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Sample records for advanced clinical decision

  1. Personalizing Drug Selection Using Advanced Clinical Decision Support

    PubMed Central

    Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A.; Glauser, Tracy

    2009-01-01

    This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting. PMID:19898682

  2. Personalizing Drug Selection Using Advanced Clinical Decision Support.

    PubMed

    Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A; Glauser, Tracy

    2009-06-23

    This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States' leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting.

  3. Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review

    PubMed Central

    2012-01-01

    Background Greater use of computerized decision support (DS) systems could address continuing safety and quality problems in healthcare, but the healthcare field has struggled to implement DS technology. This study surveys DS experience across multiple non-healthcare disciplines for new insights that are generalizable to healthcare provider decisions. In particular, it sought design principles and lessons learned from the other disciplines that could inform efforts to accelerate the adoption of clinical decision support (CDS). Methods Our systematic review drew broadly from non-healthcare databases in the basic sciences, social sciences, humanities, engineering, business, and defense: PsychINFO, BusinessSource Premier, Social Sciences Abstracts, Web of Science, and Defense Technical Information Center. Because our interest was in DS that could apply to clinical decisions, we selected articles that (1) provided a review, overview, discussion of lessons learned, or an evaluation of design or implementation aspects of DS within a non-healthcare discipline and (2) involved an element of human judgment at the individual level, as opposed to decisions that can be fully automated or that are made at the organizational level. Results Clinical decisions share some similarities with decisions made by military commanders, business managers, and other leaders: they involve assessing new situations and choosing courses of action with major consequences, under time pressure, and with incomplete information. We identified seven high-level DS system design features from the non-healthcare literature that could be applied to CDS: providing broad, system-level perspectives; customizing interfaces to specific users and roles; making the DS reasoning transparent; presenting data effectively; generating multiple scenarios covering disparate outcomes (e.g., effective; effective with side effects; ineffective); allowing for contingent adaptations; and facilitating collaboration. The

  4. Clinical decision support foundations.

    PubMed

    Pradhan, Malcolm; Liaw, Siaw Teng

    2010-01-01

    This chapter gives an educational overview of: * The elements of a clinical decision; * The elements of decision making: prior probability, evidence (likelihood), posterior probability, actions, utility (value); * A framework for decision making, and support, encompassing validity, utility, importance and certainty; and * The required elements of a clinical decision support system. * The role of knowledge management in the construction and maintenance of clinical decision support.

  5. [Adequacy of clinical interventions in patients with advanced and complex disease. Proposal of a decision making algorithm].

    PubMed

    Ameneiros-Lago, E; Carballada-Rico, C; Garrido-Sanjuán, J A; García Martínez, A

    2015-01-01

    Decision making in the patient with chronic advanced disease is especially complex. Health professionals are obliged to prevent avoidable suffering and not to add any more damage to that of the disease itself. The adequacy of the clinical interventions consists of only offering those diagnostic and therapeutic procedures appropriate to the clinical situation of the patient and to perform only those allowed by the patient or representative. In this article, the use of an algorithm is proposed that should serve to help health professionals in this decision making process.

  6. Advances In Infection Surveillance and Clinical Decision Support With Fuzzy Sets and Fuzzy Logic.

    PubMed

    Koller, Walter; de Bruin, Jeroen S; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

    2015-01-01

    By the use of extended intelligent information technology tools for fully automated healthcare-associated infection (HAI) surveillance, clinicians can be informed and alerted about the emergence of infection-related conditions in their patients. Moni--a system for monitoring nosocomial infections in intensive care units for adult and neonatal patients--employs knowledge bases that were written with extensive use of fuzzy sets and fuzzy logic, allowing the inherent un-sharpness of clinical terms and the inherent uncertainty of clinical conclusions to be a part of Moni's output. Thus, linguistic as well as propositional uncertainty became a part of Moni, which can now report retrospectively on HAIs according to traditional crisp HAI surveillance definitions, as well as support clinical bedside work by more complex crisp and fuzzy alerts and reminders. This improved approach can bridge the gap between classical retrospective surveillance of HAIs and ongoing prospective clinical-decision-oriented HAI support.

  7. The clinical decision analysis using decision tree.

    PubMed

    Bae, Jong-Myon

    2014-01-01

    The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients' value.

  8. The clinical decision analysis using decision tree

    PubMed Central

    Bae, Jong-Myon

    2014-01-01

    The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients’ value. PMID:25358466

  9. Creating clinical decision support systems for respiratory medicine.

    PubMed

    Tams, Carl G; Euliano, Neil R

    2015-01-01

    Clinical decision support systems are vital for advances in improving patient therapeutic care. We share lessons learned from creating two respiratory clinical decisions support systems for ventilating patients in a critical care setting.

  10. Clinical Impact of Education Provision on Determining Advance Care Planning Decisions among End Stage Renal Disease Patients Receiving Regular Hemodialysis in University Malaya Medical Centre

    PubMed Central

    Hing (Wong), Albert; Chin, Loh Ee; Ping, Tan Li; Peng, Ng Kok; Kun, Lim Soo

    2016-01-01

    Introduction: Advance care planning (ACP) is a process of shared decision-making about future health-care plans between patients, health care providers, and family members, should patients becomes incapable of participating in medical treatment decisions. ACP discussions enhance patient's autonomy, focus on patient's values and treatment preferences, and promote patient-centered care. ACP is integrated as part of clinical practice in Singapore and the United States. Aim: To assess the clinical impact of education provision on determining ACP decisions among end-stage renal disease patients on regular hemodialysis at University Malaya Medical Centre (UMMC). To study the knowledge and attitude of patients toward ACP and end-of-life issues. Materials and Methods: Fifty-six patients were recruited from UMMC. About 43 questions pretest survey adapted from Lyon's ACP survey and Moss's cardiopulmonary resuscitation (CPR) attitude survey was given to patients to answer. An educational brochure is then introduced to these patients, and a posttest survey carried out after that. The results were analyzed using SPSS version 22.0. Results: Opinion on ACP, including CPR decisions, showed an upward trend on the importance percentage after the educational brochure exposure, but this was statistically not significant. Seventy-five percent of participants had never heard of ACP before, and only 3.6% had actually prepared a written advanced directive. Conclusion: The ACP educational brochure clinically impacts patients’ preferences and decisions toward end-of-life care; however, this is statistically not significant. Majority of patients have poor knowledge on ACP. This study lays the foundation for execution of future larger scale clinical trials, and ultimately, the incorporation of ACP into clinical practice in Malaysia. PMID:27803566

  11. How clinical decisions are made.

    PubMed

    Bate, Louise; Hutchinson, Andrew; Underhill, Jonathan; Maskrey, Neal

    2012-10-01

    There is much variation in the implementation of the best available evidence into clinical practice. These gaps between evidence and practice are often a result of multiple individual decisions. When making a decision, there is so much potentially relevant information available, it is impossible to know or process it all (so called 'bounded rationality'). Usually, a limited amount of information is selected to reach a sufficiently satisfactory decision, a process known as satisficing. There are two key processes used in decision making: System 1 and System 2. System 1 involves fast, intuitive decisions; System 2 is a deliberate analytical approach, used to locate information which is not instantly recalled. Human beings unconsciously use System 1 processing whenever possible because it is quicker and requires less effort than System 2. In clinical practice, gaps between evidence and practice can occur when a clinician develops a pattern of knowledge, which is then relied on for decisions using System 1 processing, without the activation of a System 2 check against the best available evidence from high quality research. The processing of information and decision making may be influenced by a number of cognitive biases, of which the decision maker may be unaware. Interventions to encourage appropriate use of System 1 and System 2 processing have been shown to improve clinical decision making. Increased understanding of decision making processes and common sources of error should help clinical decision makers to minimize avoidable mistakes and increase the proportion of decisions that are better.

  12. Clinical Decision Support and Palivizumab

    PubMed Central

    Hogan, A.; Michel, J.; Localio, A.R.; Karavite, D.; Song, L.; Ramos, M.J.; Fiks, A.G.; Lorch, S.; Grundmeier, R.W.

    2015-01-01

    Background and Objectives Palivizumab can reduce hospitalizations due to respiratory syncytial virus (RSV), but many eligible infants fail to receive the full 5-dose series. The efficacy of clinical decision support (CDS) in fostering palivizumab receipt has not been studied. We sought a comprehensive solution for identifying eligible patients and addressing barriers to palivizumab administration. Methods We developed workflow and CDS tools targeting patient identification and palivizumab administration. We randomized 10 practices to receive palivizumab-focused CDS and 10 to receive comprehensive CDS for premature infants in a 3-year longitudinal cluster-randomized trial with 2 baseline and 1 intervention RSV seasons. Results There were 356 children eligible to receive palivizumab, with 194 in the palivizumab-focused group and 162 in the comprehensive CDS group. The proportion of doses administered to children in the palivizumab-focused intervention group increased from 68.4% and 65.5% in the two baseline seasons to 84.7% in the intervention season. In the comprehensive intervention group, proportions of doses administered declined during the baseline seasons (from 71.9% to 62.4%) with partial recovery to 67.9% during the intervention season. The palivizumab-focused group improved by 19.2 percentage points in the intervention season compared to the prior baseline season (p < 0.001), while the comprehensive intervention group only improved 5.5 percentage points (p = 0.288). The difference in change between study groups was significant (p = 0.05). Conclusions Workflow and CDS tools integrated in an EHR may increase the administration of palivizumab. The support focused on palivizumab, rather than comprehensive intervention, was more effective at improving palivizumab administration. PMID:26767069

  13. ClinicalAccess: a clinical decision support tool.

    PubMed

    Crowell, Karen; Vardell, Emily

    2015-01-01

    ClinicalAccess is a new clinical decision support tool that uses a question-and-answer format to mirror clinical decision-making strategies. The unique format of ClinicalAccess delivers concise, authoritative answers to more than 120,000 clinical questions. This column presents a review of the product, a sample search, and a comparison with other point-of-care search engines.

  14. Clinical Decision Making of Rural Novice Nurses

    ERIC Educational Resources Information Center

    Seright, Teresa J.

    2010-01-01

    The purpose of this study was to develop substantive theory regarding decision making by the novice nurse in a rural hospital setting. Interviews were guided by the following research questions: What cues were used by novice rural registered nurses in order to make clinical decisions? What were the sources of feedback which influenced subsequent…

  15. A shotgun wedding: business decision support meets clinical decision support.

    PubMed

    Oliveira, Jason

    2002-01-01

    By effectively closing the loop between the data, analytics, processes, and methods supporting business and clinical decision making, a healthcare organization closes the loop between its knowledge generation activities and its actions at the bedside: knowledge guiding actions, actions generating knowledge.

  16. What can Natural Language Processing do for Clinical Decision Support?

    PubMed Central

    Demner-Fushman, Dina; Chapman, Wendy W.; McDonald, Clement J.

    2009-01-01

    Computerized Clinical Decision Support (CDS) aims to aid decision making of health care providers and the public by providing easily accessible health-related information at the point and time it is needed. Natural Language Processing (NLP) is instrumental in using free-text information to drive CDS, representing clinical knowledge and CDS interventions in standardized formats, and leveraging clinical narrative. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP. This review primarily focuses on the recently renewed interest in development of fundamental NLP methods and advances in the NLP systems for CDS. The current solutions to challenges posed by distinct sublanguages, intended user groups, and support goals are discussed. PMID:19683066

  17. Clinical decision analysis using microcomputers. A case of coexistent hepatocellular carcinoma and abdominal aortic aneurysm.

    PubMed

    Wong, J B; Moskowitz, A J; Pauker, S G

    1986-12-01

    Many difficult medical decisions involve uncertainty. Decision analysis-an explicit, normative and analytic approach to making decisions under uncertainty-provides a probabilistic framework for exploring difficult problems in nondeterministic domains. As the methodology has advanced, clinical decision analysis has been applied to increasingly complex medical problems and disseminated widely in the medical literature. Unfortunately, this approach imposes a heavy computational burden on analysts. Microcomputer-based decision-support software can ease this burden.

  18. LIMSI @ 2014 Clinical Decision Support Track

    DTIC Science & Technology

    2014-11-01

    Clinical Decision Support 1 Introduction The goal of the Clinical Decision Support Track is to retrieve relevant biomedical articles given a patient record...queries: • Diagnosis: "diagnosis"[MeSH Terms] OR "diagnosis, oral"[MeSH Terms] OR "diagnostic equipment "[MeSH Terms] OR "diagnostic services"[MeSH Terms...particular biomedical domain or search strategy) that were created as part of the CISMeF project[2]3. The Test query was manually created for 3These and

  19. Entrustment Decision Making in Clinical Training.

    PubMed

    Ten Cate, Olle; Hart, Danielle; Ankel, Felix; Busari, Jamiu; Englander, Robert; Glasgow, Nicholas; Holmboe, Eric; Iobst, William; Lovell, Elise; Snell, Linda S; Touchie, Claire; Van Melle, Elaine; Wycliffe-Jones, Keith

    2016-02-01

    The decision to trust a medical trainee with the critical responsibility to care for a patient is fundamental to clinical training. When carefully and deliberately made, such decisions can serve as significant stimuli for learning and also shape the assessment of trainees. Holding back entrustment decisions too much may hamper the trainee's development toward unsupervised practice. When carelessly made, however, they jeopardize patient safety. Entrustment decision-making processes, therefore, deserve careful analysis.Members (including the authors) of the International Competency-Based Medical Education Collaborative conducted a content analysis of the entrustment decision-making process in health care training during a two-day summit in September 2013 and subsequently reviewed the pertinent literature to arrive at a description of the critical features of this process, which informs this article.The authors discuss theoretical backgrounds and terminology of trust and entrustment in the clinical workplace. The competency-based movement and the introduction of entrustable professional activities force educators to rethink the grounds for assessment in the workplace. Anticipating a decision to grant autonomy at a designated level of supervision appears to align better with health care practice than do most current assessment practices. The authors distinguish different modes of trust and entrustment decisions and elaborate five categories, each with related factors, that determine when decisions to trust trainees are made: the trainee, supervisor, situation, task, and the relationship between trainee and supervisor. The authors' aim in this article is to lay a theoretical foundation for a new approach to workplace training and assessment.

  20. Strategies for Teaching Clinical Decision-Making.

    ERIC Educational Resources Information Center

    Boney, Jo; Baker, Jacqueline D.

    1997-01-01

    Research and a literature review suggest that nurses lack skills for effective clinical decision making. An educational program that facilitated development of critical thinking focused on four qualities: determining accuracy of information, determining bias, identifying inconsistencies in reasoning, and evaluating the strength of an argument. (SK)

  1. Query Reformulation for Clinical Decision Support Search

    DTIC Science & Technology

    2014-11-01

    Query Reformulation for Clinical Decision Support Search Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder Information...work, we present a query reformulation approach that addresses the unique formulation of case reports, making them suitable to be used on a general... reformulation approach does not directly take into account the generic question type (diagnosis, test, treatment) provided with each approach. To ameliorate

  2. The role of emotions in clinical reasoning and decision making.

    PubMed

    Marcum, James A

    2013-10-01

    What role, if any, should emotions play in clinical reasoning and decision making? Traditionally, emotions have been excluded from clinical reasoning and decision making, but with recent advances in cognitive neuropsychology they are now considered an important component of them. Today, cognition is thought to be a set of complex processes relying on multiple types of intelligences. The role of mathematical logic (hypothetico-deductive thinking) or verbal linguistic intelligence in cognition, for example, is well documented and accepted; however, the role of emotional intelligence has received less attention-especially because its nature and function are not well understood. In this paper, I argue for the inclusion of emotions in clinical reasoning and decision making. To that end, developments in contemporary cognitive neuropsychology are initially examined and analyzed, followed by a review of the medical literature discussing the role of emotions in clinical practice. Next, a published clinical case is reconstructed and used to illustrate the recognition and regulation of emotions played during a series of clinical consultations, which resulted in a positive medical outcome. The paper's main thesis is that emotions, particularly in terms of emotional intelligence as a practical form of intelligence, afford clinical practitioners a robust cognitive resource for providing quality medical care.

  3. Computerized Clinical Decision Support: Contributions from 2014

    PubMed Central

    Koutkias, V.

    2015-01-01

    Summary Objective To summarize recent research and propose a selection of best papers published in 2014 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook. Method A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry systems in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was finally organized to conclude on the selection of best papers. Results Among the 1,254 returned papers published in 2014, the full review process selected four best papers. The first one is an experimental contribution to a better understanding of unintended uses of CDSSs. The second paper describes the effective use of previously collected data to tailor and adapt a CDSS. The third paper presents an innovative application that uses pharmacogenomic information to support personalized medicine. The fourth paper reports on the long-term effect of the routine use of a CDSS for antibiotic therapy. Conclusions As health information technologies spread more and more meaningfully, CDSSs are improving to answer users’ needs more accurately. The exploitation of previously collected data and the use of genomic data for decision support has started to materialize. However, more work is still needed to address issues related to the correct usage of such technologies, and to assess their effective impact in the long term. PMID:26293858

  4. Probability, clinical decision making and hypothesis testing

    PubMed Central

    Banerjee, A.; Jadhav, S. L.; Bhawalkar, J. S.

    2009-01-01

    Few clinicians grasp the true concept of probability expressed in the ‘P value.’ For most, a statistically significant P value is the end of the search for truth. In fact, the opposite is the case. The present paper attempts to put the P value in proper perspective by explaining different types of probabilities, their role in clinical decision making, medical research and hypothesis testing. PMID:21234167

  5. Dialogic Consensus In Clinical Decision-Making.

    PubMed

    Walker, Paul; Lovat, Terry

    2016-12-01

    This paper is predicated on the understanding that clinical encounters between clinicians and patients should be seen primarily as inter-relations among persons and, as such, are necessarily moral encounters. It aims to relocate the discussion to be had in challenging medical decision-making situations, including, for example, as the end of life comes into view, onto a more robust moral philosophical footing than is currently commonplace. In our contemporary era, those making moral decisions must be cognizant of the existence of perspectives other than their own, and be attuned to the demands of inter-subjectivity. Applicable to clinical practice, we propose and justify a Habermasian approach as one useful means of achieving what can be described as dialogic consensus. The Habermasian approach builds around, first, his discourse theory of morality as universalizable to all and, second, communicative action as a cooperative search for truth. It is a concrete way to ground the discourse which must be held in complex medical decision-making situations, in its actual reality. Considerations about the theoretical underpinnings of the application of dialogic consensus to clinical practice, and potential difficulties, are explored.

  6. Using the Situated Clinical Decision-Making framework to guide analysis of nurses' clinical decision-making.

    PubMed

    Gillespie, Mary

    2010-11-01

    Nurses' clinical decision-making is a complex process that holds potential to influence the quality of care provided and patient outcomes. The evolution of nurses' decision-making that occurs with experience has been well documented. In addition, literature includes numerous strategies and approaches purported to support development of nurses' clinical decision-making. There has been, however, significantly less attention given to the process of assessing nurses' clinical decision-making and novice clinical educators are often challenged with knowing how to best support nurses and nursing students in developing their clinical decision-making capacity. The Situated Clinical Decision-Making framework is presented for use by clinical educators: it provides a structured approach to analyzing nursing students' and novice nurses' decision-making in clinical nursing practice, assists educators in identifying specific issues within nurses' clinical decision-making, and guides selection of relevant strategies to support development of clinical decision-making. A series of questions is offered as a guide for clinical educators when assessing nurses' clinical decision-making. The discussion presents key considerations related to analysis of various decision-making components, including common sources of challenge and errors that may occur within nurses' clinical decision-making. An exemplar illustrates use of the framework and guiding questions. Implications of this approach for selection of strategies that support development of clinical decision-making are highlighted.

  7. Subjective measures and clinical decision making.

    PubMed

    Delitto, A

    1989-07-01

    I have attempted to use Feinstein's model of clinimetric indexes and his criteria as a focus for further development of measures that in physical therapy are currently considered "soft" or "subjective". I feel this development will enhance the body of knowledge by objectifying a portion of clinical assessment (eg, the patient's complaints, "subjective" portion of the POMR's SOAP format) that is in tremendous need of quantification. By making these "soft" data "hard," I feel we will enhance the decision-making power of clinicians.

  8. Best Practices in Clinical Decision Support

    PubMed Central

    Wright, Adam; Phansalkar, Shobha; Bloomrosen, Meryl; Jenders, Robert A.; Bobb, Anne M.; Halamka, John D.; Kuperman, Gilad; Payne, Thomas H.; Teasdale, S.; Vaida, A. J.; Bates, D. W.

