries. Design Six physicians with biomedical informatics training served as domain experts. Twenty discharge summaries were randomly selected for the evaluation. For each of the first 14 reports, 5 to 8 clinically important medical events were chosen. The temporal reasoning system generated temporal relations about the endpoints (start or finish) of pairs of medical events. Two experts (subjects) manually generated temporal relations for these medical events. The system and expert-generated results were assessed by four other experts (raters). All of the twenty discharge summaries were used to assess the system’s accuracy in answering time-oriented clinical questions. For each report, five to ten clinically plausible temporal questions about events were generated. Two experts generated answers to the questions to serve as the gold standard. We wrote queries to retrieve answers from system’s output. Measurements Correctness of generated temporal relations, recall of clinically important relations, and accuracy in answering temporal questions. Results The raters determined that 97% of subjects’ 295 generated temporal relations were correct and that 96.5% of the system’s 995 generated temporal relations were correct. The system captured 79% of 307 temporal relations determined to be clinically important by the subjects and raters. The system answered 84% of the temporal questions correctly. Conclusion The system encoded the majority of information identified by experts, and was able to answer simple temporal questions. PMID:17947618

Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study

PubMed Central

Deeley, M A; Chen, A; Datteri, R; Noble, J; Cmelak, A; Donnelly, E; Malcolm, A; Moretti, L; Jaboin, J; Niermann, K; Yang, Eddy S; Yu, David S; Yei, F; Koyama, T; Ding, G X; Dawant, B M

2011-01-01

The purpose of this work was to characterize expert variation in segmentation of intracranial structures pertinent to radiation therapy, and to assess a registration-driven atlas-based segmentation algorithm in that context. Eight experts were recruited to segment the brainstem, optic chiasm, optic nerves, and eyes, of 20 patients who underwent therapy for large space-occupying tumors. Performance variability was assessed through three geometric measures: volume, Dice similarity coefficient, and Euclidean distance. In addition, two simulated ground truth segmentations were calculated via the simultaneous truth and performance level estimation (STAPLE) algorithm and a novel application of probability maps. The experts and automatic system were found to generate structures of similar volume, though the experts exhibited higher variation with respect to tubular structures. No difference was found between the mean Dice coefficient (DSC) of the automatic and expert delineations as a group at a 5% significance level over all cases and organs. The larger structures of the brainstem and eyes exhibited mean DSC of approximately 0.8–0.9, whereas the tubular chiasm and nerves were lower, approximately 0.4–0.5. Similarly low DSC have been reported previously without the context of several experts and patient volumes. This study, however, provides evidence that experts are similarly challenged. The average maximum distances (maximum inside, maximum outside) from a simulated ground truth ranged from (−4.3, +5.4) mm for the automatic system to (−3.9, +7.5) mm for the experts considered as a group. Over all the structures in a rank of true positive rates at a 2 mm threshold from the simulated ground truth, the automatic system ranked second of the nine raters. This work underscores the need for large scale studies utilizing statistically robust numbers of patients and experts in evaluating quality of automatic algorithms. PMID:21725140

Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study

NASA Astrophysics Data System (ADS)

Deeley, M. A.; Chen, A.; Datteri, R.; Noble, J. H.; Cmelak, A. J.; Donnelly, E. F.; Malcolm, A. W.; Moretti, L.; Jaboin, J.; Niermann, K.; Yang, Eddy S.; Yu, David S.; Yei, F.; Koyama, T.; Ding, G. X.; Dawant, B. M.

2011-07-01

The purpose of this work was to characterize expert variation in segmentation of intracranial structures pertinent to radiation therapy, and to assess a registration-driven atlas-based segmentation algorithm in that context. Eight experts were recruited to segment the brainstem, optic chiasm, optic nerves, and eyes, of 20 patients who underwent therapy for large space-occupying tumors. Performance variability was assessed through three geometric measures: volume, Dice similarity coefficient, and Euclidean distance. In addition, two simulated ground truth segmentations were calculated via the simultaneous truth and performance level estimation algorithm and a novel application of probability maps. The experts and automatic system were found to generate structures of similar volume, though the experts exhibited higher variation with respect to tubular structures. No difference was found between the mean Dice similarity coefficient (DSC) of the automatic and expert delineations as a group at a 5% significance level over all cases and organs. The larger structures of the brainstem and eyes exhibited mean DSC of approximately 0.8-0.9, whereas the tubular chiasm and nerves were lower, approximately 0.4-0.5. Similarly low DSCs have been reported previously without the context of several experts and patient volumes. This study, however, provides evidence that experts are similarly challenged. The average maximum distances (maximum inside, maximum outside) from a simulated ground truth ranged from (-4.3, +5.4) mm for the automatic system to (-3.9, +7.5) mm for the experts considered as a group. Over all the structures in a rank of true positive rates at a 2 mm threshold from the simulated ground truth, the automatic system ranked second of the nine raters. This work underscores the need for large scale studies utilizing statistically robust numbers of patients and experts in evaluating quality of automatic algorithms.

Development and training of a learning expert system in an autonomous mobile robot via simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Spelt, P.F.; Lyness, E.; DeSaussure, G.

1989-11-01

The Center for Engineering Systems Advanced Research (CESAR) conducts basic research in the area of intelligent machines. Recently at CESAR a learning expert system was created to operate on board an autonomous robot working at a process control panel. The authors discuss two-computer simulation system used to create, evaluate and train this learning system. The simulation system has a graphics display of the current status of the process being simulated, and the same program which does the simulating also drives the actual control panel. Simulation results were validated on the actual robot. The speed and safety values of using amore » computerized simulator to train a learning computer, and future uses of the simulation system, are discussed.« less

Supporting international medical graduates in rural Australia: a mixed methods evaluation.

PubMed

Wright, Alistair; Regan, Melanie; Haigh, Cathy; Sunderji, Irum; Vijayakumar, Priyanga; Smith, Cathy; Nestel, Debra

2012-01-01

In Australia, international medical graduates (IMGs) make a substantial contribution to rural medical workforces. They often face significant communication, language, professional and cultural barriers, in addition to the other challenges of rural clinical practice. The Gippsland Inspiring Professional Standards among International Experts (GIPSIE) program was designed to provide educational support to IMGs across a large geographical region using innovative educational methods to ultimately build capacity in the provision of rural medical education. GIPSIE offered 5 sessions over 3 months. Simulation-based training was a prominent theme and addressed clinical knowledge, attitudes and skills and included a range of activities (eg procedural skills training with benchtop models, management of the acutely ill patient with SimMan, patient assessment skills with simulated patients). Diverse clinical communication skills were explored (eg teamwork, handover, telephone, critical information). Audiovisual review of performance was enabled through the use of iPod nano devices. GIPSIE was underpinned by a website offering diverse learning resources. Content experts were invited to lead sessions that integrated knowledge and skills reflecting local practice. IMGs were recruited from hospitals (n = 15) and general practices (n = 2) across the region. It was aimed to evaluate the impact of GIPSIE on the clinical practice of IMG participants. Evaluation measures included pre- and post-program 15 item multisource feedback (MSF), post-program questionnaires and, in order to address retention, telephone interviews exploring participants' responses 3 months after the program finished. Fifteen participants completed GIPSIE and rated the program highly, especially the simulation-based activities with feedback and later audiovisual review on iPods and the GIPSIE website. Suggestions were made to improve several aspects of the program. Participants reported increased knowledge, skills and professionalism after the program. Although overall MSF scores showed no statistically significant changes, there were positive directional changes for the items 'technical skills appropriate to current practice', 'willingness and effectiveness when teaching/training colleagues' and 'communication with carers and family'. These developments were also supported in free-text comments. Learning was reported to be sustained 3 months after the program. GIPSIE was highly valued by participants who reported improvements in clinical knowledge and skills. A range of professional issues were raised and addressed. GIPSIE seemed to provide a platform for further development. Although new to many participants, simulation was embraced as an educational method. The relationship between regional clinicians and the medical school was pivotal to success. A feature of the study was tracking improvements in clinical practice as a consequence of participating in the GIPSIE program. Future work needs to focus on further promoting the transfer of learning to the workplace. However the sustainability of these programs requires significant commitment.

Does expert knowledge improve automatic probabilistic classification of gait joint motion patterns in children with cerebral palsy?

PubMed Central

Papageorgiou, Eirini; Nieuwenhuys, Angela; Desloovere, Kaat

2017-01-01

Background This study aimed to improve the automatic probabilistic classification of joint motion gait patterns in children with cerebral palsy by using the expert knowledge available via a recently developed Delphi-consensus study. To this end, this study applied both Naïve Bayes and Logistic Regression classification with varying degrees of usage of the expert knowledge (expert-defined and discretized features). A database of 356 patients and 1719 gait trials was used to validate the classification performance of eleven joint motions. Hypotheses Two main hypotheses stated that: (1) Joint motion patterns in children with CP, obtained through a Delphi-consensus study, can be automatically classified following a probabilistic approach, with an accuracy similar to clinical expert classification, and (2) The inclusion of clinical expert knowledge in the selection of relevant gait features and the discretization of continuous features increases the performance of automatic probabilistic joint motion classification. Findings This study provided objective evidence supporting the first hypothesis. Automatic probabilistic gait classification using the expert knowledge available from the Delphi-consensus study resulted in accuracy (91%) similar to that obtained with two expert raters (90%), and higher accuracy than that obtained with non-expert raters (78%). Regarding the second hypothesis, this study demonstrated that the use of more advanced machine learning techniques such as automatic feature selection and discretization instead of expert-defined and discretized features can result in slightly higher joint motion classification performance. However, the increase in performance is limited and does not outweigh the additional computational cost and the higher risk of loss of clinical interpretability, which threatens the clinical acceptance and applicability. PMID:28570616

The effects of rational and experiential information processing of expert testimony in death penalty cases.

PubMed

Krauss, Daniel A; Lieberman, Joel D; Olson, Jodi

2004-01-01

Past research examining the effects of actuarial and clinical expert testimony on defendants' dangerousness in Texas death penalty sentencing has found that jurors are more influenced by less scientific pure clinical expert testimony and less influenced by more scientific actuarial expert testimony (Krauss & Lee, 2003; Krauss & Sales, 2001). By applying cognitive-experiential self-theory (CEST) to juror decision-making, the present study was undertaken in an attempt to offer a theoretical rationale for these findings. Based on past CEST research, 163 mock jurors were either directed into a rational mode or experiential mode of processing. Consistent with CEST and inconsistent with previous research using the same stimulus materials, results demonstrate that jurors in a rational mode of processing more heavily weighted actuarial expert testimony in their dangerousness assessments, while those jurors in the experiential condition were more influenced by clinical expert testimony. The policy implications of these findings are discussed. Copyright 2004 John Wiley & Sons, Ltd.

Expert system prototype developments for NASA-KSC business and engineering applications

NASA Technical Reports Server (NTRS)

Ragusa, James M.; Gonzalez, Avelino J.

1988-01-01

Prototype expert systems developed for a variety of NASA projects in the business/management and engineering domains are discussed. Business-related problems addressed include an assistant for simulating launch vehicle processing, a plan advisor for the acquisition of automated data processing equipment, and an expert system for the identification of customer requirements. Engineering problems treated include an expert system for detecting potential ignition sources in LOX and gaseous-oxygen transportation systems and an expert system for hazardous-gas detection.

Validation of computer simulation training for esophagogastroduodenoscopy: Pilot study.

PubMed

Sedlack, Robert E

2007-08-01

Little is known regarding the value of esophagogastroduodenoscopy (EGD) simulators in education. The purpose of the present paper was to validate the use of computer simulation in novice EGD training. In phase 1, expert endoscopists evaluated various aspects of simulation fidelity as compared to live endoscopy. Additionally, computer-recorded performance metrics were assessed by comparing the recorded scores from users of three different experience levels. In phase 2, the transfer of simulation-acquired skills to the clinical setting was assessed in a two-group, randomized pilot study. The setting was a large gastroenterology (GI) Fellowship training program; in phase 1, 21 subjects (seven expert, intermediate and novice endoscopist), made up the three experience groups. In phase 2, eight novice GI fellows were involved in the two-group, randomized portion of the study examining the transfer of simulation skills to the clinical setting. During the initial validation phase, each of the 21 subjects completed two standardized EDG scenarios on a computer simulator and their performance scores were recorded for seven parameters. Following this, staff participants completed a questionnaire evaluating various aspects of the simulator's fidelity. Finally, four novice GI fellows were randomly assigned to receive 6 h of simulator-augmented training (SAT group) in EGD prior to beginning 1 month of patient-based EGD training. The remaining fellows experienced 1 month of patient-based training alone (PBT group). Results of the seven measured performance parameters were compared between three groups of varying experience using a Wilcoxon ranked sum test. The staffs' simulator fidelity survey used a 7-point Likert scale (1, very unrealistic; 4, neutral; 7, very realistic) for each of the parameters examined. During the second phase of this study, supervising staff rated both SAT and PBT fellows' patient-based performance daily. Scoring in each skill was completed using a 7-point Likert scale (1, strongly disagree; 4, neutral; 7, strongly agree). Median scores were compared between groups using the Wilcoxon ranked sum test. Staff evaluations of fidelity found that only two of the parameters examined (anatomy and scope maneuverability) had a significant degree of realism. The remaining areas were felt to be limited in their fidelity. Of the computer-recorded performance scores, only the novice group could be reliably identified from the other two experience groups. In the clinical application phase, the median Patient Discomfort ratings were superior in the PBT group (6; interquartile range [IQR], 5-6) as compared to the SAT group (5; IQR, 4-6; P = 0.015). PBT fellows' ratings were also superior in Sedation, Patient Discomfort, Independence and Competence during various phases of the evaluation. At no point were SAT fellows rated higher than the PBT group in any of the parameters examined. This EGD simulator has limitations to the degree of fidelity and can differentiate only novice endoscopists from other levels of experience. Finally, skills learned during EGD simulation training do not appear to translate well into patient-based endoscopy skills. These findings suggest against a key element of validity for the use of this computer simulator in novice EGD training.

Identifying psychophysiological indices of expert vs. novice performance in deadly force judgment and decision making

PubMed Central

Johnson, Robin R.; Stone, Bradly T.; Miranda, Carrie M.; Vila, Bryan; James, Lois; James, Stephen M.; Rubio, Roberto F.; Berka, Chris

2014-01-01

Objective: To demonstrate that psychophysiology may have applications for objective assessment of expertise development in deadly force judgment and decision making (DFJDM). Background: Modern training techniques focus on improving decision-making skills with participative assessment between trainees and subject matter experts primarily through subjective observation. Objective metrics need to be developed. The current proof of concept study explored the potential for psychophysiological metrics in deadly force judgment contexts. Method: Twenty-four participants (novice, expert) were recruited. All wore a wireless Electroencephalography (EEG) device to collect psychophysiological data during high-fidelity simulated deadly force judgment and decision-making simulations using a modified Glock firearm. Participants were exposed to 27 video scenarios, one-third of which would have justified use of deadly force. Pass/fail was determined by whether the participant used deadly force appropriately. Results: Experts had a significantly higher pass rate compared to novices (p < 0.05). Multiple metrics were shown to distinguish novices from experts. Hierarchical regression analyses indicate that psychophysiological variables are able to explain 72% of the variability in expert performance, but only 37% in novices. Discriminant function analysis (DFA) using psychophysiological metrics was able to discern between experts and novices with 72.6% accuracy. Conclusion: While limited due to small sample size, the results suggest that psychophysiology may be developed for use as an objective measure of expertise in DFDJM. Specifically, discriminant function measures may have the potential to objectively identify expert skill acquisition. Application: Psychophysiological metrics may create a performance model with the potential to optimize simulator-based DFJDM training. These performance models could be used for trainee feedback, and/or by the instructor to assess performance objectively. PMID:25100966

Diagnostic discrepancies in retinopathy of prematurity classification

PubMed Central

Campbell, J. Peter; Ryan, Michael C.; Lore, Emily; Tian, Peng; Ostmo, Susan; Jonas, Karyn; Chan, R.V. Paul; Chiang, Michael F.

2016-01-01

Objective To identify the most common areas for discrepancy in retinopathy of prematurity (ROP) classification between experts. Design Prospective cohort study. Subjects, Participants, and/or Controls 281 infants were identified as part of a multi-center, prospective, ROP cohort study from 7 participating centers. Each site had participating ophthalmologists who provided the clinical classification after routine examination using binocular indirect ophthalmoscopy (BIO), and obtained wide-angle retinal images, which were independently classified by two study experts. Methods Wide-angle retinal images (RetCam; Clarity Medical Systems, Pleasanton, CA) were obtained from study subjects, and two experts evaluated each image using a secure web-based module. Image-based classifications for zone, stage, plus disease, overall disease category (no ROP, mild ROP, Type II or pre-plus, and Type I) were compared between the two experts, and to the clinical classification obtained by BIO. Main Outcome Measures Inter-expert image-based agreement and image-based vs. ophthalmoscopic diagnostic agreement using absolute agreement and weighted kappa statistic. Results 1553 study eye examinations from 281 infants were included in the study. Experts disagreed on the stage classification in 620/1553 (40%) of comparisons, plus disease classification (including pre-plus) in 287/1553 (18%), zone in 117/1553 (8%), and overall ROP category in 618/1553 (40%). However, agreement for presence vs. absence of type 1 disease was >95%. There were no differences between image-based and clinical classification except for zone III disease. Conclusions The most common area of discrepancy in ROP classification is stage, although inter-expert agreement for clinically-significant disease such as presence vs. absence of type 1 and type 2 disease is high. There were no differences between image-based grading and the clinical exam in the ability to detect clinically-significant disease. This study provides additional evidence that image-based classification of ROP reliably detects clinically significant levels of ROP with high accuracy compared to the clinical exam. PMID:27238376

The Impact of Selected Contextual Factors on Experts' Clinical Reasoning Performance (Does Context Impact Clinical Reasoning Performance in Experts?)

ERIC Educational Resources Information Center

Durning, Steven J.; Artino, Anthony R.; Boulet, John R.; Dorrance, Kevin; van der Vleuten, Cees; Schuwirth, Lambert

2012-01-01

Context specificity, or the variation in a participant's performance from one case, or situation, to the next, is a recognized problem in medical education. However, studies have not explored the potential reasons for context specificity in experts using the lens of situated cognition and cognitive load theories (CLT). Using these theories, we…

The LEAP™ Gesture Interface Device and Take-Home Laparoscopic Simulators: A Study of Construct and Concurrent Validity.

PubMed

Partridge, Roland W; Brown, Fraser S; Brennan, Paul M; Hennessey, Iain A M; Hughes, Mark A

2016-02-01

To assess the potential of the LEAP™ infrared motion tracking device to map laparoscopic instrument movement in a simulated environment. Simulator training is optimized when augmented by objective performance feedback. We explore the potential LEAP has to provide this in a way compatible with affordable take-home simulators. LEAP and the previously validated InsTrac visual tracking tool mapped expert and novice performances of a standardized simulated laparoscopic task. Ability to distinguish between the 2 groups (construct validity) and correlation between techniques (concurrent validity) were the primary outcome measures. Forty-three expert and 38 novice performances demonstrated significant differences in LEAP-derived metrics for instrument path distance (P < .001), speed (P = .002), acceleration (P < .001), motion smoothness (P < .001), and distance between the instruments (P = .019). Only instrument path distance demonstrated a correlation between LEAP and InsTrac tracking methods (novices: r = .663, P < .001; experts: r = .536, P < .001). Consistency of LEAP tracking was poor (average % time hands not tracked: 31.9%). The LEAP motion device is able to track the movement of hands using instruments in a laparoscopic box simulator. Construct validity is demonstrated by its ability to distinguish novice from expert performances. Only time and instrument path distance demonstrated concurrent validity with an existing tracking method however. A number of limitations to the tracking method used by LEAP have been identified. These need to be addressed before it can be considered an alternative to visual tracking for the delivery of objective performance metrics in take-home laparoscopic simulators. © The Author(s) 2015.

An exploration of the relationship between knowledge and performance-related variables in high-fidelity simulation: designing instruction that promotes expertise in practice.

PubMed

Hauber, Roxanne P; Cormier, Eileen; Whyte, James

2010-01-01

Increasingly, high-fidelity patient simulation (HFPS) is becoming essential to nursing education. Much remains unknown about how classroom learning is connected to student decision-making in simulation scenarios and the degree to which transference takes place between the classroom setting and actual practice. The present study was part of a larger pilot study aimed at determining the relationship between nursing students' clinical ability to prioritize their actions and the associated cognitions and physiologic outcomes of care using HFPS. In an effort to better explain the knowledge base being used by nursing students in HFPS, the investigators explored the relationship between common measures of knowledge and performance-related variables. Findings are discussed within the context of the expert performance approach and concepts from cognitive psychology, such as cognitive architecture, cognitive load, memory, and transference.

A consensus-based framework for design, validation, and implementation of simulation-based training curricula in surgery.

PubMed

Zevin, Boris; Levy, Jeffrey S; Satava, Richard M; Grantcharov, Teodor P

2012-10-01

Simulation-based training can improve technical and nontechnical skills in surgery. To date, there is no consensus on the principles for design, validation, and implementation of a simulation-based surgical training curriculum. The aim of this study was to define such principles and formulate them into an interoperable framework using international expert consensus based on the Delphi method. Literature was reviewed, 4 international experts were queried, and consensus conference of national and international members of surgical societies was held to identify the items for the Delphi survey. Forty-five international experts in surgical education were invited to complete the online survey by ranking each item on a Likert scale from 1 to 5. Consensus was predefined as Cronbach's α ≥0.80. Items that 80% of experts ranked as ≥4 were included in the final framework. Twenty-four international experts with training in general surgery (n = 11), orthopaedic surgery (n = 2), obstetrics and gynecology (n = 3), urology (n = 1), plastic surgery (n = 1), pediatric surgery (n = 1), otolaryngology (n = 1), vascular surgery (n = 1), military (n = 1), and doctorate-level educators (n = 2) completed the iterative online Delphi survey. Consensus among participants was achieved after one round of the survey (Cronbach's α = 0.91). The final framework included predevelopment analysis; cognitive, psychomotor, and team-based training; curriculum validation evaluation and improvement; and maintenance of training. The Delphi methodology allowed for determination of international expert consensus on the principles for design, validation, and implementation of a simulation-based surgical training curriculum. These principles were formulated into a framework that can be used internationally across surgical specialties as a step-by-step guide for the development and validation of future simulation-based training curricula. Copyright © 2012 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Combination and selection of traffic safety expert judgments for the prevention of driving risks.

PubMed

Cabello, Enrique; Conde, Cristina; de Diego, Isaac Martín; Moguerza, Javier M; Redchuk, Andrés

2012-11-02

In this paper, we describe a new framework to combine experts’ judgments for the prevention of driving risks in a cabin truck. In addition, the methodology shows how to choose among the experts the one whose predictions fit best the environmental conditions. The methodology is applied over data sets obtained from a high immersive cabin truck simulator in natural driving conditions. A nonparametric model, based in Nearest Neighbors combined with Restricted Least Squared methods is developed. Three experts were asked to evaluate the driving risk using a Visual Analog Scale (VAS), in order to measure the driving risk in a truck simulator where the vehicle dynamics factors were stored. Numerical results show that the methodology is suitable for embedding in real time systems.

Expert views on clinical supervision: a study based on interviews.

PubMed

Severinsson, E I; Borgenhammar, E V

1997-05-01

Clinical supervision is a didactic process of the purpose of human development and maturity. The aim of this study is to analyse views on clinical supervision held by a number of experts, and to reflect on the effects and value of clinical supervision in relation to public health. Data were collected by interviews and analysed in accordance with the grounded theory construction model. The results showed that clinical supervision is an integration process guiding a person from 'novice to expert' by establishing a relationship of trust between supervisor and supervisee. This study indicates that implementation of systematic clinical supervision may positively affect quality of care, and patients' recovery, create improved feeling of confidence in one's work, and prevent burnout among staff. The negative aspects, as reported, were the possibility of high 'opportunity costs', e.g. the time loss for patient care by those participating in organized systematic supervision. On the other hand, clinical supervision contributes towards more efficient use of resources and hence avoids unnecessary costs. However, neither of these aspects were further elaborated on by the experts but clearly indicate an important field for further research.

Comments of statistical issue in numerical modeling for underground nuclear test monitoring

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nicholson, W.L.; Anderson, K.K.

1993-03-01

The Symposium concluded with prepared summaries by four experts in the involved disciplines. These experts made no mention of statistics and/or the statistical content of issues. The first author contributed an extemporaneous statement at the Symposium because there are important issues associated with conducting and evaluating numerical modeling that are familiar to statisticians and often treated successfully by them. This note expands upon these extemporaneous remarks. Statistical ideas may be helpful in resolving some numerical modeling issues. Specifically, we comment first on the role of statistical design/analysis in the quantification process to answer the question ``what do we know aboutmore » the numerical modeling of underground nuclear tests?`` and second on the peculiar nature of uncertainty analysis for situations involving numerical modeling. The simulations described in the workshop, though associated with topic areas, were basically sets of examples. Each simulation was tuned towards agreeing with either empirical evidence or an expert`s opinion of what empirical evidence would be. While the discussions were reasonable, whether the embellishments were correct or a forced fitting of reality is unclear and illustrates that ``simulation is easy.`` We also suggest that these examples of simulation are typical and the questions concerning the legitimacy and the role of knowing the reality are fair, in general, with respect to simulation. The answers will help us understand why ``prediction is difficult.``« less

Exercise Prescription in Patients with Different Combinations of Cardiovascular Disease Risk Factors: A Consensus Statement from the EXPERT Working Group.

PubMed

Hansen, Dominique; Niebauer, Josef; Cornelissen, Veronique; Barna, Olga; Neunhäuserer, Daniel; Stettler, Christoph; Tonoli, Cajsa; Greco, Eugenio; Fagard, Robert; Coninx, Karin; Vanhees, Luc; Piepoli, Massimo F; Pedretti, Roberto; Ruiz, Gustavo Rovelo; Corrà, Ugo; Schmid, Jean-Paul; Davos, Constantinos H; Edelmann, Frank; Abreu, Ana; Rauch, Bernhard; Ambrosetti, Marco; Braga, Simona Sarzi; Beckers, Paul; Bussotti, Maurizio; Faggiano, Pompilio; Garcia-Porrero, Esteban; Kouidi, Evangelia; Lamotte, Michel; Reibis, Rona; Spruit, Martijn A; Takken, Tim; Vigorito, Carlo; Völler, Heinz; Doherty, Patrick; Dendale, Paul

2018-05-04

Whereas exercise training is key in the management of patients with cardiovascular disease (CVD) risk (obesity, diabetes, dyslipidaemia, hypertension), clinicians experience difficulties in how to optimally prescribe exercise in patients with different CVD risk factors. Therefore, a consensus statement for state-of-the-art exercise prescription in patients with combinations of CVD risk factors as integrated into a digital training and decision support system (the EXercise Prescription in Everyday practice & Rehabilitative Training (EXPERT) tool) needed to be established. EXPERT working group members systematically reviewed the literature for meta-analyses, systematic reviews and/or clinical studies addressing exercise prescriptions in specific CVD risk factors and formulated exercise recommendations (exercise training intensity, frequency, volume and type, session and programme duration) and exercise safety precautions, for obesity, arterial hypertension, type 1 and 2 diabetes, and dyslipidaemia. The impact of physical fitness, CVD risk altering medications and adverse events during exercise testing was further taken into account to fine-tune this exercise prescription. An algorithm, supported by the interactive EXPERT tool, was developed by Hasselt University based on these data. Specific exercise recommendations were formulated with the aim to decrease adipose tissue mass, improve glycaemic control and blood lipid profile, and lower blood pressure. The impact of medications to improve CVD risk, adverse events during exercise testing and physical fitness was also taken into account. Simulations were made of how the EXPERT tool provides exercise prescriptions according to the variables provided. In this paper, state-of-the-art exercise prescription to patients with combinations of CVD risk factors is formulated, and it is shown how the EXPERT tool may assist clinicians. This contributes to an appropriately tailored exercise regimen for every CVD risk patient.

Users manual for an expert system (HSPEXP) for calibration of the hydrological simulation program; Fortran

USGS Publications Warehouse

Lumb, A.M.; McCammon, R.B.; Kittle, J.L.

1994-01-01

Expert system software was developed to assist less experienced modelers with calibration of a watershed model and to facilitate the interaction between the modeler and the modeling process not provided by mathematical optimization. A prototype was developed with artificial intelligence software tools, a knowledge engineer, and two domain experts. The manual procedures used by the domain experts were identified and the prototype was then coded by the knowledge engineer. The expert system consists of a set of hierarchical rules designed to guide the calibration of the model through a systematic evaluation of model parameters. When the prototype was completed and tested, it was rewritten for portability and operational use and was named HSPEXP. The watershed model Hydrological Simulation Program--Fortran (HSPF) is used in the expert system. This report is the users manual for HSPEXP and contains a discussion of the concepts and detailed steps and examples for using the software. The system has been tested on watersheds in the States of Washington and Maryland, and the system correctly identified the model parameters to be adjusted and the adjustments led to improved calibration.

Battered women who kill: the impact of expert testimony and empathy induction in the courtroom.

PubMed

Plumm, Karyn M; Terrance, Cheryl A

2009-02-01

Mock jurors (N = 312) viewed a simulated trial involving a woman, charged with the murder of her abusive husband, entering a plea of not guilty by reason of self-defense. Expert testimony was varied using battered woman syndrome, social agency framework, or no expert testimony. Within expert testimony conditions, jurors were presented with opening and closing statements either including or not including instructions aimed at inducing empathy. Results indicate differences in gender and expert testimony for ratings of guilt as well as differences in gender, expert testimony, and empathy induction for perceptions of the defendant.

A knowledge authoring tool for clinical decision support.

PubMed

Dunsmuir, Dustin; Daniels, Jeremy; Brouse, Christopher; Ford, Simon; Ansermino, J Mark

2008-06-01

Anesthesiologists in the operating room are unable to constantly monitor all data generated by physiological monitors. They are further distracted by clinical and educational tasks. An expert system would ideally provide assistance to the anesthesiologist in this data-rich environment. Clinical monitoring expert systems have not been widely adopted, as traditional methods of knowledge encoding require both expert medical and programming skills, making knowledge acquisition difficult. A software application was developed for use as a knowledge authoring tool for physiological monitoring. This application enables clinicians to create knowledge rules without the need of a knowledge engineer or programmer. These rules are designed to provide clinical diagnosis, explanations and treatment advice for optimal patient care to the clinician in real time. By intelligently combining data from physiological monitors and demographical data sources the expert system can use these rules to assist in monitoring the patient. The knowledge authoring process is simplified by limiting connective relationships between rules. The application is designed to allow open collaboration between communities of clinicians to build a library of rules for clinical use. This design provides clinicians with a system for parameter surveillance and expert advice with a transparent pathway of reasoning. A usability evaluation demonstrated that anesthesiologists can rapidly develop useful rules for use in a predefined clinical scenario.

Using Simulation in Nursing PhD Education: Facilitating Application of Responsible Conduct of Research Principles.

PubMed

Clayton, Margaret F; Supiano, Katherine; Wilson, Rebecca; Lassche, Madeline; Latendresse, Gwen

Simulation is a standard clinical nursing educational approach; however, simulation is rarely used in nonclinical nursing education. In doctor of philosophy (PhD) programs, ethical content about responsible conduct of research (RCR) is traditionally didactic, presented early in the program of study. Ethics content merits review before students begin the dissertation phase; thus, the purpose of this project was to design and implement simulated scenarios to help students apply RCR principles prior to beginning independent research. Two scenarios were developed: (a) a potential protocol change discussed in a research team meeting and (b) an in-home data collection experience with an elderly participant and her daughter. Actors were trained faculty volunteers, playing roles outside their usual academic positions. Faculty facilitated scenarios by posing questions as cues related to desired learning outcomes as scenarios unfolded. Eleven nursing PhD students and 6 faculty participated. Debriefing facilitated discussion of RCR principles, common research quandaries, and suggested scenario revisions. Faculty, expert observation, and video-review showed that younger and less experienced students tried to give the "right" answer rather than implement RCR appropriate solutions. Students with more clinical experience had difficulty adopting the less familiar researcher role. Overall, simulation is a novel and useful way to enhance RCR content in PhD programs. Copyright © 2016 Elsevier Inc. All rights reserved.

An evaluation of remote communication versus face-to-face in clinical dental education.

PubMed

Martin, N; Lazalde, O Martínez; Stokes, C; Romano, D

2012-03-23

Distance learning and internet-based delivery of educational content are becoming very popular as an alternative to real face-to-face delivery. Clinical-based discussions still remain greatly face-to-face despite the advancement of remote communication and internet sharing technology. In this study we have compared three communication modalities between a learner and educator: audio and video using voice over internet protocol (VoIP) alone [AV]; audio and video VoIP with the addition of a three dimensional virtual artefact [AV3D] and physical face-to-face [FTF]. Clinical case discussions based on fictitious patients were held between a 'learner' and an 'expert' using the three communication modalities. The learner presented a clinical scenario to the experts, with the aid of a prop (partially dentate cast, digitised for AV3D), to obtain advice on the management of the clinical case. Each communication modality was tested in timed exercises in a random order among one of three experts (senior clinical restorative staff) and a learner (from a cohort of 15 senior clinical undergraduate students) all from the School of Clinical Dentistry, University of Sheffield. All learners and experts used each communication modality in turn with no prior training. Video recording and structured analysis were used to ascertain learner behaviour and levels of interactivity. Evaluation questionnaires were completed by experts and learners immediately after the experiment to ascertain effectiveness of information exchange and barriers/facilitators to communication. The video recordings showed that students were more relaxed with AV and AV3D than FTF (p = 0.01). The evaluation questionnaires showed that students felt they could provide (p = 0.03) and obtain (p = 0.003) more information using the FTF modality, followed by AV and then AV3D. Experts also ranked FTF better than AV and AV3D for providing (p = 0.012) and obtaining (p = 0) information to/from the expert. Physical face-to-face learning is a more effective communication modality for clinical case-based discussions between a learner and an expert. Remote, internet-based discussions enable a more relaxed discussion environment. The effectiveness of 3D supported internet-based communication is dependent upon a robust and simple to use interface, along with some prior training.

Enabling Medical Device Interoperability for the Integrated Clinical Environment

DTIC Science & Technology

2013-08-01

include the unique device identifier (UDI) as specified by the FDA , a logical timestamp as described above, and the data. 17 Existing adverse event...failure or malfunction that led to an adverse effect during a medical procedure. User: clinical and legal experts, IT-experts, biomed experts...diagnosis, treatment, research, safety and quality improvements, equipment management, and adverse event detection and reporting . The Medical

Comparative effectiveness research: what to do when experts disagree about risks.

PubMed

Lie, Reidar K; Chan, Francis K L; Grady, Christine; Ng, Vincent H; Wendler, David

2017-06-19

Ethical issues related to comparative effectiveness research, or research that compares existing standards of care, have recently received considerable attention. In this paper we focus on how Ethics Review Committees (ERCs) should evaluate the risks of comparative effectiveness research. We discuss what has been a prominent focus in the debate about comparative effectiveness research, namely that it is justified when "nothing is known" about the comparative effectiveness of the available alternatives. We argue that this focus may be misleading. Rather, we should focus on the fact that some experts believe that the evidence points in favor of one intervention, whereas other experts believe that the evidence favors the alternative(s). We will then introduce a case that illustrates this point, and based on that, discuss how ERCs should deal with such cases of expert disagreement. We argue that ERCs have a duty to assess the range of expert opinions and based on that assessment arrive at a risk judgment about the study under consideration. We also argue that assessment of expert disagreement is important for the assignment of risk level to a clinical trial: what is the basis for expert opinions, how strong is the evidence appealed to by various experts, and how can clinical trial monitoring affect the possible increased risk of clinical trial participation.

The use of cognitive task analysis to improve instructional descriptions of procedures.

PubMed

Clark, Richard E; Pugh, Carla M; Yates, Kenneth A; Inaba, Kenji; Green, Donald J; Sullivan, Maura E

2012-03-01

Surgical training relies heavily on the ability of expert surgeons to provide complete and accurate descriptions of a complex procedure. However, research from a variety of domains suggests that experts often omit critical information about the judgments, analysis, and decisions they make when solving a difficult problem or performing a complex task. In this study, we compared three methods for capturing surgeons' descriptions of how to perform the procedure for inserting a femoral artery shunt (unaided free-recall, unaided free-recall with simulation, and cognitive task analysis methods) to determine which method produced more accurate and complete results. Cognitive task analysis was approximately 70% more complete and accurate than free-recall and or free-recall during a simulation of the procedure. Ten expert trauma surgeons at a major urban trauma center were interviewed separately and asked to describe how to perform an emergency shunt procedure. Four surgeons provided an unaided free-recall description of the shunt procedure, five surgeons provided an unaided free-recall description of the procedure using visual aids and surgical instruments (simulation), and one (chosen randomly) was interviewed using cognitive task analysis (CTA) methods. An 11th vascular surgeon approved the final CTA protocol. The CTA interview with only one expert surgeon resulted in significantly greater accuracy and completeness of the descriptions compared with the unaided free-recall interviews with multiple expert surgeons. Surgeons in the unaided group omitted nearly 70% of necessary decision steps. In the free-recall group, heavy use of simulation improved surgeons' completeness when describing the steps of the procedure. CTA significantly increases the completeness and accuracy of surgeons' instructional descriptions of surgical procedures. In addition, simulation during unaided free-recall interviews may improve the completeness of interview data. Copyright © 2012 Elsevier Inc. All rights reserved.

[Clinical and communication simulation workshop for fellows in gastroenterology: the trainees' perspective].

PubMed

Lang, Alon; Melzer, Ehud; Bar-Meir, Simon; Eliakim, Rami; Ziv, Amitai

2006-11-01

The continuing development in computer-based medical simulators provides an ideal platform for simulator-assisted training programs for medical trainees. Computer-based endoscopic simulators provide a virtual reality environment for training endoscopic procedures. This study illustrates the use of a comprehensive training model combining the use of endoscopic simulators with simulated (actor) patients (SP). To evaluate the effectiveness of a comprehensive simulation workshop from the trainee perspective. Four case studies were developed with emphasis on communication skills. Three workshops with 10 fellows in each were conducted. During each workshop the trainees spent half of the time in SP case studies and the remaining half working with computerized endoscopic simulators with continuous guidance by an expert endoscopist. Questionnaires were completed by the fellows at the end of the workshop. Seventy percent of the fellows felt that the endoscopic simulator was close or very close to reality for gastroscopy and 63% for colonoscopy. Eighty eight percent thought the close guidance was important for the learning process with the simulator. Eighty percent felt that the case studies were an important learning experience for risk management. Further evaluation of multi-modality simulation workshops in gastroenterologist training is needed to identify how best to incorporate this form of instruction into training for gastroenterologists.

Attitudes and values expected of public health nursing students at graduation: A delphi study.

PubMed

Okura, Mika; Takizawa, Hiroko

2018-06-01

The skills and knowledge of the competencies expected of public health nursing (PHN) students at graduation have been clarified; however, the attitudes and values have not yet been studied in Japan. The objective of this study was to identify and reach a consensus among experts on the attitudes and values expected of PHN students at graduation. This survey was conducted as a two-stage Delphi study. We selected the following experts: 248 teachers in the faculty of public health nursing at a university as academic experts, and 250 public health nurses who were also experienced clinical instructors as clinical experts. The round 1 mailed survey was conducted using a questionnaire about the necessity and importance of attitudes and values, and 211 experts responded (42.4%, clinical; n = 124, academic; n = 87). In the Round 2 survey, the experts consisted of 60.2% of the round 1 participants (clinical; n = 73, academic; n = 54). Descriptive statistics were used for multiple imputation. We identified a total of 13 attitudes and values expected of PHN students, and reached ≥90% consensus for most items (except for one). Regarding the expected achievement level at graduation, there was no difference between clinical and academic experts except for one item. Consensus was clearly achieved for 13 attitudes and values expected of PHN students, as well as importance and expected achievement level at graduation. In the future, it is important to examine strategies that can effectively develop these attitudes and values through basic and continuous education. Copyright © 2018 Elsevier Ltd. All rights reserved.

Model of critical diagnostic reasoning: achieving expert clinician performance.

PubMed

Harjai, Prashant Kumar; Tiwari, Ruby

2009-01-01

Diagnostic reasoning refers to the analytical processes used to determine patient health problems. While the education curriculum and health care system focus on training nurse clinicians to accurately recognize and rescue clinical situations, assessments of non-expert nurses have yielded less than satisfactory data on diagnostic competency. The contrast between the expert and non-expert nurse clinician raises the important question of how differences in thinking may contribute to a large divergence in accurate diagnostic reasoning. This article recognizes superior organization of one's knowledge base, using prototypes, and quick retrieval of pertinent information, using similarity recognition as two reasons for the expert's superior diagnostic performance. A model of critical diagnostic reasoning, using prototypes and similarity recognition, is proposed and elucidated using case studies. This model serves as a starting point toward bridging the gap between clinical data and accurate problem identification, verification, and management while providing a structure for a knowledge exchange between expert and non-expert clinicians.

Evaluating Isolation Behaviors by Nurses Using Mobile Computer Workstations at the Bedside.

PubMed

Beam, Elizabeth L; Gibbs, Shawn G; Hewlett, Angela L; Iwen, Peter C; Nuss, Suzanne L; Smith, Philip W

2016-09-01

This secondary analysis from a larger mixed methods study with a sequential explanatory design investigates the clinical challenges for nurses providing patient care, in an airborne and contact isolation room, while using a computer on wheels for medication administration in a simulated setting. Registered nurses, who regularly work in clinical care at the patient bedside, were recruited as study participants in the simulation and debriefing experience. A live volunteer acted as the standardized patient who needed assessment and intravenous pain medication. The simulation was video recorded in a typical hospital room to observe participating nurses conducting patient care in an airborne and contact isolation situation. Participants then reviewed their performance with study personnel in a formal, audio-recorded debriefing. Isolation behaviors were scored by an expert panel, and the debriefing sessions were analyzed. Considerable variation was found in behaviors related to using a computer on wheels while caring for a patient in isolation. Currently, no nursing care guidelines exist on the use of computers on wheels in an airborne and contact isolation room. Specific education is needed on nursing care processes for the proper disinfection of computers on wheels and the reduction of the potential for disease transmission from environmental contamination.

An expert system for simulating electric loads aboard Space Station Freedom

NASA Technical Reports Server (NTRS)

Kukich, George; Dolce, James L.

1990-01-01

Space Station Freedom will provide an infrastructure for space experimentation. This environment will feature regulated access to any resources required by an experiment. Automated systems are being developed to manage the electric power so that researchers can have the flexibility to modify their experiment plan for contingencies or for new opportunities. To define these flexible power management characteristics for Space Station Freedom, a simulation is required that captures the dynamic nature of space experimentation; namely, an investigator is allowed to restructure his experiment and to modify its execution. This changes the energy demands for the investigator's range of options. An expert system competent in the domain of cryogenic fluid management experimentation was developed. It will be used to help design and test automated power scheduling software for Freedom's electric power system. The expert system allows experiment planning and experiment simulation. The former evaluates experimental alternatives and offers advice on the details of the experiment's design. The latter provides a real-time simulation of the experiment replete with appropriate resource consumption.

Quiet eye gaze behavior of expert, and near-expert, baseball plate umpires.

PubMed

Millslagle, Duane G; Hines, Bridget B; Smith, Melissa S

2013-02-01

The quiet eye gaze behavior of 4 near-expert and 4 expert baseball umpires who called balls and strikes in simulated pitch-hit situations was assessed with a mobile eye cornea tracker system. Statistical analyses of the umpires' gaze behavior (fixation/pursuit tracking, saccades, and blinks)--onset, duration, offset, and frequency--were performed between and within 4 stages (pitcher's preparation, pitcher's delivery, ball in flight, and umpire call) by umpire's skill level. The results indicated that the quiet eye of expert umpires at onset of the pitcher's release point occurred earlier and was longer in duration than near-expert umpires. Expert expert umpires. The area outside the pitcher's ball release point may be the key environment cue for the behind-the-plate umpire.

The integration of quantitative information with an intelligent decision support system for residential energy retrofits

NASA Astrophysics Data System (ADS)

Mo, Yunjeong

The purpose of this research is to support the development of an intelligent Decision Support System (DSS) by integrating quantitative information with expert knowledge in order to facilitate effective retrofit decision-making. To achieve this goal, the Energy Retrofit Decision Process Framework is analyzed. Expert system shell software, a retrofit measure cost database, and energy simulation software are needed for developing the DSS; Exsys Corvid, the NREM database and BEopt were chosen for implementing an integration model. This integration model demonstrates the holistic function of a residential energy retrofit system for existing homes, by providing a prioritized list of retrofit measures with cost information, energy simulation and expert advice. The users, such as homeowners and energy auditors, can acquire all of the necessary retrofit information from this unified system without having to explore several separate systems. The integration model plays the role of a prototype for the finalized intelligent decision support system. It implements all of the necessary functions for the finalized DSS, including integration of the database, energy simulation and expert knowledge.

Empirical Analysis and Refinement of Expert System Knowledge Bases

DTIC Science & Technology

1988-08-31

refinement. Both a simulated case generation program, and a random rule basher were developed to enhance rule refinement experimentation. *Substantial...the second fiscal year 88 objective was fully met. Rule Refinement System Simulated Rule Basher Case Generator Stored Cases Expert System Knowledge...generated until the rule is satisfied. Cases may be randomly generated for a given rule or hypothesis. Rule Basher Given that one has a correct

EULAR recommendations for conducting clinical studies and/or clinical trials in systemic vasculitis: focus on anti‐neutrophil cytoplasm antibody‐associated vasculitis

PubMed Central

Hellmich, Bernhard; Flossmann, Oliver; Gross, Wolfgang L; Bacon, Paul; Cohen‐Tervaert, Jan Willem; Guillevin, Loic; Jayne, David; Mahr, Alfred; Merkel, Peter A; Raspe, Heiner; Scott, David G I; Witter, James; Yazici, Hasan; Luqmani, Raashid A

2007-01-01

Objectives To develop the European League Against Rheumatism (EULAR) recommendations for conducting clinical studies and/or clinical trials in systemic vasculitis. Methods An expert consensus group was formed consisting of rheumatologists, nephrologists and specialists in internal medicine representing five European countries and the USA, a clinical epidemiologist and representatives from regulatory agencies. Using an evidence‐based and expert opinion‐based approach in accordance with the standardised EULAR operating procedures, the group identified nine topics for a systematic literature search through a modified Delphi technique. On the basis of research questions posed by the group, recommendations were derived for conducting clinical studies and/or clinical trials in systemic vasculitis. Results Based on the results of the literature research, the expert committee concluded that sufficient evidence to formulate guidelines on conducting clinical trials was available only for anti‐neutrophil cytoplasm antibody‐associated vasculitides (AAV). It was therefore decided to focus the recommendations on these diseases. Recommendations for conducting clinical trials in AAV were elaborated and are presented in this summary document. It was decided to consider vasculitis‐specific issues rather than general issues of trial methodology. The recommendations deal with the following areas related to clinical studies of vasculitis: definitions of disease, activity states, outcome measures, eligibility criteria, trial design including relevant end points, and biomarkers. A number of aspects of trial methodology were deemed important for future research. Conclusions On the basis of expert opinion, recommendations for conducting clinical trials in AAV were formulated. Furthermore, the expert committee identified a strong need for well‐designed research in non‐AAV systemic vasculitides. PMID:17170053

Do Clinical Clerks Provide Candidates with Adequate Formative Assessment during Objective Structured Clinical Examinations?

ERIC Educational Resources Information Center

Reiter, Harold I.; Rosenfeld, Jack; Nandagopal, Kiruthiga; Eva, Kevin W.

2004-01-01

Context: Various research studies have examined the question of whether expert or non-expert raters, faculty or students, evaluators or standardized patients, give more reliable and valid summative assessments of performance on Objective Structured Clinical Examinations (OSCEs). Less studied has been the question of whether or not non-faculty…

Face, Content, and Construct Validations of Endoscopic Needle Injection Simulator for Transurethral Bulking Agent in Treatment of Stress Urinary Incontinence.

PubMed

Farhan, Bilal; Soltani, Tandis; Do, Rebecca; Perez, Claudia; Choi, Hanul; Ghoniem, Gamal

2018-05-02

Endoscopic injection of urethral bulking agents is an office procedure that is used to treat stress urinary incontinence secondary to internal sphincteric deficiency. Validation studies important part of simulator evaluation and is considered important step to establish the effectiveness of simulation-based training. The endoscopic needle injection (ENI) simulator has not been formally validated, although it has been used widely at University of California, Irvine. We aimed to assess the face, content, and construct validity of the UC, Irvine ENI simulator. Dissected female porcine bladders were mounted in a modified Hysteroscopy Diagnostic Trainer. Using routine endoscopic equipment for this procedure with video monitoring, 6 urologists (experts group) and 6 urology trainee (novice group) completed urethral bulking agents injections on a total of 12 bladders using ENI simulator. Face and content validities were assessed by using structured quantitative survey which rating the realism. Construct validity was assessed by comparing the performance, time of the procedure, and the occlusive (anatomical and functional) evaluations between the experts and novices. Trainees also completed a postprocedure feedback survey. Effective injections were evaluated by measuring the retrograde urethral opening pressure, visual cystoscopic coaptation, and postprocedure gross anatomic examination. All 12 participants felt the simulator was a good training tool and should be used as essential part of urology training (face validity). ENI simulator showed good face and content validity with average score varies between the experts and the novices was 3.9/5 and 3.8/5, respectively. Content validity evaluation showed that most aspects of the simulator were adequately realistic (mean Likert scores 3.9-3.8/5). However, the bladder does not bleed, and sometimes thin. Experts significantly outperformed novices (p < 001) across all measure of performance therefore establishing construct validity. The ENI simulator shows face, content and construct validities, although few aspects of simulator were not very realistic (e.g., bleeding).This study provides a base for the future formal validation for this simulator and for continuing use of this simulator in endourology training. Copyright © 2018 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Implementation and assessment of a curriculum for bedside ultrasound training.

PubMed

Turner, Elizabeth E; Fox, J Christian; Rosen, Mark; Allen, Angela; Rosen, Sasha; Anderson, Craig

2015-05-01

This study assessed a curriculum for bedside ultrasound (US) and compared outcomes from 2 common training pathways. The program consisted of e-learning paired with expert-led hands-on training administered to pulmonary/critical care and cardiology fellows with no prior formal training in bedside US. This "simulation-based learner" group completed a survey of attitudes and confidence before and after training, and knowledge and skills were assessed after training. The surveys and scores of the simulation-based learners were compared to the scores of "experts," who were US-trained emergency physicians, and "apprentice learners," who were intensivist physicians informally trained in bedside US on the job during fellowships. There was a significant difference in the self-reported level of prior training between the groups (simulation-based learners, 2.8; apprentice learners, 3.7; experts, 4.1, on a scale of 1-5 [P= .02]) but no difference in the interest level or perceived importance of bedside US. The study curriculum was successful, as shown by scores that exceeded the comparison groups in the cardiac and pulmonary courses (cardiac: simulation-based learners, 80%; apprentice learners, 73%; experts, 62% [P= .001]; pulmonary: 84%, 75%, and 72%, respectively [P =.02]). The simulation-based learners gained confidence in skills, whereas the comparison groups lost confidence after testing (P < .005); however, the simulation-based learners gained confidence in US subject areas that were not taught (abdomen [P <.002] and miscellaneous [P =.005]). The simulation-based learner curriculum resulted in comparable or greater knowledge and confidence in each area of US versus the comparison groups. Findings of overgeneralization of confidence highlight the importance of quality assurance and supervision in bedside US training programs. © 2015 by the American Institute of Ultrasound in Medicine.

Expert leadership of eating disorder services in South Australia.

PubMed

Long, Randall; Allison, Stephen

2016-06-01

The objective of this study was to describe the history of South Australian Government eating disorder service from the perspective of changing leadership, health policies and politics. The history reveals a foundation of early expert academic clinical leadership changing into a centralised managerial bureaucracy correlating with a diminution of services. A threat to the survival of the service led to a solution involving reinvigoration of expert clinical and academic leadership. Expert leadership was shown to be an important part of an eating disorder service. © The Royal Australian and New Zealand College of Psychiatrists 2016.

A systematic review of health economic models and utility estimation methods in schizophrenia.

PubMed

Németh, Bertalan; Fasseeh, Ahmad; Molnár, Anett; Bitter, István; Horváth, Margit; Kóczián, Kristóf; Götze, Árpád; Nagy, Balázs

2018-06-01

There is a growing need for economic evaluations describing the disease course, as well as the costs and clinical outcomes related to the treatment of schizophrenia. Areas covered: A systematic review on studies describing health economic models in schizophrenia and a targeted literature review on utility mapping algorithms in schizophrenia were carried out. Models found in the review were collated and assessed in detail according to their type and various other attributes. Fifty-nine studies were included in the review. Modeling techniques varied from simple decision trees to complex simulation models. The models used various clinical endpoints as value drivers, 47% of the models used quality-adjusted life years, and eight percent used disability-adjusted life years to measure benefits, while others applied various clinical outcomes. Most models considered patients switching between therapies, and therapeutic adherence, compliance or persistence. The targeted literature review identified four main approaches to map PANSS scores to utility values. Expert commentary: Health economic models developed for schizophrenia showed great variability, with simulation models becoming more frequently used in the last decade. Using PANSS scores as the basis of utility estimations is justifiable.

Expertise in crime scene examination: comparing search strategies of expert and novice crime scene examiners in simulated crime scenes.

PubMed

Baber, Chris; Butler, Mark

2012-06-01

The strategies of novice and expert crime scene examiners were compared in searching crime scenes. Previous studies have demonstrated that experts frame a scene through reconstructing the likely actions of a criminal and use contextual cues to develop hypotheses that guide subsequent search for evidence. Novice (first-year undergraduate students of forensic sciences) and expert (experienced crime scene examiners) examined two "simulated" crime scenes. Performance was captured through a combination of concurrent verbal protocol and own-point recording, using head-mounted cameras. Although both groups paid attention to the likely modus operandi of the perpetrator (in terms of possible actions taken), the novices paid more attention to individual objects, whereas the experts paid more attention to objects with "evidential value." Novices explore the scene in terms of the objects that it contains, whereas experts consider the evidence analysis that can be performed as a consequence of the examination. The suggestion is that the novices are putting effort into detailing the scene in terms of its features, whereas the experts are putting effort into the likely actions that can be performed as a consequence of the examination. The findings have helped in developing the expertise of novice crime scene examiners and approaches to training of expertise within this population.

Expert searcher, teacher, content manager, and patient advocate: an exploratory study of clinical librarian roles.

PubMed

Tan, Maria C; Maggio, Lauren A

2013-01-01

The research explored the roles of practicing clinical librarians embedded in a patient care team. Six clinical librarians from Canada and one from the United States were interviewed to elicit detailed descriptions of their clinical roles and responsibilities and the context in which these were performed. Participants were embedded in a wide range of clinical service areas, working with a diverse complement of health professionals. As clinical librarians, participants wore many hats, including expert searcher, teacher, content manager, and patient advocate. Unique aspects of how these roles played out included a sense of urgency surrounding searching activities, the broad dissemination of responses to clinical questions, and leverage of the roles of expert searcher, teacher, and content manager to advocate for patients. Detailed role descriptions of clinical librarians embedded in patient care teams suggest possible new practices for existing clinical librarians, provide direction for training new librarians working in patient care environments, and raise awareness of the clinical librarian specialty among current and budding health information professionals.

Emergency manual implementation: can brief simulation-based or staff trainings increase familiarity and planned clinical use?