    2010-01-01

    Background Evidence demonstrates that clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety. However, implementing and maintaining effective decision support interventions presents multiple technical and organizational challenges. Purpose To identify best practices for CDS, using the domain of preventive care reminders as an example. Methods We assembled a panel of experts in CDS and held a series of facilitated online and inperson discussions. We analyzed the results of these discussions using a grounded theory method to elicit themes and best practices. Results Eight best practice themes were identified as important: deliver CDS in the most appropriate ways, develop effective governance structures, consider use of incentives, be aware of workflow, keep content current, monitor and evaluate impact, maintain high quality data, and consider sharing content. Keys themes within each of these areas were also described. Conclusion Successful implementation of CDS requires consideration of both technical and socio-technical factors. The themes identified in this study provide guidance on crucial factors that need consideration when CDS is implemented across healthcare settings. These best practice themes may be useful for developers, implementers, and users of decision support. PMID:21991299

  9. Driving and dementia: a clinical decision pathway

    PubMed Central

    Carter, Kirsty; Monaghan, Sophie; O'Brien, John; Teodorczuk, Andrew; Mosimann, Urs; Taylor, John-Paul

    2015-01-01

    Objective This study aimed to develop a pathway to bring together current UK legislation, good clinical practice and appropriate management strategies that could be applied across a range of healthcare settings. Methods The pathway was constructed by a multidisciplinary clinical team based in a busy Memory Assessment Service. A process of successive iteration was used to develop the pathway, with input and refinement provided via survey and small group meetings with individuals from a wide range of regional clinical networks and diverse clinical backgrounds as well as discussion with mobility centres and Forum of Mobility Centres, UK. Results We present a succinct clinical pathway for patients with dementia, which provides a decision-making framework for how health professionals across a range of disciplines deal with patients with dementia who drive. Conclusions By integrating the latest guidance from diverse roles within older people's health services and key experts in the field, the resulting pathway reflects up-to-date policy and encompasses differing perspectives and good practice. It is potentially a generalisable pathway that can be easily adaptable for use internationally, by replacing UK legislation for local regulations. A limitation of this pathway is that it does not address the concern of mild cognitive impairment and how this condition relates to driving safety. © 2014 The Authors. International Journal of Geriatric Psychiatry published by John Wiley & Sons, Ltd. PMID:24865643

  10. Reducing Risk with Clinical Decision Support

    PubMed Central

    Maloney, F.L.; Feblowitz, J.; Samal, L.; Sato, L.; Wright, A.

    2014-01-01

    Summary Objective Identify clinical opportunities to intervene to prevent a malpractice event and determine the proportion of malpractice claims potentially preventable by clinical decision support (CDS). Materials and Methods Cross-sectional review of closed malpractice claims over seven years from one malpractice insurance company and seven hospitals in the Boston area. For each event, clinical opportunities to intervene to avert the malpractice event and the presence or absence of CDS that might have a role in preventing the event, were assigned by a panel of expert raters. Compensation paid out to resolve a claim (indemnity), was associated with each CDS type. Results Of the 477 closed malpractice cases, 359 (75.3%) were categorized as substantiated and 195 (54%) had at least one opportunity to intervene. Common opportunities to intervene related to performance of procedure, diagnosis, and fall prevention. We identified at least one CDS type for 63% of substantiated claims. The 41 CDS types identified included clinically significant test result alerting, diagnostic decision support and electronic tracking of instruments. Cases with at least one associated intervention accounted for $40.3 million (58.9%) of indemnity. Discussion CDS systems and other forms of health information technology (HIT) are expected to improve quality of care, but their potential to mitigate risk had not previously been quantified. Our results suggest that, in addition to their known benefits for quality and safety, CDS systems within HIT have a potential role in decreasing malpractice payments. Conclusion More than half of malpractice events and over $40 million of indemnity were potentially preventable with CDS. PMID:25298814

  11. Clinical Decision Support Systems and Prevention

    PubMed Central

    Njie, Gibril J.; Proia, Krista K.; Thota, Anilkrishna B.; Finnie, Ramona K.C.; Hopkins, David P.; Banks, Starr M.; Callahan, David B.; Pronk, Nicolaas P.; Rask, Kimberly J.; Lackland, Daniel T.; Kottke, Thomas E.

    2016-01-01

    Context Clinical decision support systems (CDSSs) can help clinicians assess cardiovascular disease (CVD) risk and manage CVD risk factors by providing tailored assessments and treatment recommendations based on individual patient data. The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors, practices for CVD-related preventive care services such as clinical tests and prescribed treatments, and management of CVD risk factors. Evidence acquisition An existing systematic review (search period, January 1975–January 2011) of CDSSs for any condition was initially identified. Studies of CDSSs that focused on CVD prevention in that review were combined with studies identified through an updated search (January 2011–October 2012). Data analysis was conducted in 2013. Evidence synthesis A total of 45 studies qualified for inclusion in the review. Improvements were seen for recommended screening and other preventive care services completed by clinicians, recommended clinical tests completed by clinicians, and recommended treatments prescribed by clinicians (median increases of 3.8, 4.0, and 2.0 percentage points, respectively). Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure, total and low-density lipoprotein cholesterol, and hemoglobin A1C levels. Conclusions CDSSs are effective in improving clinician practices related to screening and other preventive care services, clinical tests, and treatments. However, more evidence is needed from implementation of CDSSs within the broad context of comprehensive service delivery aimed at reducing CVD risk and CVD-related morbidity and mortality. PMID:26477805

  12. WaterlooClarke: TREC 2015 Clinical Decision Support Track

    DTIC Science & Technology

    2015-11-20

    WaterlooClarke: TREC 2015 Clinical Decision Support Track Amira Ghenai1, Eldar Khalilov1, Pavel Valov1, and Charles L. A. Clarke1 1Department of...Abstract Clinical decision support systems help physicians with finding additional information about a partic- ular medical case. In this paper, we...develop a clinical decision support system that, based on a short medical case description, can recommend research articles to answer some common

  13. Impact of Advanced Health Care Directives on Treatment Decisions by Physicians in Patients with Acute Stroke

    PubMed Central

    Qureshi, Adnan I; Chaudhry, Saqib A.; Connelly, Bo; Abott, Emily; Janjua, Tariq; Kim, Stanley H.; Miley, Jefferson T.; Rodriguez, Gustavo J.; Uzun, Guven; Watanabe, Masaki

    2012-01-01

    Background The implementation of advance health care directives, prepared by almost half of the adult population in United States remains relatively under studied. We determined the impact of advance health care directives on treatment decisions by multiple physicians in stroke patients. Methods A de-identified summary of clinical and radiological records of 28 patients with stroke was given to six stroke physicians who were not involved in the care of the patients. Each physician independently rated 28 treatment decisions per patient in the presence or absence of advance health care directives 1 month apart to allow memory washout. The percentage agreement to treat/intervene per patient and proportion of treatment withheld as a group were estimated for each of the 28 treatment decision items. We also determined the interobserver reliability between the two raters (attorneys) in interpretation of 6 items characterizing the adequacy of documentation within the 28 advance health care directives. Results The percentage agreement among physician raters for treatment decisions in 28 stroke patients was highest for treatment of hyperpyrexia (100%, 100%) and lowest for intensive care unit monitoring duration based on family-physician considerations outside of accepted criteria within institution (68%, 69%) in presence and absence of advance care health directives. The physician rater agreement in choosing “yes” was highest for “routine complexity” treatment decisions and lowest for “moderate complexity” treatment decisions. The choice of withholding treatment in routine complexity,” “moderate complexity,” or “high complexity” treatment decisions was remarkably similar among raters in presence or absence of advance care health directives. The only treatment decision that showed an impact of advance care health directives was intensive care unit monitoring withheld in 32% of treatment decisions in presence of directives (compared with 8% in the absence

  14. Four Factors of Clinical Decision Making: A Teaching Model.

    ERIC Educational Resources Information Center

    Leist, James C.; Konen, Joseph C.

    1996-01-01

    Four factors of clinical decision making identified by medical students include quality of care, cost, ethics, and legal concerns. This paper argues that physicians have two responsibilities in the clinical decision-making model: to be the primary advocate for quality health care and to ensure balance among the four factors, working in partnership…

  15. 32 CFR Appendix F to Part 282 - Requests for an Advance Decision

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 32 National Defense 2 2011-07-01 2011-07-01 false Requests for an Advance Decision F Appendix F to... DECISION REQUESTS Pt. 282, App. F Appendix F to Part 282—Requests for an Advance Decision (a) Who May... according to appendix A to this part, paragraph (f). (ii) The decision is controlling in the case;...

  16. 32 CFR Appendix F to Part 282 - Requests for an Advance Decision

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 32 National Defense 2 2010-07-01 2010-07-01 false Requests for an Advance Decision F Appendix F to... DECISION REQUESTS Pt. 282, App. F Appendix F to Part 282—Requests for an Advance Decision (a) Who May... according to Appendix A to this part, paragraph (f). (ii) The decision is controlling in the case;...

  17. Clinical decision-making in senior nursing students in Iran.

    PubMed

    Jahanpour, Faezeh; Sharif, Farkhondeh; Salsali, Mahvash; Kaveh, Mohammad H; Williams, Leonie M

    2010-12-01

    Clinical decision-making is the basis for professional nursing practice. This can be taught and learned through appropriate teaching and clinical experiences. Unfortunately, it has been observed that many graduates are unable to demonstrate suitable clinical decision-making skills. Research and study on the process of decision-making and factors influencing it assists educators to find the appropriate educational and clinical strategies to teach nursing students. To explore the experience of nursing students and their view points regarding the factors influencing their development of clinical decision-making skills. An exploratory qualitative approach utilizing grounded theory methods was used; focus group interviews were undertaken with 32 fourth year nursing students and data were analysed using constant comparative analysis. Four main themes emerged from the data: clinical instructor incompetency, low self-efficacy, unconducive clinical learning climate and experiencing stress. The data indicated that students could not make clinical decisions independently. The findings of this study support the need to reform aspects of the curriculum in Iran in order to increase theory-practice integration and prepare a conductive clinical learning climate that enhances learning clinical decision-making with less stress.

  18. Advanced Modeling Reconciles Counterintuitive Decisions in Lead Optimization.

    PubMed

    Fernández, Ariel; Scott, L Ridgway

    2017-01-06

    Lead optimization (LO) is essential to fulfill the efficacy and safety requirements of drug-based targeted therapy. The ease with which water may be locally removed from around the target protein crucially influences LO decisions. However, inferred binding sites often defy intuition and the resulting LO decisions are often counterintuitive, with nonpolar groups in the drug placed next to polar groups in the target. We first introduce biophysical advances to reconcile these apparent mismatches. We incorporate three-body energy terms that account for the net stabilization of preformed target structures upon removal of interfacial water concurrent with drug binding. These unexplored drug-induced environmental changes enhancing the target electrostatics are validated against drug-target affinity data, yielding superior computational accuracy required to improve drug design.

  19. Towards advanced OCT clinical applications

    NASA Astrophysics Data System (ADS)

    Kirillin, Mikhail; Panteleeva, Olga; Agrba, Pavel; Pasukhin, Mikhail; Sergeeva, Ekaterina; Plankina, Elena; Dudenkova, Varvara; Gubarkova, Ekaterina; Kiseleva, Elena; Gladkova, Natalia; Shakhova, Natalia; Vitkin, Alex

    2015-07-01

    In this paper we report on our recent achievement in application of conventional and cross-polarization OCT (CP OCT) modalities for in vivo clinical diagnostics in different medical areas including gynecology, dermatology, and stomatology. In gynecology, CP OCT was employed for diagnosing fallopian tubes and cervix; in dermatology OCT for monitoring of treatment of psoriasis, scleroderma and atopic dermatitis; and in stomatology for diagnosis of oral diseases. For all considered application, we propose and develop different image processing methods which enhance the diagnostic value of the technique. In particular, we use histogram analysis, Fourier analysis and neural networks, thus calculating different tissue characteristics as revealed by OCT's polarization evolution. These approaches enable improved OCT image quantification and increase its resultant diagnostic accuracy.

  20. Access to augmentative and alternative communication: new technologies and clinical decision-making.

    PubMed

    Fager, Susan; Bardach, Lisa; Russell, Susanne; Higginbotham, Jeff

    2012-01-01

    Children with severe physical impairments require a variety of access options to augmentative and alternative communication (AAC) and computer technology. Access technologies have continued to develop, allowing children with severe motor control impairments greater independence and access to communication. This article will highlight new advances in access technology, including eye and head tracking, scanning, and access to mainstream technology, as well as discuss future advances. Considerations for clinical decision-making and implementation of these technologies will be presented along with case illustrations.

  1. Patient decision-making for clinical genetics.

    PubMed

    Anderson, Gwen

    2007-03-01

    Medicine is incorporating genetic services into all avenues of health-care, ranging from the rarest to the most common diseases. Cognitive theories of decision-making still dominate professionals' understanding of patient decision-making about how to use genetic information and whether to have testing. I discovered a conceptual model of decision-making while carrying out a phenomenological-hermeneutic descriptive study of a convenience sample of 12 couples who were interviewed while deciding whether to undergo prenatal genetic testing. Thirty-two interviews were conducted with 12 men and 12 women separately. Interviews were transcribed verbatim and all data were analyzed using three levels of coding that were sorted into 30 categories and then abstracted into three emergent meta-themes that described men's and women's attempts to make sense and find meaning in how to best use prenatal genetic technology. Their descriptions of how they thought about, communicated, and coped with their decision were so detailed it was possible to discern nine different types of thinking they engaged in while deciding to accept or decline testing. They believed that decision-making is a process of working through your own personal style of thinking. This might include only one or any combination of the following types of thinking: analytical, ethical, moral, reflective, practical, hypothetical, judgmental, scary, and second sight, as described in detail by these 12 couples.

  2. Family patterns of decision-making in pediatric clinical trials.

    PubMed

    Snethen, Julia A; Broome, Marion E; Knafl, Kathleen; Deatrick, Janet A; Angst, Denise B

    2006-06-01

    The decision-making process related to a child's participation in clinical trials often involves multiple family members. The aim of this study was to compare family patterns of decision-making within and across family units in pediatric clinical trials. Participants for this secondary analysis included 14 families from a larger study of informed consent. Four distinct patterns of decision-making were identified: Exclusionary, informative, collaborative, and delegated. These patterns varied with regard to three dimensions of parents' decision-making goals, child level of involvement, and the parental role. These patterns of decision-making affect how parents and children communicate with health professionals and influence the effectiveness of health care providers interactions with the family related to the decision-making process.

  3. Clinical Decision Making among Dental Students and General Practitioners.

    ERIC Educational Resources Information Center

    Grembowski, David; And Others

    1989-01-01

    Senior dental students and family dental practitioners were surveyed concerning their choice of pairs of alternative treatments and the technical and patient factors influencing their decisions. Greater agreement in clinical decision-making was found among dentists than among students for all four pairs of alternative services. (MSE)

  4. The reliability of an epilepsy treatment clinical decision support system.

    PubMed

    Standridge, Shannon; Faist, Robert; Pestian, John; Glauser, Tracy; Ittenbach, Richard

    2014-10-01

    We developed a content validated computerized epilepsy treatment clinical decision support system to assist clinicians with selecting the best antiepilepsy treatments. Before disseminating our computerized epilepsy treatment clinical decision support system, further rigorous validation testing was necessary. As reliability is a precondition of validity, we verified proof of reliability first. We evaluated the consistency of the epilepsy treatment clinical decision support system in three areas including the preferred antiepilepsy drug choice, the top three recommended choices, and the rank order of the three choices. We demonstrated 100% reliability on 15,000 executions involving a three-step process on five different common pediatric epilepsy syndromes. Evidence for the reliability of the epilepsy treatment clinical decision support system was essential for the long-term viability of the system, and served as a crucial component for the next phase of system validation.

  5. The factors facilitating and inhibiting effective clinical decision-making in nursing: a qualitative study

    PubMed Central

    Hagbaghery, Mohsen Adib; Salsali, Mahvash; Ahmadi, Fazlolah

    2004-01-01

    Background Nurses' practice takes place in a context of ongoing advances in research and technology. The dynamic and uncertain nature of health care environment requires nurses to be competent decision-makers in order to respond to clients' needs. Recently, the public and the government have criticized Iranian nurses because of poor quality of patient care. However nurses' views and experiences on factors that affect their clinical function and clinical decision-making have rarely been studied. Methods Grounded theory methodology was used to analyze the participants' lived experiences and their viewpoints regarding the factors affecting their clinical function and clinical decision-making. Semi-structured interviews and participant observation methods were used to gather the data. Thirty-eight participants were interviewed and twelve sessions of observation were carried out. Constant comparative analysis method was used to analyze the data. Results Five main themes emerged from the data. From the participants' points of view, "feeling competent", "being self-confident", "organizational structure", "nursing education", and "being supported" were considered as important factors in effective clinical decision-making. Conclusion As participants in this research implied, being competent and self-confident are the most important personal factors influencing nurses clinical decision-making. Also external factors such as organizational structure, access to supportive resources and nursing education have strengthening or inhibiting effects on the nurses' decisions. Individual nurses, professional associations, schools of nursing, nurse educators, organizations that employ nurses and government all have responsibility for developing and finding strategies that facilitate nurses' effective clinical decision-making. They are responsible for identifying barriers and enhancing factors within the organizational structure that facilitate nurses' clinical decision-making. PMID

  6. The factors facilitating and inhibiting effective clinical decision-making in nursing: a qualitative study.

    PubMed

    Hagbaghery, Mohsen Adib; Salsali, Mahvash; Ahmadi, Fazlolah

    2004-04-06

    BACKGROUND: Nurses' practice takes place in a context of ongoing advances in research and technology. The dynamic and uncertain nature of health care environment requires nurses to be competent decision-makers in order to respond to clients' needs. Recently, the public and the government have criticized Iranian nurses because of poor quality of patient care. However nurses' views and experiences on factors that affect their clinical function and clinical decision-making have rarely been studied. METHODS: Grounded theory methodology was used to analyze the participants' lived experiences and their viewpoints regarding the factors affecting their clinical function and clinical decision-making. Semi-structured interviews and participant observation methods were used to gather the data. Thirty-eight participants were interviewed and twelve sessions of observation were carried out. Constant comparative analysis method was used to analyze the data. RESULTS: Five main themes emerged from the data. From the participants' points of view, "feeling competent", "being self-confident", "organizational structure", "nursing education", and "being supported" were considered as important factors in effective clinical decision-making. CONCLUSION: As participants in this research implied, being competent and self-confident are the most important personal factors influencing nurses clinical decision-making. Also external factors such as organizational structure, access to supportive resources and nursing education have strengthening or inhibiting effects on the nurses' decisions. Individual nurses, professional associations, schools of nursing, nurse educators, organizations that employ nurses and government all have responsibility for developing and finding strategies that facilitate nurses' effective clinical decision-making. They are responsible for identifying barriers and enhancing factors within the organizational structure that facilitate nurses' clinical decision-making.

  7. Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare

    PubMed Central

    Dolan, James G.

    2010-01-01

    Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers. Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine “hard data” with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings. The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP) PMID:21394218

  8. A Framework and Model for Evaluating Clinical Decision Support Architectures

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2008-01-01

    In this paper, we develop a four-phase model for evaluating architectures for clinical decision support that focuses on: defining a set of desirable features for a decision support architecture; building a proof-of-concept prototype; demonstrating that the architecture is useful by showing that it can be integrated with existing decision support systems and comparing its coverage to that of other architectures. We apply this framework to several well-known decision support architectures, including Arden Syntax, GLIF, SEBASTIAN and SAGE PMID:18462999

  9. Development and Testing of a Decision Aid on Goals of Care for Advanced Dementia

    PubMed Central

    Einterz, Seth F.; Gilliam, Robin; Lin, Feng Chang; McBride, J. Marvin; Hanson, Laura C.

    2014-01-01

    Objectives Decision aids are effective to improve decision-making, yet they are rarely tested in nursing homes (NHs). Study objectives were to 1) examine the feasibility of a Goals of Care (GOC) decision aid for surrogate decision-makers (SDMs)of persons with dementia; and 2) test its effect on quality of communication and decision-making. Design Pre-post intervention to test a GOC decision aid intervention for SDMs for persons with dementia in NHs. Investigators collected data from reviews of resident health records and interviews with SDMs at baseline and 3-month follow up. Setting Two NHs in North Carolina. Participants 18 residents who were over 65 years of age, had moderate to severe dementia on the Global Deterioration Scale (GDS=5,6,7), and an English-speaking surrogate decision-maker. Intervention 1) GOC Decision Aid video viewed by the SDM, and 2) a structured care plan meeting between the SDM and interdisciplinary NH team Measurements Surrogate knowledge, quality of communication with health care providers, surrogate-provider concordance on goals of care, and palliative care domains addressed in the care plan. Results 89% of the SDMs thought the decision aid was relevant to their needs. After viewing the video decision aid, SDMs increased the number of correct responses on knowledge-based questions (12.5 vs 14.2, P<.001). At 3 months they reported improved quality of communication scores (6.1 vs 6.8, P=.01) and improved concordance on primary goal of care with nursing home team (50% vs 78%, P=.003). The number of palliative care domains addressed in the care plan increased (1.8 vs 4.3, P<.001). Conclusion The decision-support intervention piloted in this study was feasible and relevant for surrogate decision-makers of persons with advanced dementia in nursing homes, and it improved quality of communication between SDM and NH providers. A larger randomized clinical trial is underway to provide further evidence of the effects of this decision aid

  10. Developing and implementing computerized protocols for standardization of clinical decisions.

    PubMed

    Morris, A H

    2000-03-07

    Humans have only a limited ability to incorporate information in decision making. In certain situations, the mismatch between this limitation and the availability of extensive information contributes to the varying performance and high error rate of clinical decision makers. Variation in clinical practice is due in part to clinicians' poor compliance with guidelines and recommended therapies. The use of decision-support tools is a response to both the information revolution and poor compliance. Computerized protocols used to deliver decision support can be configured to contain much more detail than textual guidelines or paper-based flow diagrams. Such protocols can generate patient-specific instructions for therapy that can be carried out with little interclinician variability; however, clinicians must be willing to modify personal styles of clinical management. Protocols need not be perfect. Several defensible and reasonable approaches are available for clinical problems. However, one of these reasonable approaches must be chosen and incorporated into the protocol to promote consistent clinical decisions. This reasoning is the basis of an explicit method of decision support that allows the rigorous evaluation of interventions, including use of the protocols themselves. Computerized protocols for mechanical ventilation and management of intravenous fluid and hemodynamic factors in patients with the acute respiratory distress syndrome provide case studies for this discussion.

  11. Reducing Diagnostic Error with Computer-Based Clinical Decision Support

    ERIC Educational Resources Information Center

    Greenes, Robert A.

    2009-01-01

    Information technology approaches to delivering diagnostic clinical decision support (CDS) are the subject of the papers to follow in the proceedings. These will address the history of CDS and present day approaches (Miller), evaluation of diagnostic CDS methods (Friedman), and the role of clinical documentation in supporting diagnostic decision…

  12. Advancing Aeronautics: A Decision Framework for Selecting Research Agendas

    NASA Technical Reports Server (NTRS)

    Anton, Philip S.; Ecola, Liisa; Kallimani, James G.; Light, Thomas; Ohlandt, Chad J. R.; Osburg, Jan; Raman, Raj; Grammich, Clifford A.

    2011-01-01

    Publicly funded research has long played a role in the development of aeronautics, ranging from foundational research on airfoils to development of the air-traffic control system. Yet more than a century after the research and development of successful controlled, sustained, heavier-than-air flight vehicles, there are questions over the future of aeronautics research. The field of aeronautics is relatively mature, technological developments within it have become more evolutionary, and funding decisions are sometimes motivated by the continued pursuit of these evolutionary research tracks rather than by larger factors. These developments raise questions over whether public funding of aeronautics research continues to be appropriate or necessary and at what levels. Tightened federal budgets and increasing calls to address other public demands make these questions sharper still. To help it address the questions of appropriate directions for publicly funded aeronautics research, the National Aeronautics and Space Administration's (NASA's) Aeronautics Research Mission Directorate (ARMD) asked the RAND Corporation to assess the elements required to develop a strategic view of aeronautics research opportunities; identify candidate aeronautic grand challenges, paradigms, and concepts; outline a framework for evaluating them; and exercise the framework as an example of how to use it. Accordingly, this research seeks to address these questions: What aeronautics research should be supported by the U.S. government? What compelling and desirable benefits drive government-supported research? How should the government--especially NASA--make decisions about which research to support? Advancing aeronautics involves broad policy and decisionmaking challenges. Decisions involve tradeoffs among competing perspectives, uncertainties, and informed judgment.

  13. Virtual medical record implementation for enhancing clinical decision support.

    PubMed

    Gomoi, Valentin-Sergiu; Dragu, Daniel; Stoicu-Tivadar, Vasile

    2012-01-01

    Development of clinical decision support systems (CDS) is a process which highly depends on the local databases, this resulting in low interoperability. To increase the interoperability of CDS a standard representation of clinical information is needed. The paper suggests a CDS architecture which integrates several HL7 standards and the new vMR (virtual Medical Record). The clinical information for the CDS systems (the vMR) is represented with Topic Maps technology. Beside the implementation of the vMR, the architecture integrates: a Data Manager, an interface, a decision making system (based on Egadss), a retrieving data module. Conclusions are issued.

  14. Cognitive Elements in Clinical Decision-Making

    ERIC Educational Resources Information Center

    Dunphy, Bruce C.; Cantwell, Robert; Bourke, Sid; Fleming, Mark; Smith, Bruce; Joseph, K. S.; Dunphy, Stacey L

    2010-01-01

    Physician cognition, metacognition and affect may have an impact upon the quality of clinical reasoning. The purpose of this study was to examine the relationship between measures of physician metacognition and affect and patient outcomes in obstetric practice. Reflective coping (RC), proactive coping, need for cognition (NFC), tolerance for…

  15. Suicide Danger: Clinical Estimation and Decision.

    ERIC Educational Resources Information Center

    Maltsberger, John T.

    1988-01-01

    Maintains that traditional mental status examination and clinical intuition or empathetic judgment are insufficient to predict suicide. Describes five components involved in the formulation of suicide risk: analysis of the patient's past response to stress, assessment of vulnerability to life-threatening affects, assessment of exterior sustaining…

  16. The need for clinical decision support integrated with the electronic health record for the clinical application of whole genome sequencing information.

    PubMed

    Welch, Brandon M; Kawamoto, Kensaku

    2013-12-18

    Whole genome sequencing (WGS) is rapidly approaching widespread clinical application. Technology advancements over the past decade, since the first human genome was decoded, have made it feasible to use WGS for clinical care. Future advancements will likely drive down the price to the point wherein WGS is routinely available for care. However, were this to happen today, most of the genetic information available to guide clinical care would go unused due to the complexity of genetics, limited physician proficiency in genetics, and lack of genetics professionals in the clinical workforce. Furthermore, these limitations are unlikely to change in the future. As such, the use of clinical decision support (CDS) to guide genome-guided clinical decision-making is imperative. In this manuscript, we describe the barriers to widespread clinical application of WGS information, describe how CDS can be an important tool for overcoming these barriers, and provide clinical examples of how genome-enabled CDS can be used in the clinical setting.

  17. Clinical decision support: the power behind the electronic health record.

    PubMed

    Glaser, John

    2008-07-01

    There are six strategic objectives for promoting adoption of clinical decision support: Use a standardized format for representing clinical data and CDS interventions. Ensure appropriate access to clinical data and CDS interventions. Provide support and incentives for providers to use CDS. Disseminate information about best practices for system design, CDS delivery, and CDS implementation. Continue national demonstrations and evaluation of CDS use. Leverage data interchange between EHRs.

  18. The thinking doctor: clinical decision making in contemporary medicine.

    PubMed

    Trimble, Michael; Hamilton, Paul

    2016-08-01

    Diagnostic errors are responsible for a significant number of adverse events. Logical reasoning and good decision-making skills are key factors in reducing such errors, but little emphasis has traditionally been placed on how these thought processes occur, and how errors could be minimised. In this article, we explore key cognitive ideas that underpin clinical decision making and suggest that by employing some simple strategies, physicians might be better able to understand how they make decisions and how the process might be optimised.

  19. Medical and nursing clinical decision making: a comparative epistemological analysis.

    PubMed

    Rashotte, Judy; Carnevale, F A

    2004-07-01

    The aim of this article is to explore the complex forms of knowledge involved in diagnostic and interventional decision making by comparing the processes in medicine and nursing, including nurse practitioners. Many authors assert that the practice of clinical decision making involves the application of theoretical knowledge (acquired in the classroom and textbooks) as well as research evidence, upon concrete particular cases. This approach draws on various universal principles and algorithms to facilitate the task. On the other hand, others argue that this involves an intuitive form of judgement that is difficult to teach, one that is acquired principally through experience. In an exploration of these issues, this article consists of three sections. A clarification of terms commonly used when discussing decision making is provided in the first section. In the second section, an epistemological analysis of decision making is presented by examining several perspectives and comparing them for their use in the nursing and medical literature. Bunge's epistemological framework for decision making (based on scientific realism) is explored for its fit with the aims of medicine and nursing. The final section presents a discussion of knowledge utilization and decision making as it relates to the implications for the education and ongoing development of nurse practitioners. It is concluded that Donald Schön's conception of reflective practice best characterizes the skillful conduct of clinical decision making.

  20. Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation

    PubMed Central

    Tso, Geoffrey J.; Tu, Samson W.; Oshiro, Connie; Martins, Susana; Ashcraft, Michael; Yuen, Kaeli W.; Wang, Dan; Robinson, Amy; Heidenreich, Paul A.; Goldstein, Mary K.

    2016-01-01

    As utilization of clinical decision support (CDS) increases, it is important to continue the development and refinement of methods to accurately translate the intention of clinical practice guidelines (CPG) into a computable form. In this study, we validate and extend the 13 steps that Shiffman et al.5 identified for translating CPG knowledge for use in CDS. During an implementation project of ATHENA-CDS, we encoded complex CPG recommendations for five common chronic conditions for integration into an existing clinical dashboard. Major decisions made during the implementation process were recorded and categorized according to the 13 steps. During the implementation period, we categorized 119 decisions and identified 8 new categories required to complete the project. We provide details on an updated model that outlines all of the steps used to translate CPG knowledge into a CDS integrated with existing health information technology. PMID:28269916

  1. Advances in cardiology: clinical trial update.

    PubMed

    Howe, Andrew J; Shand, James A; Menown, Ian B A

    2011-05-01

    Multiple key cardiology trials have been presented or published over recent months, several with the potential to change clinical practice. In this article, we summarize and place in clinical context new trial findings regarding anticoagulation in the cardiac catheterization laboratory (enoxaparin, fondaparinux and unfractionated heparin), the implications of genetic polymorphisms and functional testing for antiplatelet therapy (clopidogrel and ticagrelor), new oral anticoagulants for use in atrial fibrillation (apixiban and rivaroxaban), optimal pacing strategies and pharmacological agents in heart failure (ivabradine, eplerenone, cardiac resynchronization therapy, telemonitoring and intracoronary bone marrow stem cell infusion). Clinical trials in percutaneous structural intervention (transcatheter aortic valve implantation, MONARC™ mitral annular implant, STARFlex(®) patent foramen ovale device) and advanced percutaneous coronary intervention (everolimus-eluting stents, biodegradable polymer/polymer-free technologies and contemporary use of intravascular ultrasound) are also discussed.

  2. Semantic Interoperability in Clinical Decision Support Systems: A Systematic Review.

    PubMed

    Marco-Ruiz, Luis; Bellika, Johan Gustav

    2015-01-01

    The interoperability of Clinical Decision Support (CDS) systems with other health information systems has become one of the main limitations to their broad adoption. Semantic interoperability must be granted in order to share CDS modules across different health information systems. Currently, numerous standards for different purposes are available to enable the interoperability of CDS systems. We performed a literature review to identify and provide an overview of the available standards that enable CDS interoperability in the areas of clinical information, decision logic, terminology, and web service interfaces.

  3. Improving Congestive Heart Failure Care with a Clinical Decision Unit.

    PubMed

    Carpenter, Jo Ellen; Short, Nancy; Williams, Tracy E; Yandell, Ben; Bowers, Margaret T

    2015-01-01

    Evidence supporting the development of Clinical Decision Units (CDUs) to impact congestive heart failure readmission rates comes from several categories of the literature. In this study, a pre-post design with comparison group was used to evaluate the impact of the CDU. Early changes in clinical and financial outcome indicators are encouraging. Nurse leaders seek ways to improve clinical outcomes while managing the current financially challenging environment. Implementation of a CDU provides many opportunities for nurse leaders to positively impact clinical care and financial performance within their institutions.

  4. New advances in understanding decisions among multiple alternatives.

    PubMed

    Churchland, Anne K; Ditterich, Jochen

    2012-12-01

    Experimental studies of decision-making have put a strong emphasis on choices between two alternatives. However, real-life decisions often involve multiple alternatives. This article provides an overview of theoretical frameworks that have been proposed to account for behavioral data from both economic and perceptual multialternative decision-making. We further review recent neurophysiological data collected in conjunction with decision-making behavior. These neural recordings provide constraints on putative models of the decision mechanism. For example, the time course of inhibition provides insight into how the competition between alternatives is mediated. Furthermore, whereas decision-related neural activity seems to reach a common threshold at the end of the decision period, the starting point tends to depend systematically on the number of alternatives. We discuss candidate mechanisms that could drive the reduction in firing rates on decisions among multiple alternatives.

  5. Hip Arthroplasty Pseudotumors: Pathogenesis, Imaging, and Clinical Decision Making

    PubMed Central

    Davis, Derik L; Morrison, James J

    2016-01-01

    Pseudotumors are a complication of hip arthroplasty. The goal of this article is to review the clinical presentation, pathogenesis, histology, and the role of diagnostic imaging in clinical decision making for treatment, and surveillance of pseudotumors. We will discuss the multimodal imaging appearances, differential diagnosis, associated complications, treatment, and prognosis of pseudotumors, as an aid to the assessment of orthopedic prostheses at the hip. PMID:27195183

  6. Thinking Processes Used by Nurses in Clinical Decision Making.

    ERIC Educational Resources Information Center

    Higuchi, Kathryn A. Smith; Donald, Janet G.

    2002-01-01

    Interviews with eight medical and surgical nurses and audits of patient charts investigated clinical decision-making processes. Predominant thinking processes were description of facts, selection of information, inference, syntheses, and verification, with differences between medical and surgical specialties. Exemplars of thinking processes…

  7. Integrative clinical genomics of advanced prostate cancer

    PubMed Central

    Dan, Robinson; Van Allen, Eliezer M.; Wu, Yi-Mi; Schultz, Nikolaus; Lonigro, Robert J.; Mosquera, Juan-Miguel; Montgomery, Bruce; Taplin, Mary-Ellen; Pritchard, Colin C; Attard, Gerhardt; Beltran, Himisha; Abida, Wassim M.; Bradley, Robert K.; Vinson, Jake; Cao, Xuhong; Vats, Pankaj; Kunju, Lakshmi P.; Hussain, Maha; Feng, Felix Y.; Tomlins, Scott A.; Cooney, Kathleen A.; Smith, David C.; Brennan, Christine; Siddiqui, Javed; Mehra, Rohit; Chen, Yu; Rathkopf, Dana E.; Morris, Michael J.; Solomon, Stephen B.; Durack, Jeremy C.; Reuter, Victor E.; Gopalan, Anuradha; Gao, Jianjiong; Loda, Massimo; Lis, Rosina T.; Bowden, Michaela; Balk, Stephen P.; Gaviola, Glenn; Sougnez, Carrie; Gupta, Manaswi; Yu, Evan Y.; Mostaghel, Elahe A.; Cheng, Heather H.; Mulcahy, Hyojeong; True, Lawrence D.; Plymate, Stephen R.; Dvinge, Heidi; Ferraldeschi, Roberta; Flohr, Penny; Miranda, Susana; Zafeiriou, Zafeiris; Tunariu, Nina; Mateo, Joaquin; Lopez, Raquel Perez; Demichelis, Francesca; Robinson, Brian D.; Schiffman, Marc A.; Nanus, David M.; Tagawa, Scott T.; Sigaras, Alexandros; Eng, Kenneth W.; Elemento, Olivier; Sboner, Andrea; Heath, Elisabeth I.; Scher, Howard I.; Pienta, Kenneth J.; Kantoff, Philip; de Bono, Johann S.; Rubin, Mark A.; Nelson, Peter S.; Garraway, Levi A.; Sawyers, Charles L.; Chinnaiyan, Arul M.

    2015-01-01

    SUMMARY Toward development of a precision medicine framework for metastatic, castration resistant prostate cancer (mCRPC), we established a multi-institutional clinical sequencing infrastructure to conduct prospective whole exome and transcriptome sequencing of bone or soft tissue tumor biopsies from a cohort of 150 mCRPC affected individuals. Aberrations of AR, ETS genes, TP53 and PTEN were frequent (40–60% of cases), with TP53 and AR alterations enriched in mCRPC compared to primary prostate cancer. We identified novel genomic alterations in PIK3CA/B, R-spondin, BRAF/RAF1, APC, β-catenin and ZBTB16/PLZF. Aberrations of BRCA2, BRCA1 and ATM were observed at substantially higher frequencies (19.3% overall) than seen in primary prostate cancers. 89% of affected individuals harbored a clinically actionable aberration including 62.7% with aberrations in AR, 65% in other cancer-related genes, and 8% with actionable pathogenic germline alterations. This cohort study provides evidence that clinical sequencing in mCRPC is feasible and could impact treatment decisions in significant numbers of affected individuals. PMID:26000489

  8. Clinical Implementation of Novel Targeted Therapeutics in Advanced Breast Cancer.

    PubMed

    Chamberlin, Mary D; Bernhardt, Erica B; Miller, Todd W

    2016-11-01

    The majority of advanced breast cancers have genetic alterations that are potentially targetable with drugs. Through initiatives such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), data can be mined to provide context for next-generation sequencing (NGS) results in the landscape of advanced breast cancer. Therapies for targets other than estrogen receptor alpha (ER) and HER2, such as cyclin-dependent kinases CDK4 and CDK6, were recently approved based on efficacy in patient subpopulations, but no predictive biomarkers have been found, leaving clinicians to continue a trial-and-error approach with each patient. Next-generation sequencing identifies potentially actionable alterations in genes thought to be drivers in the cancerous process including phosphatidylinositol 3-kinase (PI3K), AKT, fibroblast growth factor receptors (FGFRs), and mutant HER2. Epigenetically directed and immunologic therapies have also shown promise for the treatment of breast cancer via histone deacetylases (HDAC) 1 and 3, programmed T cell death 1 (PD-1), and programmed T cell death ligand 1 (PD-L1). Identifying biomarkers to predict primary resistance in breast cancer will ultimately affect clinical decisions regarding adjuvant therapy in the first-line setting. However, the bulk of medical decision-making is currently made in the secondary resistance setting. Herein, we review the clinical potential of PI3K, AKT, FGFRs, mutant HER2, HDAC1/3, PD-1, and PD-L1 as therapeutic targets in breast cancer, focusing on the rationale for therapeutic development and the status of clinical testing. J. Cell. Biochem. 117: 2454-2463, 2016. © 2016 Wiley Periodicals, Inc.

  9. Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications

    PubMed Central

    Fan, Aihua; Tang, Yu

    2017-01-01

    In this paper, we present the design of a clinical decision support system (CDSS) for monitoring comorbid conditions. Specifically, we address the architecture of a CDSS by characterizing it from three layers and discuss the algorithms in each layer. Also we address the applications of CDSSs in a few real scenarios and analyze the accuracy of a CDSS in consideration of the potential conflicts when using multiple clinical practice guidelines concurrently. Finally, we compare the system performance in our design with that in the other design schemes. Our study shows that our proposed design can achieve a clinical decision in a shorter time than the other designs, while ensuring a high level of system accuracy. PMID:28373881

  10. Improving the implementation of clinical decision support systems.

    PubMed

    Rüping, Stefan; Anguita, Alberto; Bucur, Anca; Cirstea, Traian Cristian; Jacobs, Björn; Torge, Antje

    2013-01-01

    Clinical decision support (CDS) systems promise to improve the quality of clinical care by helping physicians to make better, more informed decisions efficiently. However, the design and testing of CDS systems for practical medical use is cumbersome. It has been recognized that this may easily lead to a problematic mismatch between the developers' idea of the system and requirements from clinical practice. In this paper, we will present an approach to reduce the complexity of constructing a CDS system. The approach is based on an ontological annotation of data resources, which improves standardization and the semantic processing of data. This, in turn, allows to use data mining tools to automatically create hypotheses for CDS models, which reduces the manual workload in the creation of a new model. The approach is implemented in the context of EU research project p-medicine. A proof of concept implementation on data from an existing Leukemia study is presented.

  11. Dynamic clinical data mining: search engine-based decision support.

    PubMed

    Celi, Leo Anthony; Zimolzak, Andrew J; Stone, David J

    2014-06-23

    The research world is undergoing a transformation into one in which data, on massive levels, is freely shared. In the clinical world, the capture of data on a consistent basis has only recently begun. We propose an operational vision for a digitally based care system that incorporates data-based clinical decision making. The system would aggregate individual patient electronic medical data in the course of care; query a universal, de-identified clinical database using modified search engine technology in real time; identify prior cases of sufficient similarity as to be instructive to the case at hand; and populate the individual patient's electronic medical record with pertinent decision support material such as suggested interventions and prognosis, based on prior outcomes. Every individual's course, including subsequent outcomes, would then further populate the population database to create a feedback loop to benefit the care of future patients.

  12. Clinical Decision Support for Immunizations (CDSi): A Comprehensive, Collaborative Strategy

    PubMed Central

    Arzt, Noam H.