PubMed

Goldhaber-Fiebert, Sara N; Lei, Vivian; Nandagopal, Kiruthiga; Bereknyei, Sylvia

2015-05-01

Emergency manuals (EMs)-context-relevant sets of cognitive aids such as crisis checklists-are useful tools to enhance perioperative patient care. Studies in high-hazard industries demonstrate that humans, regardless of expertise, do not optimally retrieve or deploy key knowledge under stress. EM use has been shown in both health care simulation studies and other industries to help expert teams effectively manage critical events. However, clinical adoption and use are still nascent in health care. Recognizing that training with, access to, and cultural acceptance of EMs can be vital elements for successful implementation, this study assessed the impact of a brief in situ operating room (OR) staff training program on familiarity with EMs and intention to use them during critical events. Nine 50-minute training sessions were held with OR staff as part of a broader perioperative EM implementation. Participants primarily included OR nurses and surgical technologists. The simulation-based in situ trainings included why and how to use EMs, familiarization with format, simulated scenarios of critical events, and debriefings. A retrospective pre-post survey was conducted to determine participants' levels of EM familiarity and intentions to use EMs clinically. The 126 trained OR staff self-reported increases in awareness of the EM (p < .01), familiarity with EM (p < .01), willingness to use for educational review (p < .01), and intention to use during critical events (p < .01). Participants rated the sessions highly and expressed interest in more opportunities to practice using EMs. Implementing institutions should not only provide EMs in accessible places in ORs but also incorporate training mechanisms to increase clinicians' familiarity, cultural acceptance, and planned clinical use.

Chronic obstructive lung disease "expert system": validation of a predictive tool for assisting diagnosis.

PubMed

Braido, Fulvio; Santus, Pierachille; Corsico, Angelo Guido; Di Marco, Fabiano; Melioli, Giovanni; Scichilone, Nicola; Solidoro, Paolo

2018-01-01

The purposes of this study were development and validation of an expert system (ES) aimed at supporting the diagnosis of chronic obstructive lung disease (COLD). A questionnaire and a WebFlex code were developed and validated in silico. An expert panel pilot validation on 60 cases and a clinical validation on 241 cases were performed. The developed questionnaire and code validated in silico resulted in a suitable tool to support the medical diagnosis. The clinical validation of the ES was performed in an academic setting that included six different reference centers for respiratory diseases. The results of the ES expressed as a score associated with the risk of suffering from COLD were matched and compared with the final clinical diagnoses. A set of 60 patients were evaluated by a pilot expert panel validation with the aim of calculating the sample size for the clinical validation study. The concordance analysis between these preliminary ES scores and diagnoses performed by the experts indicated that the accuracy was 94.7% when both experts and the system confirmed the COLD diagnosis and 86.3% when COLD was excluded. Based on these results, the sample size of the validation set was established in 240 patients. The clinical validation, performed on 241 patients, resulted in ES accuracy of 97.5%, with confirmed COLD diagnosis in 53.6% of the cases and excluded COLD diagnosis in 32% of the cases. In 11.2% of cases, a diagnosis of COLD was made by the experts, although the imaging results showed a potential concomitant disorder. The ES presented here (COLD ES ) is a safe and robust supporting tool for COLD diagnosis in primary care settings.

Expert knowledge elicitation using computer simulation: the organization of frail elderly case management as an illustration.

PubMed

Chiêm, Jean-Christophe; Van Durme, Thérèse; Vandendorpe, Florence; Schmitz, Olivier; Speybroeck, Niko; Cès, Sophie; Macq, Jean

2014-08-01

Various elderly case management projects have been implemented in Belgium. This type of long-term health care intervention involves contextual factors and human interactions. These underlying complex mechanisms can be usefully informed with field experts' knowledge, which are hard to make explicit. However, computer simulation has been suggested as one possible method of overcoming the difficulty of articulating such elicited qualitative views. A simulation model of case management was designed using an agent-based methodology, based on the initial qualitative research material. Variables and rules of interaction were formulated into a simple conceptual framework. This model has been implemented and was used as a support for a structured discussion with experts in case management. The rigorous formulation provided by the agent-based methodology clarified the descriptions of the interventions and the problems encountered regarding: the diverse network topologies of health care actors in the project; the adaptation time required by the intervention; the communication between the health care actors; the institutional context; the organization of the care; and the role of the case manager and his or hers personal ability to interpret the informal demands of the frail older person. The simulation model should be seen primarily as a tool for thinking and learning. A number of insights were gained as part of a valuable cognitive process. Computer simulation supporting field experts' elicitation can lead to better-informed decisions in the organization of complex health care interventions. © 2013 John Wiley & Sons, Ltd.

From dV-Trainer to Real Robotic Console: The Limitations of Robotic Skill Training.

PubMed

Yang, Kun; Zhen, Hang; Hubert, Nicolas; Perez, Manuela; Wang, Xing Huan; Hubert, Jacques

To investigate operators' performance quality, mental stress, and ergonomic habits through a training curriculum on robotic simulators. Forty volunteers without robotic surgery experience were recruited to practice 2 exercises on a dV-Trainer (dVT) for 14 hours. The simulator software (M-score a ) provided an automatic evaluation of the overall score for the surgeons' performance. Each participant provided a subjective difficulty score (validity to be proven) for each exercise. Their ergonomic habits were evaluated based on the workspace range and armrest load-validated criteria for evaluating the proficiency of using the armrest. They then repeated the same tasks on a da Vinci Surgical Skill Simulator for a final-level test. Their final scores were compared with their initial scores and the scores of 5 experts on the da Vinci Surgical Skill Simulator. A total of 14 hours of training on the dVT significantly improved the surgeons' performance scores to the expert level with a significantly reduced workload, but their ergonomic score was still far from the expert level. Sufficient training on the dVT improves novices' performance, reduces psychological stress, and inculcates better ergonomic habits. Among the evaluated criteria, novices had the most difficulty in achieving expert levels of ergonomic skills. The training benefits of robotic surgery simulators should be determined with quantified variables. The detection of the limitations during robotic training curricula could guide the targeted training and improve the training effect. Copyright © 2017. Published by Elsevier Inc.

Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests.

PubMed

Anastasiadou, Maria N; Christodoulakis, Manolis; Papathanasiou, Eleftherios S; Papacostas, Savvas S; Mitsis, Georgios D

2017-09-01

This paper proposes supervised and unsupervised algorithms for automatic muscle artifact detection and removal from long-term EEG recordings, which combine canonical correlation analysis (CCA) and wavelets with random forests (RF). The proposed algorithms first perform CCA and continuous wavelet transform of the canonical components to generate a number of features which include component autocorrelation values and wavelet coefficient magnitude values. A subset of the most important features is subsequently selected using RF and labelled observations (supervised case) or synthetic data constructed from the original observations (unsupervised case). The proposed algorithms are evaluated using realistic simulation data as well as 30min epochs of non-invasive EEG recordings obtained from ten patients with epilepsy. We assessed the performance of the proposed algorithms using classification performance and goodness-of-fit values for noisy and noise-free signal windows. In the simulation study, where the ground truth was known, the proposed algorithms yielded almost perfect performance. In the case of experimental data, where expert marking was performed, the results suggest that both the supervised and unsupervised algorithm versions were able to remove artifacts without affecting noise-free channels considerably, outperforming standard CCA, independent component analysis (ICA) and Lagged Auto-Mutual Information Clustering (LAMIC). The proposed algorithms achieved excellent performance for both simulation and experimental data. Importantly, for the first time to our knowledge, we were able to perform entirely unsupervised artifact removal, i.e. without using already marked noisy data segments, achieving performance that is comparable to the supervised case. Overall, the results suggest that the proposed algorithms yield significant future potential for improving EEG signal quality in research or clinical settings without the need for marking by expert neurophysiologists, EMG signal recording and user visual inspection. Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Defining the Correctness of a Diagnosis: Differential Judgments and Expert Knowledge

ERIC Educational Resources Information Center

Kanter, Steven L.; Brosenitsch, Teresa A.; Mahoney, John F.; Staszewski, James

2010-01-01

Approaches that use a simulated patient case to study and assess diagnostic reasoning usually use the correct diagnosis of the case as a measure of success and as an anchor for other measures. Commonly, the correctness of a diagnosis is determined by the judgment of one or more experts. In this study, the consistency of experts' judgments of the…

How Do Expert Soccer Players Encode Visual Information to Make Decisions in Simulated Game Situations?

ERIC Educational Resources Information Center

Poplu, Gerald; Ripoll, Hubert; Mavromatis, Sebastien; Baratgin, Jean

2008-01-01

The aim of this study was to determine what visual information expert soccer players encode when they are asked to make a decision. We used a repetition-priming paradigm to test the hypothesis that experts encode a soccer pattern's structure independently of the players' physical characteristics (i.e., posture and morphology). The participants…

Active and Passive Haptic Training Approaches in VR Laparoscopic Surgery Training.

PubMed

Marutani, Takafumi; Kato, Toma; Tagawa, Kazuyoshi; Tanaka, Hiromi T; Komori, Masaru; Kurumi, Yoshimasa; Morikawa, Shigehiro

2016-01-01

Laparoscopic surgery has become a widely performed surgery as it is one of the most common minimally invasive surgeries. Doctors perform the surgery by manipulating thin and long surgical instruments precisely with the assistance of laparoscopic video with limited field of view. The power control of the instruments' tip is especially very important, because excessive power may damage internal organs. The training of this surgical technique is mainly supervised by an expert in hands-on coaching program. However, it is difficult for the experts to spend sufficient time for coaching. Therefore, we aim to teach the expert's hand movements in laparoscopic surgery to trainees using VR-based simulator, which is equipped with a guidance force display device. To realize the system, we propose two haptic training approaches for transferring the expert's hand movements to the trainee. One is active training, and the other is passive training. The former approach shows the expert's movements only when the trainee makes large errors while the latter shows the expert's movements continuously. In this study, we validate the applicability of these approaches through tasks in VR laparoscopic surgery training simulator, and identify the differences between these approaches.

An expert system for municipal solid waste management simulation analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hsieh, M.C.; Chang, N.B.

1996-12-31

Optimization techniques were usually used to model the complicated metropolitan solid waste management system to search for the best dynamic combination of waste recycling, facility siting, and system operation, where sophisticated and well-defined interrelationship are required in the modeling process. But this paper applied the Concurrent Object-Oriented Simulation (COOS), a new simulation software construction method, to bridge the gap between the physical system and its computer representation. The case study of Kaohsiung solid waste management system in Taiwan is prepared for the illustration of the analytical methodology of COOS and its implementation in the creation of an expert system.

Assessment of pharmacy students' communication competence using the Roter Interaction Analysis System during objective structured clinical examinations.

PubMed

Kubota, Yoshie; Yano, Yoshitaka; Seki, Susumu; Takada, Kaori; Sakuma, Mio; Morimoto, Takeshi; Akaike, Akinori; Hiraide, Atsushi

2011-04-11

To determine the value of using the Roter Interaction Analysis System during objective structured clinical examinations (OSCEs) to assess pharmacy students' communication competence. As pharmacy students completed a clinical OSCE involving an interview with a simulated patient, 3 experts used a global rating scale to assess students' overall performance in the interview, and both the student's and patient's languages were coded using the Roter Interaction Analysis System (RIAS). The coders recorded the number of utterances (ie, units of spoken language) in each RIAS category. Correlations between the raters' scores and the number and types of utterances were examined. There was a significant correlation between students' global rating scores on the OSCE and the number of utterances in the RIAS socio-emotional category but not the RIAS business category. The RIAS proved to be a useful tool for assessing the socio-emotional aspect of students' interview skills.

Reusable Component Model Development Approach for Parallel and Distributed Simulation

PubMed Central

Zhu, Feng; Yao, Yiping; Chen, Huilong; Yao, Feng

2014-01-01

Model reuse is a key issue to be resolved in parallel and distributed simulation at present. However, component models built by different domain experts usually have diversiform interfaces, couple tightly, and bind with simulation platforms closely. As a result, they are difficult to be reused across different simulation platforms and applications. To address the problem, this paper first proposed a reusable component model framework. Based on this framework, then our reusable model development approach is elaborated, which contains two phases: (1) domain experts create simulation computational modules observing three principles to achieve their independence; (2) model developer encapsulates these simulation computational modules with six standard service interfaces to improve their reusability. The case study of a radar model indicates that the model developed using our approach has good reusability and it is easy to be used in different simulation platforms and applications. PMID:24729751

Expert Opinions on Nutrition Issues in Clinical Dentistry.

ERIC Educational Resources Information Center

Palmer, Carole A.; And Others

1990-01-01

A survey of 79 experts in dental nutrition sought consensus on the appropriate scope of nutrition in clinical dentistry. Results support the need for greater attention to nutrition issues in dental schools and better models for nutrition interventions in dental practice. (Author/MSE)

Simulation Research in Gastrointestinal and Urologic Care-Challenges and Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases and National Institute of Biomedical Imaging and Bioengineering Workshop.

PubMed

Aggarwal, Rajesh; Brown, Kimberly M; de Groen, Piet C; Gallagher, Anthony G; Henriksen, Kerm; Kavoussi, Louis R; Peng, Grace C Y; Ritter, E Matthew; Silverman, Elliott; Wang, Kenneth K; Andersen, Dana K

2018-01-01

: A workshop on "Simulation Research in Gastrointestinal and Urologic Care: Challenges and Opportunities" was held at the National Institutes of Health in June 2016. The purpose of the workshop was to examine the extent to which simulation approaches have been used by skilled proceduralists (not trainees) caring for patients with gastrointestinal and urologic diseases. The current status of research findings in the use and effectiveness of simulation applications was reviewed, and numerous knowledge gaps and research needs were identified by the faculty and the attendees. The paradigm of "deliberate practice," rather than mere repetition, and the value of coaching by experts was stressed by those who have adopted simulation in music and sports. Models that are most useful for the adoption of simulation by expert clinicians have yet to be fully validated. Initial studies on the impact of simulation on safety and error reduction have demonstrated its value in the training domain, but the role of simulation as a strategy for increased procedural safety remains uncertain in the world of the expert practitioner. Although the basic requirements for experienced physicians to acquire new skills have been explored, the widespread availability of such resources is an unrealized goal, and there is a need for well-designed outcome studies to establish the role of simulation in improving the quality of health care.

A large-scale mass casualty simulation to develop the non-technical skills medical students require for collaborative teamwork.

PubMed

Jorm, Christine; Roberts, Chris; Lim, Renee; Roper, Josephine; Skinner, Clare; Robertson, Jeremy; Gentilcore, Stacey; Osomanski, Adam

2016-03-08

There is little research on large-scale complex health care simulations designed to facilitate student learning of non-technical skills in a team-working environment. We evaluated the acceptability and effectiveness of a novel natural disaster simulation that enabled medical students to demonstrate their achievement of the non-technical skills of collaboration, negotiation and communication. In a mixed methods approach, survey data were available from 117 students and a thematic analysis undertaken of both student qualitative comments and tutor observer participation data. Ninety three per cent of students found the activity engaging for their learning. Three themes emerged from the qualitative data: the impact of fidelity on student learning, reflexivity on the importance of non-technical skills in clinical care, and opportunities for collaborative teamwork. Physical fidelity was sufficient for good levels of student engagement, as was sociological fidelity. We demonstrated the effectiveness of the simulation in allowing students to reflect upon and evidence their acquisition of skills in collaboration, negotiation and communication, as well as situational awareness and attending to their emotions. Students readily identified emerging learning opportunities though critical reflection. The scenarios challenged students to work together collaboratively to solve clinical problems, using a range of resources including interacting with clinical experts. A large class teaching activity, framed as a simulation of a natural disaster is an acceptable and effective activity for medical students to develop the non-technical skills of collaboration, negotiation and communication, which are essential to team working. The design could be of value in medical schools in disaster prone areas, including within low resource countries, and as a feasible intervention for learning the non-technical skills that are needed for patient safety.

Validation of a novel basic virtual reality simulator, the LAP-X, for training basic laparoscopic skills.

PubMed

Kawaguchi, Koji; Egi, Hiroyuki; Hattori, Minoru; Sawada, Hiroyuki; Suzuki, Takahisa; Ohdan, Hideki

2014-10-01

Virtual reality surgical simulators are becoming popular as a means of providing trainees with an opportunity to practice laparoscopic skills. The Lap-X (Epona Medical, Rotterdam, the Netherlands) is a novel VR simulator for training basic skills in laparoscopic surgery. The objective of this study was to validate the LAP-X laparoscopic virtual reality simulator by assessing the face and construct validity in order to determine whether the simulator is adequate for basic skills training. The face and content validity were evaluated using a structured questionnaire. To assess the construct validity, the participants, nine expert surgeons (median age: 40 (32-45)) (>100 laparoscopic procedures) and 11 novices performed three basic laparoscopic tasks using the Lap-X. The participants reported a high level of content validity. No significant differences were found between the expert surgeons and the novices (Ps > 0.246). The performance of the expert surgeons on the three tasks was significantly better than that of the novices in all parameters (Ps < 0.05). This study demonstrated the face, content and construct validity of the Lap-X. The Lap-X holds real potential as a home and hospital training device.

The numerical modelling and process simulation for the fault diagnosis of rotary kiln incinerator.

PubMed

Roh, S D; Kim, S W; Cho, W S

2001-10-01

The numerical modelling and process simulation for the fault diagnosis of rotary kiln incinerator were accomplished. In the numerical modelling, two models applied to the modelling within the kiln are the combustion chamber model including the mass and energy balance equations for two combustion chambers and 3D thermal model. The combustion chamber model predicts temperature within the kiln, flue gas composition, flux and heat of combustion. Using the combustion chamber model and 3D thermal model, the production-rules for the process simulation can be obtained through interrelation analysis between control and operation variables. The process simulation of the kiln is operated with the production-rules for automatic operation. The process simulation aims to provide fundamental solutions to the problems in incineration process by introducing an online expert control system to provide an integrity in process control and management. Knowledge-based expert control systems use symbolic logic and heuristic rules to find solutions for various types of problems. It was implemented to be a hybrid intelligent expert control system by mutually connecting with the process control systems which has the capability of process diagnosis, analysis and control.

Ventilation tube insertion simulation: a literature review and validity assessment of five training models.

PubMed

Mahalingam, S; Awad, Z; Tolley, N S; Khemani, S

2016-08-01

The objective of this study was to identify and investigate the face and content validity of ventilation tube insertion (VTI) training models described in the literature. A review of literature was carried out to identify articles describing VTI simulators. Feasible models were replicated and assessed by a group of experts. Postgraduate simulation centre. Experts were defined as surgeons who had performed at least 100 VTI on patients. Seventeen experts were participated ensuring sufficient statistical power for analysis. A standardised 18-item Likert-scale questionnaire was used. This addressed face validity (realism), global and task-specific content (suitability of the model for teaching) and curriculum recommendation. The search revealed eleven models, of which only five had associated validity data. Five models were found to be feasible to replicate. None of the tested models achieved face or global content validity. Only one model achieved task-specific validity, and hence, there was no agreement on curriculum recommendation. The quality of simulation models is moderate and there is room for improvement. There is a need for new models to be developed or existing ones to be refined in order to construct a more realistic training platform for VTI simulation. © 2015 John Wiley & Sons Ltd.

A Surgical Virtual Reality Simulator Distinguishes Between Expert Gynecologic Laparoscopic Surgeons and Perinatologists

PubMed Central

von Dadelszen, Peter; Allaire, Catherine

2011-01-01

Background: Concern regarding the quality of surgical training in obstetrics and gynecology residency programs is focusing attention on competency based education. Because open surgical skills cannot necessarily be translated into laparoscopic skills and with minimally invasive surgery becoming standard in operative gynecology, the discrepancy in training between obstetrics and gynecology will widen. Training on surgical simulators with virtual reality may improve surgical skills. However, before incorporation into training programs for gynecology residents the validity of such instruments needs to first be established. We sought to prove the construct validity of a virtual reality laparoscopic simulator, the SurgicalSimTM, by showing its ability to distinguish between surgeons with different laparoscopic experience. Methods: Eleven gynecologic surgeons (experts) and 11 perinatologists (controls) completed 3 tasks on the simulator, and 10 performance parameters were compared. Results: The experts performed faster, more efficiently, and with fewer errors, proving the construct validity of the SurgicalSim. Conclusions: Laparoscopic virtual reality simulators can measure relevant surgical skills and so distinguish between subjects having different skill levels. Hence, these simulators could be integrated into gynecology resident endoscopic training and utilized for objective assessment. Second, the skills required for competency in obstetrics cannot necessarily be utilized for better performance in laparoscopic gynecology. PMID:21985726

QwikMD — Integrative Molecular Dynamics Toolkit for Novices and Experts

PubMed Central

Ribeiro, João V.; Bernardi, Rafael C.; Rudack, Till; Stone, John E.; Phillips, James C.; Freddolino, Peter L.; Schulten, Klaus

2016-01-01

The proper functioning of biomolecules in living cells requires them to assume particular structures and to undergo conformational changes. Both biomolecular structure and motion can be studied using a wide variety of techniques, but none offers the level of detail as do molecular dynamics (MD) simulations. Integrating two widely used modeling programs, namely NAMD and VMD, we have created a robust, user-friendly software, QwikMD, which enables novices and experts alike to address biomedically relevant questions, where often only molecular dynamics simulations can provide answers. Performing both simple and advanced MD simulations interactively, QwikMD automates as many steps as necessary for preparing, carrying out, and analyzing simulations while checking for common errors and enabling reproducibility. QwikMD meets also the needs of experts in the field, increasing the efficiency and quality of their work by carrying out tedious or repetitive tasks while enabling easy control of every step. Whether carrying out simulations within the live view mode on a small laptop or performing complex and large simulations on supercomputers or Cloud computers, QwikMD uses the same steps and user interface. QwikMD is freely available by download on group and personal computers. It is also available on the cloud at Amazon Web Services. PMID:27216779

QwikMD — Integrative Molecular Dynamics Toolkit for Novices and Experts

NASA Astrophysics Data System (ADS)

Ribeiro, João V.; Bernardi, Rafael C.; Rudack, Till; Stone, John E.; Phillips, James C.; Freddolino, Peter L.; Schulten, Klaus

2016-05-01

The proper functioning of biomolecules in living cells requires them to assume particular structures and to undergo conformational changes. Both biomolecular structure and motion can be studied using a wide variety of techniques, but none offers the level of detail as do molecular dynamics (MD) simulations. Integrating two widely used modeling programs, namely NAMD and VMD, we have created a robust, user-friendly software, QwikMD, which enables novices and experts alike to address biomedically relevant questions, where often only molecular dynamics simulations can provide answers. Performing both simple and advanced MD simulations interactively, QwikMD automates as many steps as necessary for preparing, carrying out, and analyzing simulations while checking for common errors and enabling reproducibility. QwikMD meets also the needs of experts in the field, increasing the efficiency and quality of their work by carrying out tedious or repetitive tasks while enabling easy control of every step. Whether carrying out simulations within the live view mode on a small laptop or performing complex and large simulations on supercomputers or Cloud computers, QwikMD uses the same steps and user interface. QwikMD is freely available by download on group and personal computers. It is also available on the cloud at Amazon Web Services.

Face validity, construct validity and training benefits of a virtual reality TURP simulator.

PubMed

Bright, Elizabeth; Vine, Samuel; Wilson, Mark R; Masters, Rich S W; McGrath, John S

2012-01-01

To assess face validity, construct validity and the training benefits of a virtual reality TURP simulator. 11 novices (no TURP experience) and 7 experts (>200 TURP's) completed a virtual reality median lobe prostate resection task on the TURPsim™ (Simbionix USA Corp., Cleveland, OH). Performance indicators (percentage of prostate resected (PR), percentage of capsular resection (CR) and time diathermy loop active without tissue contact (TAWC) were recorded via the TURPsim™ and compared between novices and experts to assess construct validity. Verbal comments provided by experts following task completion were used to assess face validity. Repeated attempts of the task by the novices were analysed to assess the training benefits of the TURPsim™. Experts resected a significantly greater percentage of prostate per minute (p < 0.01) and had significantly less active diathermy time without tissue contact (p < 0.01) than novices. After practice, novices were able to perform the simulation more effectively, with significant improvement in all measured parameters. Improvement in performance was noted in novices following repetitive training, as evidenced by improved TAWC scores that were not significantly different from the expert group (p = 0.18). This study has established face and construct validity for the TURPsim™. The potential benefit in using this tool to train novices has also been demonstrated. Copyright © 2012 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

Diagnostic reasoning strategies and diagnostic success.

PubMed

Coderre, S; Mandin, H; Harasym, P H; Fick, G H

2003-08-01

Cognitive psychology research supports the notion that experts use mental frameworks or "schemes", both to organize knowledge in memory and to solve clinical problems. The central purpose of this study was to determine the relationship between problem-solving strategies and the likelihood of diagnostic success. Think-aloud protocols were collected to determine the diagnostic reasoning used by experts and non-experts when attempting to diagnose clinical presentations in gastroenterology. Using logistic regression analysis, the study found that there is a relationship between diagnostic reasoning strategy and the likelihood of diagnostic success. Compared to hypothetico-deductive reasoning, the odds of diagnostic success were significantly greater when subjects used the diagnostic strategies of pattern recognition and scheme-inductive reasoning. Two other factors emerged as independent determinants of diagnostic success: expertise and clinical presentation. Not surprisingly, experts outperformed novices, while the content area of the clinical cases in each of the four clinical presentations demonstrated varying degrees of difficulty and thus diagnostic success. These findings have significant implications for medical educators. It supports the introduction of "schemes" as a means of enhancing memory organization and improving diagnostic success.

Establishing objective benchmarks in robotic virtual reality simulation at the level of a competent surgeon using the RobotiX Mentor simulator.

PubMed

Watkinson, William; Raison, Nicholas; Abe, Takashige; Harrison, Patrick; Khan, Shamim; Van der Poel, Henk; Dasgupta, Prokar; Ahmed, Kamran

2018-05-01

To establish objective benchmarks at the level of a competent robotic surgeon across different exercises and metrics for the RobotiX Mentor virtual reality (VR) simulator suitable for use within a robotic surgical training curriculum. This retrospective observational study analysed results from multiple data sources, all of which used the RobotiX Mentor VR simulator. 123 participants with varying experience from novice to expert completed the exercises. Competency was established as the 25th centile of the mean advanced intermediate score. Three basic skill exercises and two advanced skill exercises were used. King's College London. 84 Novice, 26 beginner intermediates, 9 advanced intermediates and 4 experts were used in this retrospective observational study. Objective benchmarks derived from the 25th centile of the mean scores of the advanced intermediates provided suitably challenging yet also achievable targets for training surgeons. The disparity in scores was greatest for the advanced exercises. Novice surgeons are able to achieve the benchmarks across all exercises in the majority of metrics. We have successfully created this proof-of-concept study, which requires validation in a larger cohort. Objective benchmarks obtained from the 25th centile of the mean scores of advanced intermediates provide clinically relevant benchmarks at the standard of a competent robotic surgeon that are challenging yet also attainable. That can be used within a VR training curriculum allowing participants to track and monitor their progress in a structured and progressional manner through five exercises. Providing clearly defined targets, ensuring that a universal training standard has been achieved across training surgeons. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

SWAN: An expert system with natural language interface for tactical air capability assessment

NASA Technical Reports Server (NTRS)

Simmons, Robert M.

1987-01-01

SWAN is an expert system and natural language interface for assessing the war fighting capability of Air Force units in Europe. The expert system is an object oriented knowledge based simulation with an alternate worlds facility for performing what-if excursions. Responses from the system take the form of generated text, tables, or graphs. The natural language interface is an expert system in its own right, with a knowledge base and rules which understand how to access external databases, models, or expert systems. The distinguishing feature of the Air Force expert system is its use of meta-knowledge to generate explanations in the frame and procedure based environment.

Simulation in neurology.

PubMed

Micieli, Giuseppe; Cavallini, Anna; Santalucia, Paola; Gensini, Gianfranco

2015-10-01

Simulation is a frontier for disseminating knowledge in almost all the fields of medicine and it is attracting growing interest because it offers a means of developing new teaching and training models, as well as of verifying what has been learned in a critical setting that simulates clinical practice. The role of simulation in neurology, until now limited by the obvious physical limitations of the dummies used to train students and learners, is now increasing since, today, it allows anamnestic data to be related to the instrumental evidence necessary for diagnosis and therapeutic decision-making, i.e., to the findings of neurophysiological investigations (EEG, carotid and vertebral echography and transcranial Doppler, for example) and neuroradiological investigations (CT, MRI imaging), as well as vital parameter monitoring (ECG, saturimetry, blood pressure, respiratory frequency, etc.). Simulation, by providing learners with opportunities to discuss, with experts, different profiles of biological parameters (both during the simulation itself and in the subsequent debriefing session), is becoming an increasingly important tool for training those involved in evaluation of critical neurological patients (stroke, Guillan Barrè syndrome, myasthenia, status epilepticus, headache, vertigo, confusional status, etc.) and complex cases. In this SIMMED (Italian Society for Simulation in Medicine) position paper, the applications (present and, possibly, future) of simulation in neurology are reported.

Comparing surgical experience with performance on a sinus surgery simulator.

PubMed

Diment, Laura E; Ruthenbeck, Greg S; Dharmawardana, Nuwan; Carney, A Simon; Woods, Charmaine M; Ooi, Eng H; Reynolds, Karen J

2016-12-01

This study evaluates whether surgical experience influences technical competence using the Flinders sinus surgery simulator, a virtual environment designed to teach nasal endoscopic surgical skills. Ten experienced sinus surgeons (five consultants and five registrars) and 14 novices (seven resident medical officers and seven interns/medical students) completed three simulation tasks using haptic controllers. Task 1 required navigation of the sinuses and identification of six anatomical landmarks, Task 2 required removal of unhealthy tissue while preserving healthy tissue and Task 3 entailed backbiting within pre-set lines on the uncinate process and microdebriding tissue between the cuts. Novices were compared with experts on a range of measures, using Mann-Whitney U -tests. Novices took longer on all tasks (Task 1: 278%, P < 0.005; Task 2: 112%, P < 0.005; Task 3: 72%, P < 0.005). In Task 1, novices' instruments travelled further than experts' (379%, P < 0.005), and provided greater maximum force (12%, P < 0.05). In Tasks 2 and 3 novices performed more cutting movements to remove the tissue (Task 2: 1500%, P < 0.005; Task 3: 72%, P < 0.005). Experts also completed more of Task 3 (66%, P < 0.05). The study demonstrated the Flinders sinus simulator's construct validity, differentiating between experts and novices with respect to procedure time, instrument distance travelled and number of cutting motions to complete the task. © 2015 Royal Australasian College of Surgeons.

Development and Application of a Clinical Microsystem Simulation Methodology for Human Factors-Based Research of Alarm Fatigue.

PubMed

Kobayashi, Leo; Gosbee, John W; Merck, Derek L

2017-07-01

(1) To develop a clinical microsystem simulation methodology for alarm fatigue research with a human factors engineering (HFE) assessment framework and (2) to explore its application to the comparative examination of different approaches to patient monitoring and provider notification. Problems with the design, implementation, and real-world use of patient monitoring systems result in alarm fatigue. A multidisciplinary team is developing an open-source tool kit to promote bedside informatics research and mitigate alarm fatigue. Simulation, HFE, and computer science experts created a novel simulation methodology to study alarm fatigue. Featuring multiple interconnected simulated patient scenarios with scripted timeline, "distractor" patient care tasks, and triggered true and false alarms, the methodology incorporated objective metrics to assess provider and system performance. Developed materials were implemented during institutional review board-approved study sessions that assessed and compared an experimental multiparametric alerting system with a standard monitor telemetry system for subject response, use characteristics, and end-user feedback. A four-patient simulation setup featuring objective metrics for participant task-related performance and response to alarms was developed along with accompanying structured HFE assessment (questionnaire and interview) for monitor systems use testing. Two pilot and four study sessions with individual nurse subjects elicited true alarm and false alarm responses (including diversion from assigned tasks) as well as nonresponses to true alarms. In-simulation observation and subject questionnaires were used to test the experimental system's approach to suppressing false alarms and alerting providers. A novel investigative methodology applied simulation and HFE techniques to replicate and study alarm fatigue in controlled settings for systems assessment and experimental research purposes.

International Expert Consensus Document on Takotsubo Syndrome (Part I): Clinical Characteristics, Diagnostic Criteria, and Pathophysiology.

PubMed

Ghadri, Jelena-Rima; Wittstein, Ilan Shor; Prasad, Abhiram; Sharkey, Scott; Dote, Keigo; Akashi, Yoshihiro John; Cammann, Victoria Lucia; Crea, Filippo; Galiuto, Leonarda; Desmet, Walter; Yoshida, Tetsuro; Manfredini, Roberto; Eitel, Ingo; Kosuge, Masami; Nef, Holger M; Deshmukh, Abhishek; Lerman, Amir; Bossone, Eduardo; Citro, Rodolfo; Ueyama, Takashi; Corrado, Domenico; Kurisu, Satoshi; Ruschitzka, Frank; Winchester, David; Lyon, Alexander R; Omerovic, Elmir; Bax, Jeroen J; Meimoun, Patrick; Tarantini, Guiseppe; Rihal, Charanjit; Y-Hassan, Shams; Migliore, Federico; Horowitz, John D; Shimokawa, Hiroaki; Lüscher, Thomas Felix; Templin, Christian

2018-06-07

Takotsubo syndrome (TTS) is a poorly recognized heart disease that was initially regarded as a benign condition. Recently, it has been shown that TTS may be associated with severe clinical complications including death and that its prevalence is probably underestimated. Since current guidelines on TTS are lacking, it appears timely and important to provide an expert consensus statement on TTS. The clinical expert consensus document part I summarizes the current state of knowledge on clinical presentation and characteristics of TTS and agrees on controversies surrounding TTS such as nomenclature, different TTS types, role of coronary artery disease, and etiology. This consensus also proposes new diagnostic criteria based on current knowledge to improve diagnostic accuracy.

International Expert Consensus Document on Takotsubo Syndrome (Part I): Clinical Characteristics, Diagnostic Criteria, and Pathophysiology

PubMed Central

Ghadri, Jelena-Rima; Wittstein, Ilan Shor; Prasad, Abhiram; Sharkey, Scott; Dote, Keigo; Akashi, Yoshihiro John; Cammann, Victoria Lucia; Crea, Filippo; Galiuto, Leonarda; Desmet, Walter; Yoshida, Tetsuro; Manfredini, Roberto; Eitel, Ingo; Kosuge, Masami; Nef, Holger M; Deshmukh, Abhishek; Lerman, Amir; Bossone, Eduardo; Citro, Rodolfo; Ueyama, Takashi; Corrado, Domenico; Kurisu, Satoshi; Ruschitzka, Frank; Winchester, David; Lyon, Alexander R; Omerovic, Elmir; Bax, Jeroen J; Meimoun, Patrick; Tarantini, Guiseppe; Rihal, Charanjit; Y.-Hassan, Shams; Migliore, Federico; Horowitz, John D; Shimokawa, Hiroaki; Lüscher, Thomas Felix; Templin, Christian

2018-01-01

Abstract Takotsubo syndrome (TTS) is a poorly recognized heart disease that was initially regarded as a benign condition. Recently, it has been shown that TTS may be associated with severe clinical complications including death and that its prevalence is probably underestimated. Since current guidelines on TTS are lacking, it appears timely and important to provide an expert consensus statement on TTS. The clinical expert consensus document part I summarizes the current state of knowledge on clinical presentation and characteristics of TTS and agrees on controversies surrounding TTS such as nomenclature, different TTS types, role of coronary artery disease, and etiology. This consensus also proposes new diagnostic criteria based on current knowledge to improve diagnostic accuracy. PMID:29850871

Non-technical skills for obstetricians conducting forceps and vacuum deliveries: qualitative analysis by interviews and video recordings.

PubMed

Bahl, Rachna; Murphy, Deirdre J; Strachan, Bryony

2010-06-01

Non-technical skills are cognitive and social skills required in an operational task. These skills have been identified and taught in the surgical domain but are of particular relevance to obstetrics where the patient is awake, the partner is present and the clinical circumstances are acute and often stressful. The aim of this study was to define the non-technical skills of an operative vaginal delivery (forceps or vacuum) to facilitate transfer of skills from expert obstetricians to trainee obstetricians. Qualitative study using interviews and video recordings. The study was conducted at two university teaching hospitals (St. Michael's Hospital, Bristol and Ninewells Hospital, Dundee). Participants included 10 obstetricians and eight midwives identified as experts in conducting or supporting operative vaginal deliveries. Semi-structured interviews were carried out using routine clinical scenarios. The experts were also video recorded conducting forceps and vacuum deliveries in a simulation setting. The interviews and video recordings were transcribed verbatim and analysed using thematic coding. The anonymised data were independently coded by the three researchers and then compared for consistency of interpretation. The experts reviewed the coded data for respondent validation and clarification. The themes that emerged were used to identify the non-technical skills required for conducting an operative vaginal delivery. The final skills list was classified into seven main categories. Four categories (situational awareness, decision making, task management, and team work and communication) were similar to the categories identified in surgery. Three further categories unique to obstetrics were also identified (professional relationship with the woman, maintaining professional behaviour and cross-monitoring of performance). This explicitly defined skills taxonomy could aid trainees' understanding of the non-technical skills to be considered when conducting an operative vaginal delivery and potentially reduce morbidity and improve the experience of delivery for the mother. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Using immersive simulation for training first responders for mass casualty incidents.

PubMed

Wilkerson, William; Avstreih, Dan; Gruppen, Larry; Beier, Klaus-Peter; Woolliscroft, James

2008-11-01

A descriptive study was performed to better understand the possible utility of immersive virtual reality simulation for training first responders in a mass casualty event. Utilizing a virtual reality cave automatic virtual environment (CAVE) and high-fidelity human patient simulator (HPS), a group of experts modeled a football stadium that experienced a terrorist explosion during a football game. Avatars (virtual patients) were developed by expert consensus that demonstrated a spectrum of injuries ranging from death to minor lacerations. A group of paramedics was assessed by observation for decisions made and action taken. A critical action checklist was created and used for direct observation and viewing videotaped recordings. Of the 12 participants, only 35.7% identified the type of incident they encountered. None identified a secondary device that was easily visible. All participants were enthusiastic about the simulation and provided valuable comments and insights. Learner feedback and expert performance review suggests that immersive training in a virtual environment has the potential to be a powerful tool to train first responders for high-acuity, low-frequency events, such as a terrorist attack.

[Study on expert system of infrared spectral characteristic of combustible smoke agent].

PubMed

Song, Dong-ming; Guan, Hua; Hou, Wei; Pan, Gong-pei

2009-05-01

The present paper studied the application of expert system in prediction of infrared spectral characteristic of combustible anti-infrared smoke agent. The construction of the expert system was founded, based on the theory of minimum free energy and infrared spectral addition. After the direction of smoke agent was input, the expert system could figure out the final combustion products. Then infrared spectrogram of smoke could also be simulated by adding the spectra of all of the combustion products. Meanwhile, the screening index of smoke was provided in the wave bands of 3-5 im and 8-14 microm. FTIR spectroscope was used to investigate the performance of one kind of HC smoke. The combustion products calculated by the expert system were coincident with the actual data, and the simulant infrared spectrum was also similar to the real one of the smoke. The screening index given by the system was consistent with the known facts. It was showed that a new approach was offered for the fast discrimination of varieties of directions of smoke agent.

The economics of treatment for infants with respiratory distress syndrome.

PubMed

Neil, N; Sullivan, S D; Lessler, D S

1998-01-01

To define clinical outcomes and prevailing patterns of care for the initial hospitalization of infants at greatest risk for respiratory distress syndrome (RDS); to estimate direct medical care costs associated with the initial hospitalization; and to introduce and demonstrate a simulation technique for the economic evaluation of health care technologies. Clinical outcomes and usual-care algorithms were determined for infants with RDS in three birthweight categories (500-1,000g; >1,000-1,500g; and >1,500g) using literature- and expert-panel-based data. The experts were practitioners from major U.S. hospitals who were directly involved in the clinical care of such infants. Using the framework derived from the usual care patterns and outcomes, the authors developed an itemized "micro-costing" economic model to simulate the costs associated with the initial hospitalization of a hypothetical RDS patient. The model is computerized and dynamic; unit costs, frequencies, number of days, probabilities and population multipliers are all variable and can be modified on the basis of new information or local conditions. Aggregated unit costs are used to estimate the expected medical costs of treatment per patient. Expected costs of initial hospitalization per uncomplicated surviving infant with RDS were estimated to be $101,867 for 500-1,000g infants; $64,524 for >1,000-1,500g infants; and $27,224 for >1,500g infants. Incremental costs of complications among survivors were estimated to be $22,155 (500-1,000g); $11,041 (>1,000-1,500g); and $2,448 (>1,500 g). Expected costs of initial hospitalization per case (including non-survivors) were $100,603; $72,353; and $28,756, respectively. An itemized model such as the one developed here serves as a benchmark for the economic assessment of treatment costs and utilization. Moreover, it offers a powerful tool for the prospective evaluation of new technologies or procedures designed to reduce the incidence of, severity of, and/or total hospital resource use ascribed to RDS.

Recommendations on disease management for patients with advanced human epidermal growth factor receptor 2-positive breast cancer and brain metastases: American Society of Clinical Oncology clinical practice guideline.

PubMed

Ramakrishna, Naren; Temin, Sarah; Chandarlapaty, Sarat; Crews, Jennie R; Davidson, Nancy E; Esteva, Francisco J; Giordano, Sharon H; Gonzalez-Angulo, Ana M; Kirshner, Jeffrey J; Krop, Ian; Levinson, Jennifer; Modi, Shanu; Patt, Debra A; Perez, Edith A; Perlmutter, Jane; Winer, Eric P; Lin, Nancy U

2014-07-01

To provide formal expert consensus-based recommendations to practicing oncologists and others on the management of brain metastases for patients with human epidermal growth factor receptor 2 (HER2) -positive advanced breast cancer. The American Society of Clinical Oncology (ASCO) convened a panel of medical oncology, radiation oncology, guideline implementation, and advocacy experts and conducted a systematic review of the literature. When that failed to yield sufficiently strong quality evidence, the Expert Panel undertook a formal expert consensus-based process to produce these recommendations. ASCO used a modified Delphi process. The panel members drafted recommendations, and a group of other experts joined them for two rounds of formal ratings of the recommendations. No studies or existing guidelines met the systematic review criteria; therefore, ASCO conducted a formal expert consensus-based process. Patients with brain metastases should receive appropriate local therapy and systemic therapy, if indicated. Local therapies include surgery, whole-brain radiotherapy, and stereotactic radiosurgery. Treatments depend on factors such as patient prognosis, presence of symptoms, resectability, number and size of metastases, prior therapy, and whether metastases are diffuse. Other options include systemic therapy, best supportive care, enrollment onto a clinical trial, and/or palliative care. Clinicians should not perform routine magnetic resonance imaging (MRI) to screen for brain metastases, but rather should have a low threshold for MRI of the brain because of the high incidence of brain metastases among patients with HER2-positive advanced breast cancer. © 2014 by American Society of Clinical Oncology.

Clinical diagnosis of pneumonia, typical of experts.

PubMed

Miettinen, Olli S; Flegel, Kenneth M; Steurer, Johann

2008-04-01

Clinical diagnosis of pneumonia is a concern when a patient presents with recent cough--new or worsened--together with fever as the chief complaint. Given this presentation, the doctor would benefit from having access to software that specifies, first, what diagnostic indicators experts typically use in that diagnosis; then, upon entry of those facts, what experts' typical probability of pneumonia is in such a case; and finally, how much this probability might change upon adding the facts from chest radiography. We specified a set of 36 hypothetical presentations of this type by patients 20-70 years of age, involving a comprehensive set of clinical-diagnostic indicators. Members of three separate expert panels independently set the probability of pneumonia in each of these cases, and also the range of possible post-radiography probabilities. A logistic function of the diagnostic indicators was fitted to the medians of the probabilities. The median probability of pneumonia was a joint function of the patient's age and current rate of cigarette smoking; history as to the cough's duration, the fever's maximum, dyspnea (including whether on effort only) and rigors; and physical examination as to temperature, signs of upper respiratory infection, prolongation of expiration, dullness on percussion and some auscultation findings. Non-contributory were history of wheezing, pain on inspiration, type of sputum and signs of cold or influenza. This probability function, and the post-radiography functions based on the same indicators, are accessible at http://www.evimed.ch/pneumonia. The expert inputs to clinical diagnosis that were derived and made readily accessible provide for expertly clinical diagnosis of pneumonia, relevant for decisions about radiography and treatment without it.

The State of Simulations: Soft-Skill Simulations Emerge as a Powerful New Form of E-Learning.

ERIC Educational Resources Information Center

Aldrich, Clark

2001-01-01

Presents responses of leaders from six simulation companies about challenges and opportunities of soft-skills simulations in e-learning. Discussion includes: evaluation metrics; role of subject matter experts in developing simulations; video versus computer graphics; technology needed to run simulations; technology breakthroughs; pricing;…

A Simulation Game for the Study of State Policies.

ERIC Educational Resources Information Center

Enzer, Selwyn; And Others

A simulated planning conference used both informed experts (simulating state planners and societal groups) and "Monte Carlo" procedures (simulating random events) to identify some possible futures for the state of Connecticut and to examine rational planning behavior patterns. In the simulation the participants were divided into two…

Clinical and Para Clinical Information Needs of Infertility Electronic Health Records in Iran: A Delphi Study.

PubMed

Farzandipour, Mehrdad; Jeddi, Fateme Rangraz; Gilasi, Hamid Reza; Shirzadi, Diana

2017-09-01

infertility is referred to the person's inability to conceive pregnancy after one year of intercourse without using protection. This study paves the ground for creating a complete, united, and coherent source of patients' medical information. this is an applied research of descriptive-cross sectional type which has been carried out through qualitative - quantitative methods. The sample of the present study was 50 specialists in the field of infertility which has been chosen based on purposive sampling method. Designing the questionnaire was done based on library studies and Gathering experts' views was done based on Delphi technique. 261 items from clinical and Para clinical information of infertile patients' electronic health records were subjected to an opinion poll by experts. During this process 223 items were accepted and 38 items have been rejected after two sessions of surveys by infertility experts. Para clinical information section consisted of 57 items that all of them have been accepted by the experts. Also, clinical information section consisted of 242 items from which 204 items were accepted and 38 items were rejected by the experts. existence of a structured electronic record system of infertile patients' information leads to the integration of patients' information, improvement of health care services and a decrease in treatment costs: all working to increase information safety. Furthermore, only essential and relevant information would be provided for the specialists and it will facilitate and direct the future infertility related studies due to the coherence, unity and relevance of the information.

The roles of deliberate practice and innate ability in developing expertise: evidence and implications.

PubMed

Kulasegaram, Kulamakan M; Grierson, Lawrence E M; Norman, Geoffrey R

2013-10-01

Medical education research focuses extensively on experience and deliberate practice (DP) as key factors in the development of expert performance. The research on DP minimises the role of individual ability in expert performance. This claim ignores a large body of research supporting the importance of innate individual cognitive differences. We review the relationship between DP and an innate individual ability, working memory (WM) capacity, to illustrate how both DP and individual ability predict expert performance. This narrative review examines the relationship between DP and WM in accounting for expert performance. Studies examining DP, WM and individual differences were identified through a targeted search. Although all studies support extensive DP as a factor in explaining expertise, much research suggests individual cognitive differences, such as WM capacity, predict expert performance after controlling for DP. The extent to which this occurs may be influenced by the nature of the task under study and the cognitive processes used by experts. The importance of WM capacity is greater for tasks that are non-routine or functionally complex. Clinical reasoning displays evidence of this task-dependent importance of individual ability. No single factor is both necessary and sufficient in explaining expertise, and individual abilities such as WM can be important. These individual abilities are likely to contribute to expert performance in clinical settings. Medical education research and practice should identify the individual differences in novices and experts that are important to clinical performance. © 2013 John Wiley & Sons Ltd.

Ventricular Assist Devices: Physiology Meets Technology

DTIC Science & Technology

1993-01-01

nmuse’s primary responsbility focuses on the patient . Expert clinical skills plus a thorugh - of the physiology behind VADs are necessary for a nurse...five roles of the CNS to effectively and efficiently manage VAD patients . Expert clinical skills and in-depth knowledge enables the CNS to anticipate

Knowing for Nursing Practice: Patterns of Knowledge and Their Emulation in Expert Systems

PubMed Central

Abraham, Ivo L.; Fitzpatrick, Joyce J.

1987-01-01

This paper addresses the issue of clinical knowledge in nursing, and the feasibility of emulating this knowledge into expert system technology. The perspective on patterns of knowing for nursing practice, advanced by Carper (1978), serves as point of departure. The four patterns of knowing -- empirics, esthetics, ethics, personal knowledge -- are evaluated as to the extent to which they can be emulated in clinical expert systems, given constraints imposed by the current technology of these systems.

[Clinical treatment of children and adolescents with gender dysphoria from international experts' point of view].

PubMed

Rutzen, Katharina M; Nieder, Timo Ole; Schreier, Herbert; Möller, Birgit

2014-01-01

The clinical treatment of children and adolescents with gender dysphoria is still a controversial issue. The aim of this study was to get an overview of the knowledge and experience of international experts and to highlight shared views as well as differences in theoretical convictions and treatment approaches. Half-structured, guide-line based interviews were carried out with international experts in the field. The interviews were analyzed using qualitative content analysis (Mayring, 2010).

Systematic methods for knowledge acquisition and expert system development

NASA Technical Reports Server (NTRS)

Belkin, Brenda L.; Stengel, Robert F.

1991-01-01

Nine cooperating rule-based systems, collectively called AUTOCREW, were designed to automate functions and decisions associated with a combat aircraft's subsystem. The organization of tasks within each system is described; performance metrics were developed to evaluate the workload of each rule base, and to assess the cooperation between the rule-bases. Each AUTOCREW subsystem is composed of several expert systems that perform specific tasks. AUTOCREW's NAVIGATOR was analyzed in detail to understand the difficulties involved in designing the system and to identify tools and methodologies that ease development. The NAVIGATOR determines optimal navigation strategies from a set of available sensors. A Navigation Sensor Management (NSM) expert system was systematically designed from Kalman filter covariance data; four ground-based, a satellite-based, and two on-board INS-aiding sensors were modeled and simulated to aid an INS. The NSM Expert was developed using the Analysis of Variance (ANOVA) and the ID3 algorithm. Navigation strategy selection is based on an RSS position error decision metric, which is computed from the covariance data. Results show that the NSM Expert predicts position error correctly between 45 and 100 percent of the time for a specified navaid configuration and aircraft trajectory. The NSM Expert adapts to new situations, and provides reasonable estimates of hybrid performance. The systematic nature of the ANOVA/ID3 method makes it broadly applicable to expert system design when experimental or simulation data is available.

Horizon 2020 Priorities in Clinical Mental Health Research: Results of a Consensus-Based ROAMER Expert Survey

PubMed Central

Elfeddali, Iman; van der Feltz-Cornelis, Christina M.; van Os, Jim; Knappe, Susanne; Vieta, Eduard; Wittchen, Hans-Ulrich; Obradors-Tarragó, Carla; Haro, Josep Maria

2014-01-01

Within the ROAMER project, which aims to provide a Roadmap for Mental Health Research in Europe, a two-stage Delphi survey among 86 European experts was conducted in order to identify research priorities in clinical mental health research. Expert consensus existed with regard to the importance of three challenges in the field of clinical mental health research: (1) the development of new, safe and effective interventions for mental disorders; (2) understanding the mechanisms of disease in order to be able to develop such new interventions; and (3) defining outcomes (an improved set of outcomes, including alternative outcomes) to use for clinical mental health research evaluation. Proposed actions involved increasing the utilization of tailored approaches (personalized medicine), developing blended eHealth/mHealth decision aids/guidance tools that help the clinician to choose between various treatment modalities, developing specific treatments in order to better target comorbidity and (further) development of biological, psychological and psychopharmacological interventions. The experts indicated that addressing these priorities will result in increased efficacy and impact across Europe; with a high probability of success, given that Europe has important strengths, such as skilled academics and a long research history. Finally, the experts stressed the importance of creating funding and coordinated networking as essential action needed in order to target the variety of challenges in clinical mental health research. PMID:25337940

CE: Original Research: Creating an Evidence-Based Progression for Clinical Advancement Programs.

PubMed

Burke, Kathleen G; Johnson, Tonya; Sites, Christine; Barnsteiner, Jane

2017-05-01

: Background: The Institute of Medicine (IOM) and the Quality and Safety Education for Nurses (QSEN) project have identified six nursing competencies and supported their integration into undergraduate and graduate nursing curricula nationwide. But integration of those competencies into clinical practice has been limited, and evidence for the progression of competency proficiency within clinical advancement programs is scant. Using an evidence-based approach and building on the competencies identified by the IOM and QSEN, a team of experts at an academic health system developed eight competency domains and 186 related knowledge, skills, and attitudes (KSAs) for professional nursing practice. The aim of our study was to validate the eight identified competencies and 186 related KSAs and determine their developmental progression within a clinical advancement program. Using the Delphi technique, nursing leadership validated the newly identified competency domains and KSAs as essential to practice. Clinical experts from 13 Magnet-designated hospitals with clinical advancement programs then participated in Delphi rounds aimed at reaching consensus on the developmental progression of the 186 KSAs through four levels of clinical advancement. Two Delphi rounds resulted in consensus by the expert participants. All eight competency domains were determined to be essential at all four levels of clinical practice. At the novice level of practice, the experts identified a greater number of KSAs in the domains of safety and patient- and family-centered care. At more advanced practice levels, the experts identified a greater number of KSAs in the domains of professionalism, teamwork, technology and informatics, and continuous quality improvement. Incorporating the eight competency domains and the 186 KSAs into a framework for clinical advancement programs will likely result in more clearly defined role expectations; enhance accountability; and elevate and promote nursing practice, thereby improving clinical outcomes and quality of care. With their emphasis on quality and safety, the eight competency domains also offer a framework for enhancing position descriptions, performance evaluations, clinical recognition, initial and ongoing competency assessment programs, and orientation and residency programs.

Expert searcher, teacher, content manager, and patient advocate: an exploratory study of clinical librarian roles

PubMed Central

Tan, Maria C.; Maggio, Lauren A.

2013-01-01

Objective: The research explored the roles of practicing clinical librarians embedded in a patient care team. Methods: Six clinical librarians from Canada and one from the United States were interviewed to elicit detailed descriptions of their clinical roles and responsibilities and the context in which these were performed. Results: Participants were embedded in a wide range of clinical service areas, working with a diverse complement of health professionals. As clinical librarians, participants wore many hats, including expert searcher, teacher, content manager, and patient advocate. Unique aspects of how these roles played out included a sense of urgency surrounding searching activities, the broad dissemination of responses to clinical questions, and leverage of the roles of expert searcher, teacher, and content manager to advocate for patients. Conclusions: Detailed role descriptions of clinical librarians embedded in patient care teams suggest possible new practices for existing clinical librarians, provide direction for training new librarians working in patient care environments, and raise awareness of the clinical librarian specialty among current and budding health information professionals. PMID:23405048

An 802.11 n wireless local area network transmission scheme for wireless telemedicine applications.

PubMed

Lin, C F; Hung, S I; Chiang, I H

2010-10-01

In this paper, an 802.11 n transmission scheme is proposed for wireless telemedicine applications. IEEE 802.11n standards, a power assignment strategy, space-time block coding (STBC), and an object composition Petri net (OCPN) model are adopted. With the proposed wireless system, G.729 audio bit streams, Joint Photographic Experts Group 2000 (JPEG 2000) clinical images, and Moving Picture Experts Group 4 (MPEG-4) video bit streams achieve a transmission bit error rate (BER) of 10-7, 10-4, and 103 simultaneously. The proposed system meets the requirements prescribed for wireless telemedicine applications. An essential feature of this proposed transmission scheme is that clinical information that requires a high quality of service (QoS) is transmitted at a high power transmission rate with significant error protection. For maximizing resource utilization and minimizing the total transmission power, STBC and adaptive modulation techniques are used in the proposed 802.11 n wireless telemedicine system. Further, low power, direct mapping (DM), low-error protection scheme, and high-level modulation are adopted for messages that can tolerate a high BER. With the proposed transmission scheme, the required reliability of communication can be achieved. Our simulation results have shown that the proposed 802.11 n transmission scheme can be used for developing effective wireless telemedicine systems.

Prediction of Fitness to Drive in Patients with Alzheimer's Dementia

PubMed Central

Piersma, Dafne; Fuermaier, Anselm B. M.; de Waard, Dick; Davidse, Ragnhild J.; de Groot, Jolieke; Doumen, Michelle J. A.; Bredewoud, Ruud A.; Claesen, René; Lemstra, Afina W.; Vermeeren, Annemiek; Ponds, Rudolf; Verhey, Frans; Brouwer, Wiebo H.; Tucha, Oliver

2016-01-01

The number of patients with Alzheimer’s disease (AD) is increasing and so is the number of patients driving a car. To enable patients to retain their mobility while at the same time not endangering public safety, each patient should be assessed for fitness to drive. The aim of this study is to develop a method to assess fitness to drive in a clinical setting, using three types of assessments, i.e. clinical interviews, neuropsychological assessment and driving simulator rides. The goals are (1) to determine for each type of assessment which combination of measures is most predictive for on-road driving performance, (2) to compare the predictive value of clinical interviews, neuropsychological assessment and driving simulator evaluation and (3) to determine which combination of these assessments provides the best prediction of fitness to drive. Eighty-one patients with AD and 45 healthy individuals participated. All participated in a clinical interview, and were administered a neuropsychological test battery and a driving simulator ride (predictors). The criterion fitness to drive was determined in an on-road driving assessment by experts of the CBR Dutch driving test organisation according to their official protocol. The validity of the predictors to determine fitness to drive was explored by means of logistic regression analyses, discriminant function analyses, as well as receiver operating curve analyses. We found that all three types of assessments are predictive of on-road driving performance. Neuropsychological assessment had the highest classification accuracy followed by driving simulator rides and clinical interviews. However, combining all three types of assessments yielded the best prediction for fitness to drive in patients with AD with an overall accuracy of 92.7%, which makes this method highly valid for assessing fitness to drive in AD. This method may be used to advise patients with AD and their family members about fitness to drive. PMID:26910535

Hemispheric Activation Differences in Novice and Expert Clinicians during Clinical Decision Making

ERIC Educational Resources Information Center

Hruska, Pam; Hecker, Kent G.; Coderre, Sylvain; McLaughlin, Kevin; Cortese, Filomeno; Doig, Christopher; Beran, Tanya; Wright, Bruce; Krigolson, Olav

2016-01-01

Clinical decision making requires knowledge, experience and analytical/non-analytical types of decision processes. As clinicians progress from novice to expert, research indicates decision-making becomes less reliant on foundational biomedical knowledge and more on previous experience. In this study, we investigated how knowledge and experience…

Neural basis of nonanalytical reasoning expertise during clinical evaluation.

PubMed

Durning, Steven J; Costanzo, Michelle E; Artino, Anthony R; Graner, John; van der Vleuten, Cees; Beckman, Thomas J; Wittich, Christopher M; Roy, Michael J; Holmboe, Eric S; Schuwirth, Lambert

2015-03-01

Understanding clinical reasoning is essential for patient care and medical education. Dual-processing theory suggests that nonanalytic reasoning is an essential aspect of expertise; however, assessing nonanalytic reasoning is challenging because it is believed to occur on the subconscious level. This assumption makes concurrent verbal protocols less reliable assessment tools. Functional magnetic resonance imaging was used to explore the neural basis of nonanalytic reasoning in internal medicine interns (novices) and board-certified staff internists (experts) while completing United States Medical Licensing Examination and American Board of Internal Medicine multiple-choice questions. The results demonstrated that novices and experts share a common neural network in addition to nonoverlapping neural resources. However, experts manifested greater neural processing efficiency in regions such as the prefrontal cortex during nonanalytical reasoning. These findings reveal a multinetwork system that supports the dual-process mode of expert clinical reasoning during medical evaluation.

Experts' Views Regarding the Conceptualization of Narcissism.

PubMed

Ackerman, Robert A; Hands, Aaron J; Donnellan, M Brent; Hopwood, Christopher J; Witt, Edward A

2017-06-01

There is debate over the definition of narcissism across social/personality and clinical psychology. The current article aims to quantify the level of disagreement by measuring experts' opinions concerning the attributes most central to narcissism. Accordingly, we developed a comprehensive list of attributes associated with narcissism and had 49 self-identified experts (among them 17 women, 23 psychologists from clinical psychology and 22 from social/personality psychology) rate these characteristics and provide their opinions on several issues related to the conceptualization of narcissism. Experts generally believe that the grandiose features of narcissism are more central than the vulnerable features. However, differences between clinical and social/personality psychologists were evident, especially regarding the relevance of self-esteem. Given the results, we suggest that researchers specify the kind of narcissism being assessed in a given study and consider using assessments of the full range of narcissistic features in future research to provide a more comprehensive perspective on the construct.

[Medical expert consensus in AH on the clinical use of triple fixed-dose antihypertensive therapy in Spain].

PubMed

Mazón, P; Galve, E; Gómez, J; Gorostidi, M; Górriz, J L; Mediavilla, J D

The opinion of experts (different specialties) on the triple fixed-dose antihypertensive therapy in clinical practice may differ. Online questionnaire with controversial aspects of the triple therapy answered by panel of experts in hypertension (HT) using two-round modified Delphi method. The questionnaire was completed by 158 experts: Internal Medicine (49), Nephrology (26), Cardiology (83). Consensus was reached (agreement) on 27/45 items (60%); 7 items showed differences statistically significant. Consensus was reached regarding: Predictive factors in the need for combination therapy and its efficacy vs. increasing the dose of a pretreatment, and advantage of triple therapy (prescription/adherence/cost/pressure control) vs. free combination. This consensus provides an overview of the clinical use of triple therapy in moderate-severe and resistant/difficult to control HT. Copyright © 2016 SEH-LELHA. Publicado por Elsevier España, S.L.U. All rights reserved.

Computers Simulate Human Experts.

ERIC Educational Resources Information Center

Roberts, Steven K.

1983-01-01

Discusses recent progress in artificial intelligence in such narrowly defined areas as medical and electronic diagnosis. Also discusses use of expert systems, man-machine communication problems, novel programing environments (including comments on LISP and LISP machines), and types of knowledge used (factual, heuristic, and meta-knowledge). (JN)

Expert systems in clinical microbiology.

PubMed

Winstanley, Trevor; Courvalin, Patrice

2011-07-01

This review aims to discuss expert systems in general and how they may be used in medicine as a whole and clinical microbiology in particular (with the aid of interpretive reading). It considers rule-based systems, pattern-based systems, and data mining and introduces neural nets. A variety of noncommercial systems is described, and the central role played by the EUCAST is stressed. The need for expert rules in the environment of reset EUCAST breakpoints is also questioned. Commercial automated systems with on-board expert systems are considered, with emphasis being placed on the "big three": Vitek 2, BD Phoenix, and MicroScan. By necessity and in places, the review becomes a general review of automated system performances for the detection of specific resistance mechanisms rather than focusing solely on expert systems. Published performance evaluations of each system are drawn together and commented on critically.

Measuring elimination of podoconiosis, endemicity classifications, case definition and targets: an international Delphi exercise.

PubMed

Deribe, Kebede; Wanji, Samuel; Shafi, Oumer; Muheki Tukahebwa, Edridah; Umulisa, Irenee; Davey, Gail

2015-09-01

Podoconiosis is one of the major causes of lymphoedema in the tropics. Nonetheless, currently there are no endemicity classifications or elimination targets to monitor the effects of interventions. This study aimed at establishing case definitions and indicators that can be used to assess endemicity, elimination and clinical outcomes of podoconiosis. This paper describes the result of a Delphi technique used among 28 experts. A questionnaire outlining possible case definitions, endemicity classifications, elimination targets and clinical outcomes was developed. The questionnaire was distributed to experts working on podoconiosis and other neglected tropical diseases in two rounds. The experts rated the importance of case definitions, endemic classifications, elimination targets and the clinical outcome measures. Median and mode were used to describe the central tendency of expert responses. The coefficient of variation was used to describe the dispersals of expert responses. Consensus on definitions and indicators for assessing endemicity, elimination and clinical outcomes of podoconiosis directed at policy makers and health workers was achieved following the two rounds of Delphi approach among the experts. Based on the two Delphi rounds we discuss potential indicators and endemicity classification of this disabling disease, and the ongoing challenges to its elimination in countries with the highest prevalence. Consensus will help to increase effectiveness of podoconiosis elimination efforts and ensure comparability of outcome data. © The Author 2015. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

Validation of a Novel Laparoscopic Adjustable Gastric Band Simulator

PubMed Central

Sankaranarayanan, Ganesh; Adair, James D.; Halic, Tansel; Gromski, Mark A.; Lu, Zhonghua; Ahn, Woojin; Jones, Daniel B.; De, Suvranu

2011-01-01

Background Morbid obesity accounts for more than 90,000 deaths per year in the United States. Laparoscopic adjustable gastric banding (LAGB) is the second most common weight loss procedure performed in the US and the most common in Europe and Australia. Simulation in surgical training is a rapidly advancing field that has been adopted by many to prepare surgeons for surgical techniques and procedures. Study Aim The aim of our study was to determine face, construct and content validity for a novel virtual reality laparoscopic adjustable gastric band simulator. Methods Twenty-eight subjects were categorized into two groups (Expert and Novice), determined by their skill level in laparoscopic surgery. Experts consisted of subjects who had at least four years of laparoscopic training and operative experience. Novices consisted of subjects with medical training, but with less than four years of laparoscopic training. The subjects performed the virtual reality laparoscopic adjustable band surgery simulator. They were automatically scored, according to various tasks. The subjects then completed a questionnaire to evaluate face and content validity. Results On a 5-point Likert scale (1 – lowest score, 5 – highest score), the mean score for visual realism was 4.00 ± 0.67 and the mean score for realism of the interface and tool movements was 4.07 ± 0.77 [Face Validity]. There were significant differences in the performance of the two subject groups (Expert and Novice), based on total scores (p<0.001) [Construct Validity]. Mean scores for utility of the simulator, as addressed by the Expert group, was 4.50 ± 0.71 [Content Validity]. Conclusion We created a virtual reality laparoscopic adjustable gastric band simulator. Our initial results demonstrate excellent face, construct and content validity findings. To our knowledge, this is the first virtual reality simulator with haptic feedback for training residents and surgeons in the laparoscopic adjustable gastric banding procedure. PMID:20734069

Validation of a novel laparoscopic adjustable gastric band simulator.

PubMed

Sankaranarayanan, Ganesh; Adair, James D; Halic, Tansel; Gromski, Mark A; Lu, Zhonghua; Ahn, Woojin; Jones, Daniel B; De, Suvranu

2011-04-01

Morbid obesity accounts for more than 90,000 deaths per year in the United States. Laparoscopic adjustable gastric banding (LAGB) is the second most common weight loss procedure performed in the US and the most common in Europe and Australia. Simulation in surgical training is a rapidly advancing field that has been adopted by many to prepare surgeons for surgical techniques and procedures. The aim of our study was to determine face, construct, and content validity for a novel virtual reality laparoscopic adjustable gastric band simulator. Twenty-eight subjects were categorized into two groups (expert and novice), determined by their skill level in laparoscopic surgery. Experts consisted of subjects who had at least 4 years of laparoscopic training and operative experience. Novices consisted of subjects with medical training but with less than 4 years of laparoscopic training. The subjects used the virtual reality laparoscopic adjustable band surgery simulator. They were automatically scored according to various tasks. The subjects then completed a questionnaire to evaluate face and content validity. On a 5-point Likert scale (1 = lowest score, 5 = highest score), the mean score for visual realism was 4.00 ± 0.67 and the mean score for realism of the interface and tool movements was 4.07 ± 0.77 (face validity). There were significant differences in the performances of the two subject groups (expert and novice) based on total scores (p < 0.001) (construct validity). Mean score for utility of the simulator, as addressed by the expert group, was 4.50 ± 0.71 (content validity). We created a virtual reality laparoscopic adjustable gastric band simulator. Our initial results demonstrate excellent face, construct, and content validity findings. To our knowledge, this is the first virtual reality simulator with haptic feedback for training residents and surgeons in the laparoscopic adjustable gastric banding procedure.

Toward a better integration of roughness in rockfall simulations - a sensitivity study with the RockyFor3D model

NASA Astrophysics Data System (ADS)

Monnet, Jean-Matthieu; Bourrier, Franck; Milenkovic, Milutin

2017-04-01

Advances in numerical simulation and analysis of real-size field experiments have supported the development of process-based rockfall simulation models. Availability of high resolution remote sensing data and high-performance computing now make it possible to implement them for operational applications, e.g. risk zoning and protection structure design. One key parameter regarding rock propagation is the surface roughness, sometimes defined as the variation in height perpendicular to the slope (Pfeiffer and Bowen, 1989). Roughness-related input parameters for rockfall models are usually determined by experts on the field. In the RockyFor3D model (Dorren, 2015), three values related to the distribution of obstacles (deposited rocks, stumps, fallen trees,... as seen from the incoming rock) relatively to the average slope are estimated. The use of high resolution digital terrain models (DTMs) questions both the scale usually adopted by experts for roughness assessment and the relevance of modeling hypotheses regarding the rock / ground interaction. Indeed, experts interpret the surrounding terrain as obstacles or ground depending on the overall visibility and on the nature of objects. Digital models represent the terrain with a certain amount of smoothing, depending on the sensor capacities. Besides, the rock rebound on the ground is modeled by changes in the velocities of the gravity center of the block due to impact. Thus, the use of a DTM with resolution smaller than the block size might have little relevance while increasing computational burden. The objective of this work is to investigate the issue of scale relevance with simulations based on RockyFor3D in order to derive guidelines for roughness estimation by field experts. First a sensitivity analysis is performed to identify the combinations of parameters (slope, soil roughness parameter, rock size) where the roughness values have a critical effect on rock propagation on a regular hillside. Second, a more complex hillside is simulated by combining three components: a) a global trend (planar surface), b) local systematic components (sine waves), c) random roughness (Gaussian, zero-mean noise). The parameters for simulating these components are estimated for three typical scenarios of rockfall terrains: soft soil, fine scree and coarse scree, based on expert knowledge and available airborne and terrestrial laser scanning data. For each scenario, the reference terrain is created and used to compute input data for RockyFor3D simulations at different scales, i.e. DTMs with resolutions from 0.5 m to 20 m and associated roughness parameters. Subsequent analysis mainly focuses on the sensitivity of simulations both in terms of run-out envelope and kinetic energy distribution. Guidelines drawn from the results are expected to help experts handle the scale issue while integrating remote sensing data and field measurements of roughness in rockfall simulations.

Plus disease in retinopathy of prematurity: a continuous spectrum of vascular abnormality as basis of diagnostic variability

PubMed Central

Campbell, J. Peter; Kalpathy-Cramer, Jayashree; Erdogmus, Deniz; Tian, Peng; Kedarisetti, Dharanish; Moleta, Chace; Reynolds, James D.; Hutcheson, Kelly; Shapiro, Michael J.; Repka, Michael X.; Ferrone, Philip; Drenser, Kimberly; Horowitz, Jason; Sonmez, Kemal; Swan, Ryan; Ostmo, Susan; Jonas, Karyn E.; Chan, R.V. Paul; Chiang, Michael F.

2016-01-01

Objective To identify patterns of inter-expert discrepancy in plus disease diagnosis in retinopathy of prematurity (ROP). Design We developed two datasets of clinical images of varying disease severity (100 images and 34 images) as part of the Imaging and Informatics in ROP study, and determined a consensus reference standard diagnosis (RSD) for each image, based on 3 independent image graders and the clinical exam. We recruited 8 expert ROP clinicians to classify these images and compared the distribution of classifications between experts and the RSD. Subjects, Participants, and/or Controls Images obtained during routine ROP screening in neonatal intensive care units. 8 participating experts with >10 years of clinical ROP experience and >5 peer-reviewed ROP publications. Methods, Intervention, or Testing Expert classification of images of plus disease in ROP. Main Outcome Measures Inter-expert agreement (weighted kappa statistic), and agreement and bias on ordinal classification between experts (ANOVA) and the RSD (percent agreement). Results There was variable inter-expert agreement on diagnostic classifications between the 8 experts and the RSD (weighted kappa 0 – 0.75, mean 0.30). RSD agreement ranged from 80 – 94% agreement for the dataset of 100 images, and 29 – 79% for the dataset of 34 images. However, when images were ranked in order of disease severity (by average expert classification), the pattern of expert classification revealed a consistent systematic bias for each expert consistent with unique cut points for the diagnosis of plus disease and pre-plus disease. The two-way ANOVA model suggested a highly significant effect of both image and user on the average score (P<0.05, adjusted R2=0.82 for dataset A, and P< 0.05 and adjusted R2 =0.6615 for dataset B). Conclusions and Relevance There is wide variability in the classification of plus disease by ROP experts, which occurs because experts have different “cut-points” for the amounts of vascular abnormality required for presence of plus and pre-plus disease. This has important implications for research, teaching and patient care for ROP, and suggests that a continuous ROP plus disease severity score may more accurately reflect the behavior of expert ROP clinicians, and may better standardize classification in the future. PMID:27591053

Evaluation of a Simpler Tool to Assess Nontechnical Skills During Simulated Critical Events.

PubMed

Watkins, Scott C; Roberts, David A; Boulet, John R; McEvoy, Matthew D; Weinger, Matthew B

2017-04-01

Management of critical events requires teams to employ nontechnical skills (NTS), such as teamwork, communication, decision making, and vigilance. We sought to estimate the reliability and provide evidence for the validity of the ratings gathered using a new tool for assessing the NTS of anesthesia providers, the behaviorally anchored rating scale (BARS), and compare its scores with those of an established NTS tool, the Anaesthetists' Nontechnical Skills (ANTS) scale. Six previously trained raters (4 novices and 2 experts) reviewed and scored 18 recorded simulated pediatric crisis management scenarios using a modified ANTS and a BARS tool. Pearson correlation coefficients were calculated separately for the novice and expert raters, by scenario, and overall. The intrarater reliability of the ANTS total score was 0.73 (expert, 0.57; novice, 0.84); for the BARS tool, it was 0.80 (expert, 0.79; novice, 0.81). The average interrater reliability of BARS scores (0.58) was better than ANTS scores (0.37), and the interrater reliabilities of scores from novices (0.69 BARS and 0.52 ANTS) were better than those obtained from experts (0.47 BARS and 0.21 ANTS) for both scoring instruments. The Pearson correlation between the ANTS and BARS total scores was 0.74. Overall, reliability estimates were better for the BARS scores than the ANTS scores. For both measures, the intrarater and interrater reliability was better for novices compared with domain experts, suggesting that properly trained novices can reliably assess the NTS of anesthesia providers managing a simulated critical event. There was substantial correlation between the 2 scoring instruments, suggesting that the tools measured similar constructs. The BARS tool can be an alternative to the ANTS scale for the formative assessment of NTS of anesthesia providers.

Image-based reconstruction of three-dimensional myocardial infarct geometry for patient-specific modeling of cardiac electrophysiology

PubMed Central

Ukwatta, Eranga; Arevalo, Hermenegild; Rajchl, Martin; White, James; Pashakhanloo, Farhad; Prakosa, Adityo; Herzka, Daniel A.; McVeigh, Elliot; Lardo, Albert C.; Trayanova, Natalia A.; Vadakkumpadan, Fijoy

2015-01-01

Purpose: Accurate three-dimensional (3D) reconstruction of myocardial infarct geometry is crucial to patient-specific modeling of the heart aimed at providing therapeutic guidance in ischemic cardiomyopathy. However, myocardial infarct imaging is clinically performed using two-dimensional (2D) late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) techniques, and a method to build accurate 3D infarct reconstructions from the 2D LGE-CMR images has been lacking. The purpose of this study was to address this need. Methods: The authors developed a novel methodology to reconstruct 3D infarct geometry from segmented low-resolution (Lo-res) clinical LGE-CMR images. Their methodology employed the so-called logarithm of odds (LogOdds) function to implicitly represent the shape of the infarct in segmented image slices as LogOdds maps. These 2D maps were then interpolated into a 3D image, and the result transformed via the inverse of LogOdds to a binary image representing the 3D infarct geometry. To assess the efficacy of this method, the authors utilized 39 high-resolution (Hi-res) LGE-CMR images, including 36 in vivo acquisitions of human subjects with prior myocardial infarction and 3 ex vivo scans of canine hearts following coronary ligation to induce infarction. The infarct was manually segmented by trained experts in each slice of the Hi-res images, and the segmented data were downsampled to typical clinical resolution. The proposed method was then used to reconstruct 3D infarct geometry from the downsampled images, and the resulting reconstructions were compared with the manually segmented data. The method was extensively evaluated using metrics based on geometry as well as results of electrophysiological simulations of cardiac sinus rhythm and ventricular tachycardia in individual hearts. Several alternative reconstruction techniques were also implemented and compared with the proposed method. Results: The accuracy of the LogOdds method in reconstructing 3D infarct geometry, as measured by the Dice similarity coefficient, was 82.10% ± 6.58%, a significantly higher value than those of the alternative reconstruction methods. Among outcomes of electrophysiological simulations with infarct reconstructions generated by various methods, the simulation results corresponding to the LogOdds method showed the smallest deviation from those corresponding to the manual reconstructions, as measured by metrics based on both activation maps and pseudo-ECGs. Conclusions: The authors have developed a novel method for reconstructing 3D infarct geometry from segmented slices of Lo-res clinical 2D LGE-CMR images. This method outperformed alternative approaches in reproducing expert manual 3D reconstructions and in electrophysiological simulations. PMID:26233186

Image-based reconstruction of three-dimensional myocardial infarct geometry for patient-specific modeling of cardiac electrophysiology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ukwatta, Eranga, E-mail: eukwatt1@jhu.edu; Arevalo, Hermenegild; Pashakhanloo, Farhad

Purpose: Accurate three-dimensional (3D) reconstruction of myocardial infarct geometry is crucial to patient-specific modeling of the heart aimed at providing therapeutic guidance in ischemic cardiomyopathy. However, myocardial infarct imaging is clinically performed using two-dimensional (2D) late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) techniques, and a method to build accurate 3D infarct reconstructions from the 2D LGE-CMR images has been lacking. The purpose of this study was to address this need. Methods: The authors developed a novel methodology to reconstruct 3D infarct geometry from segmented low-resolution (Lo-res) clinical LGE-CMR images. Their methodology employed the so-called logarithm of odds (LogOdds) function to implicitlymore » represent the shape of the infarct in segmented image slices as LogOdds maps. These 2D maps were then interpolated into a 3D image, and the result transformed via the inverse of LogOdds to a binary image representing the 3D infarct geometry. To assess the efficacy of this method, the authors utilized 39 high-resolution (Hi-res) LGE-CMR images, including 36 in vivo acquisitions of human subjects with prior myocardial infarction and 3 ex vivo scans of canine hearts following coronary ligation to induce infarction. The infarct was manually segmented by trained experts in each slice of the Hi-res images, and the segmented data were downsampled to typical clinical resolution. The proposed method was then used to reconstruct 3D infarct geometry from the downsampled images, and the resulting reconstructions were compared with the manually segmented data. The method was extensively evaluated using metrics based on geometry as well as results of electrophysiological simulations of cardiac sinus rhythm and ventricular tachycardia in individual hearts. Several alternative reconstruction techniques were also implemented and compared with the proposed method. Results: The accuracy of the LogOdds method in reconstructing 3D infarct geometry, as measured by the Dice similarity coefficient, was 82.10% ± 6.58%, a significantly higher value than those of the alternative reconstruction methods. Among outcomes of electrophysiological simulations with infarct reconstructions generated by various methods, the simulation results corresponding to the LogOdds method showed the smallest deviation from those corresponding to the manual reconstructions, as measured by metrics based on both activation maps and pseudo-ECGs. Conclusions: The authors have developed a novel method for reconstructing 3D infarct geometry from segmented slices of Lo-res clinical 2D LGE-CMR images. This method outperformed alternative approaches in reproducing expert manual 3D reconstructions and in electrophysiological simulations.« less

Conceptual FOM design tool

NASA Astrophysics Data System (ADS)

Krause, Lee S.; Burns, Carla L.

2000-06-01

This paper discusses the research currently in progress to develop the Conceptual Federation Object Model Design Tool. The objective of the Conceptual FOM (C-FOM) Design Tool effort is to provide domain and subject matter experts, such as scenario developers, with automated support for understanding and utilizing available HLA simulation and other simulation assets during HLA Federation development. The C-FOM Design Tool will import Simulation Object Models from HLA reuse repositories, such as the MSSR, to populate the domain space that will contain all the objects and their supported interactions. In addition, the C-FOM tool will support the conversion of non-HLA legacy models into HLA- compliant models by applying proven abstraction techniques against the legacy models. Domain experts will be able to build scenarios based on the domain objects and interactions in both a text and graphical form and export a minimal FOM. The ability for domain and subject matter experts to effectively access HLA and non-HLA assets is critical to the long-term acceptance of the HLA initiative.

Initial Development of C.A.T.E.S.: A Simulation-Based Competency Assessment Instrument for Neonatal Nurse Practitioners.

PubMed

Cates, Leigh Ann; Bishop, Sheryl; Armentrout, Debra; Verklan, Terese; Arnold, Jennifer; Doughty, Cara

2015-01-01

Determine content validity of global statements and operational definitions and choose scenarios for Competency, Assessment, Technology, Education, and Simulation (C.A.T.E.S.), instrument in development to evaluate multidimensional competency of neonatal nurse practitioners (NNPs). Real-time Delphi (RTD) method to pursue four specific aims (SAs): (1) identify which cognitive, technical, or behavioral dimension of NNP competency accurately reflects each global statement; (2) map the global statements to the National Association of Neonatal Nurse Practitioners (NANNP) core competency domains; (3) define operational definitions for the novice to expert performance subscales; and (4) determine the essential scenarios to assess NNPs. Twenty-five NNPs and nurses with competency and simulation experience Main outcome variable: One hundred percent of global statements correct for competency dimension and all but two correct for NANNP domain. One hundred percent novice to expert operational definitions and eight scenarios chosen. Content validity determined for global statements and novice to expert definitions and essential scenarios chosen.

Validation of the ArthroS virtual reality simulator for arthroscopic skills.

PubMed

Stunt, J J; Kerkhoffs, G M M J; van Dijk, C N; Tuijthof, G J M

2015-11-01

Virtual reality simulator training has become important for acquiring arthroscopic skills. A new simulator for knee arthroscopy ArthroS™ has been developed. The purpose of this study was to demonstrate face and construct validity, executed according to a protocol used previously to validate arthroscopic simulators. Twenty-seven participants were divided into three groups having different levels of arthroscopic experience. Participants answered questions regarding general information and the outer appearance of the simulator for face validity. Construct validity was assessed with one standardized navigation task. Face validity, educational value and user friendliness were further determined by giving participants three exercises and by asking them to fill out the questionnaire. Construct validity was demonstrated between experts and beginners. Median task times were not significantly different for all repetitions between novices and intermediates, and between intermediates and experts. Median face validity was 8.3 for the outer appearance, 6.5 for the intra-articular joint and 4.7 for surgical instruments. Educational value and user friendliness were perceived as nonsatisfactory, especially because of the lack of tactile feedback. The ArthroS™ demonstrated construct validity between novices and experts, but did not demonstrate full face validity. Future improvements should be mainly focused on the development of tactile feedback. It is necessary that a newly presented simulator is validated to prove it actually contributes to proficiency of skills.

Using a virtual reality temporal bone simulator to assess otolaryngology trainees.

PubMed

Zirkle, Molly; Roberson, David W; Leuwer, Rudolf; Dubrowski, Adam

2007-02-01

The objective of this study is to determine the feasibility of computerized evaluation of resident performance using hand motion analysis on a virtual reality temporal bone (VR TB) simulator. We hypothesized that both computerized analysis and expert ratings would discriminate the performance of novices from experienced trainees. We also hypothesized that performance on the virtual reality temporal bone simulator (VR TB) would differentiate based on previous drilling experience. The authors conducted a randomized, blind assessment study. Nineteen volunteers from the Otolaryngology-Head and Neck Surgery training program at the University of Toronto drilled both a cadaveric TB and a simulated VR TB. Expert reviewers were asked to assess operative readiness of the trainee based on a blind video review of their performance. Computerized hand motion analysis of each participant's performance was conducted. Expert raters were able to discriminate novices from experienced trainees (P < .05) on cadaveric temporal bones, and there was a trend toward discrimination on VR TB performance. Hand motion analysis showed that experienced trainees had better movement economy than novices (P < .05) on the VR TB. Performance, as measured by hand motion analysis on the VR TB simulator, reflects trainees' previous drilling experience. This study suggests that otolaryngology trainees could accomplish initial temporal bone training on a VR TB simulator, which can provide feedback to the trainee, and may reduce the need for constant faculty supervision and evaluation.

Validation of the da Vinci Surgical Skill Simulator across three surgical disciplines: A pilot study

PubMed Central

Alzahrani, Tarek; Haddad, Richard; Alkhayal, Abdullah; Delisle, Josée; Drudi, Laura; Gotlieb, Walter; Fraser, Shannon; Bergman, Simon; Bladou, Frank; Andonian, Sero; Anidjar, Maurice

2013-01-01

Objective: In this paper, we evaluate face, content and construct validity of the da Vinci Surgical Skills Simulator (dVSSS) across 3 surgical disciplines. Methods: In total, 48 participants from urology, gynecology and general surgery participated in the study as novices (0 robotic cases performed), intermediates (1–74) or experts (≥75). Each participant completed 9 tasks (Peg board level 2, match board level 2, needle targeting, ring and rail level 2, dots and needles level 1, suture sponge level 2, energy dissection level 1, ring walk level 3 and tubes). The Mimic Technologies software scored each task from 0 (worst) to 100 (best) using several predetermined metrics. Face and content validity were evaluated by a questionnaire administered after task completion. Wilcoxon test was used to perform pair wise comparisons. Results: The expert group comprised of 6 attending surgeons. The intermediate group included 4 attending surgeons, 3 fellows and 5 residents. The novices included 1 attending surgeon, 1 fellow, 13 residents, 13 medical students and 2 research assistants. The median number of robotic cases performed by experts and intermediates were 250 and 9, respectively. The median overall realistic score (face validity) was 8/10. Experts rated the usefulness of the simulator as a training tool for residents (content validity) as 8.5/10. For construct validity, experts outperformed novices in all 9 tasks (p < 0.05). Intermediates outperformed novices in 7 of 9 tasks (p < 0.05); there were no significant differences in the energy dissection and ring walk tasks. Finally, experts scored significantly better than intermediates in only 3 of 9 tasks (matchboard, dots and needles and energy dissection) (p < 0.05). Conclusions: This study confirms the face, content and construct validities of the dVSSS across urology, gynecology and general surgery. Larger sample size and more complex tasks are needed to further differentiate intermediates from experts. PMID:23914275

Consensus-recommended diagnostic and therapeutic guidelines for drug-resistant epilepsy in Spain (Consenso RATE-España).

PubMed

Sánchez-Álvarez, J C; Mauri-Llerda, J A; Gil-Nagel, A; Casas-Fernández, C; Salas-Puig, J; Lahuerta, J; Sancho-Rieger, J

2012-10-01

To ascertain the opinions of an Epilepsy Expert Group and prepare a consensus document on the definition of drug-resistant epilepsy (DRE) according to the International League Against Epilepsy (ILAE) and the different healthcare levels for the patient with epilepsy in Spain. The study was conducted using the Delphi method, by means of successive rounds of questionnaires. A scientific committee prepared a preliminary document and fourteen associated questions, which were sent by e-mail to the panel of experts. They included items related to the concept of DRE, health care levels and the route between these levels for patients with DRE. A total of 41 experts answered the questionnaire. They agreed regarding the necessity and applicability of the DRE definition according to the ILAE, the need for an expert panel on epilepsy, specialist epilepsy clinics, and clinical epilepsy units stratified depending on the level of activities they carried out. There was moderate consensus on the resources and activity of the clinical units of reference and there was no consensus on the referral of patients who have suffered an epileptic seizure to an epilepsy clinic. The expert panel agreed with the definition of DRE according to the ILAE and on referring patients with DRE for a detailed study in an epilepsy clinic or epilepsy clinical unit. They highlighted the need for video-EEG monitoring in the study of patients with DRE and the need to propose other forms of treatment in selected patients. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

The Volcanic Hazards Simulation: Students behaving expert-like when faced with challenging, authentic tasks during a simulated Volcanic Crisis

NASA Astrophysics Data System (ADS)

Dohaney, J. A.; kennedy, B.; Brogt, E.; Gravley, D.; Wilson, T.; O'Steen, B.

2011-12-01

This qualitative study investigates behaviors and experiences of upper-year geosciences undergraduate students during an intensive role-play simulation, in which the students interpret geological data streams and manage a volcanic crisis event. We present the development of the simulation, its academic tasks, (group) role assignment strategies and planned facilitator interventions over three iterations. We aim to develop and balance an authentic, intensive and highly engaging capstone activity for volcanology and geo-hazard courses. Interview data were collected from academic and professional experts in the fields of Volcanology and Hazard Management (n=11) in order to characterize expertise in the field, characteristics of key roles in the simulation, and to validate the authenticity of tasks and scenarios. In each iteration, observations and student artifacts were collected (total student participants: 68) along with interviews (n=36) and semi-structured, open-ended questionnaires (n=26). Our analysis of these data indicates that increasing the structure (i.e. organization, role-specific tasks and responsibilities) lessens non-productive group dynamics, which allows for an increase in difficulty of academic tasks within the simulation without increasing the cognitive load on students. Under these conditions, students exhibit professional expert-like behaviours, in particular in the quality of decision-making, communication skills and task-efficiency. In addition to illustrating the value of using this simulation to teach geosciences concepts, this study has implications for many complex situated-learning activities.

Simulation modelling as a tool for knowledge mobilisation in health policy settings: a case study protocol.

PubMed

Freebairn, L; Atkinson, J; Kelly, P; McDonnell, G; Rychetnik, L

2016-09-21

Evidence-informed decision-making is essential to ensure that health programs and services are effective and offer value for money; however, barriers to the use of evidence persist. Emerging systems science approaches and advances in technology are providing new methods and tools to facilitate evidence-based decision-making. Simulation modelling offers a unique tool for synthesising and leveraging existing evidence, data and expert local knowledge to examine, in a robust, low risk and low cost way, the likely impact of alternative policy and service provision scenarios. This case study will evaluate participatory simulation modelling to inform the prevention and management of gestational diabetes mellitus (GDM). The risks associated with GDM are well recognised; however, debate remains regarding diagnostic thresholds and whether screening and treatment to reduce maternal glucose levels reduce the associated risks. A diagnosis of GDM may provide a leverage point for multidisciplinary lifestyle modification interventions. This research will apply and evaluate a simulation modelling approach to understand the complex interrelation of factors that drive GDM rates, test options for screening and interventions, and optimise the use of evidence to inform policy and program decision-making. The study design will use mixed methods to achieve the objectives. Policy, clinical practice and research experts will work collaboratively to develop, test and validate a simulation model of GDM in the Australian Capital Territory (ACT). The model will be applied to support evidence-informed policy dialogues with diverse stakeholders for the management of GDM in the ACT. Qualitative methods will be used to evaluate simulation modelling as an evidence synthesis tool to support evidence-based decision-making. Interviews and analysis of workshop recordings will focus on the participants' engagement in the modelling process; perceived value of the participatory process, perceived commitment, influence and confidence of stakeholders in implementing policy and program decisions identified in the modelling process; and the impact of the process in terms of policy and program change. The study will generate empirical evidence on the feasibility and potential value of simulation modelling to support knowledge mobilisation and consensus building in health settings.

Face and content validity of Xperience™ Team Trainer: bed-side assistant training simulator for robotic surgery.

PubMed

Sessa, Luca; Perrenot, Cyril; Xu, Song; Hubert, Jacques; Bresler, Laurent; Brunaud, Laurent; Perez, Manuela

2018-03-01

In robotic surgery, the coordination between the console-side surgeon and bed-side assistant is crucial, more than in standard surgery or laparoscopy where the surgical team works in close contact. Xperience™ Team Trainer (XTT) is a new optional component for the dv-Trainer ® platform and simulates the patient-side working environment. We present preliminary results for face, content, and the workload imposed regarding the use of the XTT virtual reality platform for the psychomotor and communication skills training of the bed-side assistant in robot-assisted surgery. Participants were categorized into "Beginners" and "Experts". They tested a series of exercises (Pick & Place Laparoscopic Demo, Pick & Place 2 and Team Match Board 1) and completed face validity questionnaires. "Experts" assessed content validity on another questionnaire. All the participants completed a NASA Task Load Index questionnaire to assess the workload imposed by XTT. Twenty-one consenting participants were included (12 "Beginners" and 9 "Experts"). XTT was shown to possess face and content validity, as evidenced by the rankings given on the simulator's ease of use and realism parameters and on the simulator's usefulness for training. Eight out of nine "Experts" judged the visualization of metrics after the exercises useful. However, face validity has shown some weaknesses regarding interactions and instruments. Reasonable workload parameters were registered. XTT demonstrated excellent face and content validity with acceptable workload parameters. XTT could become a useful tool for robotic surgery team training.

Clinical Placement Before or After Simulated Learning Environments?: A Naturalistic Study of Clinical Skills Acquisition Among Early-Stage Paramedicine Students.

PubMed

Mills, Brennen W; Carter, Owen B J; Rudd, Cobie J; Ross, Nathan P; Claxton, Louise A

2015-10-01

There is conflicting evidence surrounding the merit of clinical placements (CPs) for early-stage health-profession students. Some contend that early-stage CPs facilitate contextualization of a subsequently learned theory. Others argue that training in simulated-learning experiences (SLEs) should occur before CP to ensure that students possess at least basic competency. We sought to investigate both claims. First-year paramedicine students (n = 85) undertook 3 days of CP and SLEs as part of course requirements. Students undertook CP either before or after participation in SLEs creating 2 groups (Clin → Sim/Sim → Clin). Clinical skills acquisition was measured via direct scenario-based clinical assessments with expert observers conducted at 4 intervals during the semester. Perceptions of difficulty of CP and SLE were measured via the National Aeronautics and Space Administration Task Load Index. Students' clinical assessment scores in both groups improved significantly from beginning to end of semester (P < 0.001). However, at semester's end, clinical assessment scores for the Sim → Clin group were statistically significantly greater than those of the Clin → Sim group (P = 0.021). Both groups found SLEs more demanding than CP (P < 0.001). However, compared with the Sim → Clin group, the Clin → Sim group rated SLE as substantially more time-demanding than CP (P = 0.003). Differences in temporal demand suggest that the Clin → Sim students had fewer opportunities to practice clinical skills during CP than the Sim → Clin students due to a more limited scope of practice. The Sim → Clin students contextualized SLE within subsequent CP resulting in greater improvement in clinical competency by semester's end in comparison with the Clin → Sim students who were forced to contextualize skills retrospectively.

Differences between naïve and expert observers’ vergence and accommodative responses to a range of targets

PubMed Central

Horwood, Anna M; Riddell, Patricia M

2015-01-01

Purpose Vergence and accommodation studies often use adult participants with experience of vision science. Reports of infant and clinical responses are generally more variable and of lower gain, with the implication that differences lie in immaturity or sub-optimal clinical characteristics but expert /naïve differences are rarely considered or quantified. Methods Sixteen undergraduates, naïve to vision science were individually matched by age, visual acuity, refractive error, heterophoria, stereoacuity and near point of accommodation to 2nd & 3rd year orthoptics and optometry undergraduates (“experts”). Accommodation and vergence responses were assessed to targets moving between 33cm, 50 cm, 1m and 2m using a haploscopic device incorporating a PlusoptiX SO4 autorefractor. Disparity, blur and looming cues were separately available or minimised in all combinations. Instruction set was minimal. Results In all cases, vergence and accommodation response slopes (gain) were steeper and closer to 1.0 in the expert group (p=0.001), with the largest expert /naïve differences for both vergence and accommodation being for near targets (p=0.012). For vergence, the differences between expert and naïve response slopes increased with increasingly open-loop targets (linear trend p=0.025). Although we predicted that proximal cues would drive additional response in the experts, the proximity-only cue was the only condition that showed no statistical effect of experience. Conclusions Expert observers provide more accurate responses to near target demand than closely matched naïve observers. We suggest that attention, practice, voluntary and proprioceptive effects may enhance responses in experienced participants when compared to a more typical general population. Differences between adult reports and the developmental and clinical literature may partially reflect expert / naïve effects, as well as developmental change. If developmental and clinical studies are to be compared to adult normative data, uninstructed naïve adult data should be used. PMID:20444119

Keeping experience at the bedside: the emergency consultant nurse role.

PubMed

Currie, Jane

The consultant nurse concept has not yet been transferred to the military setting. The motivation for developing the role in the NHS was to improve the quality of patient care by strengthening professional leadership and extending the clinical career ladder. The consultant nurse may be defined as an expert in their clinical field, possessing expert leadership and visionary skills. The role is based on four domains: expert practice, professional leadership, education and research. Typically, the emergency consultant nurse spends 50% of their time working clinically, thereby providing senior clinical expertise and adding value to the clinical role. In a military context the consultant nurse role could be perceived as the coming together of the senior command and administrative role and the clinical role. The military has the opportunity to develop a senior clinical emergency nurse role encompassing elements of the civilian consultant nurse model, which may strengthen leadership, provide a central resource of expertise and raise the profile of military nursing. This has the added potential to provide inspiration for junior nurses and retain experienced emergency nurses in the clinical arena.

International Expert Consensus Document on Takotsubo Syndrome (Part II): Diagnostic Workup, Outcome, and Management.

PubMed

Ghadri, Jelena-Rima; Wittstein, Ilan Shor; Prasad, Abhiram; Sharkey, Scott; Dote, Keigo; Akashi, Yoshihiro John; Cammann, Victoria Lucia; Crea, Filippo; Galiuto, Leonarda; Desmet, Walter; Yoshida, Tetsuro; Manfredini, Roberto; Eitel, Ingo; Kosuge, Masami; Nef, Holger M; Deshmukh, Abhishek; Lerman, Amir; Bossone, Eduardo; Citro, Rodolfo; Ueyama, Takashi; Corrado, Domenico; Kurisu, Satoshi; Ruschitzka, Frank; Winchester, David; Lyon, Alexander R; Omerovic, Elmir; Bax, Jeroen J; Meimoun, Patrick; Tarantini, Guiseppe; Rihal, Charanjit; Y-Hassan, Shams; Migliore, Federico; Horowitz, John D; Shimokawa, Hiroaki; Lüscher, Thomas Felix; Templin, Christian

2018-06-07

The clinical expert consensus statement on takotsubo syndrome (TTS) part II focuses on the diagnostic workup, outcome, and management. The recommendations are based on interpretation of the limited clinical trial data currently available and experience of international TTS experts. It summarizes the diagnostic approach, which may facilitate correct and timely diagnosis. Furthermore, the document covers areas where controversies still exist in risk stratification and management of TTS. Based on available data the document provides recommendations on optimal care of such patients for practising physicians.

International Expert Consensus Document on Takotsubo Syndrome (Part II): Diagnostic Workup, Outcome, and Management

PubMed Central

Ghadri, Jelena-Rima; Wittstein, Ilan Shor; Prasad, Abhiram; Sharkey, Scott; Dote, Keigo; Akashi, Yoshihiro John; Cammann, Victoria Lucia; Crea, Filippo; Galiuto, Leonarda; Desmet, Walter; Yoshida, Tetsuro; Manfredini, Roberto; Eitel, Ingo; Kosuge, Masami; Nef, Holger M; Deshmukh, Abhishek; Lerman, Amir; Bossone, Eduardo; Citro, Rodolfo; Ueyama, Takashi; Corrado, Domenico; Kurisu, Satoshi; Ruschitzka, Frank; Winchester, David; Lyon, Alexander R; Omerovic, Elmir; Bax, Jeroen J; Meimoun, Patrick; Tarantini, Guiseppe; Rihal, Charanjit; Y.-Hassan, Shams; Migliore, Federico; Horowitz, John D; Shimokawa, Hiroaki; Lüscher, Thomas Felix; Templin, Christian

2018-01-01

Abstract The clinical expert consensus statement on takotsubo syndrome (TTS) part II focuses on the diagnostic workup, outcome, and management. The recommendations are based on interpretation of the limited clinical trial data currently available and experience of international TTS experts. It summarizes the diagnostic approach, which may facilitate correct and timely diagnosis. Furthermore, the document covers areas where controversies still exist in risk stratification and management of TTS. Based on available data the document provides recommendations on optimal care of such patients for practising physicians. PMID:29850820

A knowledge based expert system for propellant system monitoring at the Kennedy Space Center

NASA Technical Reports Server (NTRS)

Jamieson, J. R.; Delaune, C.; Scarl, E.

1985-01-01

The Lox Expert System (LES) is the first attempt to build a realtime expert system capable of simulating the thought processes of NASA system engineers, with regard to fluids systems analysis and troubleshooting. An overview of the hardware and software describes the techniques used, and possible applications to other process control systems. LES is now in the advanced development stage, with a full implementation planned for late 1985.

Assessment of clinical reasoning: A Script Concordance test designed for pre-clinical medical students.

PubMed

Humbert, Aloysius J; Johnson, Mary T; Miech, Edward; Friedberg, Fred; Grackin, Janice A; Seidman, Peggy A

2011-01-01

The Script Concordance test (SCT) measures clinical reasoning in the context of uncertainty by comparing the responses of examinees and expert clinicians. It uses the level of agreement with a panel of experts to assign credit for the examinee's answers. This study describes the development and validation of a SCT for pre-clinical medical students. Faculty from two US medical schools developed SCT items in the domains of anatomy, biochemistry, physiology, and histology. Scoring procedures utilized data from a panel of 30 expert physicians. Validation focused on internal reliability and the ability of the SCT to distinguish between different cohorts. The SCT was administered to an aggregate of 411 second-year and 70 fourth-year students from both schools. Internal consistency for the 75 test items was satisfactory (Cronbach's alpha = 0.73). The SCT successfully differentiated second- from fourth-year students and both student groups from the expert panel in a one-way analysis of variance (F(2,508) = 120.4; p < 0.0001). Mean scores for students from the two schools were not significantly different (p = 0.20). This SCT successfully differentiated pre-clinical medical students from fourth-year medical students and both cohorts of medical students from expert clinicians across different institutions and geographic areas. The SCT shows promise as an easy-to-administer measure of "problem-solving" performance in competency evaluation even in the beginning years of medical education.

Running retraining to treat lower limb injuries: a mixed-methods study of current evidence synthesised with expert opinion.

PubMed

Barton, C J; Bonanno, D R; Carr, J; Neal, B S; Malliaras, P; Franklyn-Miller, A; Menz, H B

2016-05-01

Running-related injuries are highly prevalent. Synthesise published evidence with international expert opinion on the use of running retraining when treating lower limb injuries. Mixed methods. A systematic review of clinical and biomechanical findings related to running retraining interventions were synthesised and combined with semistructured interviews with 16 international experts covering clinical reasoning related to the implementation of running retraining. Limited evidence supports the effectiveness of transition from rearfoot to forefoot or midfoot strike and increase step rate or altering proximal mechanics in individuals with anterior exertional lower leg pain; and visual and verbal feedback to reduce hip adduction in females with patellofemoral pain. Despite the paucity of clinical evidence, experts recommended running retraining for: iliotibial band syndrome; plantar fasciopathy (fasciitis); Achilles, patellar, proximal hamstring and gluteal tendinopathy; calf pain; and medial tibial stress syndrome. Tailoring approaches to each injury and individual was recommended to optimise outcomes. Substantial evidence exists for the immediate biomechanical effects of running retraining interventions (46 studies), including evaluation of step rate and strike pattern manipulation, strategies to alter proximal kinematics and cues to reduce impact loading variables. Our synthesis of published evidence related to clinical outcomes and biomechanical effects with expert opinion indicates running retraining warrants consideration in the treatment of lower limb injuries in clinical practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

How do scientists respond to anomalies? Different strategies used in basic and applied science.

PubMed

Trickett, Susan Bell; Trafton, J Gregory; Schunn, Christian D

2009-10-01

We conducted two in vivo studies to explore how scientists respond to anomalies. Based on prior research, we identify three candidate strategies: mental simulation, mental manipulation of an image, and comparison between images. In Study 1, we compared experts in basic and applied domains (physics and meteorology). We found that the basic scientists used mental simulation to resolve an anomaly, whereas applied science practitioners mentally manipulated the image. In Study 2, we compared novice and expert meteorologists. We found that unlike experts, novices used comparison to address anomalies. We discuss the nature of expertise in the two kinds of science, the relationship between the type of science and the task performed, and the relationship of the strategies investigated to scientific creativity. Copyright © 2009 Cognitive Science Society, Inc.

Development and Validation of a Mobile Device-based External Ventricular Drain Simulator.

PubMed

Morone, Peter J; Bekelis, Kimon; Root, Brandon K; Singer, Robert J

2017-10-01

Multiple external ventricular drain (EVD) simulators have been created, yet their cost, bulky size, and nonreusable components limit their accessibility to residency programs. To create and validate an animated EVD simulator that is accessible on a mobile device. We developed a mobile-based EVD simulator that is compatible with iOS (Apple Inc., Cupertino, California) and Android-based devices (Google, Mountain View, California) and can be downloaded from the Apple App and Google Play Store. Our simulator consists of a learn mode, which teaches users the procedure, and a test mode, which assesses users' procedural knowledge. Twenty-eight participants, who were divided into expert and novice categories, completed the simulator in test mode and answered a postmodule survey. This was graded using a 5-point Likert scale, with 5 representing the highest score. Using the survey results, we assessed the module's face and content validity, whereas construct validity was evaluated by comparing the expert and novice test scores. Participants rated individual survey questions pertaining to face and content validity a median score of 4 out of 5. When comparing test scores, generated by the participants completing the test mode, the experts scored higher than the novices (mean, 71.5; 95% confidence interval, 69.2 to 73.8 vs mean, 48; 95% confidence interval, 44.2 to 51.6; P < .001). We created a mobile-based EVD simulator that is inexpensive, reusable, and accessible. Our results demonstrate that this simulator is face, content, and construct valid. Copyright © 2017 by the Congress of Neurological Surgeons

In Situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations.

PubMed

Dutta, Soumya; Chen, Chun-Ming; Heinlein, Gregory; Shen, Han-Wei; Chen, Jen-Ping

2017-01-01

Study of flow instability in turbine engine compressors is crucial to understand the inception and evolution of engine stall. Aerodynamics experts have been working on detecting the early signs of stall in order to devise novel stall suppression technologies. A state-of-the-art Navier-Stokes based, time-accurate computational fluid dynamics simulator, TURBO, has been developed in NASA to enhance the understanding of flow phenomena undergoing rotating stall. Despite the proven high modeling accuracy of TURBO, the excessive simulation data prohibits post-hoc analysis in both storage and I/O time. To address these issues and allow the expert to perform scalable stall analysis, we have designed an in situ distribution guided stall analysis technique. Our method summarizes statistics of important properties of the simulation data in situ using a probabilistic data modeling scheme. This data summarization enables statistical anomaly detection for flow instability in post analysis, which reveals the spatiotemporal trends of rotating stall for the expert to conceive new hypotheses. Furthermore, the verification of the hypotheses and exploratory visualization using the summarized data are realized using probabilistic visualization techniques such as uncertain isocontouring. Positive feedback from the domain scientist has indicated the efficacy of our system in exploratory stall analysis.

Retention of laparoscopic procedural skills acquired on a virtual-reality surgical trainer.

PubMed

Maagaard, Mathilde; Sorensen, Jette Led; Oestergaard, Jeanett; Dalsgaard, Torur; Grantcharov, Teodor P; Ottesen, Bent S; Larsen, Christian Rifbjerg

2011-03-01

Virtual-reality (VR) simulator training has been shown to improve surgical performance in laparoscopic procedures in the operating room. We have, in a randomised controlled trial, demonstrated transferability to real operations. The validity of the LapSim virtual-reality simulator as an assessment tool has been demonstrated in several reports. However, an unanswered question regarding simulator training is the durability, or retention, of skills acquired during simulator training. The aim of the present study is to assess the retention of skills acquired using the LapSim VR simulator, 6 and 18 months after an initial training course. The investigation was designed as a 6- and 18-month follow-up on a cohort of participants who earlier participated in a skills training programme on the LapSim VR. The follow-up cohort consisted of trainees and senior consultants allocated to two groups: (1) novices (experience < 5 procedures, n = 9) and (2) experts (experience > 200 procedures during the past 3 years, n = 10). Each participant performed ten sessions. Assessment of skills was based on time, economy of movement and the error parameter "bleeding". The novice group were re-tested after 6 and 18 months, whereas the expert group were only retested once, after 6 months. None of the novices performed laparoscopic surgery in the follow-up period. The experts continued their daily work with laparoscopic surgery. Novices showed retention of skills after 6 months. After 18 months, novices' laparoscopic skills had returned to the pre-training level. This indicates that laparoscopic skills seemed to deteriorate in the period between 6 and 18 months without training. Experts showed consistent performance over time. This information can be included when planning training curricula in minimal invasive surgery.

Expert Systems in Clinical Microbiology

PubMed Central

Winstanley, Trevor; Courvalin, Patrice

2011-01-01

Summary: This review aims to discuss expert systems in general and how they may be used in medicine as a whole and clinical microbiology in particular (with the aid of interpretive reading). It considers rule-based systems, pattern-based systems, and data mining and introduces neural nets. A variety of noncommercial systems is described, and the central role played by the EUCAST is stressed. The need for expert rules in the environment of reset EUCAST breakpoints is also questioned. Commercial automated systems with on-board expert systems are considered, with emphasis being placed on the “big three”: Vitek 2, BD Phoenix, and MicroScan. By necessity and in places, the review becomes a general review of automated system performances for the detection of specific resistance mechanisms rather than focusing solely on expert systems. Published performance evaluations of each system are drawn together and commented on critically. PMID:21734247

Computer-Aided Design and 3-Dimensional Printing for Costal Cartilage Simulation of Airway Graft Carving.

PubMed

Ha, Jennifer F; Morrison, Robert J; Green, Glenn E; Zopf, David A

2017-06-01

Autologous cartilage grafting during open airway reconstruction is a complex skill instrumental to the success of the operation. Most trainees lack adequate opportunities to develop proficiency in this skill. We hypothesized that 3-dimensional (3D) printing and computer-aided design can be used to create a high-fidelity simulator for developing skills carving costal cartilage grafts for airway reconstruction. The rapid manufacturing and low cost of the simulator allow deployment in locations lacking expert instructors or cadaveric dissection, such as medical missions and Third World countries. In this blinded, prospective observational study, resident trainees completed a physical simulator exercise using a 3D-printed costal cartilage grafting tool. Participant assessment was performed using a Likert scale questionnaire, and airway grafts were assessed by a blinded expert surgeon. Most participants found this to be a very relevant training tool and highly rated the level of realism of the simulation tool.

Automatic procedures generator for orbital rendezvous maneuver

NASA Technical Reports Server (NTRS)

Kohn, W.; Van Valkenburg, J. A.; Dunn, C. K.

1985-01-01

This paper describes the development of an expert system for defining and dynamically updating procedures for an orbital rendezvous maneuver. The product of the expert system is a procedure represented by a Moore automaton. The construction is recursive and driven by a simulation of the rendezvousing bodies.

Distributed Web-Based Expert System for Launch Operations

NASA Technical Reports Server (NTRS)

Bardina, Jorge E.; Thirumalainambi, Rajkumar

2005-01-01

The simulation and modeling of launch operations is based on a representation of the organization of the operations suitable to experiment of the physical, procedural, software, hardware and psychological aspects of space flight operations. The virtual test bed consists of a weather expert system to advice on the effect of weather to the launch operations. It also simulates toxic gas dispersion model, and the risk impact on human health. Since all modeling and simulation is based on the internet, it could reduce the cost of operations of launch and range safety by conducting extensive research before a particular launch. Each model has an independent decision making module to derive the best decision for launch.

Simulations of Highway Traffic With Various Degrees of Automation

DOT National Transportation Integrated Search

1996-01-01

A traffic simulator to study highway traffic under various degrees of automation is being developed at Argonne National Laboratory. The key components of this simulator include a global and a local Expert Driver Model, a human factor study and a grap...

Development of the Human Factors Skills for Healthcare Instrument: a valid and reliable tool for assessing interprofessional learning across healthcare practice settings.