    2016-01-01

    This article focuses on the requirements and current developments in clinical decision support technologies for immunizations (CDSi) in both the public health and clinical communities, with an emphasis on shareable solutions. The requirements of the Electronic Health Record Incentive Programs have raised some unique challenges for the clinical community, including vocabulary mapping, update of changing guidelines, single immunization schedule, and scalability. This article discusses new, collaborative approaches whose long-term goal is to make CDSi more sustainable for both the public and private sectors. PMID:27789956

  13. The Relationship Between the Clinical Orientation of Substance Abuse Professionals and Their Clinical Decisions

    ERIC Educational Resources Information Center

    Toriello, Paul J.; Leierer, Stephen J.

    2005-01-01

    In this study, the authors examined the relationship between the clinical orientations of substance abuse professionals (SAPs) and their clinical decisions. Cluster analysis grouped a sample of 245 SAPs on two clinical orientations that differed in their relative endorsement of traditional versus contemporary substance abuse counseling processes…

  14. Advances in basic and clinical immunology.

    PubMed

    Chinen, Javier; Finkelman, Fred; Shearer, William T

    2006-08-01

    This review comments on basic and clinical immunology articles that were published in 2005, with a focus on those that appeared in the Journal of Allergy and Clinical Immunology. In the area of basic immunology, mechanisms of the innate immune system and its interaction with the adaptive immune system were described, with special consideration to applications in biodefense strategies. T regulatory cells were further characterized in their role for the control of allergic, autoimmune, and neoplastic disorders. The function of the thymus Hassall's corpuscles was reported to be the generation of T regulatory cells. Flavonoid molecules obtained from medicinal herbs, including astilbin and epigallocatechin gallate, were discovered to have immunomodulatory properties. Advances in clinical immunology resulted from efforts to develop a newborn screening test for severe combined immunodeficiency and the elucidation of the crystal structure of the IL-2 receptor gamma chain. Mutations in the membrane receptor transmembrane activator and calcium modulator and cyclophilin ligand interactor were found in patients with common variable immunodeficiency. New therapeutic options are described, such as the use of infliximab for granulomas and GM-CSF for chronic ulcers in patients with common variable immunodeficiency. The importance of mucosal immunity in acute HIV infection is cited, as is the role of CD8+ T-cell activation in HIV disease progression in children.

  15. Using nursing clinical decision support systems to achieve meaningful use.

    PubMed

    Harrison, Roberta L; Lyerla, Frank

    2012-07-01

    The Health Information Technology and Clinical Health Act (one component of the American Recovery and Reinvestment Act) is responsible for providing incentive payments to hospitals and eligible providers in an effort to support the adoption of electronic health records. Future penalties are planned for electronic health record noncompliance. In order to receive incentives and avoid penalties, hospitals and eligible providers must demonstrate "meaningful use" of their electronic health records. One of the meaningful-use objectives established by the Centers for Medicare & Medicaid Services involves the use of a clinical decision support rule that addresses a hospital-defined, high-priority condition. This article describes the Plan-Do-Study-Act process for creating and implementing a nursing clinical decision support system designed to improve guideline adherence for hypoglycemia management. This project identifies hypoglycemia management as the high-priority area. However, other facilities with different high-priority conditions may find the process presented in this article useful for implementing additional clinical decision support rules geared toward improving outcomes and meeting federal mandates.

  16. Mobile clinical decision support systems and applications: a literature and commercial review.

    PubMed

    Martínez-Pérez, Borja; de la Torre-Díez, Isabel; López-Coronado, Miguel; Sainz-de-Abajo, Beatriz; Robles, Montserrat; García-Gómez, Juan Miguel

    2014-01-01

    The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.

  17. Recent advances in applying decision science to managing national forests

    USGS Publications Warehouse

    Marcot, Bruce G.; Thompson, Matthew P.; Runge, Michael C.; Thompson, Frank R.; McNulty, Steven; Cleaves, David; Tomosy, Monica; Fisher, Larry A.; Andrew, Bliss

    2012-01-01

    Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring the preferred alternative with adaptive management feedbacks. We list a wide array of models, techniques, and tools available for each stage, and provide three case studies of their selected use in National Forest land management and project plans. Successful use of SDM involves participation by decision-makers, analysts, scientists, and stakeholders. We suggest specific areas for training and instituting SDM to foster transparency, rigor, clarity, and inclusiveness in formal decision processes regarding management of national forests.

  18. IBM’s Health Analytics and Clinical Decision Support

    PubMed Central

    Sun, J.; Knoop, S.; Shabo, A.; Carmeli, B.; Sow, D.; Syed-Mahmood, T.; Rapp, W.

    2014-01-01

    Summary Objectives This survey explores the role of big data and health analytics developed by IBM in supporting the transformation of healthcare by augmenting evidence-based decision-making. Methods Some problems in healthcare and strategies for change are described. It is argued that change requires better decisions, which, in turn, require better use of the many kinds of healthcare information. Analytic resources that address each of the information challenges are described. Examples of the role of each of the resources are given. Results There are powerful analytic tools that utilize the various kinds of big data in healthcare to help clinicians make more personalized, evidenced-based decisions. Such resources can extract relevant information and provide insights that clinicians can use to make evidence-supported decisions. There are early suggestions that these resources have clinical value. As with all analytic tools, they are limited by the amount and quality of data. Conclusion Big data is an inevitable part of the future of healthcare. There is a compelling need to manage and use big data to make better decisions to support the transformation of healthcare to the personalized, evidence-supported model of the future. Cognitive computing resources are necessary to manage the challenges in employing big data in healthcare. Such tools have been and are being developed. The analytic resources, themselves, do not drive, but support healthcare transformation. PMID:25123736

  19. Clinical decision support systems: data quality management and governance.

    PubMed

    Liaw, Siaw-Teng

    2013-01-01

    This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. The scope of DQM & IG should range from data creation and collection in clinical settings, through cleaning and, where obtained from multiple sources, linkage, storage, use by the EDS logic engine and algorithms, knowledge base and guidance provided, to curation and presentation. It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.

  20. Query Modification through External Sources to Support Clinical Decisions

    DTIC Science & Technology

    2014-11-01

    Query Modification through External Sources to Support Clinical Decisions Raymond Wan1, Jannifer Hiu-Kwan Man2, and Ting-Fung Chan1 1School of Life...query modifications that use either external data sources or a domain expert. While each method gave slightly different results, we discovered that...biomedical literature offers many possible paths of investigation, our study focused on modifications to the query using external data sources. We submitted 5

  1. Clinical Decision Support for Vascular Disease in Community Family Practice

    PubMed Central

    Keshavjee, K; Holbrook, AM; Lau, E; Esporlas-Jewer, I; Troyan, S

    2006-01-01

    The COMPETE III Vascular Disease Tracker (C3VT) is a personalized, Web-based, clinical decision support tool that provides patients and physicians access to a patient’s 16 individual vascular risk markers, specific advice for each marker and links to best practices in vascular disease management. It utilizes the chronic care model1 so that physicians can better manage patients with chronic diseases. Over 1100 patients have been enrolled into the COMPETE III study to date.

  2. Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.

    PubMed

    Linan, Margaret K; Sottara, Davide; Freimuth, Robert R

    2015-01-01

    Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines.

  3. Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation

    PubMed Central

    Linan, Margaret K.; Sottara, Davide; Freimuth, Robert R.

    2015-01-01

    Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines. PMID:26958298

  4. What We Can Learn from Amazon for Clinical Decision Support Systems.

    PubMed

    Abid, Sidra; Keshavjee, Karim; Karim, Arsalan; Guergachi, Aziz

    2017-01-01

    Health care continue to lag behind other industries, such as retail and financial services, in the use of decision-support-like tools. Amazon is particularly prolific in the use of advanced predictive and prescriptive analytics to assist its customers to purchase more, while increasing satisfaction, retention, repeat-purchases and loyalty. How can we do the same in health care? In this paper, we explore various elements of the Amazon website and Amazon's data science and big data practices to gather inspiration for re-designing clinical decision support in the health care sector. For each Amazon element we identified, we present one or more clinical applications to help us better understand where Amazon's.

  5. Development of a scalable pharmacogenomic clinical decision support service.

    PubMed

    Fusaro, Vincent A; Brownstein, Catherine; Wolf, Wendy; Clinton, Catherine; Savage, Sarah; Mandl, Kenneth D; Margulies, David; Manzi, Shannon

    2013-01-01

    Advances in sequencing technology are making genomic data more accessible within the healthcare environment. Published pharmacogenetic guidelines attempt to provide a clinical context for specific genomic variants; however, the actual implementation to convert genomic data into a clinical report integrated within an electronic medical record system is a major challenge for any hospital. We created a two-part solution that integrates with the medical record system and converts genetic variant results into an interpreted clinical report based on published guidelines. We successfully developed a scalable infrastructure to support TPMT genetic testing and are currently testing approximately two individuals per week in our production version. We plan to release an online variant to clinical interpretation reporting system in order to facilitate translation of pharmacogenetic information into clinical practice.

  6. Power and conflict in intensive care clinical decision making.

    PubMed

    Coombs, Maureen

    2003-06-01

    It is clear that current government policy places increasing emphasis on the need for flexible team working. This requires a shared understanding of roles and working practices. However, review of the current literature reveals that such a collaborative working environment has not as yet, been fully achieved. Role definitions and power bases based on traditional and historical boundaries continue to exist. This ethnographic study explores decision making between doctors and nurses in the intensive care environment in order to examine contemporary clinical roles in this clinical specialty. Three intensive care units were selected as field sites and data was collected through participant observation, ethnographic interviews and documentation. A key issue arising in this study is that whilst the nursing role in intensive care has changed, this has had little impact on how clinical decisions are made. Both medical and nursing staff identify conflict during patient management discussions. However, it is predominantly nurses who seek to redress this conflict area through developing specific behaviours for this clinical forum. Using this approach to resolve such team issues has grave implications if the government vision of interdisciplinary team working is to be realised.

  7. DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS

    PubMed Central

    CHEN, JONATHAN H; GOLDSTEIN, MARY K; ASCH, STEVEN M; ALTMAN, RUSS B

    2015-01-01

    Automatically data-mining clinical practice patterns from electronic health records (EHR) can enable prediction of future practices as a form of clinical decision support (CDS). Our objective is to determine the stability of learned clinical practice patterns over time and what implication this has when using varying longitudinal historical data sources towards predicting future decisions. We trained an association rule engine for clinical orders (e.g., labs, imaging, medications) using structured inpatient data from a tertiary academic hospital. Comparing top order associations per admission diagnosis from training data in 2009 vs. 2012, we find practice variability from unstable diagnoses with rank biased overlap (RBO)<0.35 (e.g., pneumonia) to stable admissions for planned procedures (e.g., chemotherapy, surgery) with comparatively high RBO>0.6. Predicting admission orders for future (2013) patients with associations trained on recent (2012) vs. older (2009) data improved accuracy evaluated by area under the receiver operating characteristic curve (ROC-AUC) 0.89 to 0.92, precision at ten (positive predictive value of the top ten predictions against actual orders) 30% to 37%, and weighted recall (sensitivity) at ten 2.4% to 13%, (P<10−10). Training with more longitudinal data (2009-2012) was no better than only using recent (2012) data. Secular trends in practice patterns likely explain why smaller but more recent training data is more accurate at predicting future practices. PMID:26776186

  8. A highly scalable, interoperable clinical decision support service

    PubMed Central

    Goldberg, Howard S; Paterno, Marilyn D; Rocha, Beatriz H; Schaeffer, Molly; Wright, Adam; Erickson, Jessica L; Middleton, Blackford

    2014-01-01

    Objective To create a clinical decision support (CDS) system that is shareable across healthcare delivery systems and settings over large geographic regions. Materials and methods The enterprise clinical rules service (ECRS) realizes nine design principles through a series of enterprise java beans and leverages off-the-shelf rules management systems in order to provide consistent, maintainable, and scalable decision support in a variety of settings. Results The ECRS is deployed at Partners HealthCare System (PHS) and is in use for a series of trials by members of the CDS consortium, including internally developed systems at PHS, the Regenstrief Institute, and vendor-based systems deployed at locations in Oregon and New Jersey. Performance measures indicate that the ECRS provides sub-second response time when measured apart from services required to retrieve data and assemble the continuity of care document used as input. Discussion We consider related work, design decisions, comparisons with emerging national standards, and discuss uses and limitations of the ECRS. Conclusions ECRS design, implementation, and use in CDS consortium trials indicate that it provides the flexibility and modularity needed for broad use and performs adequately. Future work will investigate additional CDS patterns, alternative methods of data passing, and further optimizations in ECRS performance. PMID:23828174

  9. Eco-informatics for decision makers advancing a research agenda

    USGS Publications Warehouse

    Cushing, J.B.; Wilson, T.; Brandt, L.; Gregg, V.; Spengler, S.; Borning, A.; Delcambre, L.; Bowker, G.; Frame, M.; Fulop, J.; Hert, C.; Hovy, E.; Jones, J.; Landis, E.; Schnase, J.L.; Schweik, C.; Sonntag, W.; ,

    2005-01-01

    Resource managers often face significant information technology (IT) problems when integrating ecological or environmental information to make decisions. At a workshop sponsored by the NSF and USGS in December 2004, university researchers, natural resource managers, and information managers met to articulate IT problems facing ecology and environmental decision makers. Decision making IT problems were identified in five areas: 1) policy, 2) data presentation, 3) data gaps, 4) tools, and 5) indicators. To alleviate those problems, workshop participants recommended specific informatics research in modeling and simulation, data quality, information integration and ontologies, and social and human aspects. This paper reports the workshop findings, and briefly compares these with research that traditionally falls under the emerging eco-informatics rubric. ?? Springer-Verlag Berlin Heidelberg 2005.

  10. A Clinical Decision Support System for Breast Cancer Patients

    NASA Astrophysics Data System (ADS)

    Fernandes, Ana S.; Alves, Pedro; Jarman, Ian H.; Etchells, Terence A.; Fonseca, José M.; Lisboa, Paulo J. G.

    This paper proposes a Web clinical decision support system for clinical oncologists and for breast cancer patients making prognostic assessments, using the particular characteristics of the individual patient. This system comprises three different prognostic modelling methodologies: the clinically widely used Nottingham prognostic index (NPI); the Cox regression modelling and a partial logistic artificial neural network with automatic relevance determination (PLANN-ARD). All three models yield a different prognostic index that can be analysed together in order to obtain a more accurate prognostic assessment of the patient. Missing data is incorporated in the mentioned models, a common issue in medical data that was overcome using multiple imputation techniques. Risk group assignments are also provided through a methodology based on regression trees, where Boolean rules can be obtained expressed with patient characteristics.

  11. Clinical decision support for physician order-entry: design challenges.

    PubMed

    Broverman, C A; Clyman, J I; Schlesinger, J M; Want, E

    1996-01-01

    We report on a joint development effort between ALLTEL Information Services Health Care Division and IBM Worldwide Healthcare Industry to demonstrate concurrent clinical decision support using Arden Syntax at order-entry time. The goal of the partnership is to build a high performance CDS toolkit that may be easily customized for multiple health care enterprises. Our work uses and promotes open technologies and health care standards while building a generalizable interface to a legacy patient-care system and clinical database. This paper identifies four areas of design challenges and solutions unique to a concurrent order-entry environment: the clinical information model, the currency of the patient virtual chart, the granularity of event triggers and rule evaluation context, and performance.

  12. Clinical decision making-a functional medicine perspective.

    PubMed

    Pizzorno, Joseph E

    2012-09-01

    As 21st century health care moves from a disease-based approach to a more patient-centric system that can address biochemical individuality to improve health and function, clinical decision making becomes more complex. Accentuating the problem is the lack of a clear standard for this more complex functional medicine approach. While there is relatively broad agreement in Western medicine for what constitutes competent assessment of disease and identification of related treatment approaches, the complex functional medicine model posits multiple and individualized diagnostic and therapeutic approaches, most or many of which have reasonable underlying science and principles, but which have not been rigorously tested in a research or clinical setting. This has led to non-rigorous thinking and sometimes to uncritical acceptance of both poorly documented diagnostic procedures and ineffective therapies, resulting in less than optimal clinical care.

  13. Modeling decision support rule interactions in a clinical setting.

    PubMed

    Sordo, Margarita; Rocha, Beatriz H; Morales, Alfredo A; Maviglia, Saverio M; Oglio, Elisa Dell'Oglio; Fairbanks, Amanda; Aroy, Teal; Dubois, David; Bouyer-Ferullo, Sharon; Rocha, Roberto A

    2013-01-01

    Traditionally, rule interactions are handled at implementation time through rule task properties that control the order in which rules are executed. By doing so, knowledge about the behavior and interactions of decision rules is not captured at modeling time. We argue that this is important knowledge that should be integrated in the modeling phase. In this project, we build upon current work on a conceptual schema to represent clinical knowledge for decision support in the form of if then rules. This schema currently captures provenance of the clinical content, context where such content is actionable (i.e. constraints) and the logic of the rule itself. For this project, we borrowed concepts from both the Semantic Web (i.e., Ontologies) and Complex Adaptive Systems (CAS), to explore a conceptual approach for modeling rule interactions in an enterprise-wide clinical setting. We expect that a more comprehensive modeling will facilitate knowledge authoring, editing and update; foster consistency in rules implementation and maintenance; and develop authoritative knowledge repositories to promote quality, safety and efficacy of healthcare.

  14. Recent advances in limb lengthening. Part I: Clinical advances.

    PubMed

    Sproul, J T; Price, C T

    1992-03-01

    The discipline of limb lengthening has undergone numerous advances in recent years. An increased understanding of the biology of distraction osteogenesis, as well as technical advances, has made lengthening more feasible. However, significant problems remain unsolved, and complications--although less severe and long standing--still remain. Little is known about the effect of distraction on soft tissues. Lengthening in skeletally mature patients remains difficult. The myriad of conditions that require lengthening often confounds comparison of techniques. Uniform indications for limb lengthening may never exist, but increasing experience helps guide patient selection.

  15. Studying the Vendor Perspective on Clinical Decision Support

    PubMed Central

    Ash, Joan S.; Sittig, Dean F.; McMullen, Carmit K.; McCormack, James L.; Wright, Adam; Bunce, Arwen; Wasserman, Joseph; Mohan, Vishnu; Cohen, Deborah J.; Shapiro, Michael; Middleton, Blackford

    2011-01-01

    In prior work, using a Rapid Assessment Process (RAP), we have investigated clinical decision support (CDS) in ambulatory clinics and hospitals. We realized that individuals in these settings provide only one perspective related to the CDS landscape, which also includes content vendors and electronic health record (EHR) vendors. To discover content vendors’ perspectives and their perceived challenges, we modified RAP for industrial settings. We describe how we employed RAP, and show its utility by describing two illustrative themes. We found that while the content vendors believe they provide unique much-needed services, the amount of labor involved in content development is underestimated by others. We also found that the content vendors believe their products are resources to be used by practitioners, so they are somewhat protected from liability issues. To promote adequate understanding about these issues, we recommend a “three way conversation” among content vendors, EHR vendors, and user organizations. PMID:22195058

  16. Evaluation of RxNorm for Medication Clinical Decision Support

    PubMed Central

    Freimuth, Robert R.; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G.

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS. PMID:25954360

  17. Patient management scenario: a framework for clinical decision and prognosis.

    PubMed

    Gospodarowicz, Mary; O'Sullivan, Brian

    2003-01-01

    The depiction of prognosis is one of the main activities and a mainstay in medical practice. In cancer, as in other diseases, the prognosis differs for a variety of situations and evolves with time and with medical interventions. Although most commonly described at diagnosis, prognosis may be defined at any time during the course of the disease and for any endpoint including response to therapy, failure of treatment, survival, or preservation of function, and so forth. To facilitate the accurate portrayal of the future, the prognosis should be defined within a specific setting, referred to as a 'management scenario'. In the concept of a management scenario, the prognosis is defined using systematically considered prognostic factors, interventions and the outcome of interest. A deliberate and careful determination of prognosis is essential to clinical decision making and patient care. We illustrate the use of the concept of management scenario in several clinical examples.

  18. Studying the vendor perspective on clinical decision support.

    PubMed

    Ash, Joan S; Sittig, Dean F; McMullen, Carmit K; McCormack, James L; Wright, Adam; Bunce, Arwen; Wasserman, Joseph; Mohan, Vishnu; Cohen, Deborah J; Shapiro, Michael; Middleton, Blackford

    2011-01-01

    In prior work, using a Rapid Assessment Process (RAP), we have investigated clinical decision support (CDS) in ambulatory clinics and hospitals. We realized that individuals in these settings provide only one perspective related to the CDS landscape, which also includes content vendors and electronic health record (EHR) vendors. To discover content vendors' perspectives and their perceived challenges, we modified RAP for industrial settings. We describe how we employed RAP, and show its utility by describing two illustrative themes. We found that while the content vendors believe they provide unique much-needed services, the amount of labor involved in content development is underestimated by others. We also found that the content vendors believe their products are resources to be used by practitioners, so they are somewhat protected from liability issues. To promote adequate understanding about these issues, we recommend a "three way conversation" among content vendors, EHR vendors, and user organizations.

  19. Evaluation of RxNorm for Medication Clinical Decision Support.

    PubMed

    Freimuth, Robert R; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS.

  20. Clinical genomics information management software linking cancer genome sequence and clinical decisions.

    PubMed

    Watt, Stuart; Jiao, Wei; Brown, Andrew M K; Petrocelli, Teresa; Tran, Ben; Zhang, Tong; McPherson, John D; Kamel-Reid, Suzanne; Bedard, Philippe L; Onetto, Nicole; Hudson, Thomas J; Dancey, Janet; Siu, Lillian L; Stein, Lincoln; Ferretti, Vincent

    2013-09-01

    Using sequencing information to guide clinical decision-making requires coordination of a diverse set of people and activities. In clinical genomics, the process typically includes sample acquisition, template preparation, genome data generation, analysis to identify and confirm variant alleles, interpretation of clinical significance, and reporting to clinicians. We describe a software application developed within a clinical genomics study, to support this entire process. The software application tracks patients, samples, genomic results, decisions and reports across the cohort, monitors progress and sends reminders, and works alongside an electronic data capture system for the trial's clinical and genomic data. It incorporates systems to read, store, analyze and consolidate sequencing results from multiple technologies, and provides a curated knowledge base of tumor mutation frequency (from the COSMIC database) annotated with clinical significance and drug sensitivity to generate reports for clinicians. By supporting the entire process, the application provides deep support for clinical decision making, enabling the generation of relevant guidance in reports for verification by an expert panel prior to forwarding to the treating physician.

  1. Clinical decision rules to distinguish between bacterial and aseptic meningitis

    PubMed Central

    Dubos, F; Lamotte, B; Bibi‐Triki, F; Moulin, F; Raymond, J; Gendrel, D; Bréart, G; Chalumeau, M

    2006-01-01

    Background Clinical decision rules have been derived to distinguish between bacterial and aseptic meningitis in the emergency room to avoid unnecessary antibiotic treatments and hospitalisations. Aims To evaluate the reproducibility and to compare the diagnostic performance of five clinical decision rules. Methods All children hospitalised for bacterial meningitis between 1995 and 2004 or aseptic meningitis between 2000 and 2004 have been included in a retrospective cohort study. Sensitivity and specificity were calculated by applying each rule to the patients. The best rule was a priori defined as the one yielding 100% sensitivity for bacterial meningitis, the highest specificity, and the greatest simplicity for a bedside application. Results Among the 166 patients included, 20 had bacterial meningitis and 146 had aseptic meningitis. Although three rules achieved 100% sensitivity (95% CI 84–100), one had a significantly lower specificity (13%, 95% CI 8–19) than those of the other two rules (57%, 95% CI 48–65; and 66%, 95% CI 57–73), which were not statistically different. The ease of manual computation of the rule developed by Nigrovic et al (a simple list of five items: seizure, blood neutrophil count, cerebrospinal fluid (CSF) Gram stain, CSF protein, CSF neutrophil count) was higher than the one developed by Bonsu and Harper. Conclusion On our population, the rule derived by Nigrovic et al had the best balance between accuracy and simplicity of manual computation and could help to avoid two thirds of unnecessary antibiotic treatments and hospitalisations. PMID:16595647

  2. Advanced Email Risk Classification and Recipient Decision Assistance

    ERIC Educational Resources Information Center

    Estes, Aaron

    2016-01-01

    Email attacks comprise an overwhelming majority of the daily attacks on modern enterprise. "Phishing" is the leading attack vector for the world's most dangerous threats such as the so-called, Advanced Persistent Threat (APT), and hacktivist groups such as Anonymous and LulzSec. The leading mitigation strategy is a combination of user…

  3. Accounting for Advanced High School Coursework in College Admission Decisions

    ERIC Educational Resources Information Center

    Sadler, Philip M.; Tai, Robert H.

    2007-01-01

    The purpose of the current study is to investigate the feasibility of accounting for student performance in advanced high school coursework through the adjustment of high school grade point average (HSGPA) while separating out variables that are independently considered in the admission process, e.g., SAT/ACT scores, community affluence, type of…

  4. Decision Aids for Airborne Intercept Operations in Advanced Aircrafts

    NASA Technical Reports Server (NTRS)

    Madni, A.; Freedy, A.

    1981-01-01

    A tactical decision aid (TDA) for the F-14 aircrew, i.e., the naval flight officer and pilot, in conducting a multitarget attack during the performance of a Combat Air Patrol (CAP) role is presented. The TDA employs hierarchical multiattribute utility models for characterizing mission objectives in operationally measurable terms, rule based AI-models for tactical posture selection, and fast time simulation for maneuver consequence prediction. The TDA makes aspect maneuver recommendations, selects and displays the optimum mission posture, evaluates attackable and potentially attackable subsets, and recommends the 'best' attackable subset along with the required course perturbation.

  5. Rethinking autonomy: decision making between patient and surgeon in advanced illnesses

    PubMed Central

    Hinshaw, Daniel B.

    2016-01-01

    Patients with advanced illness such as advanced stage cancer presenting with the need for possible surgical intervention can be some of the most challenging cases for a surgeon. Often there are multiple factors influencing the decisions made. For patients they are facing not just the effects of the disease on their body, but the stark realization that the disease will also limit their life. Not only are these factors a consideration when patients are making decisions, but also the desire to make the decision that is best for themselves, the autonomous decision. Also included in this process for the patient facing the possible need for an intervention is the surgeon. While patient autonomy remains one of the main principles within medicine, guiding treatment decisions, there is also the surgeon’s autonomy to be considered. Surgeons determine if there is even a possible intervention to be offered to patients, a decision making process that respects surgeons’ autonomous choices and includes elements of paternalism as surgeons utilize their expertise to make decisions. Included in the treatment decisions that are made and the care of the patient is the impact patients’ outcomes have on the surgeon, the inherent drive to be the best for the patient and desire for good outcomes for the patient. While both the patient’s and surgeon’s autonomy are a dynamic interface influencing decision making, the main goal for the patient facing a palliative procedure is that of making treatment decisions based on the concept of shared decision making, always giving primary consideration to the patient’s goals and values. Lastly, regardless of the decision made, it is the responsibility of surgeons to their patients to be a source of support through this challenging time. PMID:27004224

  6. Can patient decision aids help people make good decisions about participating in clinical trials? A study protocol

    PubMed Central

    Brehaut, Jamie C; Lott, Alison; Fergusson, Dean A; Shojania, Kaveh G; Kimmelman, Jonathan; Saginur, Raphael

    2008-01-01

    Background Evidence shows that the standard process for obtaining informed consent in clinical trials can be inadequate, with study participants frequently not understanding even basic information fundamental to giving informed consent. Patient decision aids are effective decision support tools originally designed to help patients make difficult treatment or screening decisions. We propose that incorporating decision aids into the informed consent process will improve the extent to which participants make decisions that are informed and consistent with their preferences. A mixed methods study will test this proposal. Methods Phase one of this project will involve assessment of a stratified random sample of 50 consent documents from recently completed investigator-initiated clinical trials, according to existing standards for supporting good decision making. Phase two will involve interviews of a purposive sample of 50 trial participants (10 participants from each of five different clinical areas) about their experience of the informed consent process, and how it could be improved. In phase three, we will convert consent forms for two completed clinical trials into decision aids and pilot test these new tools using a user-centered design approach, an iterative development process commonly employed in computer usability literature. In phase four, we will conduct a pilot observational study comparing the new tools to standard consent forms, with potential recruits to two hypothetical clinical trials. Outcomes will include knowledge of key aspects of the decision, knowledge of the probabilities of different outcomes, decisional conflict, the hypothetical participation decision, and qualitative impressions of the experience. Discussion This work will provide initial evidence about whether a patient decision aid can improve the informed consent process. The larger goal of this work is to examine whether study recruitment can be improved from (barely) informed consent

  7. The Effects of Advanced 'Glass Cockpit' Displayed Flight Instrumentation on In-flight Pilot Decision Making

    NASA Astrophysics Data System (ADS)

    Steigerwald, John

    The Cognitive Continuum Theory (CCT) was first proposed 25 years ago to explain the relationship between intuition and analytical decision making processes. In order for aircraft pilots to make these analytical and intuitive decisions, they obtain information from various instruments within the cockpit of the aircraft. Advanced instrumentation is used to provide a broad array of information about the aircraft condition and flight situation to aid the flight crew in making effective decisions. The problem addressed is that advanced instrumentation has not improved the pilot decision making in modern aircraft. Because making a decision is dependent upon the information available, this experimental quantitative study sought to determine how well pilots organize and interpret information obtained from various cockpit instrumentation displays when under time pressure. The population for this study was the students, flight instructors, and aviation faculty at the Middle Georgia State College School of Aviation campus in Eastman, Georgia. The sample was comprised of two groups of 90 individuals (45 in each group) in various stages of pilot licensure from student pilot to airline transport pilot (ATP). The ages ranged from 18 to 55 years old. There was a statistically significant relationship at the p < .05 level in the ability of the participants to organize and interpret information between the advanced glass cockpit instrumentation and the traditional cockpit instrumentation. It is recommended that the industry explore technological solutions toward creating cockpit instrumentation that could match the type of information display to the type of decision making scenario in order to aid pilots in making decisions that will result in better organization of information. Understanding the relationship between the intuitive and analytical decisions that pilots make and the information source they use to make those decisions will aid engineers in the design of instrumentation

  8. Biostatistics in clinical decision making for cardiothoracic radiologists.

    PubMed

    Zurakowski, David; Johnson, Victor M; Lee, Edward Y

    2013-11-01

    Cardiothoracic radiologists are intuitively aware of sensitivity and specificity as they pertain to diagnostic tests involving clinical information. However, many cardiothoracic radiologists are unfamiliar with odds ratios, likelihood ratios, predictive values, and receiver operating characteristic (ROC) curves, which provide more information about the performance of a test. Our article will first review the fundamental concepts of sensitivity, specificity, predictive values, and likelihood ratios. The ROC curve methodology will be covered with an emphasis on creating a look-up table, a straightforward table that communicates important information to the clinician to aid in diagnosis. The article reviews sensitivity and specificity, as well as predictive values, logistic regression, and ROC curves, using conceptual principles without unnecessary mathematical rigor. We will apply principles of sensitivity and specificity to continuous measurements by constructing ROC curves in order to tie together key ideas in diagnostic decision making. Three clinical examples are presented to illustrate these fundamental statistical concepts: predictors of pulmonary embolism in children, use of dobutamine-cardiac magnetic resonance imaging to identify impaired ventricular function in patients who have suffered a myocardial infarction, and diagnostic accuracy of 64-multidetector row computed tomography to identify occluded vessels in adult patients with suspected coronary artery disease. In addition, a glossary is provided at the end of the article with key terms important in diagnostic imaging. An understanding of the concepts presented will assist cardiothoracic radiologists in critically discerning the usefulness of diagnostic tests and how these statistics can be applied to make judgments and decisions that are essential to clinical practice.

  9. Clinical Decisions: Determining When to Save or Remove an Ailing Implant.

    PubMed

    Tarnow, Dennis P; Chu, Stephen J; Fletcher, Paul D

    2016-04-01

    The basis for the decision to either save or remove an ailing implant is multifactorial, and, as such, it has become one of the more controversial topics in the field of dental implantology. While bone lost to peri-implant disease can now be augmented with increasing predictability, the degree of success still varies depending on the size and configuration of the osseous defect. Concurrently, with the development of improved high-reverse torque instrumentation, minimally invasive techniques can be used to easily remove an implant that is malpositioned, causing an esthetic problem, or showing advanced bone loss. Any eventual decision regarding the retention or removal of an ailing implant must also be balanced with the desires of the patient, who typically will have already invested significant time and money to have the implant initially placed and restored. This article will present the variables involved in the decision-making process for when to save or remove an ailing implant. Clinical examples illustrating the management for these factors will be offered, providing clinicians a variety of alternatives available for managing different clinical circumstances that may be encountered.

  10. Clinical decision support for perioperative information management systems.

    PubMed

    Wanderer, Jonathan P; Ehrenfeld, Jesse M

    2013-12-01

    Clinical decision support (CDS) systems are being used to optimize the increasingly complex care that our health care system delivers. These systems have become increasingly important in the delivery of perioperative care for patients undergoing cardiac, thoracic, and vascular procedures. The adoption of perioperative information management systems (PIMS) has allowed these technologies to enter the operating room and support the clinical work flow of anesthesiologists and operational processes. Constructing effective CDS systems necessitates an understanding of operative work flow and technical considerations as well as achieving integration with existing information systems. In this review, we describe published examples of CDS for PIMS, including support for cardiopulmonary bypass separation physiological alarms, β-blocker guideline adherence, enhanced revenue capture for arterial line placement, and detection of hemodynamic monitoring gaps. Although these and other areas are amenable to CDS systems, the challenges of latency and data reliability represent fundamental limitations on the potential application of these tools to specific types of clinical issues. Ultimately, we expect that CDS will remain an important tool in our efforts to optimize the quality of care delivered.

  11. Decision aids for advance care planning: an overview of the state of the science.

    PubMed

    Butler, Mary; Ratner, Edward; McCreedy, Ellen; Shippee, Nathan; Kane, Robert L

    2014-09-16

    Advance care planning honors patients' goals and preferences for future care by creating a plan for when illness or injury impedes the ability to think or communicate about health decisions. Fewer than 50% of severely or terminally ill patients have an advance directive in their medical record, and physicians are accurate only about 65% of the time when predicting patient preferences for intensive care. Decision aids can support the advance care planning process by providing a structured approach to informing patients about care options and prompting them to document and communicate their preferences. This review, commissioned as a technical brief by the Agency for Healthcare Research and Quality Effective Health Care Program, provides a broad overview of current use of and research related to decision aids for adult advance care planning. Using interviews of key informants and a search of the gray and published literature from January 1990 to May 2014, the authors found that many decision aids are widely available but are not assessed in the empirical literature. The 16 published studies testing decision aids as interventions for adult advance care planning found that most are proprietary or not publicly available. Some are constructed for the general population, whereas others address disease-specific conditions that have more predictable end-of-life scenarios and, therefore, more discrete choices. New decision aids should be designed that are responsive to diverse philosophical perspectives and flexible enough to change as patients gain experience with their personal illness courses. Future efforts should include further research, training of advance care planning facilitators, dissemination and access, and tapping potential opportunities in social media or other technologies.

  12. A Four-Phase Model of the Evolution of Clinical Decision Support Architectures

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2008-01-01

    Background A large body of evidence over many years suggests that clinical decision support systems can be helpful in improving both clinical outcomes and adherence to evidence-based guidelines. However, to this day, clinical decision support systems are not widely used outside of a small number of sites. One reason why decision support systems are not widely used is the relative difficulty of integrating such systems into clinical workflows and computer systems. Purpose To review and synthesize the history of clinical decision support systems, and to propose a model of various architectures for integrating clinical decision support systems with clinical systems. Methods The authors conducted an extensive review of the clinical decision support literature since 1959, sequenced the systems and developed a model. Results The model developed consists of four phases: standalone decision support systems, decision support integrated into clinical systems, standards for sharing clinical decision support content and service models for decision support. These four phases have not heretofore been identified, but they track remarkably well with the chronological history of clinical decision support, and show evolving and increasingly sophisticated attempts to ease integrating decision support systems into clinical workflows and other clinical systems. Conclusions Each of the four evolutionary approaches to decision support architecture has unique advantages and disadvantages. A key lesson was that there were common limitations that almost all the approaches faced, and no single approach has been able to entirely surmount: 1) fixed knowledge representation systems inherently circumscribe the type of knowledge that can be represented in them, 2) there are serious terminological issues, 3) patient data may be spread across several sources with no single source having a complete view of the patient, and 4) major difficulties exist in transferring successful interventions from one

  13. AGU governance's decision-making process advances strategic plan

    NASA Astrophysics Data System (ADS)

    McPhaden, Michael; Finn, Carol; McEntee, Chris

    2012-10-01

    A lot has happened in a little more than 2 years, and we want give AGU members an update on how things are working under AGU's strategic plan and governance model. AGU is an organization committed to its strategic plan (http://www.agu.org/about/strategic_plan.shtml), and if you have not read the plan lately, we encourage you to do so. AGU's vision is to be an organization that "galvanizes a community of Earth and space scientists that collaboratively advances and communicates science and its power to ensure a sustainable future." We are excited about the progress we have made under this plan and the future course we have set for the Union. Everything the Board of Directors, Council, and committees put on their agendas is intended to advance AGU's strategic goals and objectives. Together with headquarters staff, these bodies are working in an integrated, effective manner to carry out this plan. The best way to demonstrate the progress made and each group's role is to walk through a recent example: the creation of a new Union-level award (see Figure 1).

  14. Doctors' attitudes to risk in difficult clinical decisions: application of decision analysis in hepatobiliary disease.

    PubMed

    Theodossi, A; Spiegelhalter, D J; McFarlane, I G; Williams, R

    1984-07-28

    Twelve doctors with special training in hepatology independently reviewed two to five cases each from a group of seven cases of complicated hepatobiliary problems. A doctor's willingness to take risks to improve his patients' health was quantified by a wagering technique based on the probability of achieving a successful intervention. These probabilities were then used to calculate "utilities," which represented the average opinion of the doctors about the relative worth of each of six predefined states of health. The results showed that, in the context of risky decisions for severely ill patients, a year of life was considered by the doctors to be worth 44% of a full recovery; being mobile for that year increased this value to 57%. Survival for up to five years with restricted mobility was considered to be worth 70% of a full recovery and the ability to work during that period increased this value to 85%. It is concluded that in clinical decision making the uncertainty and preferences implicit in a course of action can be quantified and thus made explicit.

  15. Clinical Decision Support for Early Recognition of Sepsis.

    PubMed

    Amland, Robert C; Hahn-Cover, Kristin E

    2016-01-01

    Sepsis is an inflammatory response triggered by infection, with a high in-hospital mortality rate. Early recognition and treatment can reverse the inflammatory response, with evidence of improved patient outcomes. One challenge clinicians face is identifying the inflammatory syndrome against the background of the patient's infectious illness and comorbidities. An approach to this problem is implementation of computerized early warning tools for sepsis. This multicenter retrospective study sought to determine clinimetric performance of a cloud-based computerized sepsis clinical decision support system (CDS), understand the epidemiology of sepsis, and identify opportunities for quality improvement. Data encompassed 6200 adult hospitalizations from 2012 through 2013. Of 13% patients screened-in, 51% were already suspected to have an infection when the system activated. This study focused on a patient cohort screened-in before infection was suspected; median time from arrival to CDS activation was 3.5 hours, and system activation to diagnostic collect was another 8.6 hours.

  16. The Need for Clinical Decision Support Integrated with the Electronic Health Record for the Clinical Application of Whole Genome Sequencing Information

    PubMed Central

    Welch, Brandon M.; Kawamoto, Kensaku

    2013-01-01

    Whole genome sequencing (WGS) is rapidly approaching widespread clinical application. Technology advancements over the past decade, since the first human genome was decoded, have made it feasible to use WGS for clinical care. Future advancements will likely drive down the price to the point wherein WGS is routinely available for care. However, were this to happen today, most of the genetic information available to guide clinical care would go unused due to the complexity of genetics, limited physician proficiency in genetics, and lack of genetics professionals in the clinical workforce. Furthermore, these limitations are unlikely to change in the future. As such, the use of clinical decision support (CDS) to guide genome-guided clinical decision-making is imperative. In this manuscript, we describe the barriers to widespread clinical application of WGS information, describe how CDS can be an important tool for overcoming these barriers, and provide clinical examples of how genome-enabled CDS can be used in the clinical setting. PMID:25411643

  17. SANDS: An Architecture for Clinical Decision Support in a National Health Information Network

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2007-01-01

    A new architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support) is introduced and its performance evaluated. The architecture provides a method for performing clinical decision support across a network, as in a health information exchange. Using the prototype we demonstrated that, first, a number of useful types of decision support can be carried out using our architecture; and, second, that the architecture exhibits desirable reliability and performance characteristics. PMID:18693950

  18. Creating a framework for clinical nursing practice to advance in the West Midlands region.

    PubMed

    Dunn, L; Morgan, E

    1998-05-01

    The West Midlands Regional Health Authority identified a lack of opportunities for nurses to develop advanced clinical practice through a recognized programme at Postgraduate diploma/Masters degree level. Education for clinical practice must be equally grounded in theory and practice. Advanced clinical practice requires more than just skills acquisition, it has a much wider remit incorporating elements of clinical expertise and higher level decision making, research awareness, teaching and role modelling, informing policy making and leading in the provision of patient care within individual Trusts. This initiative has encouraged universities, trusts and provider units to work together to identify and prepare students and staff for their changes in role, and to review existing boundaries for practice which will enable new approaches to team work and the provision of holistic patient care.

  19. [Cancer screening in clinical practice: the value of shared decision-making].