PubMed

Reedy, Gabriel B; Lavelle, Mary; Simpson, Thomas; Anderson, Janet E

2017-10-01

A central feature of clinical simulation training is human factors skills, providing staff with the social and cognitive skills to cope with demanding clinical situations. Although these skills are critical to safe patient care, assessing their learning is challenging. This study aimed to develop, pilot and evaluate a valid and reliable structured instrument to assess human factors skills, which can be used pre- and post-simulation training, and is relevant across a range of healthcare professions. Through consultation with a multi-professional expert group, we developed and piloted a 39-item survey with 272 healthcare professionals attending training courses across two large simulation centres in London, one specialising in acute care and one in mental health, both serving healthcare professionals working across acute and community settings. Following psychometric evaluation, the final 12-item instrument was evaluated with a second sample of 711 trainees. Exploratory factor analysis revealed a 12-item, one-factor solution with good internal consistency (α=0.92). The instrument had discriminant validity, with newly qualified trainees scoring significantly lower than experienced trainees ( t (98)=4.88, p<0.001) and was sensitive to change following training in acute and mental health settings, across professional groups (p<0.001). Confirmatory factor analysis revealed an adequate model fit (RMSEA=0.066). The Human Factors Skills for Healthcare Instrument provides a reliable and valid method of assessing trainees' human factors skills self-efficacy across acute and mental health settings. This instrument has the potential to improve the assessment and evaluation of human factors skills learning in both uniprofessional and interprofessional clinical simulation training.

The expert consensus guideline series. Optimizing pharmacologic treatment of psychotic disorders. Introduction: methods, commentary, and summary.

PubMed

Kane, John M; Leucht, Stefan; Carpenter, Daniel; Docherty, John P

2003-01-01

A growing number of atypical antipsychotics are available for clinicians to choose from in the treatment of psychotic disorders. However, a number of important questions concerning medication selection, dosing and dose equivalence, and the management of inadequate response, compliance problems, and relapse have not been adequately addressed by clinical trials. To aid clinical decision-making, a consensus survey of expert opinion on the pharmacologic treatment of psychotic disorders was undertaken to address questions not definitively answered in the research literature. Based on a literature review, a written survey was developed with 60 questions and 994 options. Approximately half of the options were scored using a modified version of the RAND 9-point scale for rating the appropriateness of medical decisions. For the other options, the experts were asked to write in answers (e.g., average doses) or check a box to indicate their preferred answer. The survey was sent to 50 national experts on the pharmacologic treatment of psychotic disorders, 47 (94%) of whom completed it. In analyzing the responses to items rated on the 9-point scale, consensus on each option was defined as a non random distribution of scores by chi-square "goodness-of-fit"test. We assigned a categorical rank (first line/preferred choice,second line/alternate choice, third line/usually inappropriate) to each option based on the 95% confidence interval around the mean rating. Guideline tables indicating preferred treatment strategies were then developed for key clinical situations. The expert panel reached consensus on 88% of the options rated on the 9-point scale. The experts overwhelmingly endorsed the atypical antipsychotics for the treatment of psychotic disorders. Risperidone was the top choice for first-episode and multi-episode patients, with the other newer atypicals rated first line or high second line depending on the clinical situation. Clozapine and a long-acting injectable atypical (when available)were other high second line options for multi-episode patients. The expert's dosing recommendations agreed closely with the package inserts for the drugs, and their estimates of dose equivalence among the antipsychotics followed a linear pattern. The experts considered 3-6 weeks an adequate antipsychotic trial, but would wait a little longer (4-10 weeks) before making a major change in treatment regimen if there is a partial response. The experts recommended trying to improve response by increasing the dose of atypical and depot antipsychotics before switching to a different agent; there was less agreement about increasing the dose of conventional antipsychotics before switching, probably because of concern about side effects at higher doses. If it is decided to switch because of inadequate response, risperidone was the expert's first choice to switch to, no matter what drug was initially tried. Although there was some disparity in the expert's recommendations concerning how many agents to try before switching to clozapine, the expert's responses suggest that switching to clozapine should be Clozapine was also the antipsychotic of choice for patients with suicidal behavior. When switching oral antipsychotics,the experts considered cross-titration the preferred strategy. When switching to an injectable antipsychotic, the experts stressed the importance of continuing the oral antipsychotic until therapeutic levels of the injectable agent are achieved. The experts considered psychosocial interventions the first choice strategy for partially compliant patients, with pharmacologic interventions the first choice for patients with clear evidence of noncompliance. However, because it can be difficult to distinguish partially compliant from noncompliant patients, the editors recommended combining psychosocial and pharmacologic interventions to improve compliance whenever possible. When patients relapse because of compliance problems or if there is any doubt about compliance, the experts recommended the use of a long-acting injectable antipsychotic and would select an injectable atypical when this option becomes available. The experts would also consider using an injectable atypical antipsychotic (when available) in many clinical situations that do not involve compliance problems. The experts stressed the importance of monitoring for health problems-especially obesity, diabetes, cardiovascular problems,HIV risk behaviors, medical complications of substance abuse, heavy smoking and its effects, hypertension, and amenorrhea-in patients being treated with antipsychotics. Although many patients are prescribed adjunctive treatments,multiple antipsychotics, and combinations of different classes of drugs (e.g., antipsychotics plus mood stabilizers or antidepressants) in an effort to enhance response, the experts gave little support to any of these strategies, with the exception of antidepressants for patients with dysphoria/depression, antidepressants or ECT for patients with suicidal behavior, and mood stabilizers for patients with aggression/violence. When asked about indicators of remission and recovery, the experts considered acute improvement in psychotic symptoms the most important indicator of remission, whereas they considered more sustained improvement in multiple outcome domains (e.g., occupational/educational functioning, peer relationships,independent living) important in assessing recovery. The experts reached a high level of consensus on many of the key treatment questions in the survey. Within the limits of expert opinion and with the expectation that future research data will take precedence, these guidelines provide direction for addressing common clinical dilemmas that arise in the pharmacologic treatment of psychotic disorders. They can be used to inform clinicians and educate patients regarding the relative merits of a variety of interventions. Clinicians should keep in mind that no guidelines can address the complexities involved in the care of each individual patient and that sound clinical judgment based on clinical experience should be used in applying these recommendations.

Evaluation of a virtual-reality-based simulator using passive haptic feedback for knee arthroscopy.

PubMed

Fucentese, Sandro F; Rahm, Stefan; Wieser, Karl; Spillmann, Jonas; Harders, Matthias; Koch, Peter P

2015-04-01

The aim of this work is to determine face validity and construct validity of a new virtual-reality-based simulator for diagnostic and therapeutic knee arthroscopy. The study tests a novel arthroscopic simulator based on passive haptics. Sixty-eight participants were grouped into novices, intermediates, and experts. All participants completed two exercises. In order to establish face validity, all participants filled out a questionnaire concerning different aspects of simulator realism, training capacity, and different statements using a seven-point Likert scale (range 1-7). Construct validity was tested by comparing various simulator metric values between novices and experts. Face validity could be established: overall realism was rated with a mean value of 5.5 points. Global training capacity scored a mean value of 5.9. Participants considered the simulator as useful for procedural training of diagnostic and therapeutic arthroscopy. In the foreign body removal exercise, experts were overall significantly faster in the whole procedure (6 min 24 s vs. 8 min 24 s, p < 0.001), took less time to complete the diagnostic tour (2 min 49 s vs. 3 min 32 s, p = 0.027), and had a shorter camera path length (186 vs. 246 cm, p = 0.006). The simulator achieved high scores in terms of realism. It was regarded as a useful training tool, which is also capable of differentiating between varying levels of arthroscopic experience. Nevertheless, further improvements of the simulator especially in the field of therapeutic arthroscopy are desirable. In general, the findings support that virtual-reality-based simulation using passive haptics has the potential to complement conventional training of knee arthroscopy skills. II.

Efficacy of standardized training on a virtual reality simulator to advance knee and shoulder arthroscopic motor skills.

PubMed

Rahm, Stefan; Wieser, Karl; Bauer, David E; Waibel, Felix Wa; Meyer, Dominik C; Gerber, Christian; Fucentese, Sandro F

2018-05-16

Most studies demonstrated, that training on a virtual reality based arthroscopy simulator leads to an improvement of technical skills in orthopaedic surgery. However, how long and what kind of training is optimal for young residents is unknown. In this study we tested the efficacy of a standardized, competency based training protocol on a validated virtual reality based knee- and shoulder arthroscopy simulator. Twenty residents and five experts in arthroscopy were included. All participants performed a test including knee -and shoulder arthroscopy tasks on a virtual reality knee- and shoulder arthroscopy simulator. The residents had to complete a competency based training program. Thereafter, the previously completed test was retaken. We evaluated the metric data of the simulator using a z-score and the Arthroscopic Surgery Skill Evaluation Tool (ASSET) to assess training effects in residents and performance levels in experts. The residents significantly improved from pre- to post training in the overall z-score: - 9.82 (range, - 20.35 to - 1.64) to - 2.61 (range, - 6.25 to 1.5); p < 0.001. The overall ASSET score improved from 55 (27 to 84) percent to 75 (48 to 92) percent; p < 0.001. The experts, however, achieved a significantly higher z-score in the shoulder tasks (p < 0.001 and a statistically insignificantly higher z-score in the knee tasks with a p = 0.921. The experts mean overall ASSET score (knee and shoulder) was significantly higher in the therapeutic tasks (p < 0.001) compared to the residents post training result. The use of a competency based simulator training with this specific device for 3-5 h is an effective tool to advance basic arthroscopic skills of resident in training from 0 to 5 years based on simulator measures and simulator based ASSET testing. Therefore, we conclude that this sort of training method appears useful to learn the handling of the camera, basic anatomy and the triangulation with instruments.

iRENEX: a clinically informed decision support system for the interpretation of ⁹⁹mTc-MAG3 scans to detect renal obstruction.

PubMed

Garcia, Ernest V; Taylor, Andrew; Folks, Russell; Manatunga, Daya; Halkar, Raghuveer; Savir-Baruch, Bital; Dubovsky, Eva

2012-09-01

Decision support systems for imaging analysis and interpretation are rapidly being developed and will have an increasing impact on the practice of medicine. RENEX is a renal expert system to assist physicians evaluate suspected obstruction in patients undergoing mercaptoacetyltriglycine (MAG3) renography. RENEX uses quantitative parameters extracted from the dynamic renal scan data using QuantEM™II and heuristic rules in the form of a knowledge base gleaned from experts to determine if a kidney is obstructed; however, RENEX does not have access to and could not consider the clinical information available to diagnosticians interpreting these studies. We designed and implemented a methodology to incorporate clinical information into RENEX, implemented motion detection and evaluated this new comprehensive system (iRENEX) in a pilot group of 51 renal patients. To reach a conclusion as to whether a kidney is obstructed, 56 new clinical rules were added to the previously reported 60 rules used to interpret quantitative MAG3 parameters. All the clinical rules were implemented after iRENEX reached a conclusion on obstruction based on the quantitative MAG3 parameters, and the evidence of obstruction was then modified by the new clinical rules. iRENEX consisted of a library to translate parameter values to certainty factors, a knowledge base with 116 heuristic interpretation rules, a forward chaining inference engine to determine obstruction and a justification engine. A clinical database was developed containing patient histories and imaging report data obtained from the hospital information system associated with the pertinent MAG3 studies. The system was fine-tuned and tested using a pilot group of 51 patients (21 men, mean age 58.2 ± 17.1 years, 100 kidneys) deemed by an expert panel to have 61 unobstructed and 39 obstructed kidneys. iRENEX, using only quantitative MAG3 data agreed with the expert panel in 87 % (34/39) of obstructed and 90 % (55/61) of unobstructed kidneys. iRENEX, using both quantitative and clinical data agreed with the expert panel in 95 % (37/39) of obstructed and 92 % (56/61) of unobstructed kidneys. The clinical information significantly (p < 0.001) increased iRENEX certainty in detecting obstruction over using the quantitative data alone. Our renal expert system for detecting renal obstruction has been substantially expanded to incorporate the clinical information available to physicians as well as advanced quality control features and was shown to interpret renal studies in a pilot group at a standardized expert level. These encouraging results warrant a prospective study in a large population of patients with and without renal obstruction to establish the diagnostic performance of iRENEX.

Clinical judgments about endotracheal suctioning: what cues do expert pediatric critical care nurses consider?

PubMed

Thomas, Margot; Fothergill-Bourbonnais, Frances

2005-12-01

Making accurate and timely judgments based on multiple ways of knowing is an essential skill in critical care nursing practice. Studies have proposed that positive patient outcomes are linked to expert judgments in a variety of critical care situations; however, little is known about clinical judgments related to specific critical care nursing interventions. This article presents a qualitative nursing research study which examined the cues that expert pediatric critical care nurses used in making clinical judgments about suctioning intubated and ventilated, critically ill children. The participants' words and actions attest that the 'sensing' and 'thinking' of the process of cue use, are interwoven with, and integral to, the 'doing,' which is the process of skilled performance.

Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC).

PubMed

Caudle, Kelly E; Dunnenberger, Henry M; Freimuth, Robert R; Peterson, Josh F; Burlison, Jonathan D; Whirl-Carrillo, Michelle; Scott, Stuart A; Rehm, Heidi L; Williams, Marc S; Klein, Teri E; Relling, Mary V; Hoffman, James M

2017-02-01

Reporting and sharing pharmacogenetic test results across clinical laboratories and electronic health records is a crucial step toward the implementation of clinical pharmacogenetics, but allele function and phenotype terms are not standardized. Our goal was to develop terms that can be broadly applied to characterize pharmacogenetic allele function and inferred phenotypes. Terms currently used by genetic testing laboratories and in the literature were identified. The Clinical Pharmacogenetics Implementation Consortium (CPIC) used the Delphi method to obtain a consensus and agree on uniform terms among pharmacogenetic experts. Experts with diverse involvement in at least one area of pharmacogenetics (clinicians, researchers, genetic testing laboratorians, pharmacogenetics implementers, and clinical informaticians; n = 58) participated. After completion of five surveys, a consensus (>70%) was reached with 90% of experts agreeing to the final sets of pharmacogenetic terms. The proposed standardized pharmacogenetic terms will improve the understanding and interpretation of pharmacogenetic tests and reduce confusion by maintaining consistent nomenclature. These standard terms can also facilitate pharmacogenetic data sharing across diverse electronic health care record systems with clinical decision support.Genet Med 19 2, 215-223.

The Design of an ITS-Based Business Simulation: A New Epistemology for Learning.

ERIC Educational Resources Information Center

Gold, Steven C.

1998-01-01

Discusses the design and use of intelligent tutoring systems (ITS) for computerized business simulations. Reviews the use of ITS as an instructional technology; presents a model for ITS-based business simulations; examines the user interface and link between the ITS and simulation; and recommends expert-consultant diagnostic testing, and…

Pediatric regional examination of the musculoskeletal system: a practice- and consensus-based approach.

PubMed

Foster, Helen; Kay, Lesley; May, Carl; Rapley, Tim

2011-11-01

Competent examination of the pediatric musculoskeletal (MSK) system is a vital component of clinical assessment of children with MSK presentations. The aim was to develop a regional MSK examination for school-age children that is age appropriate and reflects clinical practice. Qualitative and quantitative analyses involving video observation of clinical examination technique, systematic review, and expert consensus were employed to reveal descriptions, frequencies, and variations in technique for joint regions in various clinical scenarios. Systematic review and data from clinical observation were combined with feedback from a group of pediatric MSK experts through a web-based survey. All results were collated and discussed by consensus development groups to derive the pediatric Regional Examination of the Musculoskeletal System (pREMS). A total of 48 pediatric MSK expert clinicians were involved to derive pREMS. Systematic review revealed a paucity of evidence about regional pediatric MSK examination. Video observations of MSK examinations (a total of 2,901 maneuvers) performed by pediatric MSK experts (n = 11 doctors and 8 therapists) of 89 school-age children attending outpatient clinics in 7 UK pediatric rheumatology centers were followed by semistructured interviews with 14 of 19 clinicians. Video observation showed variation in examination techniques, most frequently at the hip and knee in the context of mechanical and inflammatory clinical scenarios. pREMS is the first practice- and consensus-based regional pediatric MSK examination for school-age children. The structured approach is an important step toward improved pediatric MSK clinical skills relevant to clinical training. Copyright © 2011 by the American College of Rheumatology.

Decision making in prioritization of required operational capabilities

NASA Astrophysics Data System (ADS)

Andreeva, P.; Karev, M.; Kovacheva, Ts.

2015-10-01

The paper describes an expert heuristic approach to prioritization of required operational capabilities in the field of defense. Based on expert assessment and by application of the method of Analytical Hierarchical Process, a methodology for their prioritization has been developed. It has been applied to practical simulation decision making games.

Flexible Programmes in Higher Professional Education: Expert Validation of a Flexible Educational Model

ERIC Educational Resources Information Center

Schellekens, Ad; Paas, Fred; Verbraeck, Alexander; van Merrienboer, Jeroen J. G.

2010-01-01

In a preceding case study, a process-focused demand-driven approach for organising flexible educational programmes in higher professional education (HPE) was developed. Operations management and instructional design contributed to designing a flexible educational model by means of discrete-event simulation. Educational experts validated the model…

Expert consensus for performing right heart catheterisation for suspected pulmonary arterial hypertension in systemic sclerosis: a Delphi consensus study with cluster analysis.

PubMed

Avouac, Jérôme; Huscher, Dörte; Furst, Daniel E; Opitz, Christian F; Distler, Oliver; Allanore, Yannick

2014-01-01

To establish an expert consensus on which criteria are the most appropriate in clinical practice to refer patients with systemic sclerosis (SSc) for right heart catheterisation (RHC) when pulmonary hypertension (PH) is suspected. A three stage internet based Delphi consensus exercise involving worldwide PH experts was designed. In the first stage, a comprehensive list of domains and items combining evidence based indications and expert opinions were obtained. In the second and third stages, experts were asked to rate each item selected in the list. After each of stages 2 and 3, the number of items and criteria were reduced according to a cluster analysis. A literature search and the opinions of 47 experts participating in Delphi stage 1 provided a list of seven domains containing 142 criteria. After stages 2 and 3, these domains and tools were reduced to three domains containing eight tools: clinical (progressive dyspnoea over the past 3 months, unexplained dyspnoea, worsening of WHO dyspnoea functional class, any finding on physical examination suggestive of elevated right heart pressures and any sign of right heart failure), echocardiography (systolic pulmonary artery pressure >45 mm Hg and right ventricle dilation) and pulmonary function tests (diffusion lung capacity for carbon monoxide <50% without pulmonary fibrosis). Among experts in pulmonary arterial hypertension-SSc, a core set of criteria for clinical practice to refer SSc patients for RHC has been defined by Delphi consensus methods. Although these indications are recommended by this expert group to be used as an interim tool, it will be necessary to formally validate the present tools in further studies.

Modeling of ETL-Processes and Processed Information in Clinical Data Warehousing.

PubMed

Tute, Erik; Steiner, Jochen

2018-01-01

Literature describes a big potential for reuse of clinical patient data. A clinical data warehouse (CDWH) is a means for that. To support management and maintenance of processes extracting, transforming and loading (ETL) data into CDWHs as well as to ease reuse of metadata between regular IT-management, CDWH and secondary data users by providing a modeling approach. Expert survey and literature review to find requirements and existing modeling techniques. An ETL-modeling-technique was developed extending existing modeling techniques. Evaluation by exemplarily modeling existing ETL-process and a second expert survey. Nine experts participated in the first survey. Literature review yielded 15 included publications. Six existing modeling techniques were identified. A modeling technique extending 3LGM² and combining it with openEHR information models was developed and evaluated. Seven experts participated in the evaluation. The developed approach can help in management and maintenance of ETL-processes and could serve as interface between regular IT-management, CDWH and secondary data users.

Natural and Artificial Intelligence in Neurosurgery: A Systematic Review.

PubMed

Senders, Joeky T; Arnaout, Omar; Karhade, Aditya V; Dasenbrock, Hormuzdiyar H; Gormley, William B; Broekman, Marike L; Smith, Timothy R

2017-09-07

Machine learning (ML) is a domain of artificial intelligence that allows computer algorithms to learn from experience without being explicitly programmed. To summarize neurosurgical applications of ML where it has been compared to clinical expertise, here referred to as "natural intelligence." A systematic search was performed in the PubMed and Embase databases as of August 2016 to review all studies comparing the performance of various ML approaches with that of clinical experts in neurosurgical literature. Twenty-three studies were identified that used ML algorithms for diagnosis, presurgical planning, or outcome prediction in neurosurgical patients. Compared to clinical experts, ML models demonstrated a median absolute improvement in accuracy and area under the receiver operating curve of 13% (interquartile range 4-21%) and 0.14 (interquartile range 0.07-0.21), respectively. In 29 (58%) of the 50 outcome measures for which a P -value was provided or calculated, ML models outperformed clinical experts ( P < .05). In 18 of 50 (36%), no difference was seen between ML and expert performance ( P > .05), while in 3 of 50 (6%) clinical experts outperformed ML models ( P < .05). All 4 studies that compared clinicians assisted by ML models vs clinicians alone demonstrated a better performance in the first group. We conclude that ML models have the potential to augment the decision-making capacity of clinicians in neurosurgical applications; however, significant hurdles remain associated with creating, validating, and deploying ML models in the clinical setting. Shifting from the preconceptions of a human-vs-machine to a human-and-machine paradigm could be essential to overcome these hurdles. Published by Oxford University Press on behalf of Congress of Neurological Surgeons 2017.

Using whole disease modeling to inform resource allocation decisions: economic evaluation of a clinical guideline for colorectal cancer using a single model.

PubMed

Tappenden, Paul; Chilcott, Jim; Brennan, Alan; Squires, Hazel; Glynne-Jones, Rob; Tappenden, Janine

2013-06-01

To assess the feasibility and value of simulating whole disease and treatment pathways within a single model to provide a common economic basis for informing resource allocation decisions. A patient-level simulation model was developed with the intention of being capable of evaluating multiple topics within National Institute for Health and Clinical Excellence's colorectal cancer clinical guideline. The model simulates disease and treatment pathways from preclinical disease through to detection, diagnosis, adjuvant/neoadjuvant treatments, follow-up, curative/palliative treatments for metastases, supportive care, and eventual death. The model parameters were informed by meta-analyses, randomized trials, observational studies, health utility studies, audit data, costing sources, and expert opinion. Unobservable natural history parameters were calibrated against external data using Bayesian Markov chain Monte Carlo methods. Economic analysis was undertaken using conventional cost-utility decision rules within each guideline topic and constrained maximization rules across multiple topics. Under usual processes for guideline development, piecewise economic modeling would have been used to evaluate between one and three topics. The Whole Disease Model was capable of evaluating 11 of 15 guideline topics, ranging from alternative diagnostic technologies through to treatments for metastatic disease. The constrained maximization analysis identified a configuration of colorectal services that is expected to maximize quality-adjusted life-year gains without exceeding current expenditure levels. This study indicates that Whole Disease Model development is feasible and can allow for the economic analysis of most interventions across a disease service within a consistent conceptual and mathematical infrastructure. This disease-level modeling approach may be of particular value in providing an economic basis to support other clinical guidelines. Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Assessment of Pharmacy Students' Communication Competence Using the Roter Interaction Analysis System During Objective Structured Clinical Examinations

PubMed Central

Kubota, Yoshie; Seki, Susumu; Takada, Kaori; Sakuma, Mio; Morimoto, Takeshi; Akaike, Akinori; Hiraide, Atsushi

2011-01-01

Objective To determine the value of using the Roter Interaction Analysis System during objective structured clinical examinations (OSCEs) to assess pharmacy students' communication competence. Methods As pharmacy students completed a clinical OSCE involving an interview with a simulated patient, 3 experts used a global rating scale to assess students' overall performance in the interview, and both the student's and patient's languages were coded using the Roter Interaction Analysis System (RIAS). The coders recorded the number of utterances (ie, units of spoken language) in each RIAS category. Correlations between the raters' scores and the number and types of utterances were examined. Results There was a significant correlation between students' global rating scores on the OSCE and the number of utterances in the RIAS socio-emotional category but not the RIAS business category. Conclusions The RIAS proved to be a useful tool for assessing the socio-emotional aspect of students' interview skills. PMID:21655397

Load index model: An advanced tool to support decision making during mass-casualty incidents.

PubMed

Adini, Bruria; Aharonson-Daniel, Limor; Israeli, Avi

2015-03-01

In mass-casualty events, accessing information concerning hospital congestion levels is crucial to improving patient distribution and optimizing care. The study aimed to develop a decision support tool for distributing casualties to hospitals in an emergency scenario involving multiple casualties. A comprehensive literature review and structured interviews with 20 content experts produced a shortlist of relevant criteria for inclusion in the model. A "load index model" was prepared, incorporating results of a modified Delphi survey of 100 emergency response experts. The model was tested in three simulation exercises in which an emergency scenario was presented to six groups of senior emergency managers. Information was provided regarding capacities of 11 simulated admitting hospitals in the region, and evacuation destinations were requested for 600 simulated casualties. Of the three simulation rounds, two were performed without the model and one after its presentation. Following simulation experiments and implementation during a real-life security threat, the efficacy of the model was assessed. Variability between experts concerning casualties' evacuation destinations decreased significantly following the model's introduction. Most responders (92%) supported the need for standardized data, and 85% found that the model improved policy setting regarding casualty evacuation in an emergency situation. These findings were reaffirmed in a real-life emergency scenario. The proposed model improved capacity to ensure evacuation of patients to less congested medical facilities in emergency situations, thereby enhancing lifesaving medical services. The model supported decision-making processes in both simulation exercises and an actual emergency situation.

Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design.

PubMed

Matin, Ivan; Hadzistevic, Miodrag; Vukelic, Djordje; Potran, Michal; Brajlih, Tomaz

2017-07-01

Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the problems using an expert system. Despite substantial research progress in the design of experts systems for the simulation model design and manufacturing have insufficiently considered the specifics of casting in dentistry, especially the need for further CAD, RE, CAE for the estimation of casting parameters and the control of the casting machine. The novel expert system performs the following: CAD modeling of the simulation model for casting, fast modeling of gate design, CAD eligibility and cast ability check of the model, estimation and running of the program code for the casting machine, as well as manufacturing time reduction of the metal substructure. The authors propose an integration method using common data model approach, blackboard architecture, rule-based reasoning and iterative redesign method. Arithmetic mean roughness values was determinated with constant Gauss low-pass filter (cut-off length of 2.5mm) according to ISO 4287 using Mahr MARSURF PS1. Dimensional deviation between the designed model and manufactured cast was determined using the coordinate measuring machine Zeiss Contura G2 and GOM Inspect software. The ES allows for obtaining the castings derived roughness grade number N7. The dimensional deviation between the simulation model of the metal substructure and the manufactured cast is 0.018mm. The arithmetic mean roughness values measured on the casting substructure are from 1.935µm to 2.778µm. The realized developed expert system with the integrated database is fully applicable for the observed hardware and software. Values of the arithmetic mean roughness and dimensional deviation indicate that casting substructures are surface quality, which is more than enough and useful for direct porcelain veneering. The manufacture of the substructure shows that the proposed ES allows the improvement of the design process while reducing the manufacturing time. Copyright © 2017 Elsevier B.V. All rights reserved.

Clinical reasoning in unimodal interventions in patients with non-specific neck pain in daily physiotherapy practice, a Delphi study.

PubMed

Maissan, Francois; Pool, Jan; Stutterheim, Eric; Wittink, Harriet; Ostelo, Raymond

2018-06-02

Neck pain is the fourth major cause of disability worldwide but sufficient evidence regarding treatment is not available. This study is a first exploratory attempt to gain insight into and consensus on the clinical reasoning of experts in patients with non-specific neck pain. First, we aimed to inventory expert opinions regarding the indication for physiotherapy when, other than neck pain, no positive signs and symptoms and no positive diagnostic tests are present. Secondly, we aimed to determine which measurement instruments are being used and when they are used to support and objectify the clinical reasoning process. Finally, we wanted to establish consensus among experts regarding the use of unimodal interventions in patients with non-specific neck pain, i.e. their sequential linear clinical reasoning. A Delphi study. A Web-based Delphi study was conducted. Fifteen experts (teachers and researchers) participated. Pain alone was deemed not be an indication for physiotherapy treatment. PROMs are mainly used for evaluative purposes and physical tests for diagnostic and evaluative purposes. Eighteen different variants of sequential linear clinical reasoning were investigated within our Delphi study. Only 6 out of 18 variants of sequential linear clinical reasoning reached more than 50% consensus. Pain alone is not an indication for physiotherapy. Insight has been obtained into which measurement instruments are used and when they are used. Consensus about sequential linear lines of clinical reasoning was poor. Copyright © 2018 Elsevier Ltd. All rights reserved.

[Expert consensus on prescription comment of Chinese traditional patent medicine for promoting the rational use of drugs in Beijing].

PubMed

Jin, Rui; Zhao, Kui-Jun; Guo, Gui-Ming; Zhang, Bing; Wang, Yu-Guang; Xue, Chun-Miao; Yang, Yi-Heng; Wang, Li-Xia; Li, Guo-Hui; Tang, Jin-Fa; Nie, Li-Xing; Zhang, Xiang-Lin; Zhao, Ting-Ting; Zhang, Yi; Yan, Can; Yuan, Suo-Zhong; Sun, Lu-Lu; Feng, Xing-Zhong; Yan, Dan

2018-03-01

With the growth of number of Chinese patent medicines and clinical use, the rational use of Chinese medicine is becoming more and more serious. Due to the complexity of Chinese medicine theory and the uncertainty of clinical application, the prescription review of Chinese patent medicine always relied on experience in their respective, leading to the uncontrolled of clinical rational use. According to the traditional Chinese medicine (TCM) theory and characteristics of the unique clinical therapeutics, based on the practice experience and expertise comments, our paper formed the expert consensus on the prescription review of Chinese traditional patent medicine for promoting the rational use of drugs in Beijing. The objective, methods and key points of prescription review of Chinese patent medicine, were included in this expert consensus, in order to regulate the behavior of prescription and promote rational drug use. Copyright© by the Chinese Pharmaceutical Association.

Large scale healthcare data integration and analysis using the semantic web.

PubMed

Timm, John; Renly, Sondra; Farkash, Ariel

2011-01-01

Healthcare data interoperability can only be achieved when the semantics of the content is well defined and consistently implemented across heterogeneous data sources. Achieving these objectives of interoperability requires the collaboration of experts from several domains. This paper describes tooling that integrates Semantic Web technologies with common tools to facilitate cross-domain collaborative development for the purposes of data interoperability. Our approach is divided into stages of data harmonization and representation, model transformation, and instance generation. We applied our approach on Hypergenes, an EU funded project, where we use our method to the Essential Hypertension disease model using a CDA template. Our domain expert partners include clinical providers, clinical domain researchers, healthcare information technology experts, and a variety of clinical data consumers. We show that bringing Semantic Web technologies into the healthcare interoperability toolkit increases opportunities for beneficial collaboration thus improving patient care and clinical research outcomes.

Simulation-trained junior residents perform better than general surgeons on advanced laparoscopic cases.

PubMed

Boza, Camilo; León, Felipe; Buckel, Erwin; Riquelme, Arnoldo; Crovari, Fernando; Martínez, Jorge; Aggarwal, Rajesh; Grantcharov, Teodor; Jarufe, Nicolás; Varas, Julián

2017-01-01

Multiple simulation training programs have demonstrated that effective transfer of skills can be attained and applied into a more complex scenario, but evidence regarding transfer to the operating room is limited. To assess junior residents trained with simulation performing an advanced laparoscopic procedure in the OR and compare results to those of general surgeons without simulation training and expert laparoscopic surgeons. Experimental study: After a validated 16-session advanced laparoscopy simulation training program, junior trainees were compared to general surgeons (GS) with no simulation training and expert bariatric surgeons (BS) in performing a stapled jejuno-jejunostomy (JJO) in the OR. Global rating scale (GRS) and specific rating scale scores, operative time and the distance traveled by both hands measured with a tracking device, were assessed. In addition, all perioperative and immediate postoperative morbidities were registered. Ten junior trainees, 12 GS and 5 BS experts were assessed performing a JJO in the OR. All trainees completed the entire JJO in the OR without any takeovers by the BS. Six (50 %) BS takeovers took place in the GS group. Trainees had significantly better results in all measured outcomes when compared to GS with considerable higher GRS median [19.5 (18.8-23.5) vs. 12 (9-13.8) p < 0.001] and lower operative time. One morbidity was registered; a patient in the trainees group was readmitted at postoperative day 10 for mechanical ileus that resolved with medical treatment. This study demonstrated transfer of advanced laparoscopic skills acquired through a simulated training program in novice surgical residents to the OR.

Objective assessment of gynecologic laparoscopic skills using the LapSimGyn virtual reality simulator.

PubMed

Larsen, C R; Grantcharov, T; Aggarwal, R; Tully, A; Sørensen, J L; Dalsgaard, T; Ottesen, B

2006-09-01

Safe realistic training and unbiased quantitative assessment of technical skills are required for laparoscopy. Virtual reality (VR) simulators may be useful tools for training and assessing basic and advanced surgical skills and procedures. This study aimed to investigate the construct validity of the LapSimGyn VR simulator, and to determine the learning curves of gynecologists with different levels of experience. For this study, 32 gynecologic trainees and consultants (juniors or seniors) were allocated into three groups: novices (0 advanced laparoscopic procedures), intermediate level (>20 and <60 procedures), and experts (>100 procedures). All performed 10 sets of simulations consisting of three basic skill tasks and an ectopic pregnancy program. The simulations were carried out on 3 days within a maximum period of 2 weeks. Assessment of skills was based on time, economy of movement, and error parameters measured by the simulator. The data showed that expert gynecologists performed significantly and consistently better than intermediate and novice gynecologists. The learning curves differed significantly between the groups, showing that experts start at a higher level and more rapidly reach the plateau of their learning curve than do intermediate and novice groups of surgeons. The LapSimGyn VR simulator package demonstrates construct validity on both the basic skills module and the procedural gynecologic module for ectopic pregnancy. Learning curves can be obtained, but to reach the maximum performance for the more complex tasks, 10 repetitions do not seem sufficient at the given task level and settings. LapSimGyn also seems to be flexible and widely accepted by the users.

Are Clinicians Better Than Lay Judges at Recalling Case Details? An Evaluation of Expert Memory.

PubMed

Webb, Christopher A; Keeley, Jared W; Eakin, Deborah K

2016-04-01

This study examined the role of expertise in clinicians' memory for case details. Clinicians' diagnostic formulations may afford mechanisms for retaining and retrieving information. Experts (N = 41; 47.6% males, 23.8% females; 28.6% did not report gender; age: mean [M] = 54.69) were members of the American Board of Professional Psychologists. Lay judges (N = 156; 25.4% males, 74.1% females; age: M = 18.85) were undergraduates enrolled in general psychology. Three vignettes were presented to each group, creating a 2 (group: expert, lay judge) x 3 (vignettes: simple, complex-coherent, complex-incoherent) mixed factorial design. Recall accuracy for vignette details was the dependent variable. Data analyses used multivariate analyses of variance to detect group differences among multiple continuous variables. Experts recalled more information than lay judges, overall. However, experts also exhibited more false memories for the complex-incoherent case because of their schema-based knowledge. This study supported clinical expertise as beneficial. Nonetheless, negative influences from experts' schema-based knowledge, as exhibited, could adversely affect clinical practices. © 2016 Wiley Periodicals, Inc.

Determining clinical practice of expert physiotherapy for patients undergoing lumbar spinal fusion: a cross-sectional survey study.

PubMed

Janssen, Esther R C; Scheijen, Elle E M; van Meeteren, Nico L U; de Bie, Rob A; Lenssen, Anton F; Willems, Paul C; Hoogeboom, Thomas J

2016-05-01

To determine the content of current Dutch expert hospital physiotherapy practice for patients undergoing lumbar spinal fusion (LSF), to gain insight into expert-based clinical practice. At each hospital where LSF is performed, one expert physiotherapist received an e-mailed questionnaire, about pre- and postoperative physiotherapy and discharge after LSF. The level of uniformity in goals and interventions was graded on a scale from no uniformity (50-60 %) to very strong uniformity (91-100 %). LSF was performed at 34 of the 67 contacted hospitals. From those 34 hospitals, 28 (82 %) expert physiotherapists completed the survey. Twenty-one percent of the respondents saw patients preoperatively, generally to provide information. Stated postoperative goals and administered interventions focused mainly on performing transfers safely and keeping the patient informed. Outcome measures were scarcely used. There was no uniformity regarding advice on the activities of daily living. Dutch perioperative expert physiotherapy for patients undergoing LSF is variable and lacks structural outcome assessment. Studies evaluating the effectiveness of best-practice physiotherapy are warranted.

How novice, skilled and advanced clinical researchers include variables in a case report form for clinical research: a qualitative study

PubMed Central

Chu, Hongling; Zeng, Lin; Fetters, Micheal D; Li, Nan; Tao, Liyuan; Shi, Yanyan; Zhang, Hua; Wang, Xiaoxiao; Li, Fengwei; Zhao, Yiming

2017-01-01

Objectives Despite varying degrees in research training, most academic clinicians are expected to conduct clinical research. The objective of this research was to understand how clinical researchers of different skill levels include variables in a case report form for their clinical research. Setting The setting for this research was a major academic institution in Beijing, China. Participants The target population was clinical researchers with three levels of experience, namely, limited clinical research experience, clinicians with rich clinical research experience and clinical research experts. Methods Using a qualitative approach, we conducted 13 individual interviews (face to face) and one group interview (n=4) with clinical researchers from June to September 2016. Based on maximum variation sampling to identify researchers with three levels of research experience: eight clinicians with limited clinical research experience, five clinicians with rich clinical research experience and four clinical research experts. These 17 researchers had diverse hospital-based medical specialties and or specialisation in clinical research. Results Our analysis yields a typology of three processes developing a case report form that varies according to research experience level. Novice clinician researchers often have an incomplete protocol or none at all, and conduct data collection and publication based on a general framework. Experienced clinician researchers include variables in the case report form based on previous experience with attention to including domains or items at risk for omission and by eliminating unnecessary variables. Expert researchers consider comprehensively in advance data collection and implementation needs and plan accordingly. Conclusion These results illustrate increasing levels of sophistication in research planning that increase sophistication in selection for variables in the case report form. These findings suggest that novice and intermediate-level researchers could benefit by emulating the comprehensive planning procedures such as those used by expert clinical researchers. PMID:28928184

How novice, skilled and advanced clinical researchers include variables in a case report form for clinical research: a qualitative study.

PubMed

Chu, Hongling; Zeng, Lin; Fetters, Micheal D; Li, Nan; Tao, Liyuan; Shi, Yanyan; Zhang, Hua; Wang, Xiaoxiao; Li, Fengwei; Zhao, Yiming

2017-09-18

Despite varying degrees in research training, most academic clinicians are expected to conduct clinical research. The objective of this research was to understand how clinical researchers of different skill levels include variables in a case report form for their clinical research. The setting for this research was a major academic institution in Beijing, China. The target population was clinical researchers with three levels of experience, namely, limited clinical research experience, clinicians with rich clinical research experience and clinical research experts. Using a qualitative approach, we conducted 13 individual interviews (face to face) and one group interview (n=4) with clinical researchers from June to September 2016. Based on maximum variation sampling to identify researchers with three levels of research experience: eight clinicians with limited clinical research experience, five clinicians with rich clinical research experience and four clinical research experts. These 17 researchers had diverse hospital-based medical specialties and or specialisation in clinical research. Our analysis yields a typology of three processes developing a case report form that varies according to research experience level. Novice clinician researchers often have an incomplete protocol or none at all, and conduct data collection and publication based on a general framework. Experienced clinician researchers include variables in the case report form based on previous experience with attention to including domains or items at risk for omission and by eliminating unnecessary variables. Expert researchers consider comprehensively in advance data collection and implementation needs and plan accordingly. These results illustrate increasing levels of sophistication in research planning that increase sophistication in selection for variables in the case report form. These findings suggest that novice and intermediate-level researchers could benefit by emulating the comprehensive planning procedures such as those used by expert clinical researchers. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

COMPARISON OF METHODS FOR ESTIMATING CONTEMPORARY COSTS: AN APPLICATION TO LIVER TRANSPLANTATION IN THE UNITED KINGDOM.

PubMed

Singh, Jeshika; Longworth, Louise

2017-01-01

Our study addresses the important issue of estimating treatment costs from historical data. It is a problem frequently faced by health technology assessment analysts. We compared four approaches used to estimate current costs when good quality contemporary data are not available using liver transplantation as an example. First, the total cost estimates extracted for patients from a cohort study, conducted in the 1990s, were inflated using a published inflation multiplier. Second, resource use estimates from the cohort study were extracted for hepatitis C patients and updated using current unit costs. Third, expert elicitation was carried out to identify changes in clinical practice over time and quantify current resource use. Fourth, routine data on resource use were obtained from National Health Service Blood and Transplant (NHSBT). The first two methods did not account for changes in clinical practice. Also the first was not specific to hepatitis patients. The use of experts confirmed significant changes in clinical practice. However, the quantification of resource use using experts is challenging as clinical specialists may not have a complete overview of clinical pathway. The NHSBT data are the most accurate reflection of transplantation and posttransplantation phase; however, data were not available for the whole pathway of care. The best estimate of total cost, combining NHSBT data and expert elicitation, is £121,211. Observational data from routine care are potentially the most reliable reflection of current resource use. Efforts should be made to make such data readily available and accessible to researchers. Expert elicitation provided reasonable estimates.

Implications of Placebo and Nocebo Effects for Clinical Practice: Expert Consensus.

PubMed

Evers, Andrea W M; Colloca, Luana; Blease, Charlotte; Annoni, Marco; Atlas, Lauren Y; Benedetti, Fabrizio; Bingel, Ulrike; Büchel, Christian; Carvalho, Claudia; Colagiuri, Ben; Crum, Alia J; Enck, Paul; Gaab, Jens; Geers, Andrew L; Howick, Jeremy; Jensen, Karin B; Kirsch, Irving; Meissner, Karin; Napadow, Vitaly; Peerdeman, Kaya J; Raz, Amir; Rief, Winfried; Vase, Lene; Wager, Tor D; Wampold, Bruce E; Weimer, Katja; Wiech, Katja; Kaptchuk, Ted J; Klinger, Regine; Kelley, John M

2018-06-12

Placebo and nocebo effects occur in clinical or laboratory medical contexts after administration of an inert treatment or as part of active treatments and are due to psychobiological mechanisms such as expectancies of the patient. Placebo and nocebo studies have evolved from predominantly methodological research into a far-reaching interdisciplinary field that is unravelling the neurobiological, behavioural and clinical underpinnings of these phenomena in a broad variety of medical conditions. As a consequence, there is an increasing demand from health professionals to develop expert recommendations about evidence-based and ethical use of placebo and nocebo effects for clinical practice. A survey and interdisciplinary expert meeting by invitation was organized as part of the 1st Society for Interdisciplinary Placebo Studies (SIPS) conference in 2017. Twenty-nine internationally recognized placebo researchers participated. There was consensus that maximizing placebo effects and minimizing nocebo effects should lead to better treatment outcomes with fewer side effects. Experts particularly agreed on the importance of informing patients about placebo and nocebo effects and training health professionals in patient-clinician communication to maximize placebo and minimize nocebo effects. The current paper forms a first step towards developing evidence-based and ethical recommendations about the implications of placebo and nocebo research for medical practice, based on the current state of evidence and the consensus of experts. Future research might focus on how to implement these recommendations, including how to optimize conditions for educating patients about placebo and nocebo effects and providing training for the implementation in clinical practice. © 2018 S. Karger AG, Basel.

A prototype knowledge-based simulation support system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hill, T.R.; Roberts, S.D.

1987-04-01

As a preliminary step toward the goal of an intelligent automated system for simulation modeling support, we explore the feasibility of the overall concept by generating and testing a prototypical framework. A prototype knowledge-based computer system was developed to support a senior level course in industrial engineering so that the overall feasibility of an expert simulation support system could be studied in a controlled and observable setting. The system behavior mimics the diagnostic (intelligent) process performed by the course instructor and teaching assistants, finding logical errors in INSIGHT simulation models and recommending appropriate corrective measures. The system was programmed inmore » a non-procedural language (PROLOG) and designed to run interactively with students working on course homework and projects. The knowledge-based structure supports intelligent behavior, providing its users with access to an evolving accumulation of expert diagnostic knowledge. The non-procedural approach facilitates the maintenance of the system and helps merge the roles of expert and knowledge engineer by allowing new knowledge to be easily incorporated without regard to the existing flow of control. The background, features and design of the system are describe and preliminary results are reported. Initial success is judged to demonstrate the utility of the reported approach and support the ultimate goal of an intelligent modeling system which can support simulation modelers outside the classroom environment. Finally, future extensions are suggested.« less

The composite load spectra project

NASA Technical Reports Server (NTRS)

Newell, J. F.; Ho, H.; Kurth, R. E.

1990-01-01

Probabilistic methods and generic load models capable of simulating the load spectra that are induced in space propulsion system components are being developed. Four engine component types (the transfer ducts, the turbine blades, the liquid oxygen posts and the turbopump oxidizer discharge duct) were selected as representative hardware examples. The composite load spectra that simulate the probabilistic loads for these components are typically used as the input loads for a probabilistic structural analysis. The knowledge-based system approach used for the composite load spectra project provides an ideal environment for incremental development. The intelligent database paradigm employed in developing the expert system provides a smooth coupling between the numerical processing and the symbolic (information) processing. Large volumes of engine load information and engineering data are stored in database format and managed by a database management system. Numerical procedures for probabilistic load simulation and database management functions are controlled by rule modules. Rules were hard-wired as decision trees into rule modules to perform process control tasks. There are modules to retrieve load information and models. There are modules to select loads and models to carry out quick load calculations or make an input file for full duty-cycle time dependent load simulation. The composite load spectra load expert system implemented today is capable of performing intelligent rocket engine load spectra simulation. Further development of the expert system will provide tutorial capability for users to learn from it.

Development and Validation of a Novel Robotic Procedure Specific Simulation Platform: Partial Nephrectomy.

PubMed

Hung, Andrew J; Shah, Swar H; Dalag, Leonard; Shin, Daniel; Gill, Inderbir S

2015-08-01

We developed a novel procedure specific simulation platform for robotic partial nephrectomy. In this study we prospectively evaluate its face, content, construct and concurrent validity. This hybrid platform features augmented reality and virtual reality. Augmented reality involves 3-dimensional robotic partial nephrectomy surgical videos overlaid with virtual instruments to teach surgical anatomy, technical skills and operative steps. Advanced technical skills are assessed with an embedded full virtual reality renorrhaphy task. Participants were classified as novice (no surgical training, 15), intermediate (less than 100 robotic cases, 13) or expert (100 or more robotic cases, 14) and prospectively assessed. Cohort performance was compared with the Kruskal-Wallis test (construct validity). Post-study questionnaire was used to assess the realism of simulation (face validity) and usefulness for training (content validity). Concurrent validity evaluated correlation between virtual reality renorrhaphy task and a live porcine robotic partial nephrectomy performance (Spearman's analysis). Experts rated the augmented reality content as realistic (median 8/10) and helpful for resident/fellow training (8.0-8.2/10). Experts rated the platform highly for teaching anatomy (9/10) and operative steps (8.5/10) but moderately for technical skills (7.5/10). Experts and intermediates outperformed novices (construct validity) in efficiency (p=0.0002) and accuracy (p=0.002). For virtual reality renorrhaphy, experts outperformed intermediates on GEARS metrics (p=0.002). Virtual reality renorrhaphy and in vivo porcine robotic partial nephrectomy performance correlated significantly (r=0.8, p <0.0001) (concurrent validity). This augmented reality simulation platform displayed face, content and construct validity. Performance in the procedure specific virtual reality task correlated highly with a porcine model (concurrent validity). Future efforts will integrate procedure specific virtual reality tasks and their global assessment. Copyright © 2015 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Do Expert Clinical Teachers Have a Shared Understanding of What Constitutes a Competent Reasoning Performance in Case-Based Teaching?

ERIC Educational Resources Information Center

Gauthier, Geneviève; Lajoie, Susanne P.

2014-01-01

To explore the assessment challenge related to case based learning we study how experienced clinical teachers--i.e., those who regularly teach and assess case-based learning--conceptualize the notion of competent reasoning performance for specific teaching cases. Through an in-depth qualitative case study of five expert teachers, we investigate…

The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries.

PubMed

Renom-Guiteras, Anna; Meyer, Gabriele; Thürmann, Petra A

2015-07-01

The aim of the study was to develop a European list of potentially inappropriate medications (PIM) for older people, which can be used for the analysis and comparison of prescribing patterns across European countries and for clinical practice. A preliminary PIM list was developed, based on the German PRISCUS list of potentially inappropriate medications and other PIM lists from the USA, Canada and France. Thirty experts on geriatric prescribing from Estonia, Finland, France, the Netherlands, Spain and Sweden participated; eight experts performed a structured expansion of the list, suggesting further medications; twenty-seven experts participated in a two-round Delphi survey assessing the appropriateness of drugs and suggesting dose adjustments and therapeutic alternatives. Finally, twelve experts completed a brief final survey to decide upon issues requiring further consensus. Experts reached a consensus that 282 chemical substances or drug classes from 34 therapeutic groups are PIM for older people; some PIM are restricted to a certain dose or duration of use. The PIM list contains suggestions for dose adjustments and therapeutic alternatives. The European Union (EU)(7)-PIM list is a screening tool, developed with participation of experts from seven European countries, that allows identification and comparison of PIM prescribing patterns for older people across European countries. It can also be used as a guide in clinical practice, although it does not substitute the decision-making process of individualised prescribing for older people. Further research is needed to investigate the feasibility and applicability and, finally, the clinical benefits of the newly developed list.

A clinical decision support system for diagnosis of Allergic Rhinitis based on intradermal skin tests.

PubMed

Jabez Christopher, J; Khanna Nehemiah, H; Kannan, A

2015-10-01

Allergic Rhinitis is a universal common disease, especially in populated cities and urban areas. Diagnosis and treatment of Allergic Rhinitis will improve the quality of life of allergic patients. Though skin tests remain the gold standard test for diagnosis of allergic disorders, clinical experts are required for accurate interpretation of test outcomes. This work presents a clinical decision support system (CDSS) to assist junior clinicians in the diagnosis of Allergic Rhinitis. Intradermal Skin tests were performed on patients who had plausible allergic symptoms. Based on patient׳s history, 40 clinically relevant allergens were tested. 872 patients who had allergic symptoms were considered for this study. The rule based classification approach and the clinical test results were used to develop and validate the CDSS. Clinical relevance of the CDSS was compared with the Score for Allergic Rhinitis (SFAR). Tests were conducted for junior clinicians to assess their diagnostic capability in the absence of an expert. The class based Association rule generation approach provides a concise set of rules that is further validated by clinical experts. The interpretations of the experts are considered as the gold standard. The CDSS diagnoses the presence or absence of rhinitis with an accuracy of 88.31%. The allergy specialist and the junior clinicians prefer the rule based approach for its comprehendible knowledge model. The Clinical Decision Support Systems with rule based classification approach assists junior doctors and clinicians in the diagnosis of Allergic Rhinitis to make reliable decisions based on the reports of intradermal skin tests. Copyright © 2015 Elsevier Ltd. All rights reserved.

Dramatically Polarized Opinion on the Role of Brachytherapy Boost in Management of High-risk Prostate Cancer: A Survey of North American Genitourinary Expert Radiation Oncologists.

PubMed

McClelland, Shearwood; Sandler, Kiri A; Degnin, Catherine; Chen, Yiyi; Mitin, Timur

2018-06-01

Three randomized clinical trials have established brachytherapy (BT) boost in combination with external beam radiation therapy (EBRT) and androgen deprivation therapy (ADT) as superior to definitive EBRT and ADT alone in terms of biochemical control (but not overall survival) at the expense of increased toxicity in men with high-risk (HR) prostate cancer (PCa). The current view regarding these 2 treatment algorithms among North American genitourinary (GU) experts is not known. A survey was distributed to 88 practicing North American GU physicians serving on decision-making committees of cooperative group research organizations. Questions pertained to opinions regarding BT as monotherapy for low-risk PCa and BT boost for HR PCa. Responders were asked to self-identify as BT experts versus non-experts. Treatment recommendations were correlated with practice patterns using the Fisher exact test. Forty-two radiation oncologists completed the survey, of whom 23 (55%) recommend EBRT and ADT alone and 19 (45%) recommend addition of BT boost. Twenty-five participants (60%) identified themselves as BT experts. Nearly 90% of those recommending BT boost were BT experts versus approximately 10% of non-BT experts (P < .001). Responders who recommended BT monotherapy as first-choice treatment for low-risk PCa were more likely to recommend BT boost for HR PCa (P < .0001). There is a dramatic polarization in opinions regarding incorporation of BT boost into EBRT + ADT therapy for patients with HR PCa among North American GU radiation oncology experts, who serve on decision-making committees and influence the national treatment guidelines and future clinical trials. Those who identify themselves as BT experts are significantly more likely to recommend BT boost. These findings are likely to influence the national guidelines and implementation of BT boost in current and future North American PCa clinical studies. Copyright © 2018 Elsevier Inc. All rights reserved.

CONFIG - Adapting qualitative modeling and discrete event simulation for design of fault management systems

NASA Technical Reports Server (NTRS)

Malin, Jane T.; Basham, Bryan D.

1989-01-01

CONFIG is a modeling and simulation tool prototype for analyzing the normal and faulty qualitative behaviors of engineered systems. Qualitative modeling and discrete-event simulation have been adapted and integrated, to support early development, during system design, of software and procedures for management of failures, especially in diagnostic expert systems. Qualitative component models are defined in terms of normal and faulty modes and processes, which are defined by invocation statements and effect statements with time delays. System models are constructed graphically by using instances of components and relations from object-oriented hierarchical model libraries. Extension and reuse of CONFIG models and analysis capabilities in hybrid rule- and model-based expert fault-management support systems are discussed.

Reliability of Classifying Multiple Sclerosis Disease Activity Using Magnetic Resonance Imaging in a Multiple Sclerosis Clinic

PubMed Central

Altay, Ebru Erbayat; Fisher, Elizabeth; Jones, Stephen E.; Hara-Cleaver, Claire; Lee, Jar-Chi; Rudick, Richard A.

2013-01-01

Objective To assess the reliability of new magnetic resonance imaging (MRI) lesion counts by clinicians in a multiple sclerosis specialty clinic. Design An observational study. Setting A multiple sclerosis specialty clinic. Patients Eighty-five patients with multiple sclerosis participating in a National Institutes of Health–supported longitudinal study were included. Intervention Each patient had a brain MRI scan at entry and 6 months later using a standardized protocol. Main Outcome Measures The number of new T2 lesions, newly enlarging T2 lesions, and gadolinium-enhancing lesions were measured on the 6-month MRI using a computer-based image analysis program for the original study. For this study, images were reanalyzed by an expert neuroradiologist and 3 clinician raters. The neuroradiologist evaluated the original image pairs; the clinicians evaluated image pairs that were modified to simulate clinical practice. New lesion counts were compared across raters, as was classification of patients as MRI active or inactive. Results Agreement on lesion counts was highest for gadolinium-enhancing lesions, intermediate for new T2 lesions, and poor for enlarging T2 lesions. In 18% to 25% of the cases, MRI activity was classified differently by the clinician raters compared with the neuroradiologist or computer program. Variability among the clinical raters for estimates of new T2 lesions was affected most strongly by the image modifications that simulated low image quality and different head position. Conclusions Between-rater variability in new T2 lesion counts may be reduced by improved standardization of image acquisitions, but this approach may not be practical in most clinical environments. Ultimately, more reliable, robust, and accessible image analysis methods are needed for accurate multiple sclerosis disease-modifying drug monitoring and decision making in the routine clinic setting. PMID:23599930

Knowledge of Fecal Calprotectin and Infliximab Trough Levels Alters Clinical Decision-making for IBD Outpatients on Maintenance Infliximab Therapy.

PubMed

Huang, Vivian W; Prosser, Connie; Kroeker, Karen I; Wang, Haili; Shalapay, Carol; Dhami, Neil; Fedorak, Darryl K; Halloran, Brendan; Dieleman, Levinus A; Goodman, Karen J; Fedorak, Richard N

2015-06-01

Infliximab is an effective therapy for inflammatory bowel disease (IBD). However, more than 50% of patients lose response. Empiric dose intensification is not effective for all patients because not all patients have objective disease activity or subtherapeutic drug level. The aim was to determine how an objective marker of disease activity or therapeutic drug monitoring affects clinical decisions regarding maintenance infliximab therapy in outpatients with IBD. Consecutive patients with IBD on maintenance infliximab therapy were invited to participate by providing preinfusion stool and blood samples. Fecal calprotectin (FCP) and infliximab trough levels (ITLs) were measured by enzyme linked immunosorbent assay. Three decisions were compared: (1) actual clinical decision, (2) algorithmic FCP or ITL decisions, and (3) expert panel decision based on (a) clinical data, (b) clinical data plus FCP, and (c) clinical data plus FCP plus ITL. In secondary analysis, Receiver-operating curves were used to assess the ability of FCP and ITL in predicting clinical disease activity or remission. A total of 36 sets of blood and stool were available for analysis; median FCP 191.5 μg/g, median ITLs 7.3 μg/mL. The actual clinical decision differed from the hypothetical decision in 47.2% (FCP algorithm); 69.4% (ITL algorithm); 25.0% (expert panel clinical decision); 44.4% (expert panel clinical plus FCP); 58.3% (expert panel clinical plus FCP plus ITL) cases. FCP predicted clinical relapse (area under the curve [AUC] = 0.417; 95% confidence interval [CI], 0.197-0.641) and subtherapeutic ITL (AUC = 0.774; 95% CI, 0.536-1.000). ITL predicted clinical remission (AUC = 0.498; 95% CI, 0.254-0.742) and objective remission (AUC = 0.773; 95% CI, 0.622-0.924). Using FCP and ITLs in addition to clinical data results in an increased number of decisions to optimize management in outpatients with IBD on stable maintenance infliximab therapy.

Design-Based Comparison of Spine Surgery Simulators: Optimizing Educational Features of Surgical Simulators.

PubMed

Ryu, Won Hyung A; Mostafa, Ahmed E; Dharampal, Navjit; Sharlin, Ehud; Kopp, Gail; Jacobs, W Bradley; Hurlbert, R John; Chan, Sonny; Sutherland, Garnette R

2017-10-01

Simulation-based education has made its entry into surgical residency training, particularly as an adjunct to hands-on clinical experience. However, one of the ongoing challenges to wide adoption is the capacity of simulators to incorporate educational features required for effective learning. The aim of this study was to identify strengths and limitations of spine simulators to characterize design elements that are essential in enhancing resident education. We performed a mixed qualitative and quantitative cohort study with a focused survey and interviews of stakeholders in spine surgery pertaining to their experiences on 3 spine simulators. Ten participants were recruited spanning all levels of training and expertise until qualitative analysis reached saturation of themes. Participants were asked to perform lumbar pedicle screw insertion on 3 simulators. Afterward, a 10-item survey was administrated and a focused interview was conducted to explore topics pertaining to the design features of the simulators. Overall impressions of the simulators were positive with regards to their educational benefit, but our qualitative analysis revealed differing strengths and limitations. Main design strengths of the computer-based simulators were incorporation of procedural guidance and provision of performance feedback. The synthetic model excelled in achieving more realistic haptic feedback and incorporating use of actual surgical tools. Stakeholders from trainees to experts acknowledge the growing role of simulation-based education in spine surgery. However, different simulation modalities have varying design elements that augment learning in distinct ways. Characterization of these design characteristics will allow for standardization of simulation curricula in spinal surgery, optimizing educational benefit. Copyright © 2017 Elsevier Inc. All rights reserved.

Move to the head of the class: developing staff nurses as teachers.

PubMed

Donner, Carol L; Levonian, Catherine; Slutsky, Phyllis

2005-01-01

Nurses, while clinical experts in their specific fields, rarely have an opportunity to learn and practice teaching skills needed in an educator role. Clinical experts experience anxiety when asked to make the transition from a clinical environment to the teaching role. This article describes a 4-hour program developed to train nurses to become teachers. Adult learning principles, learning styles, and curriculum development were included to demonstrate the skills necessary to help nurses become proficient teachers.

An expert system to manage the operation of the Space Shuttle's fuel cell cryogenic reactant tanks

NASA Technical Reports Server (NTRS)

Murphey, Amy Y.

1990-01-01

This paper describes a rule-based expert system to manage the operation of the Space Shuttle's cryogenic fuel system. Rules are based on standard fuel tank operating procedures described in the EECOM Console Handbook. The problem of configuring the operation of the Space Shuttle's fuel tanks is well-bounded and well defined. Moreover, the solution of this problem can be encoded in a knowledge-based system. Therefore, a rule-based expert system is the appropriate paradigm. Furthermore, the expert system could be used in coordination with power system simulation software to design operating procedures for specific missions.

AutoNR: an automated system that measures ECAP thresholds with the Nucleus Freedom cochlear implant via machine intelligence.

PubMed

Botros, Andrew; van Dijk, Bas; Killian, Matthijs

2007-05-01

AutoNRT is an automated system that measures electrically evoked compound action potential (ECAP) thresholds from the auditory nerve with the Nucleus Freedom cochlear implant. ECAP thresholds along the electrode array are useful in objectively fitting cochlear implant systems for individual use. This paper provides the first detailed description of the AutoNRT algorithm and its expert systems, and reports the clinical success of AutoNRT to date. AutoNRT determines thresholds by visual detection, using two decision tree expert systems that automatically recognise ECAPs. The expert systems are guided by a dataset of 5393 neural response measurements. The algorithm approaches threshold from lower stimulus levels, ensuring recipient safety during postoperative measurements. Intraoperative measurements use the same algorithm but proceed faster by beginning at stimulus levels much closer to threshold. When searching for ECAPs, AutoNRT uses a highly specific expert system (specificity of 99% during training, 96% during testing; sensitivity of 91% during training, 89% during testing). Once ECAPs are established, AutoNRT uses an unbiased expert system to determine an accurate threshold. Throughout the execution of the algorithm, recording parameters (such as implant amplifier gain) are automatically optimised when needed. In a study that included 29 intraoperative and 29 postoperative subjects (a total of 418 electrodes), AutoNRT determined a threshold in 93% of cases where a human expert also determined a threshold. When compared to the median threshold of multiple human observers on 77 randomly selected electrodes, AutoNRT performed as accurately as the 'average' clinician. AutoNRT has demonstrated a high success rate and a level of performance that is comparable with human experts. It has been used in many clinics worldwide throughout the clinical trial and commercial launch of Nucleus Custom Sound Suite, significantly streamlining the clinical procedures associated with cochlear implant use.

Expert Baseball Batters Have Greater Sensitivity in Making Swing Decisions

ERIC Educational Resources Information Center

Gray, Rob

2010-01-01

This study used signal detection theory to conceptualize the problem a baseball batter faces when deciding whether or not to swing at a pitch. It examined the launch angle (LA) criteria used by expert (college players) and less experienced (recreational league players) batters using a baseball batting simulation. This study showed that, although…

A Simulation of AI Programming Techniques in BASIC.

ERIC Educational Resources Information Center

Mandell, Alan

1986-01-01

Explains the functions of and the techniques employed in expert systems. Offers the program "The Periodic Table Expert," as a model for using artificial intelligence techniques in BASIC. Includes the program listing and directions for its use on: Tandy 1000, 1200, and 2000; IBM PC; PC Jr; TRS-80; and Apple computers. (ML)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Larner, J.

In this interactive session, lung SBRT patient cases will be presented to highlight real-world considerations for ensuring safe and accurate treatment delivery. An expert panel of speakers will discuss challenges specific to lung SBRT including patient selection, patient immobilization techniques, 4D CT simulation and respiratory motion management, target delineation for treatment planning, online treatment alignment, and established prescription regimens and OAR dose limits. Practical examples of cases, including the patient flow thought the clinical process are presented and audience participation will be encouraged. This panel session is designed to provide case demonstration and review for lung SBRT in terms ofmore » (1) clinical appropriateness in patient selection, (2) strategies for simulation, including 4D and respiratory motion management, and (3) applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent, and (4) image guidance in treatment delivery. Learning Objectives: Understand the established requirements for patient selection in lung SBRT Become familiar with the various immobilization strategies for lung SBRT, including technology for respiratory motion management Understand the benefits and pitfalls of applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent determination for lung SBRT Understand established prescription regimes and OAR dose limits.« less

Setting performance standards for medical practice: a theoretical framework.

PubMed

Southgate, L; Hays, R B; Norcini, J; Mulholland, H; Ayers, B; Woolliscroft, J; Cusimano, M; McAvoy, P; Ainsworth, M; Haist, S; Campbell, M

2001-05-01

The assessment of performance in the real world of medical practice is now widely accepted as the goal of assessment at the postgraduate level. This is largely a validity issue, as it is recognised that tests of knowledge and in clinical simulations cannot on their own really measure how medical practitioners function in the broader health care system. However, the development of standards for performance-based assessment is not as well understood as in competency assessment, where simulations can more readily reflect narrower issues of knowledge and skills. This paper proposes a theoretical framework for the development of standards that reflect the more complex world in which experienced medical practitioners work. The paper reflects the combined experiences of a group of education researchers and the results of literature searches that included identifying current health system data sources that might contribute information to the measurement of standards. Standards that reflect the complexity of medical practice may best be developed through an "expert systems" analysis of clinical conditions for which desired health care outcomes reflect the contribution of several health professionals within a complex, three-dimensional, contextual model. Examples of the model are provided, but further work is needed to test validity and measurability.

Quantitative knowledge acquisition for expert systems

NASA Technical Reports Server (NTRS)

Belkin, Brenda L.; Stengel, Robert F.

1991-01-01

A common problem in the design of expert systems is the definition of rules from data obtained in system operation or simulation. While it is relatively easy to collect data and to log the comments of human operators engaged in experiments, generalizing such information to a set of rules has not previously been a direct task. A statistical method is presented for generating rule bases from numerical data, motivated by an example based on aircraft navigation with multiple sensors. The specific objective is to design an expert system that selects a satisfactory suite of measurements from a dissimilar, redundant set, given an arbitrary navigation geometry and possible sensor failures. The systematic development is described of a Navigation Sensor Management (NSM) Expert System from Kalman Filter convariance data. The method invokes two statistical techniques: Analysis of Variance (ANOVA) and the ID3 Algorithm. The ANOVA technique indicates whether variations of problem parameters give statistically different covariance results, and the ID3 algorithms identifies the relationships between the problem parameters using probabilistic knowledge extracted from a simulation example set. Both are detailed.

An active simulator for neonatal intubation: Design, development and assessment.

PubMed

Baldoli, Ilaria; Tognarelli, Selene; Vangi, Ferdinando; Panizza, Davide; Scaramuzzo, Rosa T; Cuttano, Armando; Laschi, Cecilia; Menciassi, Arianna

2017-01-01

This study describes the technical realization and the pre-clinical validation of a instrumented neonatal intubation skill trainer able to provide objective feedback for the improvement of clinical competences required for such a delicate procedure. The Laerdal ® Neonatal Intubation Trainer was modified by applying pressure sensors on areas that are mainly subject to stress and potential injuries. Punctual Force Sensing Resistors (FSRs) were characterized and fixed on the external side of the airway structure on the dental arches and epiglottis. A custom silicone tongue was designed and developed to integrate a matrix textile sensor for mapping the pressure applied on its whole surface. The assessment of the developed tool was performed by nine clinical experts who were asked to practice three intubation procedures apiece. Median and maximum forces, over threshold events (i.e. 2N for gingival arch sensors and 7N for epiglottis and tongue sensors respectively) and execution time were measured for each trainee. Data analysis from training sessions revealed that the epiglottis is the point mainly stressed during an intubation procedure (maximum value: 16.69N, median value: 3.11N), while the analysis carried out on the pressure distribution on the instrumented tongue provided information on both force values and distribution, according to clinicians' performance. The debriefing phase was used to enhance the clinicians' awareness of applied force and gestures performed, confirming that the present study is an adequate starting point for achieving and optimizing neonatal intubation skills for both residents and expert clinicians. Copyright © 2016 IPEM. Published by Elsevier Ltd. All rights reserved.

Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability.

PubMed

Campbell, J Peter; Kalpathy-Cramer, Jayashree; Erdogmus, Deniz; Tian, Peng; Kedarisetti, Dharanish; Moleta, Chace; Reynolds, James D; Hutcheson, Kelly; Shapiro, Michael J; Repka, Michael X; Ferrone, Philip; Drenser, Kimberly; Horowitz, Jason; Sonmez, Kemal; Swan, Ryan; Ostmo, Susan; Jonas, Karyn E; Chan, R V Paul; Chiang, Michael F

2016-11-01

To identify patterns of interexpert discrepancy in plus disease diagnosis in retinopathy of prematurity (ROP). We developed 2 datasets of clinical images as part of the Imaging and Informatics in ROP study and determined a consensus reference standard diagnosis (RSD) for each image based on 3 independent image graders and the clinical examination results. We recruited 8 expert ROP clinicians to classify these images and compared the distribution of classifications between experts and the RSD. Eight participating experts with more than 10 years of clinical ROP experience and more than 5 peer-reviewed ROP publications who analyzed images obtained during routine ROP screening in neonatal intensive care units. Expert classification of images of plus disease in ROP. Interexpert agreement (weighted κ statistic) and agreement and bias on ordinal classification between experts (analysis of variance [ANOVA]) and the RSD (percent agreement). There was variable interexpert agreement on diagnostic classifications between the 8 experts and the RSD (weighted κ, 0-0.75; mean, 0.30). The RSD agreement ranged from 80% to 94% for the dataset of 100 images and from 29% to 79% for the dataset of 34 images. However, when images were ranked in order of disease severity (by average expert classification), the pattern of expert classification revealed a consistent systematic bias for each expert consistent with unique cut points for the diagnosis of plus disease and preplus disease. The 2-way ANOVA model suggested a highly significant effect of both image and user on the average score (dataset A: P < 0.05 and adjusted R 2  = 0.82; and dataset B: P < 0.05 and adjusted R 2  = 0.6615). There is wide variability in the classification of plus disease by ROP experts, which occurs because experts have different cut points for the amounts of vascular abnormality required for presence of plus and preplus disease. This has important implications for research, teaching, and patient care for ROP and suggests that a continuous ROP plus disease severity score may reflect more accurately the behavior of expert ROP clinicians and may better standardize classification in the future. Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Myocardial Infarct Segmentation from Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology

PubMed Central

Ukwatta, Eranga; Arevalo, Hermenegild; Li, Kristina; Yuan, Jing; Qiu, Wu; Malamas, Peter; Wu, Katherine C.

2016-01-01

Accurate representation of myocardial infarct geometry is crucial to patient-specific computational modeling of the heart in ischemic cardiomyopathy. We have developed a methodology for segmentation of left ventricular (LV) infarct from clinically acquired, two-dimensional (2D), late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) images, for personalized modeling of ventricular electrophysiology. The infarct segmentation was expressed as a continuous min-cut optimization problem, which was solved using its dual formulation, the continuous max-flow (CMF). The optimization objective comprised of a smoothness term, and a data term that quantified the similarity between image intensity histograms of segmented regions and those of a set of training images. A manual segmentation of the LV myocardium was used to initialize and constrain the developed method. The three-dimensional geometry of infarct was reconstructed from its segmentation using an implicit, shape-based interpolation method. The proposed methodology was extensively evaluated using metrics based on geometry, and outcomes of individualized electrophysiological simulations of cardiac dys(function). Several existing LV infarct segmentation approaches were implemented, and compared with the proposed method. Our results demonstrated that the CMF method was more accurate than the existing approaches in reproducing expert manual LV infarct segmentations, and in electrophysiological simulations. The infarct segmentation method we have developed and comprehensively evaluated in this study constitutes an important step in advancing clinical applications of personalized simulations of cardiac electrophysiology. PMID:26731693

Expert nurses' clinical reasoning under uncertainty: representation, structure, and process.

PubMed Central

Fonteyn, M. E.; Grobe, S. J.

1992-01-01

How do expert nurses reason when planning care and making clinical decisions for a patient who is at risk, and whose outcome is uncertain? In this study, a case study involving a critically ill elderly woman whose condition deteriorated over time, was presented in segments to ten expert critical care nurses. Think aloud method was used to elicit knowledge from these experts to provide conceptual information about their knowledge and to reveal their reasoning processes and problem-solving strategies. The verbatim transcripts were then analyzed using a systematic three-step method that makes analysis easier and adds creditability to study findings by providing a means of retracing and explaining analysis results. Findings revealed information about how patient problems were represented during reasoning, the manner in which experts subjects structured their plan of care, and the reasoning processes and heuristics they used to formulate solutions for resolving the patient's problems and preventing deterioration in the patient's condition. PMID:1482907

Developing a systematic approach to safer medication use during pregnancy: summary of a Centers for Disease Control and Prevention--convened meeting.

PubMed

Broussard, Cheryl S; Frey, Meghan T; Hernandez-Diaz, Sonia; Greene, Michael F; Chambers, Christina D; Sahin, Leyla; Collins Sharp, Beth A; Honein, Margaret A

2014-09-01

To address information gaps that limit informed clinical decisions on medication use in pregnancy, the Centers for Disease Control and Prevention (CDC) solicited expert input on a draft prototype outlining a systematic approach to evaluating the quality and strength of existing evidence for associated risks. The draft prototype outlined a process for the systematic review of available evidence and deliberations by a panel of experts to inform clinical decision making for managing health conditions in pregnancy. At an expert meeting convened by the CDC in January 2013, participants divided into working groups discussed decision points within the prototype. This report summarizes their discussions of best practices for formulating an expert review process, developing evidence summaries and treatment guidance, and disseminating information. There is clear recognition of current knowledge gaps and a strong collaboration of federal partners, academic experts, and professional organizations willing to work together toward safer medication use during pregnancy. Published by Elsevier Inc.

Developing a systematic approach to safer medication use during pregnancy: summary of a Centers for Disease Control and Prevention—convened meeting

PubMed Central

Broussard, Cheryl S.; Frey, Meghan T.; Hernandez-Diaz, Sonia; Greene, Michael F.; Chambers, Christina D.; Sahin, Leyla; Collins Sharp, Beth A.; Honein, Margaret A.

2015-01-01

To address information gaps that limit informed clinical decisions on medication use in pregnancy, the Centers for Disease Control and Prevention (CDC) solicited expert input on a draft prototype outlining a systematic approach to evaluating the quality and strength of existing evidence for associated risks. The draft prototype outlined a process for the systematic review of available evidence and deliberations by a panel of experts to inform clinical decision making for managing health conditions in pregnancy. At an expert meeting convened by the CDC in January 2013, participants divided into working groups discussed decision points within the prototype. This report summarizes their discussions of best practices for formulating an expert review process, developing evidence summaries and treatment guidance, and disseminating information. There is clear recognition of current knowledge gaps and a strong collaboration of federal partners, academic experts, and professional organizations willing to work together toward safer medication use during pregnancy. PMID:24881821

Treatment of Childhood and Adolescent Obesity: An Integrative Review of Recent Recommendations from Five Expert Groups

ERIC Educational Resources Information Center

Kirschenbaum, Daniel S.; Gierut, Kristen

2013-01-01

Objective: To compare and contrast 5 sets of expert recommendations about the treatment of childhood and adolescent obesity. Method: We reviewed 5 sets of recent expert recommendations: 2007 health care organizations' four stage model, 2007 Canadian clinical practice guidelines, 2008 Endocrine Society recommendations, 2009 seven step model, and…

An operation support expert system based on on-line dynamics simulation and fuzzy reasoning for startup schedule optimization in fossil power plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Matsumoto, H.; Eki, Y.; Kaji, A.

1993-12-01

An expert system which can support operators of fossil power plants in creating the optimum startup schedule and executing it accurately is described. The optimum turbine speed-up and load-up pattern is obtained through an iterative manner which is based on fuzzy resonating using quantitative calculations as plant dynamics models and qualitative knowledge as schedule optimization rules with fuzziness. The rules represent relationships between stress margins and modification rates of the schedule parameters. Simulations analysis proves that the system provides quick and accurate plant startups.

Multiple neural network approaches to clinical expert systems

NASA Astrophysics Data System (ADS)

Stubbs, Derek F.

1990-08-01

We briefly review the concept of computer aided medical diagnosis and more extensively review the the existing literature on neural network applications in the field. Neural networks can function as simple expert systems for diagnosis or prognosis. Using a public database we develop a neural network for the diagnosis of a major presenting symptom while discussing the development process and possible approaches. MEDICAL EXPERTS SYSTEMS COMPUTER AIDED DIAGNOSIS Biomedicine is an incredibly diverse and multidisciplinary field and it is not surprising that neural networks with their many applications are finding more and more applications in the highly non-linear field of biomedicine. I want to concentrate on neural networks as medical expert systems for clinical diagnosis or prognosis. Expert Systems started out as a set of computerized " ifthen" rules. Everything was reduced to boolean logic and the promised land of computer experts was said to be in sight. It never came. Why? First the computer code explodes as the number of " ifs" increases. All the " ifs" have to interact. Second experts are not very good at reducing expertise to language. It turns out that experts recognize patterns and have non-verbal left-brain intuition decision processes. Third learning by example rather than learning by rule is the way natural brains works and making computers work by rule-learning is hideously labor intensive. Neural networks can learn from example. They learn the results

An Expert System And Simulation Approach For Sensor Management & Control In A Distributed Surveillance Network

NASA Astrophysics Data System (ADS)

Leon, Barbara D.; Heller, Paul R.

1987-05-01

A surveillance network is a group of multiplatform sensors cooperating to improve network performance. Network control is distributed as a measure to decrease vulnerability to enemy threat. The network may contain diverse sensor types such as radar, ESM (Electronic Support Measures), IRST (Infrared search and track) and E-0 (Electro-Optical). Each platform may contain a single sensor or suite of sensors. In a surveillance network it is desirable to control sensors to make the overall system more effective. This problem has come to be known as sensor management and control (SM&C). Two major facets of network performance are surveillance and survivability. In a netted environment, surveillance can be enhanced if information from all sensors is combined and sensor operating conditions are controlled to provide a synergistic effect. In contrast, when survivability is the main concern for the network, the best operating status for all sensors would be passive or off. Of course, improving survivability tends to degrade surveillance. Hence, the objective of SM&C is to optimize surveillance and survivability of the network. Too voluminous data of various formats and the quick response time are two characteristics of this problem which make it an ideal application for Artificial Intelligence. A solution to the SM&C problem, presented as a computer simulation, will be presented in this paper. The simulation is a hybrid production written in LISP and FORTRAN. It combines the latest conventional computer programming methods with Artificial Intelligence techniques to produce a flexible state-of-the-art tool to evaluate network performance. The event-driven simulation contains environment models coupled with an expert system. These environment models include sensor (track-while-scan and agile beam) and target models, local tracking, and system tracking. These models are used to generate the environment for the sensor management and control expert system. The expert system, driven by a forward chaining inference engine, makes decisions based on the global database. The global database contains current track and sensor information supplied by the simulation. At present, the rule base emphasizes the surveillance features with rules grouped into three main categories: maintenance and enhancing track on prioritized targets; filling coverage holes and countering jamming; and evaluating sensor status. The paper will describe the architecture used for the expert system and the reasons for selecting the chosen methods. The SM&C simulation produces a graphical representation of sensors and their associated tracks such that the benefits of the sensor management and control expert system are evident. Jammer locations are also part of the display. The paper will describe results from several scenarios that best illustrate the sensor management and control concepts.

Concept formation: a supportive process for early career nurses.

PubMed

Thornley, Tracey; West, Sandra

2010-09-01

Individuals come to understand abstract constructs such as that of the 'expert' through the formation of concepts. Time and repeated opportunity for observation to support the generalisation and abstraction of the developing concept are essential if the concept is to form successfully. Development of an effective concept of the 'expert nurse' is critical for early career nurses who are attempting to integrate theory, values and beliefs as they develop their clinical practice. This study explores the use of a concept development framework in a grounded theory study of the 'expert nurse'. Qualitative. Using grounded theory methods for data collection and analysis, semi-structured interviews were conducted with registered nurses. The participants were asked to describe their concept of the 'expert nurse' and to discuss their experience of developing this. Participants reported forming their concept of the 'expert nurse', after multiple opportunities to engage with nurses identified as 'expert'. This identification did not necessarily relate to the designated position of the 'expert nurse' or assigned mentors. When the early career nurse does not successfully form a concept of the 'expert nurse', difficulties in personal and professional development including skill/knowledge development may arise. To underpin development of their clinical practice effectively, early career nurses need to be provided with opportunities that facilitate the purposive formation of their own concept of the 'expert nurse'. Formation of this concept is not well supported by the common practice of assigning mentors. Early career nurses must be provided with the time and the opportunity to individually develop and refine their concept of the 'expert nurse'. To achieve this, strategies including providing opportunities to engage with expert nurses and discussion of the process of concept formation and its place in underpinning personal judgments may be of assistance. © 2010 Blackwell Publishing Ltd.

Implementation and outcome evaluation of high-fidelity simulation scenarios to integrate cognitive and psychomotor skills for Korean nursing students.

PubMed

Ahn, Heejung; Kim, Hyun-Young

2015-05-01

This study is involved in designing high-fidelity simulations reflecting the Korean nursing education environment. In addition, it evaluated the simulations by nursing students' learning outcomes and perceptions of the simulation design features. A quantitative design was used in two separate phases. For the first phase, five nursing experts participated in verifying the appropriateness of two simulation scenarios that reflected the intended learning objectives. For the second phase, 69 nursing students in the third year of a bachelor's degree at a nursing school participated in evaluating the simulations and were randomized according to their previous course grades. The first phase verified the two simulation scenarios using a questionnaire. The second phase evaluated students' perceptions of the simulation design, self-confidence, and critical thinking skills using a quasi-experimental post-test design. ANCOVA was used to compare the experimental and control groups, and correlation coefficient analysis was used to determine the correlation among them. We created 2 simulation scenarios to integrate cognitive and psychomotor skills according to the learning objectives and clinical environment in Korea. The experimental group had significantly higher scores on self-confidence in the first scenario. The positive correlations between perceptions of the simulation design features, self-confidence, and critical thinking skill scores were statistically significant. Students with a more positive perception of the design features of the simulations had better learning outcomes. Based on this result, simulations need to be designed and implemented with more differentiation in order to be perceived more appropriately by students. Copyright © 2015 Elsevier Ltd. All rights reserved.

The internal validity of arthroscopic simulators and their effectiveness in arthroscopic education.

PubMed

Slade Shantz, Jesse Alan; Leiter, Jeff R S; Gottschalk, Tania; MacDonald, Peter Benjamin

2014-01-01

The purpose of this systematic review was to identify standard procedures for the validation of arthroscopic simulators and determine whether simulators improve the surgical skills of users. Arthroscopic simulator validation studies and randomized trials assessing the effectiveness of arthroscopic simulators in education were identified from online databases, as well as, grey literature and reference lists. Only validation studies and randomized trials were included for review. Study heterogeneity was calculated and where appropriate, study results were combined employing a random effects model. Four hundred and thirteen studies were reviewed. Thirteen studies met the inclusion criteria assessing the construct validity of simulators. A pooled analysis of internal validation studies determined that simulators could discriminate between novice and experts, but not between novice and intermediate trainees on time of completion of a simulated task. Only one study assessed the utility of a knee simulator in training arthroscopic skills directly and demonstrated that the skill level of simulator-trained residents was greater than non-simulator-trained residents. Excessive heterogeneity exists in the literature to determine the internal and transfer validity of arthroscopic simulators currently available. Evidence suggests that simulators can discriminate between novice and expert users, but discrimination between novice and intermediate trainees in surgical education should be paramount. International standards for the assessment of arthroscopic simulator validity should be developed to increase the use and effectiveness of simulators in orthopedic surgery.

How do expert soccer players encode visual information to make decisions in simulated game situations?

PubMed

Poplu, Gérald; Ripoll, Hubert; Mavromatis, Sébastien; Baratgin, Jean

2008-09-01

The aim of this study was to determine what visual information expert soccer players encode when they are asked to make a decision. We used a repetition-priming paradigm to test the hypothesis that experts encode a soccer pattern's structure independently of the players' physical characteristics (i.e., posture and morphology). The participants were given either realistic (digital photos) or abstract (three-dimensional schematic representations) soccer game patterns. The results showed that the experts benefited from priming effects regardless of how abstract the stimuli were. This suggests that an abstract representation of a realistic pattern (i.e., one that does not include visual information related to the players'physical characteristics) is sufficient to activate experts'specific knowledge during decision making. These results seem to show that expert soccer players encode and store abstract representations of visual patterns in memory.

Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC)

PubMed Central

Caudle, Kelly E.; Dunnenberger, Henry M.; Freimuth, Robert R.; Peterson, Josh F.; Burlison, Jonathan D.; Whirl-Carrillo, Michelle; Scott, Stuart A.; Rehm, Heidi L.; Williams, Marc S.; Klein, Teri E.; Relling, Mary V.; Hoffman, James M.

2017-01-01

Introduction: Reporting and sharing pharmacogenetic test results across clinical laboratories and electronic health records is a crucial step toward the implementation of clinical pharmacogenetics, but allele function and phenotype terms are not standardized. Our goal was to develop terms that can be broadly applied to characterize pharmacogenetic allele function and inferred phenotypes. Materials and methods: Terms currently used by genetic testing laboratories and in the literature were identified. The Clinical Pharmacogenetics Implementation Consortium (CPIC) used the Delphi method to obtain a consensus and agree on uniform terms among pharmacogenetic experts. Results: Experts with diverse involvement in at least one area of pharmacogenetics (clinicians, researchers, genetic testing laboratorians, pharmacogenetics implementers, and clinical informaticians; n = 58) participated. After completion of five surveys, a consensus (>70%) was reached with 90% of experts agreeing to the final sets of pharmacogenetic terms. Discussion: The proposed standardized pharmacogenetic terms will improve the understanding and interpretation of pharmacogenetic tests and reduce confusion by maintaining consistent nomenclature. These standard terms can also facilitate pharmacogenetic data sharing across diverse electronic health care record systems with clinical decision support. Genet Med 19 2, 215–223. PMID:27441996

Experienced and less-experienced nurses' diagnostic reasoning: implications for fostering students' critical thinking.

PubMed

Ferrario, Catherine G

2003-01-01

To compare the use of mental representations (heuristics) in diagnostic reasoning of expert (> or = 5 years' experience) and novice (< 5 years' experience) emergency nurses. Clinical simulations were completed by a nationwide randomly selected sample of 173 experienced and 46 less-experienced emergency nurses (N = 219). Experienced nurses used the heuristic, Judging by Causal Systems (diagnostic inferences deduced from systems of causal factors) significantly more did than less-experienced nurses. Standardized nursing diagnoses may cut short the time needed to develop representational thinking and spare cognitive reserves for reasoning needed for complex patients. Faculty need to promote student's cognitive development through strategies that promote active, reflective, and integrative learning.

Delphi Method Validation of a Procedural Performance Checklist for Insertion of an Ultrasound-Guided Internal Jugular Central Line.

PubMed

Hartman, Nicholas; Wittler, Mary; Askew, Kim; Manthey, David

2016-01-01

Placement of ultrasound-guided central lines is a critical skill for physicians in several specialties. Improving the quality of care delivered surrounding this procedure demands rigorous measurement of competency, and validated tools to assess performance are essential. Using the iterative, modified Delphi technique and experts in multiple disciplines across the United States, the study team created a 30-item checklist designed to assess competency in the placement of ultrasound-guided internal jugular central lines. Cronbach α was .94, indicating an excellent degree of internal consistency. Further validation of this checklist will require its implementation in simulated and clinical environments. © The Author(s) 2014.

Fear of Progression in Parents of Children with Cancer: Results of An Online Expert Survey in Pediatric Oncology.

PubMed

Clever, Katharina; Schepper, Florian; Küpper, Luise; Christiansen, Holger; Martini, Julia

2018-04-01

Fear of Progression (FoP) is a commonly reported psychological strain in parents of children with cancer. This expert survey investigates how professionals in pediatric oncology estimate the burden and consequences of FoP in parents and how they assess and treat parental FoP. N=77 professionals in pediatric oncology (members and associates of the Psychosocial Association in Paediatric Oncology and Haematology, PSAPOH) were examined in an online survey with a self-developed questionnaire. Data were analyzed via descriptive statistics and qualitative content analysis. Three of four experts in clinical practice were (very) often confronted with parental FoP which was associated with more negative (e. g., psychosomatic reactions, reduced family functioning) than positive (e. g., active illness processing) consequences. N=40 experts indicated that they mainly assess parents' anxiety via clinical judgment (72.5%) and/or according to ICD-10/DSM-5 diagnostic criteria (37.5%), whereas standardized methods such as psycho-oncological questionnaires (12.5%) were applied less often. Only n=6 experts named a specific diagnostic approach to assess parental FoP. The most common treatment approaches for FoP were supportive counseling (74.0%), psychotherapy (59.7%) and/or relaxation techniques (55.8%). Parental FoP is frequently perceived by experts in clinical practice. A standardized diagnostic procedure would increase comparability of diagnostic judgments and harmonize treatment indications. © Georg Thieme Verlag KG Stuttgart · New York.

Design of an Ada expert system shell for the VHSIC avionic modular flight processor

NASA Technical Reports Server (NTRS)

Fanning, F. Jesse

1992-01-01

The Embedded Computer System Expert System Shell (ES Shell) is an Ada-based expert system shell developed at the Avionics Laboratory for use on the VHSIC Avionic Modular Processor (VAMP) running under the Ada Avionics Real-Time Software (AARTS) Operating System. The ES Shell provides the interface between the expert system and the avionics environment, and controls execution of the expert system. Testing of the ES Shell in the Avionics Laboratory's Integrated Test Bed (ITB) has demonstrated its ability to control a non-deterministic software application executing on the VAMP's which can control the ITB's real-time closed-loop aircraft simulation. The results of these tests and the conclusions reached in the design and development of the ES Shell have played an important role in the formulation of the requirements for a production-quality expert system inference engine, an ingredient necessary for the successful use of expert systems on the VAMP embedded avionic flight processor.

Expertise effects in cutaneous wind perception.

PubMed

Pluijms, Joost P; Cañal-Bruland, Rouwen; Bergmann Tiest, Wouter M; Mulder, Fabian A; Savelsbergh, Geert J P

2015-08-01

We examined whether expertise effects are present in cutaneous wind perception. To this end, we presented wind stimuli consisting of different wind directions and speeds in a wind simulator. The wind simulator generated wind stimuli from 16 directions and with three speeds by means of eight automotive wind fans. Participants were asked to judge cutaneously perceived wind directions and speeds without having access to any visual or auditory information. Expert sailors (n = 6), trained to make the most effective use of wind characteristics, were compared to less-skilled sailors (n = 6) and to a group of nonsailors (n = 6). The results indicated that expert sailors outperformed nonsailors in perceiving wind direction (i.e., smaller mean signed errors) when presented with low wind speeds. This suggests that expert sailors are more sensitive in picking up differences in wind direction, particularly when confronted with low wind speeds that demand higher sensitivity.

ACES: Space shuttle flight software analysis expert system

NASA Technical Reports Server (NTRS)

Satterwhite, R. Scott

1990-01-01

The Analysis Criteria Evaluation System (ACES) is a knowledge based expert system that automates the final certification of the Space Shuttle onboard flight software. Guidance, navigation and control of the Space Shuttle through all its flight phases are accomplished by a complex onboard flight software system. This software is reconfigured for each flight to allow thousands of mission-specific parameters to be introduced and must therefore be thoroughly certified prior to each flight. This certification is performed in ground simulations by executing the software in the flight computers. Flight trajectories from liftoff to landing, including abort scenarios, are simulated and the results are stored for analysis. The current methodology of performing this analysis is repetitive and requires many man-hours. The ultimate goals of ACES are to capture the knowledge of the current experts and improve the quality and reduce the manpower required to certify the Space Shuttle onboard flight software.

ARGES: an Expert System for Fault Diagnosis Within Space-Based ECLS Systems

NASA Technical Reports Server (NTRS)

Pachura, David W.; Suleiman, Salem A.; Mendler, Andrew P.

1988-01-01

ARGES (Atmospheric Revitalization Group Expert System) is a demonstration prototype expert system for fault management for the Solid Amine, Water Desorbed (SAWD) CO2 removal assembly, associated with the Environmental Control and Life Support (ECLS) System. ARGES monitors and reduces data in real time from either the SAWD controller or a simulation of the SAWD assembly. It can detect gradual degradations or predict failures. This allows graceful shutdown and scheduled maintenance, which reduces crew maintenance overhead. Status and fault information is presented in a user interface that simulates what would be seen by a crewperson. The user interface employs animated color graphics and an object oriented approach to provide detailed status information, fault identification, and explanation of reasoning in a rapidly assimulated manner. In addition, ARGES recommends possible courses of action for predicted and actual faults. ARGES is seen as a forerunner of AI-based fault management systems for manned space systems.

Clinical Laboratory Practice Recommendations for the Use of Cardiac Troponin in Acute Coronary Syndrome: Expert Opinion from the Academy of the American Association for Clinical Chemistry and the Task Force on Clinical Applications of Cardiac Bio-Markers of the International Federation of Clinical Chemistry and Laboratory Medicine.

PubMed

Wu, Alan H B; Christenson, Robert H; Greene, Dina N; Jaffe, Allan S; Kavsak, Peter A; Ordonez-Llanos, Jordi; Apple, Fred S

2018-04-01

This document is an essential companion to the third iteration of the National Academy of Clinical Biochemistry [NACB, 8 now the American Association for Clinical Chemistry (AACC) Academy] Laboratory Medicine Practice Guidelines (LMPG) on cardiac markers. The expert consensus recommendations were drafted in collaboration with the International Federation of Clinical Chemistry and Laboratory Medicine Task Force on Clinical Applications of Bio-Markers (IFCC TF-CB). We determined that there is sufficient clinical guidance on the use of cardiac troponin (cTn) testing from clinical practice groups. Thus, in this expert consensus document, we focused on clinical laboratory practice recommendations for high-sensitivity (hs)-cTn assays. This document utilized the expert opinion class of evidence to focus on the following 10 topics: ( a ) quality control (QC) utilization, ( b ) validation of the lower reportable analytical limits, ( c ) units to be used in reporting measurable concentrations for patients and QC materials, ( d ) 99th percentile sex-specific upper reference limits to define the reference interval; ( e ) criteria required to define hs-cTn assays, ( f ) communication with clinicians and the laboratory's role in educating clinicians regarding the influence of preanalytic and analytic problems that can confound assay results, ( g ) studies on hs-cTn assays and how authors need to document preanalytical and analytical variables, ( h ) harmonizing and standardizing assay results and the role of commutable materials, ( i ) time to reporting of results from sample receipt and sample collection, and ( j ) changes in hs-cTn concentrations over time and the role of both analytical and biological variabilities in interpreting results of serial blood collections. © 2017 American Association for Clinical Chemistry.

Sexual assault documentation program.

PubMed

Willoughby, Vickie; Heger, Astrid; Rogers, Christopher; Sathyavagiswaran, Lakshmanan

2012-03-01

Since 2001, the Los Angeles County Department of Coroner has collaborated with Los Angeles County-University of Southern California Medical Center Violence Intervention Program and their Sexual Assault Center. The partnership was established at the suggestion of the district attorney's office to enhance the clinical recognition of sexual assault in the medical examiner's office using the extensive experience of experts in the field of sexual assault. As of December 2008, over 5 dozen victims of sexual assault have been evaluated with this collaboration. The partnership relied on the expertise of 2 pediatricians who are established clinical experts in the field of sexual abuse and assault, in collaboration with the staff of the medical examiner's office. In cases of suspected sexual assault, a joint evaluation by the clinical experts and the medical examiner was made. The goal of the project was for the medical examiners to become more confident in their observations and documentation of crimes of sexual abuse. Even though they are still available upon request, consultations with the sexual assault experts have decreased as the skills of the medical examiner to evaluate sexual assault cases have increased.

[Differences in psychiatric expertise of responsibility: Assessment and initial hypotheses through a review of literature].

PubMed

Guivarch, J; Piercecchi-Marti, M-D; Glezer, D; Chabannes, J-M

2015-06-01

Forensic psychiatric assessment regarding liability ensures a balance between justice and psychiatry. In France, criminal assessment is not contradictory. The psychiatric expert is commissioned by judges to determine whether or not the accused has a mental disorder and specify whether it affects discernment and control of actions at the time of offense. Its mission focuses on the mental element required to constitute an offense, and is structured around Article 122-1 of the Criminal Code. This article, composed of two paragraphs, distinguishes the framework of the abolition of discernment — a cause of non-imputability and therefore of a statement of lack of criminal responsibility due to mental disorder — and the framework of the alteration of discernment. Nowadays expertise seems to meet discomfort, with criticism focusing on possible differences among psychiatric experts, without specific studies having been conducted to confirm it. Our objective was to identify the main points of disagreement between psychiatric experts and to propose explicative hypotheses. For this, we carried out a literature review on PubMed, Science Direct and Cairn, and studied the report of the 2007 public hearing on forensic psychiatric assessment with contributions from different authors. The keywords were: forensic psychiatry, psychiatric court report, psychiatric expertise, differences among experts, legal responsibility, and discernment. We defined differences as disagreements between experts, or as a mismatch in conclusions and approaches of experts. The differences among experts concerned mainly forensic interpretation, i.e. the discussion of the relationship between pathology and offense, particularly in contexts that involve a larger forensic discussion, including interruption of medication, use of drugs, association with antisocial personality, premeditation, denial of facts, especially when the accused suffers from a mental illness (especially schizophrenia). For a finding of abolition of discernment, an expert must consider two requirements, one temporal (the mental disease must be active during offense) and the other causal that involves seeking a direct and exclusive relationship between the offence and the mental state, according to expert jurisprudence. Some experts do not comply with these two requirements or this jurisprudence, whence differences. There were also diagnostic differences and disputes relating to the concept of "alteration of discernment". Disagreements appeared to be related primarily to personal ideologies or different schools of thought that influenced interpretations and conclusions of experts, e.g. accountability as a therapeutic response for the psychotic person. Then, the lack of clarity of expert mission regarding necessary causal relationship — between any disease and crime — to demonstrate to conclude an abolition of discernment, could also contribute to differences. Moreover, time available to achieve the mission is too short and the expert would not devote enough time to an expert examination, which could lead to less good expertise and differences; especially as observed clinical examination in expertise is sometimes difficult, misleading, due to pathological reticence of accused mentally ill but also sometimes due to possible simulations. Finally, the low quality of some expert reports — due in part to the less well-trained experts, but also the particular conditions of achievement of expertise, especially in prisons — were mentioned by some authors as causes of differences. It appears from this review of literature that differences mainly concern forensic interpretation and are mainly explained by ideologies. This synthesis is a preliminary work prior to a study among psychiatric experts. Copyright © 2015 L’Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

Reasoning process characteristics in the diagnostic skills of beginner, competent, and expert dentists.

PubMed

Crespo, Kathleen E; Torres, José E; Recio, María E

2004-12-01

The purpose of this study was to evaluate qualitative differences in the diagnostic reasoning process at different developmental stages of expertise. A qualitative design was used to study cognitive processes that characterize the diagnosis of oral disease at the stages of beginner (five junior students who had passed the NBDE I), competent (five GPR first-year residents), and expert dentists (five general dentists with ten or more years of experience). Individually, each participant was asked to determine the diagnosis of an oral condition based on a written clinical case, using the think aloud technique and retrospective reports. A subsequent interview was conducted to obtain the participants' diagnostic process model and pathophysiology of the case. The analysis of the verbal protocols indicated that experts referred to the patient's sociomedical context more frequently, demonstrated better organization of ideas, could determine key clinical findings, and had an ability to plan for the search of pertinent information. Fewer diagnostic hypotheses were formulated by participants who used forward reasoning, independent of the stage of development. Beginners requested additional diagnostic aids (radiographs, laboratory tests) more frequently than the competent/expert dentists. Experts recalled typical experiences with patients, while competent/beginner dentists recalled information from didactic courses. Experts evidenced cognitive diagnostic schemas that integrate pathophysiology of disease, while competent and beginner participants had not achieved this integration. We conclude that expert performance is a combination of a knowledge base, reasoning skills, and an accumulation of experiences with patients that is qualitatively different from that of competent and beginner dentists. It is important for dental education to emphasize the teaching of cognitive processes and to incorporate a wide variety of clinical experiences in addition to the teaching of disciplinary content.

The First Expert CAI System

PubMed Central

Feurzeig, Wallace

1984-01-01

The first expert instructional system, the Socratic System, was developed in 1964. One of the earliest applications of this system was in the area of differential diagnosis in clinical medicine. The power of the underlying instructional paradigm was demonstrated and the potential of the approach for valuably supplementing medical instruction was recognized. Twenty years later, despite further educationally significant advances in expert systems technology and enormous reductions in the cost of computers, expert instructional methods have found very little application in medical schools.

Cognitive Task Analysis of En Route Air Traffic Control: Model Extension and Validation.

ERIC Educational Resources Information Center

Redding, Richard E.; And Others

Phase II of a project extended data collection and analytic procedures to develop a model of expertise and skill development for en route air traffic control (ATC). New data were collected by recording the Dynamic Simulator (DYSIM) performance of five experts with a work overload problem. Expert controllers were interviewed in depth for mental…

Spanish Consensus Statement: Clinical Management and Treatment of Tendinopathies in Sport.

PubMed

Fernandez-Jaén, Tomas; Rey, Guillermo Álvarez; Angulo, Francisco; Cuesta, Jordi Ardevol; Loureda, Rafael Arriaza; España, Fernando Ávila; Ayala, Juan; Matas, Ramón Balius; Pazos, Fernando Baró; de Dios Beas Jiménez, Juan; Rosell, Jorge Candel; Fernandez, César Cobián; Del Pilar Doñoro Cuevas, M; Ros, Francisco Esparza; Colmenero, Josefina Espejo; de Prado, Jorge Fernández; García Cota, Juan José; Garrido González, Jose Ignacio; de Vega, Carlos Gonzalez; Santander, Manuela González; Herrador Munilla, Miguel Ángel; Ruiz, Francisco Ivorra; Díaz, Fernando Jiménez; Fernandez, Antonio Maestro; Marqueta, Pedro Manonelles; Muñoz Benito, Juan José; Vilás, Ramón Olivé; Pedret, Carles; Teres, Xavier Peirau; Amaro, José Peña; Grifell, Jordi Puigdellivoll; San Roque, Juan Pérez; Parenteu, Christophe Ramírez; Serna, Juan Ribas; Rodas, Gil; Álvarez, Mikel Sánchez; Marchori, Carlos Sanchez; Perez, Lluis Til; Durán, Rosario Ureña; Del Valle Soto, Miguel; Villalón Alonso, José María; García, Pedro Guillen

2017-10-01

On October 15, 2016, experts met at Clínica CEMTRO in Madrid, Spain, under the patronage of the Spanish Society for Sports Traumatology (SETRADE), the Spanish Society of Sports Medicine (SEMED), the Spanish Association of Medical Services for Football Clubs (AEMEF), the Spanish Association of Medical Services for Basketball Clubs (AEMB), F.C. Barcelona, and Clínica CEMTRO. The purpose was to consider the most appropriate clinical management and treatment of tendinopathies in sports, based on proven scientific data described in the medical literature as well as on each expert's experience. Prior to the meeting, each expert received a questionnaire regarding clinical management and treatment of tendinopathies in sports. The present consensus document summarizes the answers to the questionnaire and the resulting discussion and consensus regarding current concepts on tendinopathies in sports.

Integration of task level planning and diagnosis for an intelligent robot

NASA Technical Reports Server (NTRS)

Gerstenfeld, Arthur

1988-01-01

The use of robots in the future must go beyond present applications and will depend on the ability of a robot to adapt to a changing environment and to deal with unexpected scenarios (i.e., picking up parts that are not exactly where they were expected to be). The objective of this research is to demonstrate the feasibility of incorporating high level planning into a robot enabling it to deal with anomalous situations in order to minimize the need for constant human instruction. The heuristics can be used by a robot to apply information about previous actions towards accomplishing future objectives more efficiently. The system uses a decision network that represents the plan for accomplishing a task. This enables the robot to modify its plan based on results of previous actions. The system serves as a method for minimizing the need for constant human instruction in telerobotics. This paper describes the integration of expert systems and simulation as a valuable tool that goes far beyond this project. Simulation can be expected to be used increasingly as both hardware and software improve. Similarly, the ability to merge an expert system with simulation means that we can add intelligence to the system. A malfunctioning space satellite is described. The expert system uses a series of heuristics in order to guide the robot to the proper location. This is part of task level planning. The final part of the paper suggests directions for future research. Having shown the feasibility of an expert system embedded in a simulation, the paper then discusses how the system can be integrated with the MSFC graphics system.

[Team training and assessment in mixed reality-based simulated operating room : Current state of research in the field of simulation in spine surgery exemplified by the ATMEOS project].

PubMed

Stefan, P; Pfandler, M; Wucherer, P; Habert, S; Fürmetz, J; Weidert, S; Euler, E; Eck, U; Lazarovici, M; Weigl, M; Navab, N

2018-04-01

Surgical simulators are being increasingly used as an attractive alternative to clinical training in addition to conventional animal models and human specimens. Typically, surgical simulation technology is designed for the purpose of teaching technical surgical skills (so-called task trainers). Simulator training in surgery is therefore in general limited to the individual training of the surgeon and disregards the participation of the rest of the surgical team. The objective of the project Assessment and Training of Medical Experts based on Objective Standards (ATMEOS) is to develop an immersive simulated operating room environment that enables the training and assessment of multidisciplinary surgical teams under various conditions. Using a mixed reality approach, a synthetic patient model, real surgical instruments and radiation-free virtual X‑ray imaging are combined into a simulation of spinal surgery. In previous research studies, the concept was evaluated in terms of realism, plausibility and immersiveness. In the current research, assessment measurements for technical and non-technical skills are developed and evaluated. The aim is to observe multidisciplinary surgical teams in the simulated operating room during minimally invasive spinal surgery and objectively assess the performance of the individual team members and the entire team. Moreover, the effectiveness of training methods and surgical techniques or success critical factors, e. g. management of crisis situations, can be captured and objectively assessed in the controlled environment.

Expert searching in health librarianship: a literature review to identify international issues and Australian concerns.

PubMed

Lasserre, Kaye

2012-03-01

The traditional role of health librarians as expert searchers is under challenge. The purpose of this review is to establish health librarians' views, practices and educational processes on expert searching. The search strategy was developed in LISTA and then customised for ten other databases: ALISA, PubMed, Embase, Scopus, Web of Science, CINAHL, ERIC, PsycINFO, Cochrane Library and Google Scholar. The search terms were (expert search* OR expert retriev* OR mediated search* OR information retriev*) AND librar*. The searches, completed in December 2010 and repeated in May 2011, were limited to English language publications from 2000 to 2011 (unless seminal works). Expert searching remains a key role for health librarians, especially for those supporting systematic reviews or employed as clinical librarians answering clinical questions. Although clients tend to be satisfied with searches carried out for them, improvements are required to effectively position the profession. Evidence-based guidelines, adherence to transparent standards, review of entry-level education requirements and a commitment to accredited, rigorous, ongoing professional development will ensure best practice. © 2012 The authors. Health Information and Libraries Journal © 2012 Health Libraries Group.

Rapid E-Learning Simulation Training and User Response

ERIC Educational Resources Information Center

Rackler, Angeline

2011-01-01

A new trend in e-learning development is to have subject matter experts use rapid development tools to create training simulations. This type of training is called rapid e-learning simulation training. Though companies are using rapid development tools to create training quickly and cost effectively, there is little empirical research to indicate…

Modeling and simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hanham, R.; Vogt, W.G.; Mickle, M.H.

1986-01-01

This book presents the papers given at a conference on computerized simulation. Topics considered at the conference included expert systems, modeling in electric power systems, power systems operating strategies, energy analysis, a linear programming approach to optimum load shedding in transmission systems, econometrics, simulation in natural gas engineering, solar energy studies, artificial intelligence, vision systems, hydrology, multiprocessors, and flow models.

A temporal bone surgery simulator with real-time feedback for surgical training.

PubMed

Wijewickrema, Sudanthi; Ioannou, Ioanna; Zhou, Yun; Piromchai, Patorn; Bailey, James; Kennedy, Gregor; O'Leary, Stephen

2014-01-01

Timely feedback on surgical technique is an important aspect of surgical skill training in any learning environment, be it virtual or otherwise. Feedback on technique should be provided in real-time to allow trainees to recognize and amend their errors as they occur. Expert surgeons have typically carried out this task, but they have limited time available to spend with trainees. Virtual reality surgical simulators offer effective, repeatable training at relatively low cost, but their benefits may not be fully realized while they still require the presence of experts to provide feedback. We attempt to overcome this limitation by introducing a real-time feedback system for surgical technique within a temporal bone surgical simulator. Our evaluation study shows that this feedback system performs exceptionally well with respect to accuracy and effectiveness.

Evaluation of robotic cardiac surgery simulation training: A randomized controlled trial.

PubMed

Valdis, Matthew; Chu, Michael W A; Schlachta, Christopher; Kiaii, Bob

2016-06-01

To compare the currently available simulation training modalities used to teach robotic surgery. Forty surgical trainees completed a standardized robotic 10-cm dissection of the internal thoracic artery and placed 3 sutures of a mitral valve annuloplasty in porcine models and were then randomized to a wet lab, a dry lab, a virtual reality lab, or a control group that received no additional training. All groups trained to a level of proficiency determined by 2 expert robotic cardiac surgeons. All assessments were evaluated using the Global Evaluative Assessment of Robotic Skills in a blinded fashion. Wet lab trainees showed the greatest improvement in time-based scoring and the objective scoring tool compared with the experts (mean, 24.9 ± 1.7 vs 24.9 ± 2.6; P = .704). The virtual reality lab improved their scores and met the level of proficiency set by our experts for all primary outcomes (mean, 24.9 ± 1.7 vs 22.8 ± 3.7; P = .103). Only the control group trainees were not able to meet the expert level of proficiency for both time-based scores and the objective scoring tool (mean, 24.9 ± 1.7 vs 11.0 ± 4.5; P < .001). The average duration of training was shortest for the dry lab and longest for the virtual reality simulation (1.6 hours vs 9.3 hours; P < .001). We have completed the first randomized controlled trial to objectively compare the different training modalities of robotic surgery. Our data demonstrate the significant benefits of wet lab and virtual reality robotic simulation training and highlight key differences in current training methods. This study can help guide training programs in investing resources in cost-effective, high-yield simulation exercises. Copyright © 2016 The American Association for Thoracic Surgery. All rights reserved.

Japanese Clinical Guidelines for Endoscopic Treatment of Pancreatolithiasis.

PubMed

Inui, Kazuo; Igarashi, Yoshinori; Irisawa, Atsushi; Ohara, Hirotaka; Tazuma, Susumu; Hirooka, Yoshiki; Fujita, Naotaka; Miyakawa, Hiroyuki; Sata, Naohiro; Shimosegawa, Tooru; Tanaka, Masao; Shiratori, Keiko; Sugiyama, Masanori; Takeyama, Yoshifumi

2015-10-01

In addition to surgery, procedures for patients with pancreatolithiasis are developing; therefore, establishing practical guidelines for the management of pancreatolithiasis is required. Three committees (the professional committee for asking clinical questions (CQs) and statements by Japanese endoscopists, the expert panel committee for rating statements by the modified Delphi method, and the evaluating committee by moderators) were organized. Eight endoscopists and a surgeon for pancreatolithiasis made the CQs and statements from a total of 694 reports of published literature by PubMed search (from 1983 to 2012). The expert panelists individually rated these clinical statements using a modified Delphi approach, in which a clinical statement receiving a median score greater than 7 on a 9-point scale from the panel was regarded as valid. The professional committee made 3, 7, and 10 CQs and statements for the concept and pathogenesis, diagnosis, and treatment, respectively. The expert panelists regarded them as valid after a 2-round modified Delphi approach. After evaluation by the moderators, the Japanese clinical guidelines for pancreatolithiasis were established. Further discussions and studies for international guidelines are needed.

A precise and accurate acupoint location obtained on the face using consistency matrix pointwise fusion method.