    PubMed

    Cornuz, Jacques; Junod, Noëlle; Pasche, Olivier; Guessous, Idris

    2010-07-14

    Shared decision-making approach to uncertain clinical situations such as cancer screening seems more appropriate than ever. Shared decision making can be defined as an interactive process where physician and patient share all the stages of the decision making process. For patients who wish to be implicated in the management of their health conditions, physicians might express difficulty to do so. Use of patient decision aids appears to improve such process of shared decision making.

  20. Exploration Clinical Decision Support System: Medical Data Architecture

    NASA Technical Reports Server (NTRS)

    Lindsey, Tony; Shetye, Sandeep; Shaw, Tianna (Editor)

    2016-01-01

    The Exploration Clinical Decision Support (ECDS) System project is intended to enhance the Exploration Medical Capability (ExMC) Element for extended duration, deep-space mission planning in HRP. A major development guideline is the Risk of "Adverse Health Outcomes & Decrements in Performance due to Limitations of In-flight Medical Conditions". ECDS attempts to mitigate that Risk by providing crew-specific health information, actionable insight, crew guidance and advice based on computational algorithmic analysis. The availability of inflight health diagnostic computational methods has been identified as an essential capability for human exploration missions. Inflight electronic health data sources are often heterogeneous, and thus may be isolated or not examined as an aggregate whole. The ECDS System objective provides both a data architecture that collects and manages disparate health data, and an active knowledge system that analyzes health evidence to deliver case-specific advice. A single, cohesive space-ready decision support capability that considers all exploration clinical measurements is not commercially available at present. Hence, this Task is a newly coordinated development effort by which ECDS and its supporting data infrastructure will demonstrate the feasibility of intelligent data mining and predictive modeling as a biomedical diagnostic support mechanism on manned exploration missions. The initial step towards ground and flight demonstrations has been the research and development of both image and clinical text-based computer-aided patient diagnosis. Human anatomical images displaying abnormal/pathological features have been annotated using controlled terminology templates, marked-up, and then stored in compliance with the AIM standard. These images have been filtered and disease characterized based on machine learning of semantic and quantitative feature vectors. The next phase will evaluate disease treatment response via quantitative linear

  1. A clinical advancement process revisited: a descriptive study.

    PubMed

    Ward, Cynthia W; Goodrich, Cynthia A

    2007-06-01

    Clinical advancement programs are not evaluated often for effectiveness and participant satisfaction. The advancement committee at this community hospital made the commitment to evaluate participant satisfaction periodically. Revisions were made in the program based on the evaluation findings and implemented in 2002. This re-evaluation was conducted to determine participant satisfaction.

  2. A rule-based clinical decision model to support interpretation of multiple data in health examinations.

    PubMed

    Kuo, Kuan-Liang; Fuh, Chiou-Shann

    2011-12-01

    Health examinations can obtain relatively complete health information and thus are important for the personal and public health management. For clinicians, one of the most important works in the health examinations is to interpret the health examination results. Continuously interpreting numerous health examination results of healthcare receivers is tedious and error-prone. This paper proposes a clinical decision support system to assist solving above problems. In order to customize the clinical decision support system intuitively and flexibly, this paper also proposes the rule syntax to implement computer-interpretable logic for health examinations. It is our purpose in this paper to describe the methodology of the proposed clinical decision support system. The evaluation was performed by the implementation and execution of decision rules on health examination results and a survey on clinical decision support system users. It reveals the efficiency and user satisfaction of proposed clinical decision support system. Positive impact of clinical data interpretation is also noted.

  3. Summary of the proceedings of the international forum 2016: "Imaging referral guidelines and clinical decision support - how can radiologists implement imaging referral guidelines in clinical routine?"

    PubMed

    2017-02-01

    The International Forum is held once a year by the ESR and its international radiological partner societies with the aim to address and discuss selected subjects of global relevance in radiology. In 2016, the issue of implementing imaging referral guidelines in clinical routine was analysed. The legal environment in the USA requires that after January 1, 2017, physicians must consult government-approved, evidence-based appropriate-use criteria through a clinical decision support system when ordering advanced diagnostic imaging exams. The ESR and the National Decision Support Company are developing "ESR iGuide", a clinical decision support system for European imaging referral guidelines using ESR imaging referral guidelines based on ACR Appropriateness Criteria. In many regions of the world, the situation is different and quite diverse, depending on the specific features of health care systems in different countries, but there are, unlike in the USA and EU, no legal obligations to implement imaging referral guidelines into the clinical practice. Imaging referral guidelines and clinical decision support implementation is a complex issue everywhere and the legal environment surrounding it even more so; how they will be implemented into the clinical practice in different areas of the world needs yet to be decided.

  4. Advances in clinical study of curcumin.

    PubMed

    Yang, Chunfen; Su, Xun; Liu, Anchang; Zhang, Lin; Yu, Aihua; Xi, Yanwei; Zhai, Guangxi

    2013-01-01

    Curcumin has been estimated as a potential agent for many diseases and attracted great attention owing to its various pharmacological activities, including anti-cancer, and anti-inflammatory. Now curcumin is being applied to a number of patients with breast cancer, rheumatoid arthritis, Alzheimer's disease, colorectal cancer, psoriatic, etc. Several clinical trials have stated that curcumin is safe enough and effective. The objective of this article was to summarize the clinical studies of curcumin, and give a reference for future studies.

  5. A clinical decision rule for streptococcal pharyngitis management: An update

    PubMed Central

    Nasirian, Hosain; TarvijEslami, Saeedeh; Matini, Esfandiar; Bayesh, Seyedehsara; Omaraee, Yasaman

    2017-01-01

    PURPOSE: Group A streptococcal (GAS) pharyngitis is a common disease worldwide. We aimed to establish a pragmatic program as a clinical decision rule for GAS pharyngitis diagnosis. MATERIALS AND METHODS: This article derived from a research project on children aged 6–15 years. Five hundred and seventy-one children met the enrollment criteria on whom throat culture and validities of clinical findings were assessed in positive and negative throat culture groups. RESULTS: Positive GAS throat culture group included 99 (17.3%) patients with a positive culture. Negative GAS throat culture group included 472 (82.6%) patients. Exudate or enlarged tender nodes each one had 63% and 68% sensitivity and 31.5% and 37.5% specificity with a high percentage of negative predictive value (NPV) 80.54% and 85.09%, respectively. Sequence test revealed validities of exudate plus enlarged nodes at 43.62% sensitivity and 57.19% specificity with 83% NPV. CONCLUSIONS: High NPV of 83% indicated that similar prevalence in the absence of either exudate or enlarged tender lymph nodes. Probability of GAS negative throat cultures among children suspected of GAS pharyngitis was 83% and would correctly not receive inopportune antibiotics. PMID:28367027

  6. Clinical Decision Support Systems (CDSS) in GRID Environments.

    PubMed

    Blanquer, Ignacio; Hernández, Vicente; Segrelles, Damià; Robles, Montserrat; García, Juan Miguel; Robledo, Javier Vicente

    2005-01-01

    This paper presents an architecture defined for searching and executing Clinical Decision Support Systems (CDSS) in a LCG2/GT2 Grid environment, using web-based protocols. A CDSS is a system that provides a classification of the patient illness according to the knowledge extracted from clinical practice and using the patient's information in a structured format. The CDSS classification engines can be installed in any site and can be used by different medical users from a Virtual Organization (VO). All users in a VO can consult and execute different classification engines that have been installed in the Grid independently of the platform, architecture or site where the engines are installed or the users are located. The present paper present a solution to requirements such as short-job execution, reducing the response delay on LCG2 environments and providing grid-enabled authenticated access through web portals. Resource discovering and job submission is performed through web services, which are also described in the article.

  7. Non-clinical influences on clinical decision-making: a major challenge to evidence-based practice

    PubMed Central

    Hajjaj, FM; Salek, MS; Basra, MKA; Finlay, AY

    2010-01-01

    Summary This article reviews an aspect of daily clinical practice which is of critical importance in virtually every clinical consultation, but which is seldom formally considered. Non-clinical influences on clinical decision-making profoundly affect medical decisions. These influences include patient-related factors such as socioeconomic status, quality of life and patient's expectations and wishes, physician-related factors such as personal characteristics and interaction with their professional community, and features of clinical practice such as private versus public practice as well as local management policies. This review brings together the different strands of knowledge concerning non-clinical influences on clinical decision-making. This aspect of decision-making may be the biggest obstacle to the reality of practising evidence-based medicine. It needs to be understood in order to develop clinical strategies that will facilitate the practice of evidence-based medicine. PMID:20436026

  8. InformedTogether: Usability Evaluation of a Web-Based Decision Aid to Facilitate Shared Advance Care Planning for Severe Chronic Obstructive Pulmonary Disease

    PubMed Central

    Uhler, Lauren M; Pérez Figueroa, Rafael E; Dickson, Mark; McCullagh, Lauren; Kushniruk, Andre; Monkman, Helen; Witteman, Holly O

    2015-01-01

    Background Advance care planning may help patients receive treatments that better align with their goals for care. We developed a Web-based decision aid called InformedTogether to facilitate shared advance care planning between chronic obstructive pulmonary disease (COPD) patients and their doctors. Objective Our objective was to assess the usability of the InformedTogether decision aid, including whether users could interact with the decision aid to engage in tasks required for shared decision making, whether users found the decision aid acceptable, and implications for redesign. Methods We conducted an observational study with 15 patients and 8 doctors at two ethnically and socioeconomically diverse outpatient clinics. Data included quantitative and qualitative observations of patients and doctors using the decision aid on tablet or laptop computers and data from semistructured interviews. Patients were shown the decision aid by a researcher acting as the doctor. Pulmonary doctors were observed using the decision aid independently and asked to think aloud (ie, verbalize their thoughts). A thematic analysis was implemented to explore key issues related to decision aid usability. Results Although patients and doctors found InformedTogether acceptable and would recommend that doctors use the decision aid with COPD patients, many patients had difficulty understanding the icon arrays that were used to communicate estimated prognoses and could not articulate the definitions of the two treatment choices—Full Code and Do Not Resuscitate (DNR). Minor usability problems regarding content, links, layout, and consistency were also identified and corresponding recommendations were outlined. In particular, participants suggested including more information about potential changes in quality of life resulting from the alternative advance directives. Some doctor participants thought the decision aid was too long and some thought it may cause nervousness among patients due to

  9. Defining features of advance directives in law and clinical practice.

    PubMed

    Olick, Robert S

    2012-01-01

    In the > 30 years since the New Jersey Supreme Court's seminal opinion in the case of Karen Ann Quinlan, all 50 states and the District of Columbia have enacted legislation to recognize the legal right of competent adults to write advance directives. The purpose of advance directives is to provide direction for health-care decisions near the end of life, when the ravages of illness, disease, or injury have taken the ability to decide for one's self. This article reviews the defining features of advance directives and the governing law, discusses some common practical concerns regarding the use and effectiveness of advance directives, and identifies several significant ethical-legal challenges for honoring advance directives at the bedside. With a primary focus on the health-care proxy, the anatomy of advance directives is analyzed under four general rubrics: formal requirements, decisional capacity and when the directive takes effect, rights and responsibilities of proxies and health-care providers, and the scope and limitations of decisions to forego life-sustaining treatment. There is much common ground among state laws, but particular legal provisions may vary from state to state. Physicians, nurses, social workers, and other health-care professionals should be familiar with the law of their home state.

  10. Using Data Mining Strategies in Clinical Decision Making: A Literature Review.

    PubMed

    Chen, Lu-Yen A; Fawcett, Tonks N

    2016-10-01

    Several data-mining models have been embedded in the clinical environment to improve decision making and patient safety. Consequently, it is crucial to survey the principal data-mining strategies currently used in clinical decision making and to determine the disadvantages and advantages of using these strategies in data mining in clinical decision making. A literature review was conducted, which identified 21 relevant articles. The article findings showed that multiple models of data mining were used in clinical decision making. Although data mining is efficient and accurate, the models are limited with respect to disease and condition.

  11. Creating and sharing clinical decision support content with Web 2.0: Issues and examples.

    PubMed

    Wright, Adam; Bates, David W; Middleton, Blackford; Hongsermeier, Tonya; Kashyap, Vipul; Thomas, Sean M; Sittig, Dean F

    2009-04-01

    Clinical decision support is a powerful tool for improving healthcare quality and patient safety. However, developing a comprehensive package of decision support interventions is costly and difficult. If used well, Web 2.0 methods may make it easier and less costly to develop decision support. Web 2.0 is characterized by online communities, open sharing, interactivity and collaboration. Although most previous attempts at sharing clinical decision support content have worked outside of the Web 2.0 framework, several initiatives are beginning to use Web 2.0 to share and collaborate on decision support content. We present case studies of three efforts: the Clinfowiki, a world-accessible wiki for developing decision support content; Partners Healthcare eRooms, web-based tools for developing decision support within a single organization; and Epic Systems Corporation's Community Library, a repository for sharing decision support content for customers of a single clinical system vendor. We evaluate the potential of Web 2.0 technologies to enable collaborative development and sharing of clinical decision support systems through the lens of three case studies; analyzing technical, legal and organizational issues for developers, consumers and organizers of clinical decision support content in Web 2.0. We believe the case for Web 2.0 as a tool for collaborating on clinical decision support content appears strong, particularly for collaborative content development within an organization.

  12. Exploring the Utility of Advanced Placement Participation and Performance in College Admission Decisions

    ERIC Educational Resources Information Center

    Shaw, Emily J.; Marini, Jessica P.; Mattern, Krista D.

    2013-01-01

    The current study evaluated the relationship between various operationalizations of the Advanced Placement[R] (AP) exam and course information with first-year grade point average (FYGPA) in college to better understand the role of AP in college admission decisions. In particular, the incremental validity of the different AP variables, above…

  13. Factors Influencing Women's Decisions to Enroll in Advanced Mathematics Courses. Final Report.

    ERIC Educational Resources Information Center

    Stallings, Jane; Robertson, Anne

    This study was designed to identify the factors that relate to the decisions of females in secondary education to elect or decline advanced instruction in mathematics. The final sample included 91 classrooms in 11 high schools, with the focus of the investigation upon 489 students in 22 geometry classes. The findings indicate that the most…

  14. Lung Cancer Clinical Trials: Advances in Immunotherapy

    Cancer.gov

    New treatments for lung cancer and aspects of joining a clinical trial are discussed in this 30-minute Facebook Live event, hosted by NCI’s Dr. Shakun Malik, head of thoracic oncology therapeutics, and Janet Freeman-Daily, lung cancer patient activist and founding member of #LCSM.

  15. Advances take stage - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    Regulatory advances in proteomics will be taking center stage at a Symposia scheduled to occur at the 2011 American Association for Clinical Chemistry (AACC) Annual Meeting. The symposium entitled "Enabling Translational Proteomics with NCI's Clinical Proteomic Technologies for Cancer" is scheduled for July 25, 2011 at AACC's annual Meeting.

  16. StrandAdvantage test for early-line and advanced-stage treatment decisions in solid tumors.

    PubMed

    Sen, Manimala; Katragadda, Shanmukh; Ravichandran, Aarthi; Deshpande, Gouri; Parulekar, Minothi; Nayanala, Swetha; Vittal, Vikram; Shen, Weiming; Phooi Nee Yong, Melanie; Jacob, Jemima; Parchuru, Sravanthi; Dhanuskodi, Kalpana; Eyring, Kenneth; Agrawal, Pooja; Agarwal, Smita; Shanmugam, Ashwini; Gupta, Satish; Vishwanath, Divya; Kumari, Kiran; Hariharan, Arun K; Balaji, Sai A; Liang, Qiaoling; Robolledo, Belen; Gauribidanur Raghavendrachar, Vijayashree; Oomer Farooque, Mohammed; Buresh, Cary J; Ramamoorthy, Preveen; Bahadur, Urvashi; Subramanian, Kalyanasundaram; Hariharan, Ramesh; Veeramachaneni, Vamsi; Sankaran, Satish; Gupta, Vaijayanti

    2017-04-03

    Comprehensive genetic profiling of tumors using next-generation sequencing (NGS) is gaining acceptance for guiding treatment decisions in cancer care. We designed a cancer profiling test combining both deep sequencing and immunohistochemistry (IHC) of relevant cancer targets to aid therapy choices in both standard-of-care (SOC) and advanced-stage treatments for solid tumors. The SOC report is provided in a short turnaround time for four tumors, namely lung, breast, colon, and melanoma, followed by an investigational report. For other tumor types, an investigational report is provided. The NGS assay reports single-nucleotide variants (SNVs), copy number variations (CNVs), and translocations in 152 cancer-related genes. The tissue-specific IHC tests include routine and less common markers associated with drugs used in SOC settings. We describe the standardization, validation, and clinical utility of the StrandAdvantage test (SA test) using more than 250 solid tumor formalin-fixed paraffin-embedded (FFPE) samples and control cell line samples. The NGS test showed high reproducibility and accuracy of >99%. The test provided relevant clinical information for SOC treatment as well as more information related to investigational options and clinical trials for >95% of advanced-stage patients. In conclusion, the SA test comprising a robust and accurate NGS assay combined with clinically relevant IHC tests can detect somatic changes of clinical significance for strategic cancer management in all the stages.

  17. Clinical Decision Support Systems for the Practice of Evidence-based Medicine

    PubMed Central

    Sim, Ida; Gorman, Paul; Greenes, Robert A.; Haynes, R. Brian; Kaplan, Bonnie; Lehmann, Harold; Tang, Paul C.

    2001-01-01

    Background: The use of clinical decision support systems to facilitate the practice of evidence-based medicine promises to substantially improve health care quality. Objective: To describe, on the basis of the proceedings of the Evidence and Decision Support track at the 2000 AMIA Spring Symposium, the research and policy challenges for capturing research and practice-based evidence in machine-interpretable repositories, and to present recommendations for accelerating the development and adoption of clinical decision support systems for evidence-based medicine. Results: The recommendations fall into five broad areas—capture literature-based and practice-based evidence in machine-interpretable knowledge bases; develop maintainable technical and methodological foundations for computer-based decision support; evaluate the clinical effects and costs of clinical decision support systems and the ways clinical decision support systems affect and are affected by professional and organizational practices; identify and disseminate best practices for work flow–sensitive implementations of clinical decision support systems; and establish public policies that provide incentives for implementing clinical decision support systems to improve health care quality. Conclusions: Although the promise of clinical decision support system–facilitated evidence-based medicine is strong, substantial work remains to be done to realize the potential benefits. PMID:11687560

  18. WESVA: A decision aid for comparing warhead advanced surety R&D options

    SciTech Connect

    Homsy, R.V.; Sicherman, A.; Stephens, D.R.

    1993-10-01

    Newly designed warheads that incorporate advanced surety concepts can reduce the risks of accidental radiological material dispersal, nuclear detonation, and unauthorized use. But these potential surety benefits entail cost and performance penalties. Present constraints on R&D budgets, time, and allowable nuclear tests also create significant uncertainties as to whether new concepts can be successfully developed and implemented. These factors complicate the decisions involved in selecting surety concepts for more extensive R&D. To help decision makers compare R&D options, we developed a decision aid called Weapon Safety Value Assessment (WESVA). This paper describes WESVA and suggests how a WESVA-like approach can be of interest in other decision-making contexts.