PubMed

Yanq, Xuming; Ye, Yijun; Xia, Yong; Wei, Xuanzhong; Wang, Zheyu; Ni, Hongmei; Zhu, Ying; Xu, Lingyu

2015-02-01

To develop a more precise and accurate method, and identified a procedure to measure whether an acupoint had been correctly located. On the face, we used an acupoint location from different acupuncture experts and obtained the most precise and accurate values of acupoint location based on the consistency information fusion algorithm, through a virtual simulation of the facial orientation coordinate system. Because of inconsistencies in each acupuncture expert's original data, the system error the general weight calculation. First, we corrected each expert of acupoint location system error itself, to obtain a rational quantification for each expert of acupuncture and moxibustion acupoint location consistent support degree, to obtain pointwise variable precision fusion results, to put every expert's acupuncture acupoint location fusion error enhanced to pointwise variable precision. Then, we more effectively used the measured characteristics of different acupuncture expert's acupoint location, to improve the measurement information utilization efficiency and acupuncture acupoint location precision and accuracy. Based on using the consistency matrix pointwise fusion method on the acupuncture experts' acupoint location values, each expert's acupoint location information could be calculated, and the most precise and accurate values of each expert's acupoint location could be obtained.

THE GHOST IN THE MACHINE? THE VALUE OF EXPERT ADVICE IN THE PRODUCTION OF EVIDENCE-BASED GUIDANCE: A MIXED METHODS STUDY OF THE NICE INTERVENTIONAL PROCEDURES PROGRAMME.

PubMed

Oyebode, Oyinlola; Patrick, Hannah; Walker, Alexander; Campbell, Bruce; Powell, John

2016-01-01

The aim of this study was to determine the aspects of expert advice that decision makers find most useful in the development of evidence-based guidance and to identify the characteristics of experts providing the most useful advice. First, semi-structured interviews were conducted with seventeen members of the Interventional Procedures Advisory Committee of the UK's National Institute of Health and Care Excellence. Interviews examined the usefulness of expert advice during guidance development. Transcripts were analyzed inductively to identify themes. Second, data were extracted from 211 experts' questionnaires for forty-one consecutive procedures. Usefulness of advice was scored using an index developed through the qualitative work. Associations between usefulness score and characteristics of the expert advisor were investigated using univariate and multivariate analyses. Expert opinion was seen as a valued complement to empirical evidence, providing context and tacit knowledge unavailable in published literature, but helpful for interpreting it. Interviewees also valued advice on the training and experience required to perform a procedure, on patient selection criteria and the place of a procedure within a clinical management pathway. Limitations of bias in expert opinion were widely acknowledged and skepticism expressed regarding the anecdotal nature of advice on safety or efficacy outcomes. Quantitative analysis demonstrated that the most useful advice was given by clinical experts with direct personal experience of the procedure, particularly research experience. Evidence-based guidance production is often characterized as a rational, pipeline process. This ignores the valuable role that expert opinion plays in guidance development, complementing and supporting the interpretation of empirical data.

Evaluation Criteria for Nursing Student Application of Evidence-Based Practice: A Delphi Study.

PubMed

Bostwick, Lina; Linden, Lois

2016-06-01

Core clinical evaluation criteria do not exist for measuring prelicensure baccalaureate nursing students' application of evidence-based practice (EBP) during direct care assignments. The study objective was to achieve consensus among EBP nursing experts to create clinical criteria for faculty to use in evaluating students' application of EBP principles. A three-round Delphi method was used. Experts were invited to participate in Web-based surveys. Data were analyzed using qualitative coding and categorizing. Quantitative analyses were descriptive calculations for rating and ranking. Expert consensus occurred in the Delphi rounds. The study provides a set of 10 core clinical evaluation criteria for faculty evaluating students' progression toward competency in their application of EBP. A baccalaureate program curriculum requiring the use of Bostwick's EBP Core Clinical Evaluation Criteria will provide a clear definition for understanding basic core EBP competence as expected for the assessment of student learning. [J Nurs Educ. 2016;55(5):336-341.]. Copyright 2016, SLACK Incorporated.

Survey of expert practice and perceptions of the supporting clinical evidence for the management of uveitis-related cataract and cystoid macular oedema.

PubMed

Sreekantam, Sreekanth; Denniston, Alastair K O; Murray, Philip I

2011-10-01

To survey the practice of uveitis experts in the management of uveitic cataract and cystoid macular oedema (CMO). A structured questionnaire containing two clinical scenarios was sent to members of the International Uveitis Study Group (IUSG). The questionnaire surveyed both respondents' current practice and their perception of the supporting clinical evidence. For uveitic cataract, 70% required a 3-month inflammation-free period before surgery, and 76% gave a prophylactic preoperative systemic corticosteroid. For uveitic CMO, 87% gave corticosteroids, usually orally. Preferred second-line agents were methotrexate (39%), cyclosporin (24%), azathioprine (17%), and mycophenolate (7%). Respondents suggested the evidence underlying their decisions was either absent or relatively weak (levels III or IV), and in most cases personal experience was a factor. This survey highlights areas of consensus and variation among uveitis experts in managing uveitic cataract and CMO, and emphasizes the need for further clinical trials to establish the best practice.

Manual Skill Acquisition During Transesophageal Echocardiography Simulator Training of Cardiology Fellows: A Kinematic Assessment.

PubMed

Matyal, Robina; Montealegre-Gallegos, Mario; Mitchell, John D; Kim, Han; Bergman, Remco; Hawthorne, Katie M; O'Halloran, David; Wong, Vanessa; Hess, Phillip E; Mahmood, Feroze

2015-12-01

To investigate whether a transesophageal echocardiography (TEE) simulator with motion analysis can be used to impart proficiency in TEE in an integrated curriculum-based model. A prospective cohort study. A tertiary-care university hospital. TEE-naïve cardiology fellows. Participants underwent an 8-session multimodal TEE training program. Manual skills were assessed at the end of sessions 2 and 8 using motion analysis of the TEE simulator's probe. At the end of the course, participants performed an intraoperative TEE; their examinations were video captured, and a blinded investigator evaluated the total time and image transitions needed for each view. Results are reported as mean±standard deviation, or median (interquartile range) where appropriate. Eleven fellows completed the knowledge and kinematic portions of the study. Five participants were excluded from the evaluation in the clinical setting because of interim exposure to TEE or having participated in a TEE rotation after the training course. An increase of 12.95% in post-test knowledge scores was observed. From the start to the end of the course, there was a significant reduction (p<0.001 for all) in the number of probe. During clinical performance evaluation, trainees were able to obtain all the required echocardiographic views unassisted but required a longer time and had more probe transitions when compared with an expert. A curriculum-based approach to TEE training for cardiology fellows can be complemented with kinematic analyses to objectify acquisition of manual skills during simulator-based training. Copyright © 2015 Elsevier Inc. All rights reserved.

What Older Adults Need to Know about Retail Clinics

MedlinePlus

What Older Adults Need to Know about Retail Clinics Expert Information from Healthcare Professionals Who Specialize in the Care of Older Adults Retail clinics are medical clinics based in pharmacies, ...

Expert clinical reasoning and pain assessment in mechanically ventilated patients: A descriptive study.

PubMed

Gerber, Anne; Thevoz, Anne-Laure; Ramelet, Anne-Sylvie

2015-02-01

Pain assessment in mechanically ventilated patients is challenging, because nurses need to decode pain behaviour, interpret pain scores, and make appropriate decisions. This clinical reasoning process is inherent to advanced nursing practice, but is poorly understood. A better understanding of this process could contribute to improved pain assessment and management. This study aimed to describe the indicators that influence expert nurses' clinical reasoning when assessing pain in critically ill nonverbal patients. This descriptive observational study was conducted in the adult intensive care unit (ICU) of a tertiary referral hospital in Western Switzerland. A purposive sample of expert nurses, caring for nonverbal ventilated patients who received sedation and analgesia, were invited to participate in the study. Data were collected in "real life" using recorded think-aloud combined with direct non-participant observation and brief interviews. Data were analysed using deductive and inductive content analyses using a theoretical framework related to clinical reasoning and pain. Seven expert nurses with an average of 7.85 (±3.1) years of critical care experience participated in the study. The patients had respiratory distress (n=2), cardiac arrest (n=2), sub-arachnoid bleeding (n=1), and multi-trauma (n=2). A total of 1344 quotes in five categories were identified. Patients' physiological stability was the principal indicator for making decision in relation to pain management. Results also showed that it is a permanent challenge for nurses to discriminate situations requiring sedation from situations requiring analgesia. Expert nurses mainly used working knowledge and patterns to anticipate and prevent pain. Patient's clinical condition is important for making decision about pain in critically ill nonverbal patients. The concept of pain cannot be assessed in isolation and its assessment should take the patient's clinical stability and sedation into account. Further research is warranted to confirm these results. Copyright © 2014. Published by Elsevier Ltd.

Reliability of adherence and competence assessment in cognitive behavioral therapy: influence of clinical experience.

PubMed

Weck, Florian; Hilling, Christine; Schermelleh-Engel, Karin; Rudari, Visar; Stangier, Ulrich

2011-04-01

The use of highly experienced expert judges was suggested for the assessment of therapists' adherence and competence. However, such an approach implies high costs. It can be questioned whether only experts are able to evaluate therapists' adherence and competence reliably. To test this, 4 judges evaluated therapist adherence and competence in 30 randomly selected videotapes of cognitive therapy sessions for depression. In that, 2 judges exhibited high clinical experience (experts), whereas 2 judges did not (novices). We could demonstrate that novices evaluated an aggregated adherence and competence measure with high reliability. However, several adherence and competence aspects were not assessed with satisfactory reliability by novices. Although adherence ratings of experts and novices showed high concordance, the concordance of competence ratings was only moderate. Results revealed that therapists' adherence could be evaluated satisfactorily by trained novices with some restrictions, but not their competence.

Science-based HRA: experimental comparison of operator performance to IDAC (Information-Decision-Action Crew) simulations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shirley, Rachel; Smidts, Carol; Boring, Ronald

Information-Decision-Action Crew (IDAC) operator model simulations of a Steam Generator Tube Rupture are compared to student operator performance in studies conducted in the Ohio State University’s Nuclear Power Plant Simulator Facility. This study is presented as a prototype for conducting simulator studies to validate key aspects of Human Reliability Analysis (HRA) methods. Seven student operator crews are compared to simulation results for crews designed to demonstrate three different decision-making strategies. The IDAC model used in the simulations is modified slightly to capture novice behavior rather that expert operators. Operator actions and scenario pacing are compared. A preliminary review of availablemore » performance shaping factors (PSFs) is presented. After the scenario in the NPP Simulator Facility, student operators review a video of the scenario and evaluate six PSFs at pre-determined points in the scenario. This provides a dynamic record of the PSFs experienced by the OSU student operators. In this preliminary analysis, Time Constraint Load (TCL) calculated in the IDAC simulations is compared to TCL reported by student operators. We identify potential modifications to the IDAC model to develop an “IDAC Student Operator Model.” This analysis provides insights into how similar experiments could be conducted using expert operators to improve the fidelity of IDAC simulations.« less

Decision making in trauma settings: simulation to improve diagnostic skills.

PubMed

Murray, David J; Freeman, Brad D; Boulet, John R; Woodhouse, Julie; Fehr, James J; Klingensmith, Mary E

2015-06-01

In the setting of acute injury, a wrong, missed, or delayed diagnosis can impact survival. Clinicians rely on pattern recognition and heuristics to rapidly assess injuries, but an overreliance on these approaches can result in a diagnostic error. Simulation has been advocated as a method for practitioners to learn how to recognize the limitations of heuristics and develop better diagnostic skills. The objective of this study was to determine whether simulation could be used to provide teams the experiences in managing scenarios that require the use of heuristic as well as analytic diagnostic skills to effectively recognize and treat potentially life-threatening injuries. Ten scenarios were developed to assess the ability of trauma teams to provide initial care to a severely injured patient. Seven standard scenarios simulated severe injuries that once diagnosed could be effectively treated using standard Advanced Trauma Life Support algorithms. Because diagnostic error occurs more commonly in complex clinical settings, 3 complex scenarios required teams to use more advanced diagnostic skills to uncover a coexisting condition and treat the patient. Teams composed of 3 to 5 practitioners were evaluated in the performance of 7 (of 10) randomly selected scenarios (5 standard, 2 complex). Expert rates scored teams using standardized checklists and global scores. Eighty-three surgery, emergency medicine, and anesthesia residents constituted 21 teams. Expert raters were able to reliably score the scenarios. Teams accomplished fewer checklist actions and received lower global scores on the 3 analytic scenarios (73.8% [12.3%] and 5.9 [1.6], respectively) compared with the 7 heuristic scenarios (83.2% [11.7%] and 6.6 [1.3], respectively; P < 0.05 for both). Teams led by more junior residents received higher global scores on the analytic scenarios (6.4 [1.3]) than the more senior team leaders (5.3 [1.7]). This preliminary study indicates that teams led by more senior residents received higher scores when managing heuristic scenarios but were less effective when managing the scenarios that require a more analytic approach. Simulation can be used to provide teams with decision-making experiences in trauma settings and could be used to improve diagnostic skills as well as study the decision-making process.

Systematic methods for knowledge acquisition and expert system development

NASA Technical Reports Server (NTRS)

Belkin, Brenda L.; Stengel, Robert F.

1991-01-01

Nine cooperating rule-based systems, collectively called AUTOCREW which were designed to automate functions and decisions associated with a combat aircraft's subsystems, are discussed. The organization of tasks within each system is described; performance metrics were developed to evaluate the workload of each rule base and to assess the cooperation between the rule bases. Simulation and comparative workload results for two mission scenarios are given. The scenarios are inbound surface-to-air-missile attack on the aircraft and pilot incapacitation. The methodology used to develop the AUTOCREW knowledge bases is summarized. Issues involved in designing the navigation sensor selection expert in AUTOCREW's NAVIGATOR knowledge base are discussed in detail. The performance of seven navigation systems aiding a medium-accuracy INS was investigated using Kalman filter covariance analyses. A navigation sensor management (NSM) expert system was formulated from covariance simulation data using the analysis of variance (ANOVA) method and the ID3 algorithm. ANOVA results show that statistically different position accuracies are obtained when different navaids are used, the number of navaids aiding the INS is varied, the aircraft's trajectory is varied, and the performance history is varied. The ID3 algorithm determines the NSM expert's classification rules in the form of decision trees. The performance of these decision trees was assessed on two arbitrary trajectories, and the results demonstrate that the NSM expert adapts to new situations and provides reasonable estimates of the expected hybrid performance.

Crowd-sourced assessment of surgical skills in cricothyrotomy procedure.

PubMed

Aghdasi, Nava; Bly, Randall; White, Lee W; Hannaford, Blake; Moe, Kris; Lendvay, Thomas S

2015-06-15

Objective assessment of surgical skills is resource intensive and requires valuable time of expert surgeons. The goal of this study was to assess the ability of a large group of laypersons using a crowd-sourcing tool to grade a surgical procedure (cricothyrotomy) performed on a simulator. The grading included an assessment of the entire procedure by completing an objective assessment of technical skills survey. Two groups of graders were recruited as follows: (1) Amazon Mechanical Turk users and (2) three expert surgeons from University of Washington Department of Otolaryngology. Graders were presented with a video of participants performing the procedure on the simulator and were asked to grade the video using the objective assessment of technical skills questions. Mechanical Turk users were paid $0.50 for each completed survey. It took 10 h to obtain all responses from 30 Mechanical Turk users for 26 training participants (26 videos/tasks), whereas it took 60 d for three expert surgeons to complete the same 26 tasks. The assessment of surgical performance by a group (n = 30) of laypersons matched the assessment by a group (n = 3) of expert surgeons with a good level of agreement determined by Cronbach alpha coefficient = 0.83. We found crowd sourcing was an efficient, accurate, and inexpensive method for skills assessment with a good level of agreement to experts' grading. Copyright © 2015 Elsevier Inc. All rights reserved.

An expert system for estimating production rates and costs for hardwood group-selection harvests

Treesearch

Chris B. LeDoux; B. Gopalakrishnan; R. S. Pabba

2003-01-01

As forest managers shift their focus from stands to entire ecosystems alternative harvesting methods such as group selection are being used increasingly. Results of several field time and motion studies and simulation runs were incorporated into an expert system for estimating production rates and costs associated with harvests of group-selection units of various size...

Undermining Reasonableness: Expert Testimony in a Case Involving a Battered Woman Who Kills

ERIC Educational Resources Information Center

Terrance, Cheryl; Matheson, Kimberly

2003-01-01

Student participants (N = 316) viewed a videotaped simulated case involving a woman who had entered a self-defense plea in the shooting death of her abusive husband. As successful claims of self-defense rest on the portrayal of a defendant who has responded reasonably to his/her situation, the implications of various forms of expert testimony in…

Biology Teacher and Expert Opinions about Computer Assisted Biology Instruction Materials: A Software Entitled Nucleic Acids and Protein Synthesis

ERIC Educational Resources Information Center

Hasenekoglu, Ismet; Timucin, Melih

2007-01-01

The aim of this study is to collect and evaluate opinions of CAI experts and biology teachers about a high school level Computer Assisted Biology Instruction Material presenting computer-made modelling and simulations. It is a case study. A material covering "Nucleic Acids and Protein Synthesis" topic was developed as the…

Fast Fuzzy Arithmetic Operations

NASA Technical Reports Server (NTRS)

Hampton, Michael; Kosheleva, Olga

1997-01-01

In engineering applications of fuzzy logic, the main goal is not to simulate the way the experts really think, but to come up with a good engineering solution that would (ideally) be better than the expert's control, In such applications, it makes perfect sense to restrict ourselves to simplified approximate expressions for membership functions. If we need to perform arithmetic operations with the resulting fuzzy numbers, then we can use simple and fast algorithms that are known for operations with simple membership functions. In other applications, especially the ones that are related to humanities, simulating experts is one of the main goals. In such applications, we must use membership functions that capture every nuance of the expert's opinion; these functions are therefore complicated, and fuzzy arithmetic operations with the corresponding fuzzy numbers become a computational problem. In this paper, we design a new algorithm for performing such operations. This algorithm is applicable in the case when negative logarithms - log(u(x)) of membership functions u(x) are convex, and reduces computation time from O(n(exp 2))to O(n log(n)) (where n is the number of points x at which we know the membership functions u(x)).

Determination of clinically relevant content for a musculoskeletal anatomy curriculum for physical medicine and rehabilitation residents.

PubMed

Lisk, Kristina; Flannery, John F; Loh, Eldon Y; Richardson, Denyse; Agur, Anne M R; Woods, Nicole N

2014-01-01

To address the need for more clinical anatomy training in residency education, many postgraduate programs have implemented structured anatomy courses into their curriculum. Consensus often does not exist on specific content and level of detail of the content that should be included in such curricula. This article describes the use of the Delphi method to identify clinically relevant content to incorporate in a musculoskeletal anatomy curriculum for Physical Medicine and Rehabilitation (PM&R) residents. A two round modified Delphi involving PM&R experts was used to establish the curricular content. The anatomical structures and clinical conditions presented to the expert group were compiled using multiple sources: clinical musculoskeletal anatomy cases from the PM&R residency program at the University of Toronto; consultation with PM&R experts; and textbooks. In each round, experts rated the importance of each curricular item to PM&R residency education using a five-point Likert scale. Internal consistency (Cronbach's alpha) was used to determine consensus at the end of each round and agreement scores were used as an outcome measure to determine the content to include in the curriculum. The overall internal consistency in both rounds was 0.99. A total of 37 physiatrists from across Canada participated and the overall response rate over two rounds was 97%. The initial curricular list consisted of 361 items. After the second iteration, the list was reduced by 44%. By using a national consensus method we were able to objectively determine the relevant anatomical structures and clinical musculoskeletal conditions important in daily PM&R practice. © 2013 American Association of Anatomists.

A Bayesian Analysis of a Randomized Clinical Trial Comparing Antimetabolite Therapies for Non-Infectious Uveitis.

PubMed

Browne, Erica N; Rathinam, Sivakumar R; Kanakath, Anuradha; Thundikandy, Radhika; Babu, Manohar; Lietman, Thomas M; Acharya, Nisha R

2017-02-01

To conduct a Bayesian analysis of a randomized clinical trial (RCT) for non-infectious uveitis using expert opinion as a subjective prior belief. A RCT was conducted to determine which antimetabolite, methotrexate or mycophenolate mofetil, is more effective as an initial corticosteroid-sparing agent for the treatment of intermediate, posterior, and pan-uveitis. Before the release of trial results, expert opinion on the relative effectiveness of these two medications was collected via online survey. Members of the American Uveitis Society executive committee were invited to provide an estimate for the relative decrease in efficacy with a 95% credible interval (CrI). A prior probability distribution was created from experts' estimates. A Bayesian analysis was performed using the constructed expert prior probability distribution and the trial's primary outcome. A total of 11 of the 12 invited uveitis specialists provided estimates. Eight of 11 experts (73%) believed mycophenolate mofetil is more effective. The group prior belief was that the odds of treatment success for patients taking mycophenolate mofetil were 1.4-fold the odds of those taking methotrexate (95% CrI 0.03-45.0). The odds of treatment success with mycophenolate mofetil compared to methotrexate was 0.4 from the RCT (95% confidence interval 0.1-1.2) and 0.7 (95% CrI 0.2-1.7) from the Bayesian analysis. A Bayesian analysis combining expert belief with the trial's result did not indicate preference for one drug. However, the wide credible interval leaves open the possibility of a substantial treatment effect. This suggests clinical equipoise necessary to allow a larger, more definitive RCT.

Do technical skills correlate with non-technical skills in crisis resource management: a simulation study.

PubMed

Riem, N; Boet, S; Bould, M D; Tavares, W; Naik, V N

2012-11-01

Both technical skills (TS) and non-technical skills (NTS) are key to ensuring patient safety in acute care practice and effective crisis management. These skills are often taught and assessed separately. We hypothesized that TS and NTS are not independent of each other, and we aimed to evaluate the relationship between TS and NTS during a simulated intraoperative crisis scenario. This study was a retrospective analysis of performances from a previously published work. After institutional ethics approval, 50 anaesthesiology residents managed a simulated crisis scenario of an intraoperative cardiac arrest secondary to a malignant arrhythmia. We used a modified Delphi approach to design a TS checklist, specific for the management of a malignant arrhythmia requiring defibrillation. All scenarios were recorded. Each performance was analysed by four independent experts. For each performance, two experts independently rated the technical performance using the TS checklist, and two other experts independently rated NTS using the Anaesthetists' Non-Technical Skills score. TS and NTS were significantly correlated to each other (r=0.45, P<0.05). During a simulated 5 min resuscitation requiring crisis resource management, our results indicate that TS and NTS are related to one another. This research provides the basis for future studies evaluating the nature of this relationship, the influence of NTS training on the performance of TS, and to determine whether NTS are generic and transferrable between crises that require different TS.

An fMRI study of differences in brain activity among elite, expert, and novice archers at the moment of optimal aiming.

PubMed

Kim, Woojong; Chang, Yongmin; Kim, Jingu; Seo, Jeehye; Ryu, Kwangmin; Lee, Eunkyung; Woo, Minjung; Janelle, Christopher M

2014-12-01

We investigated brain activity in elite, expert, and novice archers during a simulated archery aiming task to determine whether neural correlates of performance differ by skill level. Success in shooting sports depends on complex mental routines just before the shot, when the brain prepares to execute the movement. During functional magnetic resonance imaging, 40 elite, expert, or novice archers aimed at a simulated 70-meter-distant target and pushed a button when they mentally released the bowstring. At the moment of optimal aiming, the elite and expert archers relied primarily on a dorsal pathway, with greatest activity in the occipital lobe, temporoparietal lobe, and dorsolateral pre-motor cortex. The elites showed activity in the supplementary motor area, temporoparietal area, and cerebellar dentate, while the experts showed activity only in the superior frontal area. The novices showed concurrent activity in not only the dorsolateral pre-motor cortex but also the ventral pathways linked to the ventrolateral pre-motor cortex. The novices exhibited broad activity in the superior frontal area, inferior frontal area, ventral prefrontal cortex, primary motor cortex, superior parietal lobule, and primary somatosensory cortex. The more localized neural activity of elite and expert archers than novices permits greater efficiency in the complex processes subserved by these regions. The elite group's high activity in the cerebellar dentate indicates that the cerebellum is involved in automating simultaneous movements by integrating the sensorimotor memory enabled by greater expertise in self-paced aiming tasks. A companion article comments on and generalizes our findings.

Using Simulated Microgravity to Enhance the Effectiveness of Nanodrug Chemotherapy in Breast Cancer

DTIC Science & Technology

2010-03-01

Frangos ) Award Number: W81XWH-09-1-0179 & W81XWH-09-1-0178 Title: "Using Simulated Microgravity to Enhance the Effectiveness of Nanodrug Chemotherapy in...an expert in mouse breast cancer cell lines. Task 2: Establishment of the simulated microgravity model Mr. Barkho was trained by Dr John Frangos

Automating the expert consensus paradigm for robust lung tissue classification

NASA Astrophysics Data System (ADS)

Rajagopalan, Srinivasan; Karwoski, Ronald A.; Raghunath, Sushravya; Bartholmai, Brian J.; Robb, Richard A.

2012-03-01

Clinicians confirm the efficacy of dynamic multidisciplinary interactions in diagnosing Lung disease/wellness from CT scans. However, routine clinical practice cannot readily accomodate such interactions. Current schemes for automating lung tissue classification are based on a single elusive disease differentiating metric; this undermines their reliability in routine diagnosis. We propose a computational workflow that uses a collection (#: 15) of probability density functions (pdf)-based similarity metrics to automatically cluster pattern-specific (#patterns: 5) volumes of interest (#VOI: 976) extracted from the lung CT scans of 14 patients. The resultant clusters are refined for intra-partition compactness and subsequently aggregated into a super cluster using a cluster ensemble technique. The super clusters were validated against the consensus agreement of four clinical experts. The aggregations correlated strongly with expert consensus. By effectively mimicking the expertise of physicians, the proposed workflow could make automation of lung tissue classification a clinical reality.

Randomized Clinical Trial of Virtual Reality Simulation Training for Transvaginal Gynecologic Ultrasound Skills.

PubMed

Chao, Coline; Chalouhi, Gihad E; Bouhanna, Philippe; Ville, Yves; Dommergues, Marc

2015-09-01

To compare the impact of virtual reality simulation training and theoretical teaching on the ability of inexperienced trainees to produce adequate virtual transvaginal ultrasound images. We conducted a randomized controlled trial with parallel groups. Participants included inexperienced residents starting a training program in Paris. The intervention consisted of 40 minutes of virtual reality simulation training using a haptic transvaginal simulator versus 40 minutes of conventional teaching including a conference with slides and videos and answers to the students' questions. The outcome was a 19-point image quality score calculated from a set of 4 images (sagittal and coronal views of the uterus and left and right ovaries) produced by trainees immediately after the intervention, using the same simulator on which a new virtual patient had been uploaded. Experts assessed the outcome on stored images, presented in a random order, 2 months after the trial was completed. They were blinded to group assignment. The hypothesis was an improved outcome in the intervention group. Randomization was 1 to 1. The mean score was significantly greater in the simulation group (n = 16; mean score, 12; SEM, 0.8) than the control group (n = 18; mean score, 9; SEM, 1.0; P= .0302). The quality of virtual vaginal images produced by inexperienced trainees was greater immediately after a single virtual reality simulation training session than after a single theoretical teaching session. © 2015 by the American Institute of Ultrasound in Medicine.

Acne severity grading: determining essential clinical components and features using a Delphi consensus.

PubMed

Tan, Jerry; Wolfe, Barat; Weiss, Jonathan; Stein-Gold, Linda; Bikowski, Joseph; Del Rosso, James; Webster, Guy F; Lucky, Anne; Thiboutot, Diane; Wilkin, Jonathan; Leyden, James; Chren, Mary-Margaret

2012-08-01

There are multiple global scales for acne severity grading but no singular standard. Our objective was to determine the essential clinical components (content items) and features (property-related items) for an acne global grading scale for use in research and clinical practice using an iterative method, the Delphi process. Ten acne experts were invited to participate in a Web-based Delphi survey comprising 3 iterative rounds of questions. In round 1, the experts identified the following clinical components (primary acne lesions, number of lesions, extent, regional involvement, secondary lesions, and patient experiences) and features (clinimetric properties, ease of use, categorization of severity based on photographs or text, and acceptance by all stakeholders). In round 2, consensus for inclusion in the scale was established for primary lesions, number, sites, and extent; as well as clinimetric properties and ease of use. In round 3, consensus for inclusion was further established for categorization and acceptance. Patient experiences were excluded and no consensus was achieved for secondary lesions. The Delphi panel consisted solely of the United States (U.S.)-based acne experts. Using an established method for achieving consensus, experts in acne vulgaris concluded that an ideal acne global grading scale would comprise the essential clinical components of primary acne lesions, their quantity, extent, and facial and extrafacial sites of involvement; with features of clinimetric properties, categorization, efficiency, and acceptance. Copyright © 2011 American Academy of Dermatology, Inc. Published by Mosby, Inc. All rights reserved.

MYC Immunohistochemistry to Identify MYC-Driven B-Cell Lymphomas in Clinical Practice.

PubMed

Kluk, Michael J; Ho, Caleb; Yu, Hongbo; Chen, Benjamin J; Neuberg, Donna S; Dal Cin, Paola; Woda, Bruce A; Pinkus, Geraldine S; Rodig, Scott J

2016-02-01

Immunohistochemistry with anti-MYC antibody (MYC IHC) detects MYC protein in fixed samples of aggressive B-cell lymphomas and, according to the number of positive staining tumor nuclei, facilitates tumor subclassification, predicts underlying MYC rearrangements, and stratifies patient outcome. We aimed to determine the performance of MYC IHC in clinical practice. We reviewed MYC IHC performed on control specimens and 256 aggressive B-cell lymphomas and compared clinically reported IHC scores with experts' review. Control tissues showed less than 5% variation in daily IHC staining. Reported and expert IHC scores were well correlated (r = 0.86) with an SD of 14.2%. Reported IHC scores 30% or less and 70% or more were accurate (94.5%) compared with experts in categorizing tumors as "MYC IHC-Low" and "MYC IHC-High," respectively, but scores 40% to 60% were not (60.3%). The mean IHC score among lymphomas with MYC rearrangements was 80%, but with a large range of scores (20%-100%). There was no statistically significant association between IHC score and MYC copy number. Under optimal conditions, clinically reported MYC IHC scores are concordant with expert scores within 15%. MYC IHC does not capture all B-cell lymphomas with MYC rearrangements, however. MYC IHC and MYC fluorescence in situ hybridization are both recommended to identify MYC-driven B-cell lymphomas. © American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Clinical relevance of molecular diagnostics in gastrointestinal (GI) cancer: European Society of Digestive Oncology (ESDO) expert discussion and recommendations from the 17th European Society for Medical Oncology (ESMO)/World Congress on Gastrointestinal Cancer, Barcelona.

PubMed

Baraniskin, Alexander; Van Laethem, Jean-Luc; Wyrwicz, Lucjan; Guller, Ulrich; Wasan, Harpreet S; Matysiak-Budnik, Tamara; Gruenberger, Thomas; Ducreux, Michel; Carneiro, Fatima; Van Cutsem, Eric; Seufferlein, Thomas; Schmiegel, Wolff

2017-11-01

In the epoch of precision medicine and personalised oncology, which aims to deliver the right treatment to the right patient, molecular genetic biomarkers are a topic of growing interest. The aim of this expert discussion and position paper is to review the current status of various molecular tests for gastrointestinal (GI) cancers and especially considering their significance for the clinical routine use. Opinion leaders and experts from diverse nationalities selected on scientific merit were asked to answer to a prepared set of questions about the current status of molecular diagnostics in different GI cancers. All answers were then discussed during a plenary session and reported here in providing a well-balanced reflection of both clinical expertise and updated evidence-based medicine. Preselected molecular genetic biomarkers that are described and disputed in the current medical literature in different GI cancers were debated, and recommendations for clinical routine practice were made whenever possible. Furthermore, the preanalytical variations were commented and proposals for quality controls of biospecimens were made. The current article summarises the recommendations of the expert committee regarding prognostic and predictive molecular genetic biomarkers in different entities of GI cancers. The briefly and comprehensively formulated guidelines should assist clinicians in the process of decision making in daily clinical practice. Copyright © 2017 Elsevier Ltd. All rights reserved.

Expertise, Ethics Expertise, and Clinical Ethics Consultation: Achieving Terminological Clarity

PubMed Central

Iltis, Ana S.; Sheehan, Mark

2016-01-01

The language of ethics expertise has become particularly important in bioethics in light of efforts to establish the value of the clinical ethics consultation (CEC), to specify who is qualified to function as a clinical ethics consultant, and to characterize how one should evaluate whether or not a person is so qualified. Supporters and skeptics about the possibility of ethics expertise use the language of ethics expertise in ways that reflect competing views about what ethics expertise entails. We argue for clarity in understanding the nature of expertise and ethics expertise. To be an ethics expert, we argue, is to be an expert in knowing what ought to be done. Any attempt to articulate expertise with respect to knowing what ought to be done must include an account of ethics that specifies the nature of moral truth and the means by which we access this truth or a theoretical account of ethics such that expertise in another domain is linked to knowing or being better at judging what ought to be done and the standards by which this “knowing” or “being better at judging” is determined. We conclude with a discussion of the implications of our analysis for the literature on ethics expertise in CEC. We do think that there are clear domains in which a clinical ethics consultant might be expert but we are skeptical about the possibility that this includes ethics expertise. Clinical ethics consultants should not be referred to as ethics experts. PMID:27256848

A Human Factors Analysis of Technical and Team Skills Among Surgical Trainees During Procedural Simulations in a Simulated Operating Theatre

PubMed Central

Moorthy, Krishna; Munz, Yaron; Adams, Sally; Pandey, Vikas; Darzi, Ara

2005-01-01

Background: High-risk organizations such as aviation rely on simulations for the training and assessment of technical and team performance. The aim of this study was to develop a simulated environment for surgical trainees using similar principles. Methods: A total of 27 surgical trainees carried out a simulated procedure in a Simulated Operating Theatre with a standardized OR team. Observation of OR events was carried out by an unobtrusive data collection system: clinical data recorder. Assessment of performance consisted of blinded rating of technical skills, a checklist of technical events, an assessment of communication, and a global rating of team skills by a human factors expert and trained surgical research fellows. The participants underwent a debriefing session, and the face validity of the simulated environment was evaluated. Results: While technical skills rating discriminated between surgeons according to experience (P = 0.002), there were no differences in terms of the checklist and team skills (P = 0.70). While all trainees were observed to gown/glove and handle sharps correctly, low scores were observed for some key features of communication with other team members. Low scores were obtained by the entire cohort for vigilance. Interobserver reliability was 0.90 and 0.89 for technical and team skills ratings. Conclusions: The simulated operating theatre could serve as an environment for the development of surgical competence among surgical trainees. Objective, structured, and multimodal assessment of performance during simulated procedures could serve as a basis for focused feedback during training of technical and team skills. PMID:16244534

Training safer orthopedic surgeons. Construct validation of a virtual-reality simulator for hip fracture surgery.

PubMed

Akhtar, Kashif; Sugand, Kapil; Sperrin, Matthew; Cobb, Justin; Standfield, Nigel; Gupte, Chinmay

2015-01-01

Virtual-reality (VR) simulation in orthopedic training is still in its infancy, and much of the work has been focused on arthroscopy. We evaluated the construct validity of a new VR trauma simulator for performing dynamic hip screw (DHS) fixation of a trochanteric femoral fracture. 30 volunteers were divided into 3 groups according to the number of postgraduate (PG) years and the amount of clinical experience: novice (1-4 PG years; less than 10 DHS procedures); intermediate (5-12 PG years; 10-100 procedures); expert (> 12 PG years; > 100 procedures). Each participant performed a DHS procedure and objective performance metrics were recorded. These data were analyzed with each performance metric taken as the dependent variable in 3 regression models. There were statistically significant differences in performance between groups for (1) number of attempts at guide-wire insertion, (2) total fluoroscopy time, (3) tip-apex distance, (4) probability of screw cutout, and (5) overall simulator score. The intermediate group performed the procedure most quickly, with the lowest fluoroscopy time, the lowest tip-apex distance, the lowest probability of cutout, and the highest simulator score, which correlated with their frequency of exposure to running the trauma lists for hip fracture surgery. This study demonstrates the construct validity of a haptic VR trauma simulator with surgeons undertaking the procedure most frequently performing best on the simulator. VR simulation may be a means of addressing restrictions on working hours and allows trainees to practice technical tasks without putting patients at risk. The VR DHS simulator evaluated in this study may provide valid assessment of technical skill.

System Diagnostic Builder - A rule generation tool for expert systems that do intelligent data evaluation. [applied to Shuttle Mission Simulator

NASA Technical Reports Server (NTRS)

Nieten, Joseph; Burke, Roger

1993-01-01

Consideration is given to the System Diagnostic Builder (SDB), an automated knowledge acquisition tool using state-of-the-art AI technologies. The SDB employs an inductive machine learning technique to generate rules from data sets that are classified by a subject matter expert. Thus, data are captured from the subject system, classified, and used to drive the rule generation process. These rule bases are used to represent the observable behavior of the subject system, and to represent knowledge about this system. The knowledge bases captured from the Shuttle Mission Simulator can be used as black box simulations by the Intelligent Computer Aided Training devices. The SDB can also be used to construct knowledge bases for the process control industry, such as chemical production or oil and gas production.

Determining production level under uncertainty using fuzzy simulation and bootstrap technique, a case study

NASA Astrophysics Data System (ADS)

Hamidi, Mohammadreza; Shahanaghi, Kamran; Jabbarzadeh, Armin; Jahani, Ehsan; Pousti, Zahra

2017-12-01

In every production plant, it is necessary to have an estimation of production level. Sometimes there are many parameters affective in this estimation. In this paper, it tried to find an appropriate estimation of production level for an industrial factory called Barez in an uncertain environment. We have considered a part of production line, which has different production time for different kind of products, which means both environmental and system uncertainty. To solve the problem we have simulated the line and because of the uncertainty in the times, fuzzy simulation is considered. Required fuzzy numbers are estimated by the use of bootstrap technique. The results are used in production planning process by factory experts and have had satisfying consequences. Opinions of these experts about the efficiency of using this methodology, has been attached.

Consensus on items and quantities of clinical equipment required to deal with a mass casualties big bang incident: a national Delphi study.

PubMed

Duncan, Edward A S; Colver, Keith; Dougall, Nadine; Swingler, Kevin; Stephenson, John; Abhyankar, Purva

2014-02-22

Major short-notice or sudden impact incidents, which result in a large number of casualties, are rare events. However health services must be prepared to respond to such events appropriately. In the United Kingdom (UK), a mass casualties incident is when the normal response of several National Health Service organizations to a major incident, has to be supported with extraordinary measures. Having the right type and quantity of clinical equipment is essential, but planning for such emergencies is challenging. To date, the equipment stored for such events has been selected on the basis of local clinical judgment and has evolved without an explicit evidence-base. This has resulted in considerable variations in the types and quantities of clinical equipment being stored in different locations. This study aimed to develop an expert consensus opinion of the essential items and minimum quantities of clinical equipment that is required to treat 100 people at the scene of a big bang mass casualties event. A three round modified Delphi study was conducted with 32 experts using a specifically developed web-based platform. Individuals were invited to participate if they had personal clinical experience of providing a pre-hospital emergency medical response to a mass casualties incident, or had responsibility in health emergency planning for mass casualties incidents and were in a position of authority within the sphere of emergency health planning. Each item's importance was measured on a 5-point Likert scale. The quantity of items required was measured numerically. Data were analyzed using nonparametric statistics. Experts achieved consensus on a total of 134 items (54%) on completion of the study. Experts did not reach consensus on 114 (46%) items. Median quantities and interquartile ranges of the items, and their recommended quantities were identified and are presented. This study is the first to produce an expert consensus on the items and quantities of clinical equipment that are required to treat 100 people at the scene of a big bang mass casualties event. The findings can be used, both in the UK and internationally, to support decision makers in the planning of equipment for such incidents.

Cooperating Expert Systems For Space Station Power Distribution Management

NASA Astrophysics Data System (ADS)

Nguyen, T. A.; Chiou, W. C.

1987-02-01

In a complex system such as the manned Space Station, it is deem necessary that many expert systems must perform tasks in a concurrent and cooperative manner. An important question arise is: what cooperative-task-performing models are appropriate for multiple expert systems to jointly perform tasks. The solution to this question will provide a crucial automation design criteria for the Space Station complex systems architecture. Based on a client/server model for performing tasks, we have developed a system that acts as a front-end to support loosely-coupled communications between expert systems running on multiple Symbolics machines. As an example, we use two ART*-based expert systems to demonstrate the concept of parallel symbolic manipulation for power distribution management and dynamic load planner/scheduler in the simulated Space Station environment. This on-going work will also explore other cooperative-task-performing models as alternatives which can evaluate inter and intra expert system communication mechanisms. It will be served as a testbed and a bench-marking tool for other Space Station expert subsystem communication and information exchange.

Is Contrast Enhanced Ultrasonography a useful tool in a beginner's hand? How much can a Computer Assisted Diagnosis prototype help in characterizing the malignancy of focal liver lesions?

PubMed

Moga, Tudor Voicu; Popescu, Alina; Sporea, Ioan; Danila, Mirela; David, Ciprian; Gui, Vasile; Iacob, Nicoleta; Miclaus, Gratian; Sirli, Roxana

2017-08-23

Contrast enhanced ultrasound (CEUS) improved the characterization of focal liver lesions (FLLs), but is an operatordependent method. The goal of this paper was to test a computer assisted diagnosis (CAD) prototype and to see its benefit in assisting a beginner in the evaluation of FLLs. Our cohort included 97 good quality CEUS videos[34% hepatocellular carcinomas (HCC), 12.3% hypervascular metastases (HiperM), 11.3% hypovascular metastases (HipoM), 24.7% hemangiomas (HMG), 17.5% focal nodular hyperplasia (FNH)] that were used to develop a CAD prototype based on an algorithm that tested a binary decision based classifier. Two young medical doctors (1 year CEUS experience), two experts and the CAD prototype, reevaluated 50 FLLs CEUS videos (diagnosis of benign vs. malignant) first blinded to clinical data, in order to evaluate the diagnostic gap beginner vs. expert. The CAD classifier managed a 75.2% overall (benign vs. malignant) correct classification rate. The overall classification rates for the evaluators, before and after clinical data were: first beginner-78%; 94%; second beginner-82%; 96%; first expert-94%; 100%; second expert-96%; 98%. For both beginners, the malignant vs. benign diagnosis significantly improved after knowing the clinical data (p=0.005; p=0,008). The expert was better than the beginner (p=0.04) and better than the CAD (p=0.001). CAD in addition to the beginner can reach the expert diagnosis. The most frequent lesions misdiagnosed at CEUS were FNH and HCC. The CAD prototype is a good comparing tool for a beginner operator that can be developed to assist the diagnosis. In order to increase the classification rate, the CAD system for FLL in CEUS must integrate the clinical data.

Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution

NASA Astrophysics Data System (ADS)

Baldacchino, Tara; Worden, Keith; Rowson, Jennifer

2017-02-01

A novel variational Bayesian mixture of experts model for robust regression of bifurcating and piece-wise continuous processes is introduced. The mixture of experts model is a powerful model which probabilistically splits the input space allowing different models to operate in the separate regions. However, current methods have no fail-safe against outliers. In this paper, a robust mixture of experts model is proposed which consists of Student-t mixture models at the gates and Student-t distributed experts, trained via Bayesian inference. The Student-t distribution has heavier tails than the Gaussian distribution, and so it is more robust to outliers, noise and non-normality in the data. Using both simulated data and real data obtained from the Z24 bridge this robust mixture of experts performs better than its Gaussian counterpart when outliers are present. In particular, it provides robustness to outliers in two forms: unbiased parameter regression models, and robustness to overfitting/complex models.

Design and implementation of expert decision system in Yellow River Irrigation

NASA Astrophysics Data System (ADS)

Fuping, Wang; Bingbing, Lei; Jie, Pan

2018-03-01

How to make full use of water resources in the Yellow River irrigation is a problem needed to be solved urgently. On account of the different irrigation strategies in various growth stages of wheat, this paper proposes a novel irrigation expert decision system basing on fuzzy control technique. According to the control experience, expert knowledge and MATLAB simulation optimization, we obtain the irrigation fuzzy control table stored in the computer memory. The controlling irrigation is accomplished by reading the data from fuzzy control table. The experimental results show that the expert system can be used in the production of wheat to achieve timely and appropriate irrigation, and ensure that wheat growth cycle is always in the best growth environment.

What Is Cough?

MedlinePlus

... Visit Children and Clinical Studies to hear experts, parents, and children talk about their experiences with clinical ... Pneumonitis Idiopathic Pulmonary Fibrosis Pneumonia Pulmonary Function ...

Method of App Selection for Healthcare Providers Based on Consumer Needs.

PubMed

Lee, Jisan; Kim, Jeongeun

2018-01-01

Mobile device applications can be used to manage health. However, healthcare providers hesitate to use them because selection methods that consider the needs of health consumers and identify the most appropriate application are rare. This study aimed to create an effective method of identifying applications that address user needs. Women experiencing dysmenorrhea and premenstrual syndrome were the targeted users. First, we searched for related applications from two major sources of mobile applications. Brainstorming, mind mapping, and persona and scenario techniques were used to create a checklist of relevant criteria, which was used to rate the applications. Of the 2784 applications found, 369 were analyzed quantitatively. Of those, five of the top candidates were evaluated by three groups: application experts, clinical experts, and potential users. All three groups ranked one application the highest; however, the remaining rankings differed. The results of this study suggest that the method created is useful because it considers not only the needs of various users but also the knowledge of application and clinical experts. This study proposes a method for finding and using the best among existing applications and highlights the need for nurses who can understand and combine opinions of users and application and clinical experts.

Assessment of the severity of asthma by an expert system. Description and evaluation.

PubMed

Redier, H; Daures, J P; Michel, C; Proudhon, H; Vervloet, D; Charpin, D; Marsac, J; Dusser, D; Brambilla, C; Wallaert, B

1995-02-01

Asthmaexpert, an expert system (ES), was produced at the special request of several clinicians in order to better understand the medical decisions made clinical experts in managing an asthmatic patient. We describe and evaluate this knowledge base, focusing mainly on assessment of the severity of asthma. After compiling data from a patient, Asthmaexpert assesses the severity of the disease and identifies the trigger factors involved, suggests any further investigations that may be required, and offers a treatment strategy. Implemented with Nexpert and Hypercard, it runs on a MacIntosh personal computer. The validation stage involved eight clinical experts who provided 20 case report forms (CRF) with their conclusions about management of asthma. The CRF were then programmed into the ES, which provided its own conclusions about the same subjects. Afterward, all the experts evaluated the conclusions given by ES or by their colleagues in a double-blind manner. One hundred twenty-seven CRF were available. The reliability of the experts' opinions was good, with a substantial consensus between them when assessing severity scores (kappa = 0.27 to 0.54). There was no difference in concordance of opinions on severity scores either between the experts who designed the system and ES or between the other experts and ES (weighted kappa = 0.72 and 0.69, respectively). Experts judged that the severity scores given by ES were as good as those proposed by their colleagues, and that the overall conclusions given by ES were as good as or better than those given by their colleagues. The conclusions drawn by ES were given a good rating.(ABSTRACT TRUNCATED AT 250 WORDS)

A Child's Concept of Pain: An International Survey of Pediatric Pain Experts.

PubMed

Pate, Joshua W; Hush, Julia M; Hancock, Mark J; Moseley, G Lorimer; Butler, David S; Simons, Laura E; Pacey, Verity

2018-01-15

A child's 'concept of pain' refers to how they understand what pain actually is, what function pain serves, and what biological processes are thought to underpin it. We aimed to determine pediatric pain experts' opinions of: (1) the importance and usefulness of assessing a child's concept of pain in clinical and/or research settings; (2) the usefulness of the content of items within currently published adult-targeted resources for assessing a child's concept of pain; and (3) important domains of a child's concept of pain to assess. Forty-nine pediatric pain experts (response rate = 75.4%) completed an online survey. Descriptive statistics and frequency of responses were analyzed. Experts from all included disciplines reported that assessing a child's concept of pain is important and useful both clinically and in a research setting (>80% reported very or extremely useful for each item). Experts considered that the content of 13 items from currently published adult-targeted resources was useful, but the wording was too complex for children aged 8-12 years. Experts considered that all seven of the proposed domains of a child's concept of pain was important to assess. The findings can be used to inform the development of an assessment tool for a child's concept of pain.

Adversarial allegiance: The devil is in the evidence details, not just on the witness stand.

PubMed

McAuliff, Bradley D; Arter, Jeana L

2016-10-01

This study examined the potential influence of adversarial allegiance on expert testimony in a simulated child sexual abuse case. A national sample of 100 witness suggestibility experts reviewed a police interview of an alleged 5-year-old female victim. Retaining party (prosecution, defense) and interview suggestibility (low, high) varied across experts. Experts were very willing to testify, but more so for the prosecution than the defense when interview suggestibility was low and vice versa when interview suggestibility was high. Experts' anticipated testimony focused more on prodefense aspects of the police interview and child's memory overall (negativity bias), but favored retaining party only when interview suggestibility was low. Prosecution-retained experts shifted their focus from prodefense aspects of the case in the high suggestibility interview to proprosecution aspects in the low suggestibility interview; defense experts did not. Blind raters' perceptions of expert focus mirrored those findings. Despite an initial bias toward retaining party, experts' evaluations of child victim accuracy and police interview quality were lower in the high versus low interview suggestibility condition only. Our data suggest that adversarial allegiance exists, that it can (but not always) influence how experts process evidence, and that it may be more likely in cases involving evidence that is not blatantly flawed. Defense experts may evaluate this type of evidence more negatively than prosecution experts because of negativity bias and positive testing strategies associated with confirmation bias. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Adversarial Allegiance: The Devil is in the Evidence Details, Not Just on the Witness Stand

PubMed Central

McAuliff, Bradley D.; Arter, Jeana L.

2016-01-01

This study examined the potential influence of adversarial allegiance on expert testimony in a simulated child sexual abuse case. A national sample of 100 witness suggestibility experts reviewed a police interview of an alleged 5 year-old female victim. Retaining party (prosecution, defense) and interview suggestibility (low, high) varied across experts. Experts were very willing to testify, but more so for the prosecution than the defense when interview suggestibility was low and vice versa when interview suggestibility was high. Experts' anticipated testimony focused more on pro-defense aspects of the police interview and child's memory overall (negativity bias), but favored retaining party only when interview suggestibility was low. Unlike prosecution-retained experts who shifted their focus from pro-defense aspects of the case in the high suggestibility interview to pro-prosecution aspects in the low suggestibility interview, defense experts did not. Blind raters' perceptions of expert focus mirrored those findings. Despite an initial bias toward retaining party, experts' evaluations of child victim accuracy and interview quality were lower in the high versus low interview suggestibility condition only. Our data suggest that adversarial allegiance exists, that it can (but not always) influence how experts process evidence, and that it may be more likely in cases involving evidence that is not blatantly flawed. Defense experts may evaluate this type of evidence more negatively than prosecution experts due to negativity bias and positive testing strategies associated with confirmation bias. PMID:27243362

Using cognitive task analysis to develop simulation-based training for medical tasks.

PubMed

Cannon-Bowers, Jan; Bowers, Clint; Stout, Renee; Ricci, Katrina; Hildabrand, Annette

2013-10-01

Pressures to increase the efficacy and effectiveness of medical training are causing the Department of Defense to investigate the use of simulation technologies. This article describes a comprehensive cognitive task analysis technique that can be used to simultaneously generate training requirements, performance metrics, scenario requirements, and simulator/simulation requirements for medical tasks. On the basis of a variety of existing techniques, we developed a scenario-based approach that asks experts to perform the targeted task multiple times, with each pass probing a different dimension of the training development process. In contrast to many cognitive task analysis approaches, we argue that our technique can be highly cost effective because it is designed to accomplish multiple goals. The technique was pilot tested with expert instructors from a large military medical training command. These instructors were employed to generate requirements for two selected combat casualty care tasks-cricothyroidotomy and hemorrhage control. Results indicated that the technique is feasible to use and generates usable data to inform simulation-based training system design. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

Aesthetic Leadership: Its Place in the Clinical Nursing World.

PubMed

Mannix, Judy; Wilkes, Lesley; Daly, John

2015-05-01

Clinical leadership has been identified as crucial to positive patient/client outcomes, across all clinical settings. In the new millennium, transformational leadership has been the dominant leadership style and in more recent times, congruent leadership theory has emerged to explain clinical leadership in nursing. This article discusses these two leadership models and identifies some of the shortcomings of them as models for clinical leadership in nursing. As a way of overcoming some of these limitations, aesthetic leadership is proposed as a style of leadership that is not antithetical to either model and reflects nursing's recognition of the validity of art and aesthetics to nursing generally. Aesthetic leadership is also proposed as a way to identify an expert clinical leader from a less experienced clinical leader, taking a similar approach to the way Benner (1984) has theorised in her staging of novice to expert clinical nurse.

Development and Validation of a Tool to Evaluate the Evolution of Clinical Reasoning in Trauma Using Virtual Patients.

PubMed

Fleiszer, David; Hoover, Michael L; Posel, Nancy; Razek, Tarek; Bergman, Simon

Undergraduate medical students at a large academic trauma center are required to manage a series of online virtual trauma patients as a mandatory exercise during their surgical rotation. Clinical reasoning during undergraduate medical education can be difficult to assess. The purpose of the study was to determine whether we could use components of the students' virtual patient management to measure changes in their clinical reasoning over the course of the clerkship year. In order to accomplish this, we decided to determine if the use of scoring rubrics could change the traditional subjective assessment to a more objective evaluation. Two groups of students, one at the beginning of clerkship (Juniors) and one at the end of clerkship (Seniors), were chosen. Each group was given the same virtual patient case, a clinical scenario based on the Advanced Trauma Life Support (ATLS) Primary Trauma Survey, which had to be completed during their trauma rotation. The learner was required to make several key patient management choices based on their clinical reasoning, which would take them along different routes through the case. At the end of the case they had to create a summary report akin to sign-off. These summaries were graded independently by two domain "Experts" using a traditional subjective surgical approach to assessment and by two "Non-Experts" using two internally validated scoring rubrics. One rubric assessed procedural or domain knowledge (Procedural Rubric), while the other rubric highlighted semantic qualifiers (Semantic Rubric). Each of the rubrics was designed to reflect established components of clinical reasoning. Student's t-tests were used to compare the rubric scores for the two groups and Cohen's d was used to determine effect size. Kendall's τ was used to compare the difference between the two groups based on the "Expert's" subjective assessment. Inter-rater reliability (IRR) was determined using Cronbach's alpha. The Seniors did better than the Juniors with respect to "Procedural" issues but not for "Semantic" issues using the rubrics as assessed by the "Non-Experts". The average Procedural rubric score for the Senior group was 59% ± 13% while for the junior group, it was 51% ± 12% (t (80) = 2.715; p = 0.008; Cohen's d = 1.53). The average Semantic rubric score for the Senior group was 31% ± 15% while for the Junior group, it was 28% ± 14% (t (80) = 1.010; p = .316, ns). There was no statistical difference in the marks given to the Senior versus Junior groups by the "Experts" (Kendall's τ = 0.182, p = 0.07). The IRR between the "Non-Experts" using the rubrics was higher than the IRR of the "Experts" using the traditional surgical approach to assessment. The Cronbach's alpha for the Procedural and Semantic rubrics was 0.94 and 0.97, respectively, indicating very high IRR. The correlation between the Procedural rubric scores and "Experts" assessment was approximately r = 0.78, and that between the Semantic rubric and the "Experts" assessment was roughly r = 0.66, indicating high concurrent validity for the Procedural rubric and moderately high validity for the Semantic rubric. Clinical reasoning, as measured by some of its "procedural" features, improves over the course of the clerkship year. Rubrics can be created to objectively assess the summary statement of an online interactive trauma VP for "procedural" issues but not for "semantic" issues. Using IRR as a measure, the quality of assessment is improved using the rubrics. The "Procedural" rubric appears to measure changes in clinical reasoning over the course of 3rd-year undergraduate clinical studies. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Modeling Negotiation by a Paticipatory Approach

NASA Astrophysics Data System (ADS)

Torii, Daisuke; Ishida, Toru; Bousquet, François

In a participatory approach by social scientists, role playing games (RPG) are effectively used to understand real thinking and behavior of stakeholders, but RPG is not sufficient to handle a dynamic process like negotiation. In this study, a participatory simulation where user-controlled avatars and autonomous agents coexist is introduced to the participatory approach for modeling negotiation. To establish a modeling methodology of negotiation, we have tackled the following two issues. First, for enabling domain experts to concentrate interaction design for participatory simulation, we have adopted the architecture in which an interaction layer controls agents and have defined three types of interaction descriptions (interaction protocol, interaction scenario and avatar control scenario) to be described. Second, for enabling domain experts and stakeholders to capitalize on participatory simulation, we have established a four-step process for acquiring negotiation model: 1) surveys and interviews to stakeholders, 2) RPG, 3) interaction design, and 4) participatory simulation. Finally, we discussed our methodology through a case study of agricultural economics in the northeast Thailand.