  19. Clinical Research Informatics: Recent Advances and Future Directions

    PubMed Central

    2015-01-01

    Summary Objectives To summarize significant developments in Clinical Research Informatics (CRI) over the past two years and discuss future directions. Methods Survey of advances, open problems and opportunities in this field based on exploration of current literature. Results Recent advances are structured according to three use cases of clinical research: Protocol feasibility, patient identification/recruitment and clinical trial execution. Discussion CRI is an evolving, dynamic field of research. Global collaboration, open metadata, content standards with semantics and computable eligibility criteria are key success factors for future developments in CRI. PMID:26293865

  20. Applying a family systems lens to proxy decision making in clinical practice and research.

    PubMed

    Rolland, John S; Emanuel, Linda L; Torke, Alexia M

    2017-03-01

    When patients are incapacitated and face serious illness, family members must make medical decisions for the patient. Medical decision sciences give only modest attention to the relationships among patients and their family members, including impact that these relationships have on the decision-making process. A review of the literature reveals little effort to systematically apply a theoretical framework to the role of family interactions in proxy decision making. A family systems perspective can provide a useful lens through which to understand the dynamics of proxy decision making. This article considers the mutual impact of family systems on the processes and outcomes of proxy decision making. The article first reviews medical decision science's evolution and focus on proxy decision making and then reviews a family systems approach, giving particular attention to Rolland's Family Systems Illness Model. A case illustrates how clinical practice and how research would benefit from bringing family systems thinking to proxy decisions. We recommend including a family systems approach in medical decision science research and clinical practices around proxy decisions making. We propose that clinical decisions could be less conflicted and less emotionally troubling for families and clinicians if family systems approaches were included. This perspective opens new directions for research and novel approaches to clinical care. (PsycINFO Database Record

  1. 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…

  2. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

    PubMed Central

    Kawamoto, Kensaku; Houlihan, Caitlin A; Balas, E Andrew; Lobach, David F

    2005-01-01

    Objective To identify features of clinical decision support systems critical for improving clinical practice. Design Systematic review of randomised controlled trials. Data sources Literature searches via Medline, CINAHL, and the Cochrane Controlled Trials Register up to 2003; and searches of reference lists of included studies and relevant reviews. Study selection Studies had to evaluate the ability of decision support systems to improve clinical practice. Data extraction Studies were assessed for statistically and clinically significant improvement in clinical practice and for the presence of 15 decision support system features whose importance had been repeatedly suggested in the literature. Results Seventy studies were included. Decision support systems significantly improved clinical practice in 68% of trials. Univariate analyses revealed that, for five of the system features, interventions possessing the feature were significantly more likely to improve clinical practice than interventions lacking the feature. Multiple logistic regression analysis identified four features as independent predictors of improved clinical practice: automatic provision of decision support as part of clinician workflow (P < 0.00001), provision of recommendations rather than just assessments (P = 0.0187), provision of decision support at the time and location of decision making (P = 0.0263), and computer based decision support (P = 0.0294). Of 32 systems possessing all four features, 30 (94%) significantly improved clinical practice. Furthermore, direct experimental justification was found for providing periodic performance feedback, sharing recommendations with patients, and requesting documentation of reasons for not following recommendations. Conclusions Several features were closely correlated with decision support systems' ability to improve patient care significantly. Clinicians and other stakeholders should implement clinical decision support systems that incorporate these

  3. Bioinformatics Methods and Tools to Advance Clinical Care

    PubMed Central

    Lecroq, T.

    2015-01-01

    Summary Objectives To summarize excellent current research in the field of Bioinformatics and Translational Informatics with application in the health domain and clinical care. Method We provide a synopsis of the articles selected for the IMIA Yearbook 2015, from which we attempt to derive a synthetic overview of current and future activities in the field. As last year, a first step of selection was performed by querying MEDLINE with a list of MeSH descriptors completed by a list of terms adapted to the section. Each section editor has evaluated separately the set of 1,594 articles and the evaluation results were merged for retaining 15 articles for peer-review. Results The selection and evaluation process of this Yearbook’s section on Bioinformatics and Translational Informatics yielded four excellent articles regarding data management and genome medicine that are mainly tool-based papers. In the first article, the authors present PPISURV a tool for uncovering the role of specific genes in cancer survival outcome. The second article describes the classifier PredictSNP which combines six performing tools for predicting disease-related mutations. In the third article, by presenting a high-coverage map of the human proteome using high resolution mass spectrometry, the authors highlight the need for using mass spectrometry to complement genome annotation. The fourth article is also related to patient survival and decision support. The authors present datamining methods of large-scale datasets of past transplants. The objective is to identify chances of survival. Conclusions The current research activities still attest the continuous convergence of Bioinformatics and Medical Informatics, with a focus this year on dedicated tools and methods to advance clinical care. Indeed, there is a need for powerful tools for managing and interpreting complex, large-scale genomic and biological datasets, but also a need for user-friendly tools developed for the clinicians in their

  4. Clinical Decision Support for Early Recognition of Sepsis

    PubMed Central

    Amland, Robert C.; Hahn-Cover, Kristin E.

    2014-01-01

    Sepsis is an inflammatory response triggered by infection, with a high in-hospital mortality rate. Early recognition and treatment can reverse the inflammatory response, with evidence of improved patient outcomes. One challenge clinicians face is identifying the inflammatory syndrome against the background of the patient’s infectious illness and comorbidities. An approach to this problem is implementation of computerized early warning tools for sepsis. This multicenter retrospective study sought to determine clinimetric performance of a cloud-based computerized sepsis clinical decision support system (CDS), understand the epidemiology of sepsis, and identify opportunities for quality improvement. Data encompassed 6200 adult hospitalizations from 2012 through 2013. Of 13% patients screened-in, 51% were already suspected to have an infection when the system activated. This study focused on a patient cohort screened-in before infection was suspected; median time from arrival to CDS activation was 3.5 hours, and system activation to diagnostic collect was another 8.6 hours. PMID:25385815

  5. Issues of trust and ethics in computerized clinical decision support systems.

    PubMed

    Alexander, Gregory L

    2006-01-01

    Clinical decision support systems are computer technologies that model and provide support for human decision-making processes. Decision support mechanisms facilitate and enhance a clinician's ability to make decisions at the point of care. Decisions are facilitated through technology by using automated mechanisms that provide alerts or messages to clinicians about a potential patient problem. A clinician's level of trust in these technologies to support decision making is affected by how knowledge is represented in these tools, their ability to make reasonable decisions, and how they are designed. Furthermore, ethical tensions occur if these systems do not promote standards, if clinicians do not understand how to use these systems, and when professional relationships are affected. Issues of trust and ethical concerns will be examined in this article, using a research study of midwestern nursing homes that implemented a clinical decision support system.

  6. Randomized Controlled Trial of a Video Decision Support Tool for Cardiopulmonary Resuscitation Decision Making in Advanced Cancer

    PubMed Central

    Volandes, Angelo E.; Paasche-Orlow, Michael K.; Mitchell, Susan L.; El-Jawahri, Areej; Davis, Aretha Delight; Barry, Michael J.; Hartshorn, Kevan L.; Jackson, Vicki Ann; Gillick, Muriel R.; Walker-Corkery, Elizabeth S.; Chang, Yuchiao; López, Lenny; Kemeny, Margaret; Bulone, Linda; Mann, Eileen; Misra, Sumi; Peachey, Matt; Abbo, Elmer D.; Eichler, April F.; Epstein, Andrew S.; Noy, Ariela; Levin, Tomer T.; Temel, Jennifer S.

    2013-01-01

    Purpose Decision making regarding cardiopulmonary resuscitation (CPR) is challenging. This study examined the effect of a video decision support tool on CPR preferences among patients with advanced cancer. Patients and Methods We performed a randomized controlled trial of 150 patients with advanced cancer from four oncology centers. Participants in the control arm (n = 80) listened to a verbal narrative describing CPR and the likelihood of successful resuscitation. Participants in the intervention arm (n = 70) listened to the identical narrative and viewed a 3-minute video depicting a patient on a ventilator and CPR being performed on a simulated patient. The primary outcome was participants' preference for or against CPR measured immediately after exposure to either modality. Secondary outcomes were participants' knowledge of CPR (score range of 0 to 4, with higher score indicating more knowledge) and comfort with video. Results The mean age of participants was 62 years (standard deviation, 11 years); 49% were women, 44% were African American or Latino, and 47% had lung or colon cancer. After the verbal narrative, in the control arm, 38 participants (48%) wanted CPR, 41 (51%) wanted no CPR, and one (1%) was uncertain. In contrast, in the intervention arm, 14 participants (20%) wanted CPR, 55 (79%) wanted no CPR, and 1 (1%) was uncertain (unadjusted odds ratio, 3.5; 95% CI, 1.7 to 7.2; P < .001). Mean knowledge scores were higher in the intervention arm than in the control arm (3.3 ± 1.0 v 2.6 ± 1.3, respectively; P < .001), and 65 participants (93%) in the intervention arm were comfortable watching the video. Conclusion Participants with advanced cancer who viewed a video of CPR were less likely to opt for CPR than those who listened to a verbal narrative. PMID:23233708

  7. Using evidence-based algorithms to improve clinical decision making: the case of a first-time anterior shoulder dislocation.

    PubMed

    Federer, Andrew E; Taylor, Dean C; Mather, Richard C

    2013-09-01

    Decision making in health care has evolved substantially over the last century. Up until the late 1970s, medical decision making was predominantly intuitive and anecdotal. It was based on trial and error and involved high levels of problem solving. The 1980s gave way to empirical medicine, which was evidence based probabilistic, and involved pattern recognition and less problem solving. Although this represented a major advance in the quality of medical decision making, limitations existed. The advantages of the gold standard of the randomized controlled clinical trial (RCT) are well-known and this technique is irreplaceable in its ability to answer critical clinical questions. However, the RCT does have drawbacks. RCTs are expensive and can only capture a snapshot in time. As treatments change and new technologies emerge, new expensive clinical trials must be undertaken to reevaluate them. Furthermore, in order to best evaluate a single intervention, other factors must be controlled. In addition, the study population may not match that of another organization or provider. Although evidence-based medicine has provided powerful data for clinicians, effectively and efficiently tailoring it to the individual has not yet evolved. We are now in a period of transition from this evidence-based era to one dominated by the personalization and customization of care. It will be fueled by policy decisions to shift financial responsibility to the patient, creating a powerful and sophisticated consumer, unlike any patient we have known before. The challenge will be to apply medical evidence and personal preferences to medical decisions and deliver it efficiently in the increasingly busy clinical setting. In this article, we provide a robust review of the concepts of customized care and some of techniques to deliver it. We will illustrate this through a personalized decision model for the treatment decision after a first-time anterior shoulder dislocation.

  8. Clinically relevant advances in rheumatoid arthritis therapy.

    PubMed

    Müller-Ladner, Ulf; Neumann, Elena; Tarner, Ingo H

    2009-09-14

    Owing to the success of biologics in the treatment of rheumatoid arthritis (RA), several novel drugs have been introduced in the therapeutic armamentarium, although not all of them have been approved in all countries worldwide. Among the drugs are tumour necrosis factor (TNF) inhibitors such as certolizumab pegol and golimumab (the latter of which was the first TNF blocker shown to be effective in patients who had been unsuccessfully treated with other TNF blockers and which can be applied only once a month), and the interleukin-6 receptor antagonist tocilizumab, which not only opens up a completely new field of anti-inflammatory modulation of RA pathophysiology, but also highlights the challenge of novel potential side effects. Moreover, aside from clinical studies showing efficacy in the inhibition of osteoclast activation by the anti-RANKL (receptor activator of nuclear factor-kappa B ligand) antibody denosumab, an improved form of steroid application known as slow-release 'tempus tablet' for treatment of RA and several developments in the small-molecule area have been addressed by clinical trials.

  9. Population-based clinical decision support: a clinical and economic evaluation.

    PubMed

    Eisenstein, Eric L; Anstrom, Kevin J; Edwards, Rex; Willis, Janese M; Simo, Jessica; Lobach, David F

    2012-01-01

    Governments are investing in health information technologies (HIT) to improve care quality and reduce medical costs. However, evidence of these benefits is limited. We conducted a randomized trial of three clinical decision support (CDS) interventions in 20,180 patients: email to care managers (n=3329), reports to primary care administrators (n=3368), letters to patients (n=3401), and controls (10,082). At 7-month follow-up, the letters to patients group had greater use of outpatient services and higher outpatient and total medical costs; whereas, the other groups had no change in clinical events or medical costs. As our CDS interventions were associated with no change or an increase in medical costs, it appears that investments in HIT without consideration for organizational context may not be sufficient to achieve improvements in clinical and economic outcomes.

  10. Analysis of Community Practice Clinical Decision-Making Skills in Pharmacy Students.

    ERIC Educational Resources Information Center

    Greer, Marianne L.; Kirk, Kenneth W.

    1988-01-01

    A computerized, simulation-based instrument, consisting of four community practice clinical scenarios, collected information-searching data and the students' decisions. The appropriateness of the decisions, assessed by three clinical judges, and the focus of information search, based on the computer-collected process data, were the dependent…

  11. Patients' Perceptions and Experiences of Shared Decision-Making in Primary HIV Care Clinics.

    PubMed

    Fuller, Shannon M; Koester, Kimberly A; Guinness, Ryan R; Steward, Wayne T

    Shared decision-making (SDM) is considered best practice in health care. Prior studies have explored attitudes and barriers/facilitators to SDM, with few specific to HIV care. We interviewed 53 patients in HIV primary care clinics in California to understand the factors and situations that may promote or hinder engagement in SDM. Studies in other populations have found that patients' knowledge about their diseases and their trust in providers facilitated SDM. We found these features to be more nuanced for HIV. Perceptions of personal agency, knowledge about one's disease, and trust in provider were factors that could work for or against SDM. Overall, we found that participants described few experiences of SDM, especially among those with no comorbidities. Opportunities for SDM in routine HIV care (e.g., determining antiretroviral therapy) may arise infrequently because of treatment advances. These findings yield considerations for adapting SDM to fit the context of HIV care.

  12. Partnering With Your Health System to Select and Implement Clinical Decision Support for Imaging.

    PubMed

    Jensen, Jeff D; Durand, Daniel J

    2017-02-01

    Recent legislation mandates the documentation of appropriateness criteria consultation when ordering advanced imaging for Medicare patients to remain eligible for reimbursement. Implementation of imaging clinical decision support (CDS) is a solution adopted by many systems to automate compliance with the new requirements. This article is intended to help radiologists who are employed by, contracted with, or otherwise affiliated with systems planning to implement CDS in the near future and ensure that they are able to understand and contribute to the process wherever possible. It includes an in-depth discussion of the legislation, evidence for and against the efficacy of imaging CDS, considerations for selecting a CDS vendor, tips for configuring CDS in a fashion consistent with departmental goals, and pointers for implementation and change management.

  13. Advances in Clinical PET/MRI Instrumentation.

    PubMed

    Herzog, Hans; Lerche, Christoph

    2016-04-01

    In 2010, the first whole-body PET/MRI scanners installed for clinical use were the sequential Philips PET/MRI with PMT-based, TOF-capable technology and the integrated simultaneous Siemens PET/MRI. Avalanche photodiodes as non-magneto-sensitive readout electronics allowed PET integrated within the MRI. The experiences with these scanners showed that improvements of software aspects, such as attenuation correction, were necessary and that efficient protocols combining optimally PET and MRI must be still developed. In 2014, General Electric issued an integrated PET/MRI with SiPM-based PET detectors, allowing TOF-PET. Looking at the MRI components of current PET/MR imaging systems, primary improvements come from sequences and new coils.

  14. Advance modern medicine with clinical case reports

    PubMed Central

    2014-01-01

    Randomized clinical trial (RCT) can fail to demonstrate the richness of individual patient characteristics. Given the unpredictable nature of medicine, a patient may present in an unusual way, have a strange new pathology, or react to a medical intervention in a manner not seen before. The publication of these novelties as case reports is a fundamental way of conveying medical knowledge. Throughout history there have been famous case studies that shaped the way we view health and disease. Case reports can have the following functions: (I) descriptions of new diseases; (II) study of mechanisms; (III) discovery new therapies; (IV) recognition of side effects; and (V) education. Before submitting a case report, it is worthwhile to refer to the Case Report Check Sheet described by Green and Johnson [2006]. PMID:25525572

  15. Advances in Clinical Management of Eosinophilic Esophagitis

    PubMed Central

    Dellon, Evan S.; Liacouras, Chris A.

    2014-01-01

    EoE is a chronic immune/antigen-mediated clinicopathologic condition that has become an increasingly important cause of upper gastrointestinal morbidity in adults and children over the past 2 decades. It is diagnosed based on symptoms of esophageal dysfunction, the presence of at least 15 eosinophils/high-power field in esophageal biopsies, and exclusion of competing causes of esophageal eosinophilia, including proton pump inhibitor-responsive esophageal eosinophilia (PPI-REE). We review what we have recently learned about the clinical aspects of EoE, discussing the clinical, endoscopic, and histologic features of EoE in adults and children. We explain the current diagnostic criteria and challenges to diagnosis, including the role of gastroesophageal reflux disease and PPI-REE. It is also important to consider the epidemiology of EoE (current incidence of 1/10,000 new cases per year and prevalence of 0.5-1/1,000 cases per year) and disease progression. We review the main treatment approaches and new treatment options; EoE can be treated with topical corticosteroids such as fluticasone and budesonide, or dietary strategies, such as amino acid-based formulas, allergy test-directed elimination diets, and non-directed empiric elimination diets. Endoscopic dilation has also become an important tool for treatment of fibrostenostic complications of EoE. There are number of unresolved issues in EoE, including phenotypes, optimal treatment endpoints, the role of maintenance therapy, and treatment of refractory EoE. The care of patients with EoE and the study of the disease span many disciplines—EoE is ideally managed by a multidisciplinary team of gastroenterologists, allergists, pathologists, and dieticians. PMID:25109885

  16. Clinical decision support for drug related events: Moving towards better prevention

    PubMed Central

    Kane-Gill, Sandra L; Achanta, Archita; Kellum, John A; Handler, Steven M

    2016-01-01

    Clinical decision support (CDS) systems with automated alerts integrated into electronic medical records demonstrate efficacy for detecting medication errors (ME) and adverse drug events (ADEs). Critically ill patients are at increased risk for ME, ADEs and serious negative outcomes related to these events. Capitalizing on CDS to detect ME and prevent adverse drug related events has the potential to improve patient outcomes. The key to an effective medication safety surveillance system incorporating CDS is advancing the signals for alerts by using trajectory analyses to predict clinical events, instead of waiting for these events to occur. Additionally, incorporating cutting-edge biomarkers into alert knowledge in an effort to identify the need to adjust medication therapy portending harm will advance the current state of CDS. CDS can be taken a step further to identify drug related physiological events, which are less commonly included in surveillance systems. Predictive models for adverse events that combine patient factors with laboratory values and biomarkers are being established and these models can be the foundation for individualized CDS alerts to prevent impending ADEs. PMID:27896144

  17. SANDS: a service-oriented architecture for clinical decision support in a National Health Information Network.

    PubMed

    Wright, Adam; Sittig, Dean F

    2008-12-01

    In this paper, we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. The SANDS architecture for decision support has several significant advantages over other architectures for clinical decision support. The most salient of these are:

  18. Analytical Protein Microarrays: Advancements Towards Clinical Applications

    PubMed Central

    Sauer, Ursula

    2017-01-01

    Protein microarrays represent a powerful technology with the potential to serve as tools for the detection of a broad range of analytes in numerous applications such as diagnostics, drug development, food safety, and environmental monitoring. Key features of analytical protein microarrays include high throughput and relatively low costs due to minimal reagent consumption, multiplexing, fast kinetics and hence measurements, and the possibility of functional integration. So far, especially fundamental studies in molecular and cell biology have been conducted using protein microarrays, while the potential for clinical, notably point-of-care applications is not yet fully utilized. The question arises what features have to be implemented and what improvements have to be made in order to fully exploit the technology. In the past we have identified various obstacles that have to be overcome in order to promote protein microarray technology in the diagnostic field. Issues that need significant improvement to make the technology more attractive for the diagnostic market are for instance: too low sensitivity and deficiency in reproducibility, inadequate analysis time, lack of high-quality antibodies and validated reagents, lack of automation and portable instruments, and cost of instruments necessary for chip production and read-out. The scope of the paper at hand is to review approaches to solve these problems. PMID:28146048

  19. Analytical Protein Microarrays: Advancements Towards Clinical Applications.

    PubMed

    Sauer, Ursula

    2017-01-29

    Protein microarrays represent a powerful technology with the potential to serve as tools for the detection of a broad range of analytes in numerous applications such as diagnostics, drug development, food safety, and environmental monitoring. Key features of analytical protein microarrays include high throughput and relatively low costs due to minimal reagent consumption, multiplexing, fast kinetics and hence measurements, and the possibility of functional integration. So far, especially fundamental studies in molecular and cell biology have been conducted using protein microarrays, while the potential for clinical, notably point-of-care applications is not yet fully utilized. The question arises what features have to be implemented and what improvements have to be made in order to fully exploit the technology. In the past we have identified various obstacles that have to be overcome in order to promote protein microarray technology in the diagnostic field. Issues that need significant improvement to make the technology more attractive for the diagnostic market are for instance: too low sensitivity and deficiency in reproducibility, inadequate analysis time, lack of high-quality antibodies and validated reagents, lack of automation and portable instruments, and cost of instruments necessary for chip production and read-out. The scope of the paper at hand is to review approaches to solve these problems.

  20. Surrogate decision making: reconciling ethical theory and clinical practice.

    PubMed

    Berger, Jeffrey T; DeRenzo, Evan G; Schwartz, Jack

    2008-07-01

    The care of adult patients without decision-making abilities is a routine part of medical practice. Decisions for these patients are typically made by surrogates according to a process governed by a hierarchy of 3 distinct decision-making standards: patients' known wishes, substituted judgments, and best interests. Although this framework offers some guidance, it does not readily incorporate many important considerations of patients and families and does not account for the ways in which many patients and surrogates prefer to make decisions. In this article, the authors review the research on surrogate decision making, compare it with normative standards, and offer ways in which the 2 can be reconciled for the patient's benefit.

  1. Construction of databases: advances and significance in clinical research.

    PubMed

    Long, Erping; Huang, Bingjie; Wang, Liming; Lin, Xiaoyu; Lin, Haotian

    2015-12-01

    Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the definition, classification, and establishment of databases. Afterward, the workflow for establishing databases, inputting data, verifying data, and managing databases is presented. Meanwhile, by discussing the application of databases in clinical research, we illuminate the important role of databases in clinical research practice. Lastly, we introduce the reanalysis of randomized controlled trials (RCTs) and cloud computing techniques, showing the most recent advancements of databases in clinical research.