An investigation of automatic exposure control calibration for chest imaging with a computed radiography system.

PubMed

Moore, C S; Wood, T J; Avery, G; Balcam, S; Needler, L; Beavis, A W; Saunderson, J R

2014-05-07

The purpose of this study was to examine the use of three physical image quality metrics in the calibration of an automatic exposure control (AEC) device for chest radiography with a computed radiography (CR) imaging system. The metrics assessed were signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and mean effective noise equivalent quanta (eNEQm), all measured using a uniform chest phantom. Subsequent calibration curves were derived to ensure each metric was held constant across the tube voltage range. Each curve was assessed for its clinical appropriateness by generating computer simulated chest images with correct detector air kermas for each tube voltage, and grading these against reference images which were reconstructed at detector air kermas correct for the constant detector dose indicator (DDI) curve currently programmed into the AEC device. All simulated chest images contained clinically realistic projected anatomy and anatomical noise and were scored by experienced image evaluators. Constant DDI and CNR curves do not appear to provide optimized performance across the diagnostic energy range. Conversely, constant eNEQm and SNR do appear to provide optimized performance, with the latter being the preferred calibration metric given as it is easier to measure in practice. Medical physicists may use the SNR image quality metric described here when setting up and optimizing AEC devices for chest radiography CR systems with a degree of confidence that resulting clinical image quality will be adequate for the required clinical task. However, this must be done with close cooperation of expert image evaluators, to ensure appropriate levels of detector air kerma.

An investigation of automatic exposure control calibration for chest imaging with a computed radiography system

NASA Astrophysics Data System (ADS)

Moore, C. S.; Wood, T. J.; Avery, G.; Balcam, S.; Needler, L.; Beavis, A. W.; Saunderson, J. R.

2014-05-01

The purpose of this study was to examine the use of three physical image quality metrics in the calibration of an automatic exposure control (AEC) device for chest radiography with a computed radiography (CR) imaging system. The metrics assessed were signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and mean effective noise equivalent quanta (eNEQm), all measured using a uniform chest phantom. Subsequent calibration curves were derived to ensure each metric was held constant across the tube voltage range. Each curve was assessed for its clinical appropriateness by generating computer simulated chest images with correct detector air kermas for each tube voltage, and grading these against reference images which were reconstructed at detector air kermas correct for the constant detector dose indicator (DDI) curve currently programmed into the AEC device. All simulated chest images contained clinically realistic projected anatomy and anatomical noise and were scored by experienced image evaluators. Constant DDI and CNR curves do not appear to provide optimized performance across the diagnostic energy range. Conversely, constant eNEQm and SNR do appear to provide optimized performance, with the latter being the preferred calibration metric given as it is easier to measure in practice. Medical physicists may use the SNR image quality metric described here when setting up and optimizing AEC devices for chest radiography CR systems with a degree of confidence that resulting clinical image quality will be adequate for the required clinical task. However, this must be done with close cooperation of expert image evaluators, to ensure appropriate levels of detector air kerma.

Acute Respiratory Distress Syndrome Measurement Error. Potential Effect on Clinical Study Results

PubMed Central

Cooke, Colin R.; Iwashyna, Theodore J.; Hofer, Timothy P.

2016-01-01

Rationale: Identifying patients with acute respiratory distress syndrome (ARDS) is a recognized challenge. Experts often have only moderate agreement when applying the clinical definition of ARDS to patients. However, no study has fully examined the implications of low reliability measurement of ARDS on clinical studies. Objectives: To investigate how the degree of variability in ARDS measurement commonly reported in clinical studies affects study power, the accuracy of treatment effect estimates, and the measured strength of risk factor associations. Methods: We examined the effect of ARDS measurement error in randomized clinical trials (RCTs) of ARDS-specific treatments and cohort studies using simulations. We varied the reliability of ARDS diagnosis, quantified as the interobserver reliability (κ-statistic) between two reviewers. In RCT simulations, patients identified as having ARDS were enrolled, and when measurement error was present, patients without ARDS could be enrolled. In cohort studies, risk factors as potential predictors were analyzed using reviewer-identified ARDS as the outcome variable. Measurements and Main Results: Lower reliability measurement of ARDS during patient enrollment in RCTs seriously degraded study power. Holding effect size constant, the sample size necessary to attain adequate statistical power increased by more than 50% as reliability declined, although the result was sensitive to ARDS prevalence. In a 1,400-patient clinical trial, the sample size necessary to maintain similar statistical power increased to over 1,900 when reliability declined from perfect to substantial (κ = 0.72). Lower reliability measurement diminished the apparent effectiveness of an ARDS-specific treatment from a 15.2% (95% confidence interval, 9.4–20.9%) absolute risk reduction in mortality to 10.9% (95% confidence interval, 4.7–16.2%) when reliability declined to moderate (κ = 0.51). In cohort studies, the effect on risk factor associations was similar. Conclusions: ARDS measurement error can seriously degrade statistical power and effect size estimates of clinical studies. The reliability of ARDS measurement warrants careful attention in future ARDS clinical studies. PMID:27159648

Clinical Ethics Consultants are not “Ethics” Experts—But They do Have Expertise 1

PubMed Central

Rasmussen, Lisa M.

2016-01-01

The attempt to critique the profession of clinical ethics consultation by establishing the impossibility of ethics expertise has been a red herring. Decisions made in clinical ethics cases are almost never based purely on moral judgments. Instead, they are all-things-considered judgments that involve determining how to balance other values as well. A standard of justified decision-making in this context would enable us to identify experts who could achieve these standards more often than others, and thus provide a basis for expertise in clinical ethics consultation. This expertise relies in part on what Richard Zaner calls the “expert knowledge of ethical phenomena” (1988, 8). PMID:27302970

Recommendations for the clinical evaluation of agents for treatment of osteoporosis: consensus of an expert panel representing the American Society for Bone and Mineral Research (ASBMR), the International Society for Clinical Densitometry (ISCD), and the National Osteoporosis Foundation (NOF).

PubMed

Silverman, Stuart L; Cummings, Steven R; Watts, Nelson B

2008-01-01

A panel of experts representing ASBMR, NOF, and ISCD reviewed evidence and reached consensus that regulatory approval of treatments for osteoporosis should be based on trials with fracture endpoints, lasting 18-24 mo, and extending treatment to 5 yr; other indications could be approved based on BMD and turnover markers. In response to an FDA request for clinical trial guidance in osteoporosis, an expert panel was convened with representatives from the American Society of Bone and Mineral Research, the International Society of Clinical Densitometry, and the National Osteoporosis Foundation. The panel used a validated evidence-based expert panel process (the Rand Appropriateness Method) to address issues of trial duration, trial design, use of intermediate endpoints as outcomes, and use of placebo-controlled trials in high-risk patients. The panel concluded that placebo-controlled trials with fracture endpoints are appropriate and, with informed consent, are ethical for registration of new compounds. Trials may be 18-24 mo in duration for efficacy, assuming longer duration to 5 yr for safety and demonstration of sustained fracture reduction. Once fracture efficacy has been established for a particular agent, intermediate endpoints (e.g., BMD and bone turnover markers) may be used as outcomes for new indications other than corticosteroid-induced osteoporosis.

Power subsystem automation study

NASA Technical Reports Server (NTRS)

Tietz, J. C.; Sewy, D.; Pickering, C.; Sauers, R.

1984-01-01

The purpose of the phase 2 of the power subsystem automation study was to demonstrate the feasibility of using computer software to manage an aspect of the electrical power subsystem on a space station. The state of the art in expert systems software was investigated in this study. This effort resulted in the demonstration of prototype expert system software for managing one aspect of a simulated space station power subsystem.

MO-E-BRB-03: Panel Member

DOE Office of Scientific and Technical Information (OSTI.GOV)

Salter, B.

2016-06-15

In this interactive session, lung SBRT patient cases will be presented to highlight real-world considerations for ensuring safe and accurate treatment delivery. An expert panel of speakers will discuss challenges specific to lung SBRT including patient selection, patient immobilization techniques, 4D CT simulation and respiratory motion management, target delineation for treatment planning, online treatment alignment, and established prescription regimens and OAR dose limits. Practical examples of cases, including the patient flow thought the clinical process are presented and audience participation will be encouraged. This panel session is designed to provide case demonstration and review for lung SBRT in terms ofmore » (1) clinical appropriateness in patient selection, (2) strategies for simulation, including 4D and respiratory motion management, and (3) applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent, and (4) image guidance in treatment delivery. Learning Objectives: Understand the established requirements for patient selection in lung SBRT Become familiar with the various immobilization strategies for lung SBRT, including technology for respiratory motion management Understand the benefits and pitfalls of applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent determination for lung SBRT Understand established prescription regimes and OAR dose limits.« less

MO-E-BRB-01: Panel Member

DOE Office of Scientific and Technical Information (OSTI.GOV)

Benedict, S.

2016-06-15

In this interactive session, lung SBRT patient cases will be presented to highlight real-world considerations for ensuring safe and accurate treatment delivery. An expert panel of speakers will discuss challenges specific to lung SBRT including patient selection, patient immobilization techniques, 4D CT simulation and respiratory motion management, target delineation for treatment planning, online treatment alignment, and established prescription regimens and OAR dose limits. Practical examples of cases, including the patient flow thought the clinical process are presented and audience participation will be encouraged. This panel session is designed to provide case demonstration and review for lung SBRT in terms ofmore » (1) clinical appropriateness in patient selection, (2) strategies for simulation, including 4D and respiratory motion management, and (3) applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent, and (4) image guidance in treatment delivery. Learning Objectives: Understand the established requirements for patient selection in lung SBRT Become familiar with the various immobilization strategies for lung SBRT, including technology for respiratory motion management Understand the benefits and pitfalls of applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent determination for lung SBRT Understand established prescription regimes and OAR dose limits.« less

Simulation-Based Mastery Learning with Deliberate Practice Improves Clinical Performance in Spinal Anesthesia

PubMed Central

Udani, Ankeet D.; Macario, Alex; Tanaka, Maria A.; Tanaka, Pedro P.

2014-01-01

Introduction. Properly performing a subarachnoid block (SAB) is a competency expected of anesthesiology residents. We aimed to determine if adding simulation-based deliberate practice to a base curriculum improved performance of a SAB. Methods. 21 anesthesia residents were enrolled. After baseline assessment of SAB on a task-trainer, all residents participated in a base curriculum. Residents were then randomized so that half received additional deliberate practice including repetition and expert-guided, real-time feedback. All residents were then retested for technique. SABs on all residents' next three patients were evaluated in the operating room (OR). Results. Before completing the base curriculum, the control group completed 81% of a 16-item performance checklist on the task-trainer and this increased to 91% after finishing the base curriculum (P < 0.02). The intervention group also increased the percentage of checklist tasks properly completed from 73% to 98%, which was a greater increase than observed in the control group (P < 0.03). The OR time required to perform SAB was not different between groups. Conclusions. The base curriculum significantly improved resident SAB performance. Deliberate practice training added a significant, independent, incremental benefit. The clinical impact of the deliberate practice intervention in the OR on patient care is unclear. PMID:25157263

Simulation-based mastery learning with deliberate practice improves clinical performance in spinal anesthesia.

PubMed

Udani, Ankeet D; Macario, Alex; Nandagopal, Kiruthiga; Tanaka, Maria A; Tanaka, Pedro P

2014-01-01

Introduction. Properly performing a subarachnoid block (SAB) is a competency expected of anesthesiology residents. We aimed to determine if adding simulation-based deliberate practice to a base curriculum improved performance of a SAB. Methods. 21 anesthesia residents were enrolled. After baseline assessment of SAB on a task-trainer, all residents participated in a base curriculum. Residents were then randomized so that half received additional deliberate practice including repetition and expert-guided, real-time feedback. All residents were then retested for technique. SABs on all residents' next three patients were evaluated in the operating room (OR). Results. Before completing the base curriculum, the control group completed 81% of a 16-item performance checklist on the task-trainer and this increased to 91% after finishing the base curriculum (P < 0.02). The intervention group also increased the percentage of checklist tasks properly completed from 73% to 98%, which was a greater increase than observed in the control group (P < 0.03). The OR time required to perform SAB was not different between groups. Conclusions. The base curriculum significantly improved resident SAB performance. Deliberate practice training added a significant, independent, incremental benefit. The clinical impact of the deliberate practice intervention in the OR on patient care is unclear.

MO-E-BRB-00: PANEL DISCUSSION: SBRT/SRS Case Studies - Lung

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

2016-06-15

In this interactive session, lung SBRT patient cases will be presented to highlight real-world considerations for ensuring safe and accurate treatment delivery. An expert panel of speakers will discuss challenges specific to lung SBRT including patient selection, patient immobilization techniques, 4D CT simulation and respiratory motion management, target delineation for treatment planning, online treatment alignment, and established prescription regimens and OAR dose limits. Practical examples of cases, including the patient flow thought the clinical process are presented and audience participation will be encouraged. This panel session is designed to provide case demonstration and review for lung SBRT in terms ofmore » (1) clinical appropriateness in patient selection, (2) strategies for simulation, including 4D and respiratory motion management, and (3) applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent, and (4) image guidance in treatment delivery. Learning Objectives: Understand the established requirements for patient selection in lung SBRT Become familiar with the various immobilization strategies for lung SBRT, including technology for respiratory motion management Understand the benefits and pitfalls of applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent determination for lung SBRT Understand established prescription regimes and OAR dose limits.« less

Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning.

PubMed

Narayan, Pritesh; Meyer, Patrick; Campbell, Duncan

2013-04-01

This paper presents a new approach for the inclusion of human expert cognition into autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude environments. During typical UAS operations, multiple objectives may exist; therefore, the use of multicriteria decision aid techniques can potentially allow for convergence to trajectory solutions which better reflect overall mission requirements. In that context, additive multiattribute value theory has been applied to optimize trajectories with respect to multiple objectives. A graphical user interface was developed to allow for knowledge capture from a human decision maker (HDM) through simulated decision scenarios. The expert decision data gathered are converted into value functions and corresponding criteria weightings using utility additive theory. The inclusion of preferences elicited from HDM data within an automated decision system allows for the generation of trajectories which more closely represent the candidate HDM decision preferences. This approach has been demonstrated in this paper through simulation using a fixed-wing UAS operating in low-altitude environments.

Professionalism in court

PubMed Central

Hutchins, John C.

2014-01-01

Summary Serving as an expert witness can be a rewarding experience. It affords the neurologist the opportunity to contribute expertise to the legal system's pursuit of justice and benefits the public interest. However, serving as an expert witness without understanding and incorporating relevant professional and specialty guidelines concerning expert witness testimony can place the neurologist at risk. The American Academy of Neurology has established standards governing expert witness testimony and a disciplinary process to respond to complaints of violation of its standards. Increased understanding of and adherence to these qualifications and guidelines, coupled with an awareness of how the legal system differs from clinical practice, will better equip neurologists serving as expert witnesses and minimize their professional risk when doing so. PMID:25279255

NETL- AVESTAR

ScienceCinema

None

2018-02-13

NETL's Advanced Virtual Energy Simulation Training and Research, or AVESTAR, Center is designed to promote operational excellence for the nation's energy systems, from smart power plants to smart grid. The AVESTAR Center brings together advanced dynamic simulation and control technologies, state-of-the-art simulation-based training facilities, and leading industry experts to focus on the optimal operation of clean energy plants in the smart grid era.

Middle Rio Grande Cooperative Water Model

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tidwell, Vince; Passell, Howard

2005-11-01

This is computer simulation model built in a commercial modeling product Called Studio Expert, developed by Powersim, Inc. The simulation model is built in a system dynamics environment, allowing the simulation of the interaction among multiple systems that are all changing over time. The model focuses on hydrology, ecology, demography, and economy of the Middle Rio Grande, with Water as the unifying feature.

[Equipment and technology in robotics].

PubMed

Murphy, Declan; Challacombe, Ben; Nedas, Tim; Elhage, Oussama; Althoefer, Kaspar; Seneviratne, Lakmal; Dasgupta, Prokar

2007-05-01

We review the evolution and current status of robotic equipment and technology in urology. We also describe future developments in the key areas of virtual reality simulation, mechatronics and nanorobotics. The history of robotic technology is reviewed and put into the context of current systems. Experts in the associated fields of nanorobotics, mechatronics and virtual reality simulation simulation review the important future developments in these areas.

Design and evaluation of an augmented reality simulator using leap motion.

PubMed

Wright, Trinette; de Ribaupierre, Sandrine; Eagleson, Roy

2017-10-01

Advances in virtual and augmented reality (AR) are having an impact on the medical field in areas such as surgical simulation. Improvements to surgical simulation will provide students and residents with additional training and evaluation methods. This is particularly important for procedures such as the endoscopic third ventriculostomy (ETV), which residents perform regularly. Simulators such as NeuroTouch, have been designed to aid in training associated with this procedure. The authors have designed an affordable and easily accessible ETV simulator, and compare it with the existing NeuroTouch for its usability and training effectiveness. This simulator was developed using Unity, Vuforia and the leap motion (LM) for an AR environment. The participants, 16 novices and two expert neurosurgeons, were asked to complete 40 targeting tasks. Participants used the NeuroTouch tool or a virtual hand controlled by the LM to select the position and orientation for these tasks. The length of time to complete each task was recorded and the trajectory log files were used to calculate performance. The resulting data from the novices' and experts' speed and accuracy are compared, and they discuss the objective performance of training in terms of the speed and accuracy of targeting accuracy for each system.

Design and evaluation of an augmented reality simulator using leap motion

PubMed Central

de Ribaupierre, Sandrine; Eagleson, Roy

2017-01-01

Advances in virtual and augmented reality (AR) are having an impact on the medical field in areas such as surgical simulation. Improvements to surgical simulation will provide students and residents with additional training and evaluation methods. This is particularly important for procedures such as the endoscopic third ventriculostomy (ETV), which residents perform regularly. Simulators such as NeuroTouch, have been designed to aid in training associated with this procedure. The authors have designed an affordable and easily accessible ETV simulator, and compare it with the existing NeuroTouch for its usability and training effectiveness. This simulator was developed using Unity, Vuforia and the leap motion (LM) for an AR environment. The participants, 16 novices and two expert neurosurgeons, were asked to complete 40 targeting tasks. Participants used the NeuroTouch tool or a virtual hand controlled by the LM to select the position and orientation for these tasks. The length of time to complete each task was recorded and the trajectory log files were used to calculate performance. The resulting data from the novices' and experts' speed and accuracy are compared, and they discuss the objective performance of training in terms of the speed and accuracy of targeting accuracy for each system. PMID:29184667

Pulmonary exacerbation in adults with bronchiectasis: a consensus definition for clinical research.

PubMed

Hill, Adam T; Haworth, Charles S; Aliberti, Stefano; Barker, Alan; Blasi, Francesco; Boersma, Wim; Chalmers, James D; De Soyza, Anthony; Dimakou, Katerina; Elborn, J Stuart; Feldman, Charles; Flume, Patrick; Goeminne, Pieter C; Loebinger, Michael R; Menendez, Rosario; Morgan, Lucy; Murris, Marlene; Polverino, Eva; Quittner, Alexandra; Ringshausen, Felix C; Tino, Gregory; Torres, Antoni; Vendrell, Montserrat; Welte, Tobias; Wilson, Rob; Wong, Conroy; O'Donnell, Anne; Aksamit, Timothy

2017-06-01

There is a need for a clear definition of exacerbations used in clinical trials in patients with bronchiectasis. An expert conference was convened to develop a consensus definition of an exacerbation for use in clinical research.A systematic review of exacerbation definitions used in clinical trials from January 2000 until December 2015 and involving adults with bronchiectasis was conducted. A Delphi process followed by a round-table meeting involving bronchiectasis experts was organised to reach a consensus definition. These experts came from Europe (representing the European Multicentre Bronchiectasis Research Collaboration), North America (representing the US Bronchiectasis Research Registry/COPD Foundation), Australasia and South Africa.The definition was unanimously approved by the working group as: a person with bronchiectasis with a deterioration in three or more of the following key symptoms for at least 48 h: cough; sputum volume and/or consistency; sputum purulence; breathlessness and/or exercise tolerance; fatigue and/or malaise; haemoptysis AND a clinician determines that a change in bronchiectasis treatment is required.The working group proposes the use of this consensus-based definition for bronchiectasis exacerbation in future clinical research involving adults with bronchiectasis. Copyright ©ERS 2017.

Royal Australian and New Zealand College of Psychiatrists clinical practice guideline for the management of deliberate self-harm.

PubMed

Carter, Gregory; Page, Andrew; Large, Matthew; Hetrick, Sarah; Milner, Allison Joy; Bendit, Nick; Walton, Carla; Draper, Brian; Hazell, Philip; Fortune, Sarah; Burns, Jane; Patton, George; Lawrence, Mark; Dadd, Lawrence; Robinson, Jo; Christensen, Helen

2016-10-01

To provide guidance for the organisation and delivery of clinical services and the clinical management of patients who deliberately self-harm, based on scientific evidence supplemented by expert clinical consensus and expressed as recommendations. Articles and information were sourced from search engines including PubMed, EMBASE, MEDLINE and PsycINFO for several systematic reviews, which were supplemented by literature known to the deliberate self-harm working group, and from published systematic reviews and guidelines for deliberate self-harm. Information was reviewed by members of the deliberate self-harm working group, and findings were then formulated into consensus-based recommendations and clinical guidance. The guidelines were subjected to successive consultation and external review involving expert and clinical advisors, the public, key stakeholders, professional bodies and specialist groups with interest and expertise in deliberate self-harm. The Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for deliberate self-harm provide up-to-date guidance and advice regarding the management of deliberate self-harm patients, which is informed by evidence and clinical experience. The clinical practice guidelines for deliberate self-harm is intended for clinical use and service development by psychiatrists, psychologists, physicians and others with an interest in mental health care. The clinical practice guidelines for deliberate self-harm address self-harm within specific population sub-groups and provide up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus. © The Royal Australian and New Zealand College of Psychiatrists 2016.

Semi-automatic generation of medical tele-expert opinion for primary care physician.

PubMed

Biermann, E; Rihl, J; Schenker, M; Standl, E

2003-01-01

A computer-based system has been developed for the generation of medical expert opinions on the insulin-resistance syndrome, based on clinical data obtained from primary care physicians. An expert opinion for each patient was generated by using a decision tree for entering individual text modules and by adding optional free text. The expert opinions were returned by e-mail, telefax or by ordinary mail. 1389 primary care physician sent anonymous data sets and requested expert opinions for a total of 3768 patients. Through the set up of a rule-based system an automation of the generation of the expert opinions could be achieved and the generation time dropped from initially 40 minutes to less than 5 minutes at the end. By using predefined text modules and a rule based system, a large number of medical expert opinions can be generated with relatively few additional resources.

Mining data from hemodynamic simulations for generating prediction and explanation models.

PubMed

Bosnić, Zoran; Vračar, Petar; Radović, Milos D; Devedžić, Goran; Filipović, Nenad D; Kononenko, Igor

2012-03-01

One of the most common causes of human death is stroke, which can be caused by carotid bifurcation stenosis. In our work, we aim at proposing a prototype of a medical expert system that could significantly aid medical experts to detect hemodynamic abnormalities (increased artery wall shear stress). Based on the acquired simulated data, we apply several methodologies for1) predicting magnitudes and locations of maximum wall shear stress in the artery, 2) estimating reliability of computed predictions, and 3) providing user-friendly explanation of the model's decision. The obtained results indicate that the evaluated methodologies can provide a useful tool for the given problem domain. © 2012 IEEE

Software Design for Interactive Graphic Radiation Treatment Simulation Systems*

PubMed Central

Kalet, Ira J.; Sweeney, Christine; Jacky, Jonathan

1990-01-01

We examine issues in the design of interactive computer graphic simulation programs for radiation treatment planning (RTP), as well as expert system programs that automate parts of the RTP process, in light of ten years of experience at designing, building and using such programs. An experiment in object-oriented design using standard Pascal shows that while some advantage is gained from the design, it is still difficult to achieve modularity and to integrate expert system components. A new design based on the Common LISP Object System (CLOS) is described. This series of designs for RTP software shows that this application benefits in specific ways from object-oriented design methods and appropriate languages and tools.

Development of the Canadian Physiotherapy Assessment of Clinical Performance: A New Tool to Assess Physiotherapy Students' Performance in Clinical Education.

PubMed

Mori, Brenda; Brooks, Dina; Norman, Kathleen E; Herold, Jodi; Beaton, Dorcas E

2015-08-01

To develop the first draft of a Canadian tool to assess physiotherapy (PT) students' performance in clinical education (CE). Phase 1: to gain consensus on the items within the new tool, the number and placement of the comment boxes, and the rating scale; Phase 2: to explore the face and content validity of the draft tool. Phase 1 used the Delphi method; Phase 2 used cognitive interviewing methods with recent graduates and clinical instructors (CIs) and detailed interviews with clinical education and measurement experts. Consensus was reached on the first draft of the new tool by round 3 of the Delphi process, which was completed by 21 participants. Interviews were completed with 13 CIs, 6 recent graduates, and 7 experts. Recent graduates and CIs were able to interpret the tool accurately, felt they could apply it to a recent CE experience, and provided suggestions to improve the draft. Experts provided salient advice. The first draft of a new tool to assess PT students in CE, the Canadian Physiotherapy Assessment of Clinical Performance (ACP), was developed and will undergo further development and testing, including national consultation with stakeholders. Data from Phase 2 will contribute to developing an online education module for CIs and students.

Using Simulation to Improve Systems-Based Practices.

PubMed

Gardner, Aimee K; Johnston, Maximilian; Korndorffer, James R; Haque, Imad; Paige, John T

2017-09-01

Ensuring the safe, effective management of patients requires efficient processes of care within a smoothly operating system in which highly reliable teams of talented, skilled health care providers are able to use the vast array of high-technology resources and intensive care techniques available. Simulation can play a unique role in exploring and improving the complex perioperative system by proactively identifying latent safety threats and mitigating their damage to ensure that all those who work in this critical health care environment can provide optimal levels of patient care. A panel of five experts from a wide range of institutions was brought together to discuss the added value of simulation-based training for improving systems-based aspects of the perioperative service line. Panelists shared the way in which simulation was demonstrated at their institutions. The themes discussed by each panel member were delineated into four avenues through which simulation-based techniques have been used. Simulation-based techniques are being used in (1) testing new clinical workspaces and facilities before they open to identify potential latent conditions; (2) practicing how to identify the deteriorating patient and escalate care in an effective manner; (3) performing prospective root cause analyses to address system weaknesses leading to sentinel events; and (4) evaluating the efficiency and effectiveness of the electronic health record in the perioperative setting. This focused review of simulation-based interventions to test and improve components of the perioperative microsystem, which includes literature that has emerged since the panel's presentation, highlights the broad-based utility of simulation-based technologies in health care. Copyright © 2017 The Joint Commission. Published by Elsevier Inc. All rights reserved.

Individualised Expert Feedback is Not Essential for Improving Basic Clinical Skills Performance in Novice Learners: A Randomized Trial.

PubMed

Phillips, Alexander W; Matthan, Joanna; Bookless, Lucy R; Whitehead, Ian J; Madhavan, Anantha; Rodham, Paul; Porter, Anna L R; Nesbitt, Craig I; Stansby, Gerard

To determine whether unsupervised video feedback (UVF) is as effective as direct expert feedback (DEF) in improving clinical skills performance for medical students learning basic surgical skills-intravenous cannulation, catheterization, and suturing. Feedback is a vital component of the learning process, yet great variation persists in its quality, quantity, and methods of delivery. The use of video technology to assist in the provision of feedback has been adopted increasingly. A prospective, blinded randomized trial comparing DEF, an expert reviewing students' performances with subsequent improvement suggestions, and UVF, students reviewing their own performance with an expert teaching video, was carried out. Medical students received an initial teaching lecture on intravenous cannulation, catheterization, and suturing and were then recorded performing the task. They subsequently received either DEF or UVF before reperforming the task. Students' recordings were additionally scored by 2 blinded experts using a validated proforma. A total of 71 medical students were recruited. Cannulation scores improved 4.3% with DEF and 9.5% with UVF (p = 0.044), catheterization scores improved 8.7% with DEF and 8.9% with UVF (p = 0.96), and suturing improved 15.6% with DEF and 13.2% with UVF (p = 0.54). Improvement from baseline scores was significant in all cases (p < 0.05). Video-assisted feedback allows a significant improvement in clinical skills for novices. No significant additional benefit was demonstrated from DEF, and a similar improvement can be obtained using a generic expert video and allowing students to review their own performance. This could have significant implications for the design and delivery of such training. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Expert Recommendations on Treating Psoriasis in Special Circumstances (Part II).

PubMed

Carrascosa, J M; Galán, M; de Lucas, R; Pérez-Ferriols, A; Ribera, M; Yanguas, I

2016-11-01

There is insufficient information on how best to treat moderate to severe psoriasis in difficult clinical circumstances. We considered 5 areas where there is conflicting or insufficient evidence: pediatric psoriasis, risk of infection in patients being treated with biologics, psoriasis in difficult locations, biologic drug survival, and impact of disease on quality of life. Following discussion of the issues by an expert panel of dermatologists specialized in the management of psoriasis, participants answered a questionnaire survey according to the Delphi method. Consensus was reached on 66 (70.9%) of the 93 items analyzed; the experts agreed with 49 statements and disagreed with 17. It was agreed that body mass index, metabolic comorbidities, and quality of life should be monitored in children with psoriasis. The experts also agreed that the most appropriate systemic treatment for this age group was methotrexate, while the most appropriate biologic treatment was etanercept. Although it was recognized that the available evidence was inconsistent and difficult to extrapolate, the panel agreed that biologic drug survival could be increased by flexible, individualized dosing regimens, continuous treatment, and combination therapies. Finally, consensus was reached on using the Dermatology Quality of Life Index to assess treatment effectiveness and aid decision-making in clinical practice. The structured opinion of experts guides decision-making regarding aspects of clinical practice for which there is incomplete or conflicting information. Copyright © 2016 AEDV. Publicado por Elsevier España, S.L.U. All rights reserved.

Impact of New Regulations On Assessing Driving Status (INROADS): a South Australian seizure clinic cohort.

PubMed

Hafner, Jessica; Horn, Sharon; Robinson, Martin; Purdie, Grant; Jannes, Jim

2014-11-01

The ability to drive is important to patients and driving restriction often leads to restriction of employment and social opportunities. In March 2012, Austroads released revised Assessing Fitness to Drive Guidelines (AFTDG) with significant changes for drivers with seizures and epilepsy. Our study aimed to assess the impact of the 2012 AFTDG on a Seizure Clinic cohort compared to the previous 2003 AFTDG and an individual's current driving status. We also aimed to quantify the difference in AFTDG interpretation between expert and non-expert doctors. We performed a retrospective observational audit of case notes for all patients managed in a public hospital outpatient Seizure Clinic between 1 March 2010 and 1 March 2012. A total of 142 patients were included in the analysis. Comparison between the 2003 and 2012 AFTDG resulted in reduced eligibility to drive a private vehicle by 2.1% (52.5% versus 50.4%) and commercial vehicle by 2.2% (4.5% versus 2.3%). The proportion of those currently driving against guideline recommendations increased (private 8.8% versus 19%; commercial 50% versus 100%) and the non-expert assessor was more likely to agree with the experts with the 2012 AFTDG. In summary, the 2012 AFTDG has had a measurable impact on driving eligibility in individuals with seizure although it is easier to interpret for non-expert doctors. Greater awareness of the 2012 AFTDG is required to reduce the proportion of patients driving against current recommendations. Copyright © 2014 Elsevier Ltd. All rights reserved.

Rapid prototyping 3D virtual world interfaces within a virtual factory environment

NASA Technical Reports Server (NTRS)

Kosta, Charles Paul; Krolak, Patrick D.

1993-01-01

On-going work into user requirements analysis using CLIPS (NASA/JSC) expert systems as an intelligent event simulator has led to research into three-dimensional (3D) interfaces. Previous work involved CLIPS and two-dimensional (2D) models. Integral to this work was the development of the University of Massachusetts Lowell parallel version of CLIPS, called PCLIPS. This allowed us to create both a Software Bus and a group problem-solving environment for expert systems development. By shifting the PCLIPS paradigm to use the VEOS messaging protocol we have merged VEOS (HlTL/Seattle) and CLIPS into a distributed virtual worlds prototyping environment (VCLIPS). VCLIPS uses the VEOS protocol layer to allow multiple experts to cooperate on a single problem. We have begun to look at the control of a virtual factory. In the virtual factory there are actors and objects as found in our Lincoln Logs Factory of the Future project. In this artificial reality architecture there are three VCLIPS entities in action. One entity is responsible for display and user events in the 3D virtual world. Another is responsible for either simulating the virtual factory or communicating with the real factory. The third is a user interface expert. The interface expert maps user input levels, within the current prototype, to control information for the factory. The interface to the virtual factory is based on a camera paradigm. The graphics subsystem generates camera views of the factory on standard X-Window displays. The camera allows for view control and object control. Control or the factory is accomplished by the user reaching into the camera views to perform object interactions. All communication between the separate CLIPS expert systems is done through VEOS.

Development and piloting the Woman Centred Care Scale (WCCS).

PubMed

Brady, Susannah; Bogossian, Fiona; Gibbons, Kristen

2017-06-01

In midwifery we espouse a woman centred care approach to practice, yet in midwifery education no valid instrument exists with which to measure the performance of these behaviours in midwifery students. To develop and validate an instrument to measure woman centred care behaviours in midwifery students. We identified four core concepts; woman's sphere, holism, self-determination and the shared power relationship. We mapped 18 individual descriptive care behaviours (from the Australian National Competency Standards for the Midwife) to these concepts to create an instrument to articulate and measure care behaviours that are specifically woman centred. Review by expert midwifery clinicians ensured face, content and construct validity of the scale and predictive validity and reliability were tested in a simulated learning environment. Midwifery students were video recorded performing a clinical skill and the videos were reviewed and rated by two expert clinicians who assessed the woman centred care behaviours demonstrated by the students (n=69). Test and re-test reliability of the instrument was high for each of the individual raters (Kappa 0.946 and 0.849 respectively p<0.001). However, when raters were compared there were differences between their scores suggesting variation in their expectations of woman centred care behaviours (Kappa 0.470, p<0.001). Midwifery students who had repeated exposures to higher levels of simulation fidelity demonstrated higher levels of woman centred care behaviours. The WCCS has implications for education and the wider midwifery profession in recognising and maintaining practice consistent with the underlying philosophy of woman centred care. Copyright © 2016 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Development and user validation of driving tasks for a power wheelchair simulator.

PubMed

Archambault, Philippe S; Blackburn, Émilie; Reid, Denise; Routhier, François; Miller, William C

2017-07-01

Mobility is important for participation in daily activities and a power wheelchair (PW) can improve quality of life of individuals with mobility impairments. A virtual reality simulator may be helpful in complementing PW skills training, which is generally seen as insufficient by both clinicians and PW users. To this end, specific, ecologically valid activities, such as entering an elevator and navigating through a shopping mall crowd, have been added to the McGill wheelchair (miWe) simulator through a user-centred approach. The objective of this study was to validate the choice of simulated activities in a group of newly trained PW users. We recruited 17 new PW users, who practiced with the miWe simulator at home for two weeks. They then related their experience through the Short Feedback Questionnaire, the perceived Ease of Use Questionnaire, and semi-structured interviews. Participants in general greatly appreciated their experience with the simulator. During the interviews, this group made similar comments about the activities as our previous group of expert PW users had done. They also insisted on the importance of realism in the miWe activities, for their use in training. A PW simulator may be helpful if it supports the practice of activities in specific contexts (such as a bathroom or supermarket), to complement the basic skills training received in the clinic (such as driving forward, backward, turning, and avoiding obstacles). Implications for Rehabilitation New power wheelchair users appreciate practicing on a virtual reality simulator and find the experience useful when the simulated diving activities are realistic and ecologically valid. User-centred development can lead to simulated power wheelchair activities that adequately capture everyday driving challenges experienced in various environmental contexts.

Retention of colonoscopy skills after virtual reality simulator training by independent and proctored methods.

PubMed

Snyder, Christopher W; Vandromme, Marianne J; Tyra, Sharon L; Hawn, Mary T

2010-07-01

Virtual reality (VR) simulators may enhance surgical resident colonoscopy skills, but the duration of skill retention and the effects of different simulator training methods are unknown. Medical students participating in a randomized trial of independent (automated simulator feedback only) versus proctored (human expert feedback plus simulator feedback) simulator training performed a standardized VR colonoscopy scenario at baseline, at the end of training (posttraining), and after a median 4.5 months without practice (retention). Performances were scored on a 10-point scale based on expert proficiency criteria and compared for the independent and proctored groups. Thirteen trainees (8 proctored, 5 independent) were included. Performance at retention testing was significantly better than baseline (median score 10 vs. 5, P < 0.0001), and no different from posttraining (median score 10 vs. 10, P = 0.19). Score changes from baseline to retention and from posttraining to retention were no different for the proctored and independent groups. Overinsufflation and excessive force were the most common reasons for nonproficiency at retention. After proficiency-based VR simulator training, colonoscopy skills are retained for several months, regardless of whether an independent or proctored approach is used. Error avoidance skills may not be retained as well as speed and efficiency skills.

Notification of real-time clinical alerts generated by pharmacy expert systems.

PubMed Central

Miller, J. E.; Reichley, R. M.; McNamee, L. A.; Steib, S. A.; Bailey, T. C.

1999-01-01

We developed and implemented a strategy for notifying clinical pharmacists of alerts generated in real-time by two pharmacy expert systems: one for drug dosing and the other for adverse drug event prevention. Display pagers were selected as the preferred notification method and a concise, yet readable, format for displaying alert data was developed. This combination of real-time alert generation and notification via display pagers was shown to be efficient and effective in a 30-day trial. PMID:10566374

How can movement quality be promoted in clinical practice? A phenomenological study of physical therapist experts.

PubMed

Skjaerven, Liv Helvik; Kristoffersen, Kjell; Gard, Gunvor

2010-10-01

In recent years, physical therapists have paid greater attention to body awareness. Clinicians have witnessed the benefits of supporting their patients' learning of movement awareness through the promotion of their movement quality. The aim of this study was to investigate how physical therapist experts promote movement quality in their usual clinical settings. A phenomenological research design that included a sampling strategy was devised. Using specific criteria, 6 lead physical therapists nominated a group of physical therapist experts from the fields of neurology, primary health care, and mental health. Fifteen informants, 5 from each field, agreed to participate. In-depth interviews were conducted with a semistructured interview guide. The informants were invited to simply describe what they had experienced to be successful therapeutic processes for promoting movement quality. Each interview was audiotaped and transcribed. The data analysis was based on a multistep model. Three main themes emerged from the data. First, the physical therapists' embodied presence and movement awareness served as a precondition and an orientation for practice. Embodied presence is a bodily felt sense, a form of personal knowing that evokes understanding and fosters meaning. Second, creating a platform for promoting movement quality revealed implementation of psychological attitudes. Third, action strategies for promoting movement quality suggested a movement awareness learning cycle and components for clinical use. This study demonstrated specific attitudes and skills used by physical therapist experts to promote movement quality in their clinical practice. These results may serve as a therapeutic framework for promoting movement quality in clinical physical therapy, although further research is needed.

Replication of clinical innovations in multiple medical practices.

PubMed

Henley, N S; Pearce, J; Phillips, L A; Weir, S

1998-11-01

Many clinical innovations had been successfully developed and piloted in individual medical practice units of Kaiser Permanente in North Carolina during 1995 and 1996. Difficulty in replicating these clinical innovations consistently throughout all 21 medical practice units led to development of the interdisciplinary Clinical Innovation Implementation Team, which was formed by using existing resources from various departments across the region. REPLICATION MODEL: Based on a model of transfer of best practices, the implementation team developed a process and tools (master schedule and activity matrix) to quickly replicate successful pilot projects throughout all medical practice units. The process involved the following steps: identifying a practice and delineating its characteristics and measures (source identification); identifying a team to receive the (new) practice; piloting the practice; and standardizing, including the incorporation of learnings. The model includes the following components for each innovation: sending and receiving teams, an innovation coordinator role, an innovation expert role, a location expert role, a master schedule, and a project activity matrix. Communication depended on a partnership among the location experts (local knowledge and credibility), the innovation coordinator (process expertise), and the innovation experts (content expertise). Results after 12 months of working with the 21 medical practice units include integration of diabetes care team services into the practices, training of more than 120 providers in the use of personal computers and an icon-based clinical information system, and integration of a planwide self-care program into the medical practices--all with measurable improved outcomes. The model for sequential replication and the implementation team structure and function should be successful in other organizational settings.

Expert System Shells for Rapid Clinical Decision Support Module Development: An ESTA Demonstration of a Simple Rule-Based System for the Diagnosis of Vaginal Discharge

PubMed Central

2012-01-01

Objectives This study demonstrates the feasibility of using expert system shells for rapid clinical decision support module development. Methods A readily available expert system shell was used to build a simple rule-based system for the crude diagnosis of vaginal discharge. Pictures and 'canned text explanations' are extensively used throughout the program to enhance its intuitiveness and educational dimension. All the steps involved in developing the system are documented. Results The system runs under Microsoft Windows and is available as a free download at http://healthcybermap.org/vagdisch.zip (the distribution archive includes both the program's executable and the commented knowledge base source as a text document). The limitations of the demonstration system, such as the lack of provisions for assessing uncertainty or various degrees of severity of a sign or symptom, are discussed in detail. Ways of improving the system, such as porting it to the Web and packaging it as an app for smartphones and tablets, are also presented. Conclusions An easy-to-use expert system shell enables clinicians to rapidly become their own 'knowledge engineers' and develop concise evidence-based decision support modules of simple to moderate complexity, targeting clinical practitioners, medical and nursing students, as well as patients, their lay carers and the general public (where appropriate). In the spirit of the social Web, it is hoped that an online repository can be created to peer review, share and re-use knowledge base modules covering various clinical problems and algorithms, as a service to the clinical community. PMID:23346475

An Internationally Consented Standard for Nursing Process-Clinical Decision Support Systems in Electronic Health Records.

PubMed

Müller-Staub, Maria; de Graaf-Waar, Helen; Paans, Wolter

2016-11-01

Nurses are accountable to apply the nursing process, which is key for patient care: It is a problem-solving process providing the structure for care plans and documentation. The state-of-the art nursing process is based on classifications that contain standardized concepts, and therefore, it is named Advanced Nursing Process. It contains valid assessments, nursing diagnoses, interventions, and nursing-sensitive patient outcomes. Electronic decision support systems can assist nurses to apply the Advanced Nursing Process. However, nursing decision support systems are missing, and no "gold standard" is available. The study aim is to develop a valid Nursing Process-Clinical Decision Support System Standard to guide future developments of clinical decision support systems. In a multistep approach, a Nursing Process-Clinical Decision Support System Standard with 28 criteria was developed. After pilot testing (N = 29 nurses), the criteria were reduced to 25. The Nursing Process-Clinical Decision Support System Standard was then presented to eight internationally known experts, who performed qualitative interviews according to Mayring. Fourteen categories demonstrate expert consensus on the Nursing Process-Clinical Decision Support System Standard and its content validity. All experts agreed the Advanced Nursing Process should be the centerpiece for the Nursing Process-Clinical Decision Support System and should suggest research-based, predefined nursing diagnoses and correct linkages between diagnoses, evidence-based interventions, and patient outcomes.

Mock ECHO: A Simulation-Based Medical Education Method.

PubMed

Fowler, Rebecca C; Katzman, Joanna G; Comerci, George D; Shelley, Brian M; Duhigg, Daniel; Olivas, Cynthia; Arnold, Thomas; Kalishman, Summers; Monnette, Rebecca; Arora, Sanjeev

2018-04-16

This study was designed to develop a deeper understanding of the learning and social processes that take place during the simulation-based medical education for practicing providers as part of the Project ECHO® model, known as Mock ECHO training. The ECHO model is utilized to expand access to care of common and complex diseases by supporting the education of primary care providers with an interprofessional team of specialists via videoconferencing networks. Mock ECHO trainings are conducted through a train the trainer model targeted at leaders replicating the ECHO model at their organizations. Trainers conduct simulated teleECHO clinics while participants gain skills to improve communication and self-efficacy. Three focus groups, conducted between May 2015 and January 2016 with a total of 26 participants, were deductively analyzed to identify common themes related to simulation-based medical education and interdisciplinary education. Principal themes generated from the analysis included (a) the role of empathy in community development, (b) the value of training tools as guides for learning, (c) Mock ECHO design components to optimize learning, (d) the role of interdisciplinary education to build community and improve care delivery, (e) improving care integration through collaboration, and (f) development of soft skills to facilitate learning. Mock ECHO trainings offer clinicians the freedom to learn in a noncritical environment while emphasizing real-time multidirectional feedback and encouraging knowledge and skill transfer. The success of the ECHO model depends on training interprofessional healthcare providers in behaviors needed to lead a teleECHO clinic and to collaborate in the educational process. While building a community of practice, Mock ECHO provides a safe opportunity for a diverse group of clinician experts to practice learned skills and receive feedback from coparticipants and facilitators.

Construct validity of the Health Science Reasoning Test.

PubMed

Huhn, Karen; Black, Lisa; Jensen, Gail M; Deutsch, Judith E

2011-01-01

The aim of this study was to evaluate the construct validity of the Health Science Reasoning Test (HSRT) by determining if the test could discriminate between expert and novice physical therapists' critical-thinking skills. Experts identified from a random list of certified clinical specialists and students in the first year of their physical therapy education from two physical therapy programs completed the HSRT. Experts (n = 73) had a higher total HSRT score (mean 24.06, SD 3.92) than the novices (n = 79) (mean 22.49, SD 3.2), with the difference being statistically significant t (148) = 2.67, p = 0.008. The HSRT total score discriminated between expert and novice critical-thinking skills, therefore establishing construct validity. To our knowledge, this is the first study to compare expert and novice performance on a standardized test. The opportunity to have a tool that provides evidence of students' critical thinking skills could be helpful for educators and students. The test results could aid in identifying areas of students' strengths and weaknesses, thereby enabling targeted remediation to improve critical thinking skills, which are key factors in clinical reasoning, a necessary skill for effective physical therapy practice.

An application of object-oriented knowledge representation to engineering expert systems

NASA Technical Reports Server (NTRS)

Logie, D. S.; Kamil, H.; Umaretiya, J. R.

1990-01-01

The paper describes an object-oriented knowledge representation and its application to engineering expert systems. The object-oriented approach promotes efficient handling of the problem data by allowing knowledge to be encapsulated in objects and organized by defining relationships between the objects. An Object Representation Language (ORL) was implemented as a tool for building and manipulating the object base. Rule-based knowledge representation is then used to simulate engineering design reasoning. Using a common object base, very large expert systems can be developed, comprised of small, individually processed, rule sets. The integration of these two schemes makes it easier to develop practical engineering expert systems. The general approach to applying this technology to the domain of the finite element analysis, design, and optimization of aerospace structures is discussed.

Expert operator's associate: A knowledge based system for spacecraft control

NASA Technical Reports Server (NTRS)

Nielsen, Mogens; Grue, Klaus; Lecouat, Francois

1991-01-01

The Expert Operator's Associate (EOA) project is presented which studies the applicability of expert systems for day-to-day space operations. A prototype expert system is developed, which operates on-line with an existing spacecraft control system at the European Space Operations Centre, and functions as an 'operator's assistant' in controlling satellites. The prototype is demonstrated using an existing real-time simulation model of the MARECS-B2 telecommunication satellite. By developing a prototype system, the extent to which reliability and effectivens of operations can be enhanced by AI based support is examined. In addition the study examines the questions of acquisition and representation of the 'knowledge' for such systems, and the feasibility of 'migration' of some (currently) ground-based functions into future spaceborne autonomous systems.

The Development and Validation of a Concise Instrument for Formative Assessment of Team Leader Performance During Simulated Pediatric Resuscitations.

PubMed

Nadkarni, Lindsay D; Roskind, Cindy G; Auerbach, Marc A; Calhoun, Aaron W; Adler, Mark D; Kessler, David O

2018-04-01

The aim of this study was to assess the validity of a formative feedback instrument for leaders of simulated resuscitations. This is a prospective validation study with a fully crossed (person × scenario × rater) study design. The Concise Assessment of Leader Management (CALM) instrument was designed by pediatric emergency medicine and graduate medical education experts to be used off the shelf to evaluate and provide formative feedback to resuscitation leaders. Four experts reviewed 16 videos of in situ simulated pediatric resuscitations and scored resuscitation leader performance using the CALM instrument. The videos consisted of 4 pediatric emergency department resuscitation teams each performing in 4 pediatric resuscitation scenarios (cardiac arrest, respiratory arrest, seizure, and sepsis). We report on content and internal structure (reliability) validity of the CALM instrument. Content validity was supported by the instrument development process that involved professional experience, expert consensus, focused literature review, and pilot testing. Internal structure validity (reliability) was supported by the generalizability analysis. The main component that contributed to score variability was the person (33%), meaning that individual leaders performed differently. The rater component had almost zero (0%) contribution to variance, which implies that raters were in agreement and argues for high interrater reliability. These results provide initial evidence to support the validity of the CALM instrument as a reliable assessment instrument that can facilitate formative feedback to leaders of pediatric simulated resuscitations.

Developing a Theory-Based Simulation Educator Resource.

PubMed

Thomas, Christine M; Sievers, Lisa D; Kellgren, Molly; Manning, Sara J; Rojas, Deborah E; Gamblian, Vivian C

2015-01-01

The NLN Leadership Development Program for Simulation Educators 2014 faculty development group identified a lack of a common language/terminology to outline the progression of expertise of simulation educators. The group analyzed Benner's novice-to-expert model and applied its levels of experience to simulation educator growth. It established common operational categories of faculty development and used them to organize resources that support progression toward expertise. The resulting theory-based Simulator Educator Toolkit outlines levels of ability and provides quality resources to meet the diverse needs of simulation educators and team members.

Missing data and censoring in the analysis of progression-free survival in oncology clinical trials.

PubMed

Denne, J S; Stone, A M; Bailey-Iacona, R; Chen, T-T

2013-01-01

Progression-free survival (PFS) is increasingly used as a primary endpoint in oncology clinical trials. However, trial conduct is often such that PFS data on some patients may be partially missing either due to incomplete follow-up for progression, or due to data that may be collected but confounded by patients stopping randomized therapy or starting alternative therapy prior to progression. Regulatory guidance on how to handle these patients in the analysis and whether to censor these patients differs between agencies. We present results of a reanalysis of 28 Phase III trials from 12 companies or institutions performed by the Pharmaceutical Research and Manufacturers Association-sponsored PFS Expert Team. We show that analyses not adhering to the intention-to-treat principle tend to give hazard ratio estimates further from unity and describe several factors associated with this shift. We present illustrative simulations to support these findings and provide recommendations for the analysis of PFS.

Basic physiological systems indicator's informative assessment for children and adolescents obesity diagnosis tasks

NASA Astrophysics Data System (ADS)

Marukhina, O. V.; Berestneva, O. G.; Emelyanova, Yu A.; Romanchukov, S. V.; Petrova, L.; Lombardo, C.; Kozlova, N. V.

2018-05-01

The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings.

Torque Control of a Rehabilitation Teaching Robot Using Magneto-Rheological Fluid Clutches

NASA Astrophysics Data System (ADS)

Hakogi, Hokuto; Ohaba, Motoyoshi; Kuramochi, Naimu; Yano, Hidenori

A new robot that makes use of MR-fluid clutches for simulating torque is proposed to provide an appropriate device for training physical therapy students in knee-joint rehabilitation. The feeling of torque provided by the robot is expected to correspond to the torque performance obtained by physical therapy experts in a clinical setting. The torque required for knee-joint rehabilitation, which is a function of the rotational angle and the rotational angular velocity of a knee movement, is modeled using a mechanical system composed of typical spring-mass-damper elements. The robot consists of two MR-fluid clutches, two induction motors, and a feedback control system. In the torque experiments, output torque is controlled using the spring and damper coefficients separately. The values of these coefficients are determined experimentally. The experimental results show that the robot would be suitable for training physical therapy students to experience similar torque feelings as needed in a clinical situation.

Advanced Technology Training System on Motor-Operated Valves

NASA Technical Reports Server (NTRS)

Wiederholt, Bradley J.; Widjaja, T. Kiki; Yasutake, Joseph Y.; Isoda, Hachiro

1993-01-01

This paper describes how features from the field of Intelligent Tutoring Systems are applied to the Motor-Operated Valve (MOV) Advanced Technology Training System (ATTS). The MOV ATTS is a training system developed at Galaxy Scientific Corporation for the Central Research Institute of Electric Power Industry in Japan and the Electric Power Research Institute in the United States. The MOV ATTS combines traditional computer-based training approaches with system simulation, integrated expert systems, and student and expert modeling. The primary goal of the MOV ATTS is to reduce human errors that occur during MOV overhaul and repair. The MOV ATTS addresses this goal by providing basic operational information of the MOV, simulating MOV operation, providing troubleshooting practice of MOV failures, and tailoring this training to the needs of each individual student. The MOV ATTS integrates multiple expert models (functional and procedural) to provide advice and feedback to students. The integration also provides expert model validation support to developers. Student modeling is supported by two separate student models: one model registers and updates the student's current knowledge of basic MOV information, while another model logs the student's actions and errors during troubleshooting exercises. These two models are used to provide tailored feedback to the student during the MOV course.

Expert Design Advisor

DTIC Science & Technology

1990-10-01

to economic, technological, spatial or logistic concerns, or involve training, man-machine interfaces, or integration into existing systems. Once the...probabilistic reasoning, mixed analysis- and simulation-oriented, mixed computation- and communication-oriented, nonpreemptive static priority...scheduling base, nonrandomized, preemptive static priority scheduling base, randomized, simulation-oriented, and static scheduling base. The selection of both

Efficient fuzzy Bayesian inference algorithms for incorporating expert knowledge in parameter estimation

NASA Astrophysics Data System (ADS)

Rajabi, Mohammad Mahdi; Ataie-Ashtiani, Behzad

2016-05-01

Bayesian inference has traditionally been conceived as the proper framework for the formal incorporation of expert knowledge in parameter estimation of groundwater models. However, conventional Bayesian inference is incapable of taking into account the imprecision essentially embedded in expert provided information. In order to solve this problem, a number of extensions to conventional Bayesian inference have been introduced in recent years. One of these extensions is 'fuzzy Bayesian inference' which is the result of integrating fuzzy techniques into Bayesian statistics. Fuzzy Bayesian inference has a number of desirable features which makes it an attractive approach for incorporating expert knowledge in the parameter estimation process of groundwater models: (1) it is well adapted to the nature of expert provided information, (2) it allows to distinguishably model both uncertainty and imprecision, and (3) it presents a framework for fusing expert provided information regarding the various inputs of the Bayesian inference algorithm. However an important obstacle in employing fuzzy Bayesian inference in groundwater numerical modeling applications is the computational burden, as the required number of numerical model simulations often becomes extremely exhaustive and often computationally infeasible. In this paper, a novel approach of accelerating the fuzzy Bayesian inference algorithm is proposed which is based on using approximate posterior distributions derived from surrogate modeling, as a screening tool in the computations. The proposed approach is first applied to a synthetic test case of seawater intrusion (SWI) in a coastal aquifer. It is shown that for this synthetic test case, the proposed approach decreases the number of required numerical simulations by an order of magnitude. Then the proposed approach is applied to a real-world test case involving three-dimensional numerical modeling of SWI in Kish Island, located in the Persian Gulf. An expert elicitation methodology is developed and applied to the real-world test case in order to provide a road map for the use of fuzzy Bayesian inference in groundwater modeling applications.

Working memory, reasoning, and expertise in medicine-insights into their relationship using functional neuroimaging.

PubMed

Hruska, Pam; Krigolson, Olav; Coderre, Sylvain; McLaughlin, Kevin; Cortese, Filomeno; Doig, Christopher; Beran, Tanya; Wright, Bruce; Hecker, Kent G

2016-12-01

Clinical reasoning is dependent upon working memory (WM). More precisely, during the clinical reasoning process stored information within long-term memory is brought into WM to facilitate the internal deliberation that affords a clinician the ability to reason through a case. In the present study, we examined the relationship between clinical reasoning and WM while participants read clinical cases with functional magnetic resonance imaging (fMRI). More specifically, we examined the impact of clinical case difficulty (easy, hard) and clinician level of expertise (2nd year medical students, senior gastroenterologists) on neural activity within regions of cortex associated with WM (i.e., the prefrontal cortex) during the reasoning process. fMRI was used to scan ten second-year medical students and ten practicing gastroenterologists while they reasoned through sixteen clinical cases [eight straight forward (easy) and eight complex (hard)] during a single 1-h scanning session. Within-group analyses contrasted the easy and hard cases which were then subsequently utilized for a between-group analysis to examine effects of expertise (novice > expert, expert > novice). Reading clinical cases evoked multiple neural activations in occipital, prefrontal, parietal, and temporal cortical regions in both groups. Importantly, increased activation in the prefrontal cortex in novices for both easy and hard clinical cases suggests novices utilize WM more so than experts during clinical reasoning. We found that clinician level of expertise elicited differential activation of regions of the human prefrontal cortex associated with WM during clinical reasoning. This suggests there is an important relationship between clinical reasoning and human WM. As such, we suggest future models of clinical reasoning take into account that the use of WM is not consistent throughout all clinical reasoning tasks, and that memory structure may be utilized differently based on level of expertise.

Quality assurance paradigms for artificial intelligence in modelling and simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Oren, T.I.

1987-04-01

New classes of quality assurance concepts and techniques are required for the advanced knowledge-processing paradigms (such as artificial intelligence, expert systems, or knowledge-based systems) and the complex problems that only simulative systems can cope with. A systematization of quality assurance problems as well as examples are given to traditional and cognizant quality assurance techniques in traditional and cognizant modelling and simulation.

Rare cancers in children - The EXPeRT Initiative: a report from the European Cooperative Study Group on Pediatric Rare Tumors.

PubMed

Bisogno, G; Ferrari, A; Bien, E; Brecht, I B; Brennan, B; Cecchetto, G; Godzinski, J; Orbach, D; Reguerre, Y; Stachowicz-Stencel, T; Schneider, D T

2012-10-01

The low incidence and the heterogeneity of very rare tumors (VRTs) demand for international cooperation. In 2008, EXPeRT (European Cooperative Study Group for Pediatric Rare Tumors) was founded by national groups from Italy, France, United Kingdom, Poland and Germany. The first aims of EXPeRT were to agree on a uniform definition of VRTs and to develop the currently most relevant scientific questions. Current initiatives include international data exchange, retrospective and prospective studies of specific entities, and the development of harmonized and internationally recognized guidelines. Moreover, EXPeRT established a network for expert consultation to assist in clinical decision in VRTs. © Georg Thieme Verlag KG Stuttgart · New York.

Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines

PubMed Central

Wang, Hee Ryung; Bahk, Won-Myong; Seo, Jeong Seok; Woo, Young Sup; Park, Young-Min; Jeong, Jong-Hyun; Kim, Won; Shim, Se-Hoon; Lee, Jung Goo; Jon, Duk-In; Min, Kyung Joon

2017-01-01

In this review, we compared recommendations from the Korean Medication Algorithm Project for Depressive Disorder 2017 (KMAP-DD 2017) to other global treatment guidelines for depression. Six global treatment guidelines were reviewed; among the six, 4 were evidence-based guidelines, 1 was an expert consensus-based guideline, and 1 was an amalgamation of both evidence and expert consensus-based recommendations. The recommendations in the KMAP-DD 2017 were generally similar to those in other global treatment guidelines, although there were some differences between the guidelines. The KMAP-DD 2017 appeared to reflect current changes in the psychopharmacology of depression quite well, like other recently published evidence-based guidelines. As an expert consensus-based guideline, the KMAP-DD 2017 had some limitations. However, considering there are situations in which clinical evidence cannot be drawn from planned clinical trials, the KMAP-DD 2017 may be helpful for Korean psychiatrists making decisions in the clinical settings by complementing previously published evidence-based guidelines. PMID:28783928

[Study on Information Extraction of Clinic Expert Information from Hospital Portals].

PubMed

Zhang, Yuanpeng; Dong, Jiancheng; Qian, Danmin; Geng, Xingyun; Wu, Huiqun; Wang, Li

2015-12-01

Clinic expert information provides important references for residents in need of hospital care. Usually, such information is hidden in the deep web and cannot be directly indexed by search engines. To extract clinic expert information from the deep web, the first challenge is to make a judgment on forms. This paper proposes a novel method based on a domain model, which is a tree structure constructed by the attributes of search interfaces. With this model, search interfaces can be classified to a domain and filled in with domain keywords. Another challenge is to extract information from the returned web pages indexed by search interfaces. To filter the noise information on a web page, a block importance model is proposed. The experiment results indicated that the domain model yielded a precision 10.83% higher than that of the rule-based method, whereas the block importance model yielded an F₁ measure 10.5% higher than that of the XPath method.

‘Research clinics’: online journal clubs between south and north for student mentoring

PubMed Central

Atkins, Salla; Varshney, Dinansha; Meragia, Elnta; Zwarenstein, Merrick; Diwan, Vishal

2016-01-01

Background Capacity development in health research is high on the agenda of many low- and middle-income countries. Objective The ARCADE projects, funded by the EU, have been working in Africa and Asia since 2011 in order to build postgraduate students’ health research capacity. In this short communication, we describe one initiative in these projects, that of research clinics – online journal clubs connecting southern and northern students and experts. Design We describe the implementation of these research clinics together with student and participant experiences. Results From 2012 to 2015, a total of seven journal clubs were presented by students and junior researchers on topics related to global health. Sessions were connected through web conferencing, connecting experts and students from different countries. Conclusions The research clinics succeeded in engaging young researchers across the globe and connecting them with global experts. The contacts and suggestions made were appreciated by students. This format has potential to contribute toward research capacity building in low- and middle-income countries. PMID:27725079

Expert panel consensus recommendations for home blood pressure monitoring in Asia: the Hope Asia Network.

PubMed

Park, Sungha; Buranakitjaroen, Peera; Chen, Chen-Huan; Chia, Yook-Chin; Divinagracia, Romeo; Hoshide, Satoshi; Shin, Jinho; Siddique, Saulat; Sison, Jorge; Soenarta, Arieska Ann; Sogunuru, Guru Prasad; Tay, Jam Chin; Turana, Yuda; Wang, Ji-Guang; Zhang, Yuqing; Kario, Kazuomi

2018-04-01

Hypertension is the leading cause of mortality throughout Asia. Home blood pressure monitoring has the potential to improve hypertension control and is a useful adjunct to conventional office blood pressure measurements due to its diagnostic accuracy and prognostic value in predicting cardiovascular outcomes. At present, there are no region-specific guidelines addressing the use of home blood pressure monitoring in Asia. Therefore, an expert panel was convened to address the use of home blood pressure monitoring and develop key recommendations to help guide clinical practice throughout the Asia region. The resulting recommendations support the use of home blood pressure monitoring with a validated device as an accurate adjunct for diagnosing hypertension and predicting cardiovascular outcome. Diagnosis and treatment of hypertension should still be guided by conventional office/clinic blood pressure measurements. The expert panel encourages the incorporation of home blood pressure monitoring into local clinical guidelines and offers practical recommendations to ensure continuity of care where a validated home blood pressure device is not available.

Individual and Joint Expert Judgments as Reference Standards in Artifact Detection

PubMed Central

Verduijn, Marion; Peek, Niels; de Keizer, Nicolette F.; van Lieshout, Erik-Jan; de Pont, Anne-Cornelie J.M.; Schultz, Marcus J.; de Jonge, Evert; de Mol, Bas A.J.M.

2008-01-01

Objective To investigate the agreement among clinical experts in their judgments of monitoring data with respect to artifacts, and to examine the effect of reference standards that consist of individual and joint expert judgments on the performance of artifact filters. Design Individual judgments of four physicians, a majority vote judgment, and a consensus judgment were obtained for 30 time series of three monitoring variables: mean arterial blood pressure (ABPm), central venous pressure (CVP), and heart rate (HR). The individual and joint judgments were used to tune three existing automated filtering methods and to evaluate the performance of the resulting filters. Measurements The interrater agreement was calculated in terms of positive specific agreement (PSA). The performance of the artifact filters was quantified in terms of sensitivity and positive predictive value (PPV). Results PSA values between 0.33 and 0.85 were observed among clinical experts in their selection of artifacts, with relatively high values for CVP data. Artifact filters developed using judgments of individual experts were found to moderately generalize to new time series and other experts; sensitivity values ranged from 0.40 to 0.60 for ABPm and HR filters (PPV: 0.57–0.84), and from 0.63 to 0.80 for CVP filters (PPV: 0.71–0.86). A higher performance value for the filters was found for the three variable types when joint judgments were used for tuning the filtering methods. Conclusion Given the disagreement among experts in their individual judgment of monitoring data with respect to artifacts, the use of joint reference standards obtained from multiple experts is recommended for development of automatic artifact filters. PMID:18096912

Adaptability of expert visual anticipation in baseball batting.

PubMed

Müller, Sean; Fadde, Peter J; Harbaugh, Allen G

2017-09-01

By manipulating stimulus variation in terms of opponent pitcher actions, this study investigated the capability of expert (n = 30) and near-expert (n = 95) professional baseball batters to adapt anticipation skill when using the video simulation temporal occlusion paradigm. Participants watched in-game footage of two pitchers, one after the other, that was temporally occluded at ball release and various points during ball flight. They were required to make a written prediction of pitch types and locations. Per cent accuracy was calculated for pitch type, for pitch location, and for type and location combined. Results indicated that experts and near-experts could adapt their anticipation to predict above guessing level across both pitchers, but adaptation to the left-handed pitcher was poorer than the right-handed pitcher. Small-to-moderate effect sizes were found in terms of superior adaptation by experts over near-experts at the ball release and early ball flight occlusion conditions. The findings of this study extend theoretical and applied knowledge of expertise in striking sports. Practical application of the instruments and findings are discussed in terms of applied researchers, practitioners and high-performance staff in professional sporting organisations.

Temporal and contextual knowledge in model-based expert systems

NASA Technical Reports Server (NTRS)

Toth-Fejel, Tihamer; Heher, Dennis

1987-01-01

A basic paradigm that allows representation of physical systems with a focus on context and time is presented. Paragon provides the capability to quickly capture an expert's knowledge in a cognitively resonant manner. From that description, Paragon creates a simulation model in LISP, which when executed, verifies that the domain expert did not make any mistakes. The Achille's heel of rule-based systems has been the lack of a systematic methodology for testing, and Paragon's developers are certain that the model-based approach overcomes that problem. The reason this testing is now possible is that software, which is very difficult to test, has in essence been transformed into hardware.

Validation of a Detailed Scoring Checklist for Use During Advanced Cardiac Life Support Certification

PubMed Central

McEvoy, Matthew D.; Smalley, Jeremy C.; Nietert, Paul J.; Field, Larry C.; Furse, Cory M.; Blenko, John W.; Cobb, Benjamin G.; Walters, Jenna L.; Pendarvis, Allen; Dalal, Nishita S.; Schaefer, John J.

2012-01-01

Introduction Defining valid, reliable, defensible, and generalizable standards for the evaluation of learner performance is a key issue in assessing both baseline competence and mastery in medical education. However, prior to setting these standards of performance, the reliability of the scores yielding from a grading tool must be assessed. Accordingly, the purpose of this study was to assess the reliability of scores generated from a set of grading checklists used by non-expert raters during simulations of American Heart Association (AHA) MegaCodes. Methods The reliability of scores generated from a detailed set of checklists, when used by four non-expert raters, was tested by grading team leader performance in eight MegaCode scenarios. Videos of the scenarios were reviewed and rated by trained faculty facilitators and by a group of non-expert raters. The videos were reviewed “continuously” and “with pauses.” Two content experts served as the reference standard for grading, and four non-expert raters were used to test the reliability of the checklists. Results Our results demonstrate that non-expert raters are able to produce reliable grades when using the checklists under consideration, demonstrating excellent intra-rater reliability and agreement with a reference standard. The results also demonstrate that non-expert raters can be trained in the proper use of the checklist in a short amount of time, with no discernible learning curve thereafter. Finally, our results show that a single trained rater can achieve reliable scores of team leader performance during AHA MegaCodes when using our checklist in continuous mode, as measures of agreement in total scoring were very strong (Lin’s Concordance Correlation Coefficient = 0.96; Intraclass Correlation Coefficient = 0.97). Discussion We have shown that our checklists can yield reliable scores, are appropriate for use by non-expert raters, and are able to be employed during continuous assessment of team leader performance during the review of a simulated MegaCode. This checklist may be more appropriate for use by Advanced Cardiac Life Support (ACLS) instructors during MegaCode assessments than current tools provided by the AHA. PMID:22863996

Female orgasm(s): one, two, several.

PubMed

Jannini, Emmanuele A; Rubio-Casillas, Alberto; Whipple, Beverly; Buisson, Odile; Komisaruk, Barry R; Brody, Stuart

2012-04-01

There is general agreement that it is possible to have an orgasm thru the direct simulation of the external clitoris. In contrast, the possibility of achieving climax during penetration has been controversial. Six scientists with different experimental evidence debate the existence of the vaginally activated orgasm (VAO). To give reader of The Journal of Sexual Medicine sufficient data to form her/his own opinion on an important topic of female sexuality. Expert #1, the Controversy's section Editor, together with Expert #2, reviewed data from the literature demonstrating the anatomical possibility for the VAO. Expert #3 presents validating women's reports of pleasurable sexual responses and adaptive significance of the VAO. Echographic dynamic evidence induced Expert # 4 to describe one single orgasm, obtained from stimulation of either the external or internal clitoris, during penetration. Expert #5 reviewed his elegant experiments showing the uniquely different sensory responses to clitoral, vaginal, and cervical stimulation. Finally, the last Expert presented findings on the psychological scenario behind VAO. The assumption that women may experience only the clitoral, external orgasm is not based on the best available scientific evidence. © 2012 International Society for Sexual Medicine.

Interpretative variability and its impact on the prognostic value of myocardial fatty acid imaging in asymptomatic hemodialysis patients in a multicenter trial in Japan.

PubMed

Kiriyama, Tomonari; Kumita, Shin-Ichiro; Moroi, Masao; Nishimura, Tsunehiko; Tamaki, Nagara; Hasebe, Naoyuki; Kikuchi, Kenjiro

2015-01-01

The severity of impaired fatty acid utilization in the myocardium can predict cardiac death in asymptomatic patients on hemodialysis. However, interpretive variability and its impact on the prognostic value of myocardial fatty acid imaging are unknown. A total of 677 patients who received hemodialysis for ≥ 20 years and had one or more cardiovascular risk factors underwent (123)I-labeled β-methyl iodophenyl-pentadecanoic acid (BMIPP) single-photon emission computed tomography (SPECT) at 48 hospitals across Japan. SPECT images were interpreted by experts at the nuclear core laboratory and by readers with varying skill levels at clinical centers, based on the standard 17-segment model and 5-point scoring systems, independently. The κ values only reached fair agreement both for overall impression (κ=0.298, normal vs. abnormal) and for categorical impression (κ=0.244, normal vs. mildly abnormal vs. severely abnormal). The normalcy rate was lower in readers at the clinical centers (60.9%) than in experts (69.9%). In contrast to the results assessed by experts, a Kaplan-Meier analysis based on the interpretation by readers at the clinical centers failed to distinguish the risk of events in patients with normal scans from that of patients with mildly abnormal scans. Considerable variability and its impact on prognostic value were observed in the visual interpretation of BMIPP SPECT images between experts and readers at the clinical centers.

Virtual reality colonoscopy simulation: a compulsory practice for the future colonoscopist?

PubMed

Ahlberg, G; Hultcrantz, R; Jaramillo, E; Lindblom, A; Arvidsson, D

2005-12-01

As for any manual procedure, the learning curves for medical interventions can have undesirable phases, occurring mostly in the early experience of applying a technique. There have been impressive advances in endoscopic procedures during recent years, and there is an emerging trend that the number of procedures is increasing in parallel with these. In addition, the introduction of screening programs for colorectal cancer will also increase the numbers of procedures needed. Recent developments in medical simulation seem promising with regard to the possibility of "training out" undesirable parts of the learning curve outside the operating room. The aim of this study was to investigate whether the use of the AccuTouch flexible endoscopy simulator improves the early part of the learning curve in colonoscopy training. 12 endoscopy trainees, 10 surgeons and two medical gastroenterologists, all with experience in gastroscopy but with no specific colonoscopy experience, were randomly assigned to either simulator training or to a control group. They all received the same theoretical study package and the training group practiced with the AccuTouch colonoscopy simulator until a predefined expert level of performance was reached. All trainees performed their first ten individual colonoscopies described in detail in a separate protocol. Trainees in the simulator-trained group performed significantly better (P=0.0011) and managed to reach the cecum in 52% of their cases (vs. 19% in the control group), and were 4.53 times more likely to succeed compared with the controls. Additionally, there was a significantly shorter procedure time and less patient discomfort in the hands of the simulator-trained group. Skills acquired using the AccuTouch simulator transfer well into the clinical colonoscopy environment. The results of this trial clearly support the plan to integrate simulator training into endoscopic education curricula.

Systems Thinking and Simulation Modeling to Inform Childhood Obesity Policy and Practice.

PubMed

Powell, Kenneth E; Kibbe, Debra L; Ferencik, Rachel; Soderquist, Chris; Phillips, Mary Ann; Vall, Emily Anne; Minyard, Karen J

In 2007, 31.7% of Georgia adolescents in grades 9-12 were overweight or obese. Understanding the impact of policies and interventions on obesity prevalence among young people can help determine statewide public health and policy strategies. This article describes a systems model, originally launched in 2008 and updated in 2014, that simulates the impact of policy interventions on the prevalence of childhood obesity in Georgia through 2034. In 2008, using information from peer-reviewed reports and quantitative estimates by experts in childhood obesity, physical activity, nutrition, and health economics and policy, a group of legislators, legislative staff members, and experts trained in systems thinking and system dynamics modeling constructed a model simulating the impact of policy interventions on the prevalence of childhood obesity in Georgia through 2034. Use of the 2008 model contributed to passage of a bill requiring annual fitness testing of schoolchildren and stricter enforcement of physical education requirements. We updated the model in 2014. With no policy change, the updated model projects that the prevalence of obesity among children and adolescents aged ≤18 in Georgia would hold at 18% from 2014 through 2034. Mandating daily school physical education (which would reduce prevalence to 12%) and integrating moderate to vigorous physical activity into elementary classrooms (which would reduce prevalence to 10%) would have the largest projected impact. Enacting all policies simultaneously would lower the prevalence of childhood obesity from 18% to 3%. Systems thinking, especially with simulation models, facilitates understanding of complex health policy problems. Using a simulation model to educate legislators, educators, and health experts about the policies that have the greatest short- and long-term impact should encourage strategic investment in low-cost, high-return policies.

Validation of the PASSPORT V2 training environment for arthroscopic skills.

PubMed

Stunt, J J; Kerkhoffs, G M M J; Horeman, T; van Dijk, C N; Tuijthof, G J M

2016-06-01

Virtual reality simulators used in the education of orthopaedic residents often lack realistic haptic feedback. To solve this, the (Practice Arthroscopic Surgical Skills for Perfect Operative Real-life Treatment) PASSPORT simulator was developed, which was subjected to fundamental changes: improved realism and user interface. The purpose was to demonstrate its face and construct validity. Thirty-one participants were divided into three groups having different levels of arthroscopic experience. Participants answered questions regarding general information and the outer appearance of the simulator for face validity. Construct validity was assessed with one standardized navigation task, which was timed. Face validity, educational value and user-friendliness were determined with two representative exercises and by asking participants to fill out the questionnaire. A value of 7 or greater was considered sufficient. Construct validity was demonstrated between experts and novices. Median task time for the fifth trial was 55 s (range 17-139 s) for the novices, 33 s (range 17-59 s) for the intermediates, and 26 s (range 14-52 s) for the experts. Median task times of three trials were not significantly different between the novices and intermediates, and none of the trials between intermediates and experts. Face validity, educational value and user-friendliness were perceived as sufficient (median >7). The presence of realistic tactile feedback was considered the biggest asset of the simulator. Proper preparation for arthroscopic operations will increase the quality of real-life surgery and patients' safety. The PASSPORT simulator can assist in achieving this, as it showed construct and face validity, and its physical nature offered adequate haptic feedback during training. This indicates that PASSPORT has potential to evolve as a valuable training modality.

The CanPain SCI Clinical Practice Guidelines for Rehabilitation Management of Neuropathic Pain after Spinal Cord: screening and diagnosis recommendations.

PubMed

Mehta, S; Guy, S D; Bryce, T N; Craven, B C; Finnerup, N B; Hitzig, S L; Orenczuk, S; Siddall, P J; Widerström-Noga, E; Casalino, A; Côté, I; Harvey, D; Kras-Dupuis, A; Lau, B; Middleton, J W; Moulin, D E; O'Connell, C; Parrent, A G; Potter, P; Short, C; Teasell, R; Townson, A; Truchon, C; Wolfe, D; Bradbury, C L; Loh, E

2016-08-01

Clinical practice guidelines. To develop the first Canadian clinical practice guidelines for screening and diagnosis of neuropathic pain in people with spinal cord injury (SCI). The guidelines are relevant for inpatient and outpatient SCI rehabilitation settings in Canada. The CanPainSCI Working Group reviewed evidence to address clinical questions regarding screening and diagnosis of neuropathic pain after SCI. A consensus process was followed to achieve agreement on recommendations and clinical considerations. Twelve recommendations, based on expert consensus, were developed for the screening and diagnosis of neuropathic pain after SCI. The recommendations address methods for assessment, documentation tools, team member accountability, frequency of screening and considerations for diagnostic investigation. Important clinical considerations accompany each recommendation. The expert Working Group developed recommendations for the screening and diagnosis of neuropathic pain after SCI that should be used to inform practice.

Decision-Making Phenomena Described by Expert Nurses Working in Urban Community Health Settings.

ERIC Educational Resources Information Center

Watkins, Mary P.

1998-01-01

Expert community health nurses (n=28) described crucial clinical situations. Content analysis revealed that decision making was both rational and intuitive. Eight themes were identified: decision-making focus, type, purpose, decision-maker characteristics, sequencing of events, data collection methods, facilitators/barriers, and decision-making…

An architecture for a continuous, user-driven, and data-driven application of clinical guidelines and its evaluation.

PubMed

Shalom, Erez; Shahar, Yuval; Lunenfeld, Eitan

2016-02-01

Design, implement, and evaluate a new architecture for realistic continuous guideline (GL)-based decision support, based on a series of requirements that we have identified, such as support for continuous care, for multiple task types, and for data-driven and user-driven modes. We designed and implemented a new continuous GL-based support architecture, PICARD, which accesses a temporal reasoning engine, and provides several different types of application interfaces. We present the new architecture in detail in the current paper. To evaluate the architecture, we first performed a technical evaluation of the PICARD architecture, using 19 simulated scenarios in the preeclampsia/toxemia domain. We then performed a functional evaluation with the help of two domain experts, by generating patient records that simulate 60 decision points from six clinical guideline-based scenarios, lasting from two days to four weeks. Finally, 36 clinicians made manual decisions in half of the scenarios, and had access to the automated GL-based support in the other half. The measures used in all three experiments were correctness and completeness of the decisions relative to the GL. Mean correctness and completeness in the technical evaluation were 1±0.0 and 0.96±0.03 respectively. The functional evaluation produced only several minor comments from the two experts, mostly regarding the output's style; otherwise the system's recommendations were validated. In the clinically oriented evaluation, the 36 clinicians applied manually approximately 41% of the GL's recommended actions. Completeness increased to approximately 93% when using PICARD. Manual correctness was approximately 94.5%, and remained similar when using PICARD; but while 68% of the manual decisions included correct but redundant actions, only 3% of the actions included in decisions made when using PICARD were redundant. The PICARD architecture is technically feasible and is functionally valid, and addresses the realistic continuous GL-based application requirements that we have defined; in particular, the requirement for care over significant time frames. The use of the PICARD architecture in the domain we examined resulted in enhanced completeness and in reduction of redundancies, and is potentially beneficial for general GL-based management of chronic patients. Copyright © 2015 Elsevier Inc. All rights reserved.

Method for distributed agent-based non-expert simulation of manufacturing process behavior

DOEpatents

Ivezic, Nenad; Potok, Thomas E.

2004-11-30

A method for distributed agent based non-expert simulation of manufacturing process behavior on a single-processor computer comprises the steps of: object modeling a manufacturing technique having a plurality of processes; associating a distributed agent with each the process; and, programming each the agent to respond to discrete events corresponding to the manufacturing technique, wherein each discrete event triggers a programmed response. The method can further comprise the step of transmitting the discrete events to each agent in a message loop. In addition, the programming step comprises the step of conditioning each agent to respond to a discrete event selected from the group consisting of a clock tick message, a resources received message, and a request for output production message.

Artificial intelligence within the chemical laboratory.

PubMed

Winkel, P

1994-01-01

Various techniques within the area of artificial intelligence such as expert systems and neural networks may play a role during the problem-solving processes within the clinical biochemical laboratory. Neural network analysis provides a non-algorithmic approach to information processing, which results in the ability of the computer to form associations and to recognize patterns or classes among data. It belongs to the machine learning techniques which also include probabilistic techniques such as discriminant function analysis and logistic regression and information theoretical techniques. These techniques may be used to extract knowledge from example patients to optimize decision limits and identify clinically important laboratory quantities. An expert system may be defined as a computer program that can give advice in a well-defined area of expertise and is able to explain its reasoning. Declarative knowledge consists of statements about logical or empirical relationships between things. Expert systems typically separate declarative knowledge residing in a knowledge base from the inference engine: an algorithm that dynamically directs and controls the system when it searches its knowledge base. A tool is an expert system without a knowledge base. The developer of an expert system uses a tool by entering knowledge into the system. Many, if not the majority of problems encountered at the laboratory level are procedural. A problem is procedural if it is possible to write up a step-by-step description of the expert's work or if it can be represented by a decision tree. To solve problems of this type only small expert system tools and/or conventional programming are required.(ABSTRACT TRUNCATED AT 250 WORDS)

A novel iris transillumination grading scale allowing flexible assessment with quantitative image analysis and visual matching.

PubMed

Wang, Chen; Brancusi, Flavia; Valivullah, Zaheer M; Anderson, Michael G; Cunningham, Denise; Hedberg-Buenz, Adam; Power, Bradley; Simeonov, Dimitre; Gahl, William A; Zein, Wadih M; Adams, David R; Brooks, Brian

2018-01-01

To develop a sensitive scale of iris transillumination suitable for clinical and research use, with the capability of either quantitative analysis or visual matching of images. Iris transillumination photographic images were used from 70 study subjects with ocular or oculocutaneous albinism. Subjects represented a broad range of ocular pigmentation. A subset of images was subjected to image analysis and ranking by both expert and nonexpert reviewers. Quantitative ordering of images was compared with ordering by visual inspection. Images were binned to establish an 8-point scale. Ranking consistency was evaluated using the Kendall rank correlation coefficient (Kendall's tau). Visual ranking results were assessed using Kendall's coefficient of concordance (Kendall's W) analysis. There was a high degree of correlation among the image analysis, expert-based and non-expert-based image rankings. Pairwise comparisons of the quantitative ranking with each reviewer generated an average Kendall's tau of 0.83 ± 0.04 (SD). Inter-rater correlation was also high with Kendall's W of 0.96, 0.95, and 0.95 for nonexpert, expert, and all reviewers, respectively. The current standard for assessing iris transillumination is expert assessment of clinical exam findings. We adapted an image-analysis technique to generate quantitative transillumination values. Quantitative ranking was shown to be highly similar to a ranking produced by both expert and nonexpert reviewers. This finding suggests that the image characteristics used to quantify iris transillumination do not require expert interpretation. Inter-rater rankings were also highly similar, suggesting that varied methods of transillumination ranking are robust in terms of producing reproducible results.

Identifying patients and clinical scenarios for use of long-acting injectable antipsychotics - expert consensus survey part 1.

PubMed

Sajatovic, Martha; Ross, Ruth; Legacy, Susan N; Correll, Christoph U; Kane, John M; DiBiasi, Faith; Fitzgerald, Heather; Byerly, Matthew

2018-01-01

To assess expert consensus on barriers and facilitators for long-acting injectable antipsychotic (LAI) use and provide clinical recommendations on issues where clinical evidence is lacking, including identifying appropriate clinical situations for LAI use. A 50-question survey comprising 916 response options was distributed to 42 research experts and high prescribers with extensive LAI experience. Respondents rated options on relative appropriateness/importance using a 9-point scale. Consensus was determined using chi-square test of score distributions. Mean (standard deviation) ratings were calculated. Responses to 29 questions (577 options) relating to appropriate patients and clinical scenarios for LAI use are reported. Recommendations aligned with research on risk factors for nonadherence and poor outcomes for patients with schizophrenia/schizoaffective or bipolar disorder. Findings suggested, contrary to general practice patterns, that LAI use may be appropriate earlier in the disease course and in younger patients. Results for bipolar disorder were similar to those for schizophrenia but with less consensus. Numerous facilitators of LAI prescribing were considered important, particularly that LAIs may reduce relapses and improve outcomes. Findings support wider use of LAIs in patients with schizophrenia/schizoaffective and bipolar disorders beyond the setting of poor adherence and earlier use in the disease course.

Analysis of Shiphandlers’ Eye-Gaze and Simulation Data for Improvements in COVE-ITS System

DTIC Science & Technology

2017-06-01

study . For experts, we mainly focused on recruiting the instructors stationed at SWOS to volunteer for the study . Students attending...experience on a DDG-51 destroyer were also considered for the expert group. Eleven SWOs volunteered for the study , ten males and one female. One student ...failure on the eye tracking glasses. Hence, we had nine participants who completed the study : five ADOC students , one ADOC instructor, two

Task-Oriented, Naturally Elicited Speech (TONE) Database for the Force Requirements Expert System, Hawaii (FRESH)

DTIC Science & Technology

1988-09-01

Group Subgroup Command and control; Computational linguistics; expert system voice recognition; man- machine interface; U.S. Government 19 Abstract...simulates the characteristics of FRESH on a smaller scale. This study assisted NOSC in developing a voice-recognition, man- machine interface that could...scale. This study assisted NOSC in developing a voice-recogni- tion, man- machine interface that could be used with TONE and upgraded at a later date

Observable phenomena that reveal medical students' clinical reasoning ability during expert assessment of their history taking: a qualitative study.

PubMed

Haring, Catharina M; Cools, Bernadette M; van Gurp, Petra J M; van der Meer, Jos W M; Postma, Cornelis T

2017-08-29

During their clerkships, medical students are meant to expand their clinical reasoning skills during their patient encounters. Observation of these encounters could reveal important information on the students' clinical reasoning abilities, especially during history taking. A grounded theory approach was used to analyze what expert physicians apply as indicators in their assessment of medical students' diagnostic reasoning abilities during history taking. Twelve randomly selected clinical encounter recordings of students at the end of the internal medicine clerkships were observed by six expert assessors, who were prompted to formulate their assessment criteria in a think-aloud procedure. These formulations were then analyzed to identify the common denominators and leading principles. The main indicators of clinical reasoning ability were abstracted from students' observable acts during history taking in the encounter. These were: taking control, recognizing and responding to relevant information, specifying symptoms, asking specific questions that point to pathophysiological thinking, placing questions in a logical order, checking agreement with patients, summarizing and body language. In addition, patients' acts and the course, result and efficiency of the conversation were identified as indicators of clinical reasoning, whereas context, using self as a reference, and emotion/feelings were identified by the clinicians as variables in their assessment of clinical reasoning. In observing and assessing clinical reasoning during history taking by medical students, general and specific phenomena to be used as indicators for this process could be identified. These phenomena can be traced back to theories on the development and the process of clinical reasoning.

Using the ICF to clarify team roles and demonstrate clinical reasoning in stroke rehabilitation.

PubMed

Tempest, Stephanie; McIntyre, Anne

2006-05-30

The International Classification of Functioning, Disability and Health (ICF) is advocated as a tool to structure rehabilitation and a universal language to aid communication, within the multi-disciplinary team (MDT). The ICF may also facilitate clarification of team roles and clinical reasoning for intervention. This article aims to explore both factors in stroke rehabilitation. Following a review of the literature, a summary was presented and discussed with clinicians working within stroke rehabilitation, to gather expert opinions. The discussions were informal, being part of service development and on-going education. The clinicians summarised key themes for the potential use of the ICF within clinical practice. Two key themes emerged from the literature and expert opinion for the potential use of the ICF in stroke rehabilitation: (i) to aid communication and structure service provision, (ii) to clarify team roles and aid clinical reasoning. Expert opinion was that clarification of team roles needs to occur at a local level due to the skill mix, particular interests, setting and staffing levels within individual teams. The ICF has the potential to demonstrate/facilitate clinical reasoning, especially when different MDT members are working on the same intervention. There is potential for the ICF to be used to clarify team roles and demonstrate clinical reasoning within stroke rehabilitation. Further experiential research is required to substantiate this view.

A system dynamics evaluation model: implementation of health information exchange for public health reporting

PubMed Central

Merrill, Jacqueline A; Deegan, Michael; Wilson, Rosalind V; Kaushal, Rainu; Fredericks, Kimberly

2013-01-01

Objective To evaluate the complex dynamics involved in implementing electronic health information exchange (HIE) for public health reporting at a state health department, and to identify policy implications to inform similar implementations. Materials and methods Qualitative data were collected over 8 months from seven experts at New York State Department of Health who implemented web services and protocols for querying, receipt, and validation of electronic data supplied by regional health information organizations. Extensive project documentation was also collected. During group meetings experts described the implementation process and created reference modes and causal diagrams that the evaluation team used to build a preliminary model. System dynamics modeling techniques were applied iteratively to build causal loop diagrams representing the implementation. The diagrams were validated iteratively by individual experts followed by group review online, and through confirmatory review of documents and artifacts. Results Three casual loop diagrams captured well-recognized system dynamics: Sliding Goals, Project Rework, and Maturity of Resources. The findings were associated with specific policies that address funding, leadership, ensuring expertise, planning for rework, communication, and timeline management. Discussion This evaluation illustrates the value of a qualitative approach to system dynamics modeling. As a tool for strategic thinking on complicated and intense processes, qualitative models can be produced with fewer resources than a full simulation, yet still provide insights that are timely and relevant. Conclusions System dynamics techniques clarified endogenous and exogenous factors at play in a highly complex technology implementation, which may inform other states engaged in implementing HIE supported by federal Health Information Technology for Economic and Clinical Health (HITECH) legislation. PMID:23292910

A system dynamics evaluation model: implementation of health information exchange for public health reporting.

PubMed

Merrill, Jacqueline A; Deegan, Michael; Wilson, Rosalind V; Kaushal, Rainu; Fredericks, Kimberly

2013-06-01

To evaluate the complex dynamics involved in implementing electronic health information exchange (HIE) for public health reporting at a state health department, and to identify policy implications to inform similar implementations. Qualitative data were collected over 8 months from seven experts at New York State Department of Health who implemented web services and protocols for querying, receipt, and validation of electronic data supplied by regional health information organizations. Extensive project documentation was also collected. During group meetings experts described the implementation process and created reference modes and causal diagrams that the evaluation team used to build a preliminary model. System dynamics modeling techniques were applied iteratively to build causal loop diagrams representing the implementation. The diagrams were validated iteratively by individual experts followed by group review online, and through confirmatory review of documents and artifacts. Three casual loop diagrams captured well-recognized system dynamics: Sliding Goals, Project Rework, and Maturity of Resources. The findings were associated with specific policies that address funding, leadership, ensuring expertise, planning for rework, communication, and timeline management. This evaluation illustrates the value of a qualitative approach to system dynamics modeling. As a tool for strategic thinking on complicated and intense processes, qualitative models can be produced with fewer resources than a full simulation, yet still provide insights that are timely and relevant. System dynamics techniques clarified endogenous and exogenous factors at play in a highly complex technology implementation, which may inform other states engaged in implementing HIE supported by federal Health Information Technology for Economic and Clinical Health (HITECH) legislation.

Reference standards, judges, and comparison subjects: roles for experts in evaluating system performance.

PubMed

Hripcsak, George; Wilcox, Adam

2002-01-01

Medical informatics systems are often designed to perform at the level of human experts. Evaluation of the performance of these systems is often constrained by lack of reference standards, either because the appropriate response is not known or because no simple appropriate response exists. Even when performance can be assessed, it is not always clear whether the performance is sufficient or reasonable. These challenges can be addressed if an evaluator enlists the help of clinical domain experts. 1) The experts can carry out the same tasks as the system, and then their responses can be combined to generate a reference standard. 2)The experts can judge the appropriateness of system output directly. 3) The experts can serve as comparison subjects with which the system can be compared. These are separate roles that have different implications for study design, metrics, and issues of reliability and validity. Diagrams help delineate the roles of experts in complex study designs.

Reference Standards, Judges, and Comparison Subjects

PubMed Central

Hripcsak, George; Wilcox, Adam

2002-01-01

Medical informatics systems are often designed to perform at the level of human experts. Evaluation of the performance of these systems is often constrained by lack of reference standards, either because the appropriate response is not known or because no simple appropriate response exists. Even when performance can be assessed, it is not always clear whether the performance is sufficient or reasonable. These challenges can be addressed if an evaluator enlists the help of clinical domain experts. 1) The experts can carry out the same tasks as the system, and then their responses can be combined to generate a reference standard. 2)The experts can judge the appropriateness of system output directly. 3) The experts can serve as comparison subjects with which the system can be compared. These are separate roles that have different implications for study design, metrics, and issues of reliability and validity. Diagrams help delineate the roles of experts in complex study designs. PMID:11751799

Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method

NASA Astrophysics Data System (ADS)

Wang, Bei; Sugi, Takenao; Kawana, Fusae; Wang, Xingyu; Nakamura, Masatoshi

In this study, an expert knowledge-based automatic sleep stage determination system working on a multi-valued decision making method is developed. Visual inspection by a qualified clinician is adopted to obtain the expert knowledge database. The expert knowledge database consists of probability density functions of parameters for various sleep stages. Sleep stages are determined automatically according to the conditional probability. Totally, four subjects were participated. The automatic sleep stage determination results showed close agreements with the visual inspection on sleep stages of awake, REM (rapid eye movement), light sleep and deep sleep. The constructed expert knowledge database reflects the distributions of characteristic parameters which can be adaptive to variable sleep data in hospitals. The developed automatic determination technique based on expert knowledge of visual inspection can be an assistant tool enabling further inspection of sleep disorder cases for clinical practice.

Development of an Android Application in the Form of a Simulation Lab as Learning Media for Senior High School Students

ERIC Educational Resources Information Center

Astra, I Made; Nasbey, Hadi; Nugraha, Aditiya

2015-01-01

The aim of this research is to create learning media for senior high school students through an android application in the form of a simulation lab. The method employed in the study is research and development. A simulation lab which has been made subsequently validated by concept and media experts, further empirical testing by teachers and…

A rule-based expert system applied to moisture durability of building envelopes

DOE PAGES

Boudreaux, Philip R.; Pallin, Simon B.; Accawi, Gina K.; ...

2018-01-09

The moisture durability of an envelope component such as a wall or roof is difficult to predict. Moisture durability depends on all the construction materials used, as well as the climate, orientation, air tightness, and indoor conditions. Modern building codes require more insulation and tighter construction but provide little guidance about how to ensure these energy-efficient assemblies remain moisture durable. Furthermore, as new products and materials are introduced, builders are increasingly uncertain about the long-term durability of their building envelope designs. Oak Ridge National Laboratory and the US Department of Energy’s Building America Program are applying a rule-based expert systemmore » methodology in a web tool to help designers determine whether a given wall design is likely to be moisture durable and provide expert guidance on moisture risk management specific to a wall design and climate. Finally, the expert system is populated with knowledge from both expert judgment and probabilistic hygrothermal simulation results.« less

GTEX: An expert system for diagnosing faults in satellite ground stations

NASA Technical Reports Server (NTRS)

Schlegelmilch, Richard F.; Durkin, John; Petrik, Edward J.

1991-01-01

A proof of concept expert system called Ground Terminal Expert (GTEX) was developed at The University of Akron in collaboration with NASA Lewis Research Center. The objective of GTEX is to aid in diagnosing data faults occurring with a digital ground terminal. This strategy can also be applied to the Very Small Aperture Terminal (VSAT) technology. An expert system which detects and diagnoses faults would enhance the performance of the VSAT by improving reliability and reducing maintenance time. GTEX is capable of detecting faults, isolating the cause and recommending appropriate actions. Isolation of faults is completed to board-level modules. A graphical user interface provides control and a medium where data can be requested and cryptic information logically displayed. Interaction with GTEX consists of user responses and input from data files. The use of data files provides a method of simulating dynamic interaction between the digital ground terminal and the expert system. GTEX as described is capable of both improving reliability and reducing the time required for necessary maintenance.

GTEX: An expert system for diagnosing faults in satellite ground stations

NASA Astrophysics Data System (ADS)

Schlegelmilch, Richard F.; Durkin, John; Petrik, Edward J.

1991-11-01

A proof of concept expert system called Ground Terminal Expert (GTEX) was developed at The University of Akron in collaboration with NASA Lewis Research Center. The objective of GTEX is to aid in diagnosing data faults occurring with a digital ground terminal. This strategy can also be applied to the Very Small Aperture Terminal (VSAT) technology. An expert system which detects and diagnoses faults would enhance the performance of the VSAT by improving reliability and reducing maintenance time. GTEX is capable of detecting faults, isolating the cause and recommending appropriate actions. Isolation of faults is completed to board-level modules. A graphical user interface provides control and a medium where data can be requested and cryptic information logically displayed. Interaction with GTEX consists of user responses and input from data files. The use of data files provides a method of simulating dynamic interaction between the digital ground terminal and the expert system. GTEX as described is capable of both improving reliability and reducing the time required for necessary maintenance.

A rule-based expert system applied to moisture durability of building envelopes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Boudreaux, Philip R.; Pallin, Simon B.; Accawi, Gina K.

The moisture durability of an envelope component such as a wall or roof is difficult to predict. Moisture durability depends on all the construction materials used, as well as the climate, orientation, air tightness, and indoor conditions. Modern building codes require more insulation and tighter construction but provide little guidance about how to ensure these energy-efficient assemblies remain moisture durable. Furthermore, as new products and materials are introduced, builders are increasingly uncertain about the long-term durability of their building envelope designs. Oak Ridge National Laboratory and the US Department of Energy’s Building America Program are applying a rule-based expert systemmore » methodology in a web tool to help designers determine whether a given wall design is likely to be moisture durable and provide expert guidance on moisture risk management specific to a wall design and climate. Finally, the expert system is populated with knowledge from both expert judgment and probabilistic hygrothermal simulation results.« less

Getting Inside the Expert's Head: An Analysis of Physician Cognitive Processes During Trauma Resuscitations.

PubMed

White, Matthew R; Braund, Heather; Howes, Daniel; Egan, Rylan; Gegenfurtner, Andreas; van Merrienboer, Jeroen J G; Szulewski, Adam

2018-04-23

Crisis resource management skills are integral to leading the resuscitation of a critically ill patient. Despite their importance, crisis resource management skills (and their associated cognitive processes) have traditionally been difficult to study in the real world. The objective of this study was to derive key cognitive processes underpinning expert performance in resuscitation medicine, using a new eye-tracking-based video capture method during clinical cases. During an 18-month period, a sample of 10 trauma resuscitations led by 4 expert trauma team leaders was analyzed. The physician team leaders were outfitted with mobile eye-tracking glasses for each case. After each resuscitation, participants were debriefed with a modified cognitive task analysis, based on a cued-recall protocol, augmented by viewing their own first-person perspective eye-tracking video from the clinical encounter. Eye-tracking technology was successfully applied as a tool to aid in the qualitative analysis of expert performance in a clinical setting. All participants stated that using these methods helped uncover previously unconscious aspects of their cognition. Overall, 5 major themes were derived from the interviews: logistic awareness, managing uncertainty, visual fixation behaviors, selective attendance to information, and anticipatory behaviors. The novel approach of cognitive task analysis augmented by eye tracking allowed the derivation of 5 unique cognitive processes underpinning expert performance in leading a resuscitation. An understanding of these cognitive processes has the potential to enhance educational methods and to create new assessment modalities of these previously tacit aspects of expertise in this field. Copyright © 2018 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Automated encoding of clinical documents based on natural language processing.

PubMed

Friedman, Carol; Shagina, Lyudmila; Lussier, Yves; Hripcsak, George

2004-01-01

The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method. An existing NLP system, MedLEE, was adapted to automatically generate codes. The method involves matching of structured output generated by MedLEE consisting of findings and modifiers to obtain the most specific code. Recall and precision applied to Unified Medical Language System (UMLS) coding were evaluated in two separate studies. Recall was measured using a test set of 150 randomly selected sentences, which were processed using MedLEE. Results were compared with a reference standard determined manually by seven experts. Precision was measured using a second test set of 150 randomly selected sentences from which UMLS codes were automatically generated by the method and then validated by experts. Recall of the system for UMLS coding of all terms was .77 (95% CI.72-.81), and for coding terms that had corresponding UMLS codes recall was .83 (.79-.87). Recall of the system for extracting all terms was .84 (.81-.88). Recall of the experts ranged from .69 to .91 for extracting terms. The precision of the system was .89 (.87-.91), and precision of the experts ranged from .61 to .91. Extraction of relevant clinical information and UMLS coding were accomplished using a method based on NLP. The method appeared to be comparable to or better than six experts. The advantage of the method is that it maps text to codes along with other related information, rendering the coded output suitable for effective retrieval.

Barriers to the implementation and uptake of simulation-based training programs in general surgery: a multinational qualitative study.

PubMed

Hosny, Shady G; Johnston, Maximilian J; Pucher, Philip H; Erridge, Simon; Darzi, Ara

2017-12-01

Despite evidence demonstrating the advantages of simulation training in general surgery, it is not widely integrated into surgical training programs worldwide. The aim of this study was to identify barriers and facilitators to the implementation and uptake of surgical simulation training programs. A multinational qualitative study was conducted using semi-structured interviews of general surgical residents and experts. Each interview was audio recorded, transcribed verbatim, and underwent emergent theme analysis. All data were anonymized and results pooled. A total of 37 individuals participated in the study. Seventeen experts (Program Directors and Surgical Attendings with an interest in surgical education) and 20 residents drawn from the United States, Canada, United Kingdom, France, and Japan were interviewed. Barriers to simulation-based training were identified based on key themes including financial cost, access, and translational benefit. Participants described cost (89%) and access (76%) as principal barriers to uptake. Common facilitators included a mandatory requirement to complete simulation training (78%) and on-going assessment of skills (78%). Participants felt that simulation training could improve patient outcomes (76%) but identified a lack of evidence to demonstrate benefit (38%). There was a consensus that simulation training has not been widely implemented (70%). There are multiple barriers to the implementation of surgical simulation training programs, however, there is agreement that these programs could potentially improve patient outcomes. Identifying these barriers enable the targeted use of facilitators to deliver simulation training programs. Copyright © 2017 Elsevier Inc. All rights reserved.

[First SIBEN clinical consensus: diagnostic and therapeutic approach to patent ductus arteriosus in premature newborns].

PubMed

Golombek, S G; Sola, A; Baquero, H; Borbonet, D; Cabañas, F; Fajardo, C; Goldsmit, G; Lemus, L; Miura, E; Pellicer, A; Pérez, J M; Rogido, M; Zambosco, G; van Overmeire, B

2008-11-01

To report the process and results of the first neonatal clinical consensus of the Ibero-American region. Two recognized experts in the field (Clyman and Van Overmeire) and 45 neonatologists from 23 countries were invited for active participation and collaboration. We developed 46 questions of clinical-physiological relevance in all aspects of patent ductus arteriosus (PDA). Guidelines for consensus process, literature search and future preparation of educational material and authorship were developed, reviewed and agreed by all. Participants from different countries were distributed in groups, and assigned to interact and work together to answer 3-5 questions, reviewing all global literature and local factors. Answers and summaries were received, collated and reviewed by 2 coordinators and the 2 experts. Participants and experts met in Granada, Spain for 4.5 h (lectures by experts, presentations by groups, discussion, all literature available). 31 neonatologists from 16 countries agreed to participate. Presentations by each group and general discussion were used to develop a consensus regarding: general management, availability of drugs (indomethacin vs. ibuprofen), costs, indications for echo/surgery, etc. Many steps were learnt by all present in a collaborative forum. This first consensus group of Ibero-American neonatologists SIBEN led to active and collaborative participation of neonatologists of 16 countries, improved education of all participants and ended with consensus development on clinical approaches to PDA. Furthermore, it provides recommendations for clinical care reached by consensus. Additionally, it will serve as a useful foundation for future SIBEN Consensus on other topics and it could become valuable as a model to decrease disparity in care and improve outcomes in this and other regions.

Dementia: treating patients and caregivers with complementary and alternative medicine--results of a clinical expert conference using the World Café method.

PubMed

Teut, Michael; Bloedt, Susanne; Baur, Roland; Betsch, Frederik; Elies, Michael; Fruehwald, Maria; Fuesgen, Ingo; Kerckhoff, Annette; Krüger, Eckard; Schimpf, Dorothee; Schnabel, Katharina; Walach, Harald; Warme, Britta; Warning, Albercht; Wilkens, Johannes; Witt, Claudia M

2013-01-01

In Germany the number of inhabitants with dementia is expected to increase from 1.2 million at present to 2.3 million in 2050. Our aim was to investigate which treatments complementary and alternative medicine (CAM) experts consider to be of therapeutic use in developing treatment strategies and hypotheses for further clinical studies. In a participatory group workshop the 'World Café' method was used. As questions we asked: 1) 'Based on your clinical experience, which CAM therapies are effective in the treatment of patients with dementia? 2) Based on your clinical experience, which CAM therapies are effective in the treatment of lay and professional caregivers of patients with dementia?, and 3) How should a CAM treatment program look like?' Further Delphi rounds were used to reach consensus and summarize the results. The 2-day workshop took place in January 2012 in Berlin. A total of 17 experts participated. The most important subject in the treatment was the need to understand patients' biographies in order to individualize the therapy. Therapy itself consists of the therapeutic relationship, nonmedical therapies such as sports, massage, music and arts therapy as well as medical treatment such as herbal or homeopathic medicines. With regard to caregivers the most important aim is to prevent or reduce psychological distress, e.g., by mind-body programs. Instead of single treatments, more general elements such as understanding the patients' biographies, therapeutic relationships, individualizing, networking, and self-care emerged as main results. An integrative treatment program should connect outpatient and inpatient care as well as all experts. CAM training courses should be offered to doctors, nurses, and caregivers. Future clinical studies should focus on complex intervention programs integrating these key elements. © 2013 S. Karger GmbH, Freiburg.

What is safety?: Miracles, benefit-risk assessments, and the "right to try".

PubMed

DeTora, Lisa M

2017-07-01

Public discourse is full of quick solutions to health care problems like cancer and rare diseases. Among these is Right to Try legislation for experimental therapies. Right to Try legislation is based on the premise that all experimental agents in clinical trials are safe and guaranteed to produce miracles. Unfortunately, this notion is at odds with expert understanding, which indicates that the benefits and risks of drug products can only be understood together and evaluated incrementally and over time. The current manuscript examines why benefit to risk considerations, a lynchpin of the ethical conduct of clinical research since the Nuremberg Code, might be easily elided from public discourse. This paper considers guidelines for regulatory writing, which routinely separate discussions of effectiveness and safety, as a possible source for some confusion. The internationally-accepted ICH M4E (Common Technical Document) guideline published in 2016 now provides additional guidance for composing Benefits and Risks Conclusions, which weigh and consider effectiveness and safety together. Yet fundamental differences in understanding the "safety" of medicinal products continue to exist between experts in biomedicine, politicians, and healthcare activists. Examining differences in the understanding of "safety" between experts and non-experts also may help explain the source for flawed logic about the safety of investigational products in Right To Try narratives. No drug product is 100% safe. Continuing to weigh benefits and risks together is an important intellectual practice necessary to safeguard human health worldwide, and testing clinical safety is the only way to provide meaningful protections to patients. Science, not miracles, can ensure the protection of patients in clinical research as well as clinical practice. Weighing benefits and risks is an essential intellectual act that informs public health. Science, not miracles, can guide this work. © 2017 John Wiley & Sons Ltd.

Image guided adaptive external beam radiation therapy for cervix cancer: Evaluation of a clinically implemented plan-of-the-day technique.

PubMed

Buschmann, Martin; Majercakova, Katarina; Sturdza, Alina; Smet, Stephanie; Najjari, Dina; Daniel, Michaela; Pötter, Richard; Georg, Dietmar; Seppenwoolde, Yvette

2017-10-12

Radiotherapy for cervix cancer is challenging in patients exhibiting large daily changes in the pelvic anatomy, therefore adaptive treatments (ART) have been proposed. The aim of this study was the clinical implementation and subsequent evaluation of plan-of-the-day (POTD)-ART for cervix cancer in supine positioning. The described workflow was based on standard commercial equipment and current quality assurance (QA) methods. A POTD strategy, which employs a VMAT plan library consisting of an empty bladder plan, a full bladder plan and a motion robust backup plan, was developed. Daily adaption was guided by cone beam computed tomography (CBCT) imaging after which the best plan from the library was selected. Sixteen patients were recruited in a clinical study on ART, for nine POTD was applied due to their large organ motion derived from two computed tomography (CT) scans with variable bladder filling. All patients were treated to 45Gy in 25 fractions. Plan selection frequencies over the treatment course were analyzed. Daily doses in the rectum, bladder and cervix-uterus target (CTV-T) were derived and compared to a simulated non-adapted treatment (non-ART), which employed the robust plan for each fraction. Additionally, the adaption consistency was determined by repeating the plan selection procedure one month after treatment by a group of experts. ART-specific QA methods are presented. 225 ART fractions with CBCTs were analyzed. The empty bladder plan was delivered in 49% of the fractions in the first treatment week and this number increased to 78% in the fifth week. The daily coverage of the CTV-T was equivalent between ART and the non-ART simulation, while the daily total irradiated volume V42.75Gy (95% of prescription dose) was reduced by a median of 87cm 3 . The median delivered V42.75Gy was 1782cm 3 . Daily delivered doses (V42.75Gy, V40Gy, V30G) to the organs at risk were statistically significantly reduced by ART, with a median difference in daily V42.75Gy in rectum and bladder of 3.2% and 1.1%, respectively. The daily bladder V42.75Gy and V40Gy were decreased by more than 10 percent points in 30% and 24% of all fractions, respectively, through ART. The agreement between delivered plans and retrospective expert-group plan selections was 84%. A POTD-ART technique for cervix cancer was successfully and safely implemented in the clinic and evaluated. Improved normal tissue sparing compared to a simulated non-ART treatment could be demonstrated. Future developments should focus on commercial automated software solutions to allow for a more widespread adoption and to keep the increased workload manageable. Copyright © 2017. Published by Elsevier GmbH.