  2. Assessing the sensibility of two clinical decision support systems.

    PubMed

    Graham, Timothy A D; Bullard, Michael J; Kushniruk, Andre W; Holroyd, Brian R; Rowe, Brian H

    2008-10-01

    Clinicians in Emergency Medicine (EM) are increasingly exposed to guidelines and treatment recommendations. To help access and recall these recommendations, electronic Clinical Decision Support Systems (CDSS) have been developed. This study examined the use and sensibility of two CDSS designed for emergency physicians. CDDS for community acquired pneumonia (CAP) and neutropenic fever (NF) were developed by multidisciplinary teams and have been accessed via an intranet-based homepage (eCPG) for several years. Sensibility is a term coined by Feinstein that describes common sense aspects of a survey instrument. It was modified by emergency researchers to include four main headings: (1) Appropriateness; (2) Objectivity; (3) Content; and (4) Discriminative Power. Sensibility surveys were developed using an iterative approach for both the CAP and NF CDSS and distributed to all 25 emergency physicians at one Canadian site. The overall response rate was 88%. Respondents were 88% male and 83% were less than 40; all were attending EM physicians with specialty designations. A number reported never having used the CAP (21%) or NF (33%) CDSS; 54% (CAP) and 21% (NF) of respondents had used the respective CDSS less than 10 times. Overall, both CDSS were rated highly by users with a mean response of 4.95 (SD 0.56) for CAP and 5.62 (SD 0.62) for NF on a seven-point Likert scale. The majority or respondents (CAP 59%, NF 80%) felt that the NF CDSS was more likely than the CAP CDSS to decrease the chances of making a medical error in medication dose, antibiotic choice or patient disposition (4.61 vs. 5.81, p=0.008). Despite being in place for several years, CDSS for CAP and NF are not used by all EM clinicians. Users were generally satisfied with the CDSS and felt that the NF was more likely than the CAP CDSS to decrease medical errors. Additional research is required to determine the barriers to CDSS use.

  3. System-Agnostic Clinical Decision Support Services: Benefits and Challenges for Scalable Decision Support

    PubMed Central

    Kawamoto, Kensaku; Del Fiol, Guilherme; Orton, Charles; Lobach, David F

    2010-01-01

    System-agnostic clinical decision support (CDS) services provide patient evaluation capabilities that are independent of specific CDS systems and system implementation contexts. While such system-agnostic CDS services hold great potential for facilitating the widespread implementation of CDS systems, little has been described regarding the benefits and challenges of their use. In this manuscript, the authors address this need by describing potential benefits and challenges of using a system-agnostic CDS service. This analysis is based on the authors’ formal assessments of, and practical experiences with, various approaches to developing, implementing, and maintaining CDS capabilities. In particular, the analysis draws on the authors’ experience developing and leveraging a system-agnostic CDS Web service known as SEBASTIAN. A primary potential benefit of using a system-agnostic CDS service is the relative ease and flexibility with which the service can be leveraged to implement CDS capabilities across applications and care settings. Other important potential benefits include facilitation of centralized knowledge management and knowledge sharing; the potential to support multiple underlying knowledge representations and knowledge resources through a common service interface; improved simplicity and componentization; easier testing and validation; and the enabling of distributed CDS system development. Conversely, important potential challenges include the increased effort required to develop knowledge resources capable of being used in many contexts and the critical need to standardize the service interface. Despite these challenges, our experiences to date indicate that the benefits of using a system-agnostic CDS service generally outweigh the challenges of using this approach to implementing and maintaining CDS systems. PMID:21603281

  4. System-agnostic clinical decision support services: benefits and challenges for scalable decision support.

    PubMed

    Kawamoto, Kensaku; Del Fiol, Guilherme; Orton, Charles; Lobach, David F

    2010-01-01

    System-agnostic clinical decision support (CDS) services provide patient evaluation capabilities that are independent of specific CDS systems and system implementation contexts. While such system-agnostic CDS services hold great potential for facilitating the widespread implementation of CDS systems, little has been described regarding the benefits and challenges of their use. In this manuscript, the authors address this need by describing potential benefits and challenges of using a system-agnostic CDS service. This analysis is based on the authors' formal assessments of, and practical experiences with, various approaches to developing, implementing, and maintaining CDS capabilities. In particular, the analysis draws on the authors' experience developing and leveraging a system-agnostic CDS Web service known as SEBASTIAN. A primary potential benefit of using a system-agnostic CDS service is the relative ease and flexibility with which the service can be leveraged to implement CDS capabilities across applications and care settings. Other important potential benefits include facilitation of centralized knowledge management and knowledge sharing; the potential to support multiple underlying knowledge representations and knowledge resources through a common service interface; improved simplicity and componentization; easier testing and validation; and the enabling of distributed CDS system development. Conversely, important potential challenges include the increased effort required to develop knowledge resources capable of being used in many contexts and the critical need to standardize the service interface. Despite these challenges, our experiences to date indicate that the benefits of using a system-agnostic CDS service generally outweigh the challenges of using this approach to implementing and maintaining CDS systems.

  5. ADVANCES IN BASIC AND CLINICAL IMMUNOLOGY 2013

    PubMed Central

    Chinen, Javier; Notarangelo, Luigi D.; Shearer, William T.

    2014-01-01

    A significant number of contributions to our understanding of primary immunodeficiencies in pathogenesis, diagnosis and treatment were published in the Journal in 2013. For example, deficiency of mast cell degranulation due to STAT3 deficiency was demonstrated to contribute to the difference on frequency of severe allergic reactions in AD-HIES patients, compared to atopic individuals with similar high IgE serum levels. High levels of non-glycosylated IgA were found in WAS patients and these abnormal antibodies might contribute to nephropathy in WAS. New described genes causing immunodeficiency included caspase recruitment domain 11 (CARD11), mucosa-associated lymphoid tissue 1 (MALT1) for combined immunodeficiencies, and tetratricopeptide repeat domain 7A (TTC7A) for mutations associated to multiple atresia with combined immunodeficiency. Other observations expand the spectrum of clinical presentation of specific genes. (e.g., adult onset idiopathic T-cell lymphopenia and early onset autoimmunity might be due to hypomorphic mutations of the RAG genes). Newborn screening in California established incidence of SCID at 1/66,250 live births. The use of HSCT for primary immunodeficiencies was reviewed, with recommendations to give priority to research oriented to establish best regimens to improve safety and efficacy of bone marrow transplantation. These represent only a fraction of significant research done in primary immunodeficiencies that has accelerated the quality of care of these patients. Genetic analysis of patients has demonstrated multiple phenotypic expressions of immune deficiency in patients with nearly identical genotypes, suggesting that additional genetic factors, possibly gene dosage, or environmental factors are responsible for this diversity. PMID:24589342

  6. Clinical care paths: a role for finance in clinical decision-making.

    PubMed

    Abrams, Michael N; Cummings, Simone; Hage, Dana

    2012-12-01

    Care paths map the critical actions and decision points across a patient's course of medical treatment; their purpose is to guide physicians in the delivery of high-quality care while reducing care costs by avoiding services that do not contribute meaningfully to positive outcomes. Each care path development initiative should be led by a respected physician champion, whose specialty is in the area of the care episode being mapped, with the support of a clinician project manager. Once the care path has been developed and implemented, the finance leader's role begins in earnest with the tracking of financial and clinical data against care paths.

  7. Representation of Clinical Practice Guidelines in Conventional and Augmented Decision Tables

    PubMed Central

    Shiffman, Richard N.

    1997-01-01

    Abstract Objective: To develop a knowledge representation model for clinical practice guidelines that is linguistically adequate, comprehensible, reusable, and maintainable. Design: Decision tables provide the basic framework for the proposed knowledge representation model. Guideline logic is represented as rules in conventional decision tables. These tables are augmented by layers where collateral information is recorded in slots beneath the logic. Results: Decision tables organize rules into cohesive rule sets wherein complex logic is clarified. Decision table rule sets may be verified to assure completeness and consistency. Optimization and display of rule sets as sequential decision trees may enhance the comprehensibility of the logic. The modularity of the rule formats may facilitate maintenance. The augmentation layers provide links to descriptive language, information sources, decision variable characteristics, costs and expected values of policies, and evidence sources and quality. Conclusion: Augmented decision tables can serve as a unifying knowledge representation for developers and implementers of clinical practice guidelines. PMID:9292844

  8. Symposium on research advances in clinical PET. Final performance report

    SciTech Connect

    J. Michael McGehee

    1992-01-01

    The Institute for Clinical PET and the U.S. Department of Energy (DOE) co-sponsored a symposium entitled 'Research in PET: International and Institutional Perspectives' that highlighted the activities of many leading investigators in the U.S. and throughout the world. Research programs at the DOE were discussed as were potential directions of PET research. International as well as institutional perspectives on PET research were presented. This symposium was successful in reaching those interested in research advances of clinical PET.

  9. The NIAID Division of AIDS enterprise information system: integrated decision support for global clinical research programs.

    PubMed

    Kagan, Jonathan M; Gupta, Nitin; Varghese, Suresh; Virkar, Hemant

    2011-12-01

    The National Institute of Allergy and Infectious Diseases (NIAID) Division of AIDS (DAIDS) Enterprise Information System (DAIDS-ES) is a web-based system that supports NIAID in the scientific, strategic, and tactical management of its global clinical research programs for HIV/AIDS vaccines, prevention, and therapeutics. Different from most commercial clinical trials information systems, which are typically protocol-driven, the DAIDS-ES was built to exchange information with those types of systems and integrate it in ways that help scientific program directors lead the research effort and keep pace with the complex and ever-changing global HIV/AIDS pandemic. Whereas commercially available clinical trials support systems are not usually disease-focused, DAIDS-ES was specifically designed to capture and incorporate unique scientific, demographic, and logistical aspects of HIV/AIDS treatment, prevention, and vaccine research in order to provide a rich source of information to guide informed decision-making. Sharing data across its internal components and with external systems, using defined vocabularies, open standards and flexible interfaces, the DAIDS-ES enables NIAID, its global collaborators and stakeholders, access to timely, quality information about NIAID-supported clinical trials which is utilized to: (1) analyze the research portfolio, assess capacity, identify opportunities, and avoid redundancies; (2) help support study safety, quality, ethics, and regulatory compliance; (3) conduct evidence-based policy analysis and business process re-engineering for improved efficiency. This report summarizes how the DAIDS-ES was conceptualized, how it differs from typical clinical trial support systems, the rationale for key design choices, and examples of how it is being used to advance the efficiency and effectiveness of NIAID's HIV/AIDS clinical research programs.

  10. Microcomputer-Based Expert System for Clinical Decision-Making

    PubMed Central

    Hudson, Donna L.; Estrin, Thelma

    1981-01-01

    A computerized rule-based expert system for chest pain analysis in the emergency room has been developed as a medical decision-making tool. The rules are based on a previously established criteria mapping procedure developed for evaluating emergency room decisions. The system is implemented in PASCAL, a standardized language, and hence is machine-independent, and also has modest memory requirements. The overall design permits usage by those unfamiliar with computers.

  11. Extracting clinical information to support medical decision based on standards.

    PubMed

    Gomoi, Valentin; Vida, Mihaela; Stoicu-Tivadar, Lăcrămioara; Stoicu-Tivadar, Vasile

    2011-01-01

    The paper presents a method connecting medical databases to a medical decision system, and describes a service created to extract the necessary information that is transferred based on standards. The medical decision can be improved based on many inputs from different medical locations. The developed solution is described for a concrete case concerning the management for chronic pelvic pain, based on the information retrieved from diverse healthcare databases.

  12. Advancing the educational and career pathway for clinical trials nurses.

    PubMed

    Scott, Kathleen; White, Kathryn; Roydhouse, Jessica K

    2013-04-01

    Clinical trials nurses play a pivotal role in the conduct of clinical research, but the educational and career pathway for these nurses remains unclear. This article reports findings from a survey of nurses working in cancer clinical trials research in Australia. Most participants held postgraduate qualifications (42 of 61); however, clinical trials education was primarily attained through short professional development courses. Interest in pursuing trial-specific postgraduate education was high, but barriers were identified, including cost, time, and unclear benefit for career advancement. Job titles varied substantially, which is indicative of an unclear employment pathway. These findings suggest that initiatives to improve the educational and career pathway for clinical trials nurses are needed and should include the following: formal educational preparation, greater consistency in employment status, and clearer career progression. These strategies should be underpinned by broad professional recognition of the clinical trials nurse as a specialized nursing role.

  13. A Representation for Gaining Insight into Clinical Decision Models

    PubMed Central

    Jimison, Holly B.

    1988-01-01

    For many medical domains uncertainty and patient preferences are important components of decision making. Decision theory is useful as a representation for such medical models in computer decision aids, but the methodology has typically had poor performance in the areas of explanation and user interface. The additional representation of probabilities and utilities as random variables serves to provide a framework for graphical and text insight into complicated decision models. The approach allows for efficient customization of a generic model that describes the general patient population of interest to a patient- specific model. Monte Carlo simulation is used to calculate the expected value of information and sensitivity for each model variable, thus providing a metric for deciding what to emphasize in the graphics and text summary. The computer-generated explanation includes variables that are sensitive with respect to the decision or that deviate significantly from what is typically observed. These techniques serve to keep the assessment and explanation of the patient's decision model concise, allowing the user to focus on the most important aspects for that patient.

  14. Chest pain for coronary heart disease in general practice: clinical judgement and a clinical decision rule

    PubMed Central

    Haasenritter, Jörg; Donner-Banzhoff, Norbert; Bösner, Stefan

    2015-01-01

    Background The Marburg Heart Score (MHS) is a simple, valid, and robust clinical decision rule assisting GPs in ruling out coronary heart disease (CHD) in patients presenting with chest pain. Aim To investigate whether using the rule adds to the GP’s clinical judgement. Design and setting A comparative diagnostic accuracy study was conducted using data from 832 consecutive patients with chest pain in general practice. Method Three diagnostic strategies were defined using the MHS: diagnosis based solely on the MHS; using the MHS as a triage test; and GP’s clinical judgement aided by the MHS. Their accuracy was compared with the GPs’ unaided clinical judgement. Results Sensitivity and specificity of the GPs’ unaided clinical judgement was 82.9% (95% confidence interval [CI] = 72.4 to 89.9) and 61.0% (95% CI = 56.7 to 65.2), respectively. In comparison, the sensitivity of the MHS was higher (difference 8.5%, 95% CI = −2.4 to 19.6) and the specificity was similar (difference −0.4%, 95% CI = −5.3 to 4.5); the sensitivity of the triage was similar (difference −1.5%, 95% CI = −9.8 to 7.0) and the specificity was higher (difference 11.6%, 95% CI = 7.8 to 15.4); and both the sensitivity and specificity of the aided clinical judgement were higher (difference 8.0%, 95% CI = −6.9 to 23.0 and 5.8%, 95% CI = −1.6 to 13.2, respectively). Conclusion Using the Marburg Heart Score for initial triage can improve the clinical diagnosis of CHD in general practice. PMID:26500322

  15. Introducing Advanced Clinical Reasoning to an Adult Learning Disability Service

    ERIC Educational Resources Information Center

    Stansfield, Jois; Matthews, Alison

    2014-01-01

    The advanced clinical reasoning approach is widely adopted in speech and language therapy practice. This article reports on the introduction of the approach across a multidisciplinary adult learning disability service and staff reports on the impact of this initiative. Staff and team managers reported that the training had a positive impact on…

  16. Psychometric Advances in Measuring Clinical Problem-Solving Skills.

    ERIC Educational Resources Information Center

    Gross, Leon J.

    1981-01-01

    Advances have been made in testing optometrists' clinical skills, particularly with the use of simulation techniques. Further research into these techniques will probably receive the most attention, although a shift in research emphasis from correlational studies of test validity and reliability to test development studies is needed. (MSE)

  17. Implementation of workflow engine technology to deliver basic clinical decision support functionality

    PubMed Central

    2011-01-01

    Background Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic. Results We present our implementation of a workflow engine technology that addresses the two above-described challenges in delivering clinical decision support. Our system is based on a cross-industry standard of XML (extensible markup language) process definition language (XPDL). The core components of the system are a workflow editor for modeling clinical scenarios and a workflow engine for execution of those scenarios. We demonstrate, with an open-source and publicly available workflow suite, that clinical decision support logic can be executed on retrospective data. The same flowchart-based representation can also function in a prospective mode where the system can be integrated with an EHR system and respond to real-time clinical events. We limit the scope of our implementation to decision support content generation (which can be EHR system vendor independent). We do not focus on supporting complex decision support content delivery mechanisms due to lack of standardization of EHR systems in this area. We present results of our evaluation of the flowchart-based graphical notation as well as architectural evaluation of our implementation using an established evaluation framework for clinical decision support architecture. Conclusions We describe an implementation of

  18. Quantitative Framework for Retrospective Assessment of Interim Decisions in Clinical Trials.

    PubMed

    Stanev, Roger

    2016-11-01

    This article presents a quantitative way of modeling the interim decisions of clinical trials. While statistical approaches tend to focus on the epistemic aspects of statistical monitoring rules, often overlooking ethical considerations, ethical approaches tend to neglect the key epistemic dimension. The proposal is a second-order decision-analytic framework. The framework provides means for retrospective assessment of interim decisions based on a clear and consistent set of criteria that combines both ethical and epistemic considerations. The framework is broadly Bayesian and addresses a fundamental question behind many concerns about clinical trials: What does it take for an interim decision (e.g., whether to stop the trial or continue) to be a good decision? Simulations illustrating the modeling of interim decisions counterfactually are provided.

  19. Critical care outreach: the need for effective decision-making in clinical practice (part 2).

    PubMed

    Hancock, Helen C; Durham, Lesley

    2007-04-01

    As the extension of nursing into roles previously within the domain of medicine and the demand for evidence based practice continue to increase, the quality of decision making becomes imperative. Making accurate decisions is essential, both for the practitioner and for the patient, especially in the provision of critical care outreach (CCOR), to improve outcomes of care. With changes in health care delivery and increased accountability for practitioners' decisions, it is important to understand more about how clinical decisions are made and what factors influence them in order to inform practice. The previous paper outlined the theoretical background of clinical decision making and the knowledge that underpins practice in CCOR. In this paper, the authors, a Nurse Consultant in CCOR and a research fellow, examine the process of a practitioner's decision making in the practice of CCOR, through a collaborative reflective account of a case study. From this, recommendations are made about the future development of CCOR practitioners and services.

  20. Quantitative Framework for Retrospective Assessment of Interim Decisions in Clinical Trials

    PubMed Central

    Stanev, Roger

    2016-01-01

    This article presents a quantitative way of modeling the interim decisions of clinical trials. While statistical approaches tend to focus on the epistemic aspects of statistical monitoring rules, often overlooking ethical considerations, ethical approaches tend to neglect the key epistemic dimension. The proposal is a second-order decision-analytic framework. The framework provides means for retrospective assessment of interim decisions based on a clear and consistent set of criteria that combines both ethical and epistemic considerations. The framework is broadly Bayesian and addresses a fundamental question behind many concerns about clinical trials: What does it take for an interim decision (e.g., whether to stop the trial or continue) to be a good decision? Simulations illustrating the modeling of interim decisions counterfactually are provided. PMID:27353825

  1. Automated/integrated real-time clinical decision support in acute kidney injury

    PubMed Central

    Goldstein, Stuart L.

    2016-01-01

    Purpose of review Health information technology (HIT) advancements have resulted in recent increased sophistication of the electronic health record (EHR), whereby patient demographic, physiological and laboratory data can be extracted real-time and integrated into clinical decision support (CDS). Recent findings The implementation of HIT advancements into CDS in the renal realm have been focused mainly on assessment of kidney function, to guide medication dosing in the setting of reduced function, or to reactively detect acute kidney injury (AKI), heralded by an abrupt increase in serum creatinine. More recent work has combined risk stratification algorithms to guide proactive diagnostic or therapeutic intervention to prevent AKI or reduce its severity. Summary Early, real-time identification and notification to health care providers of patients at risk for, or with, acute or chronic kidney disease can drive simple interventions to reduce harm. Similarly, screening patients at risk for AKI with these platforms to alert research personnel will lead to improve study subject recruitment. However, sole reliance on EHR generated alerts without active health care team integration and assessment represents a major barrier to the realization of the potential of CDS to improve health care quality and outcomes. PMID:26539921

  2. The professional medical ethics model of decision making under conditions of clinical uncertainty.

    PubMed

    McCullough, Laurence B

    2013-02-01

    The professional medical ethics model of decision making may be applied to decisions clinicians and patients make under the conditions of clinical uncertainty that exist when evidence is low or very low. This model uses the ethical concepts of medicine as a profession, the professional virtues of integrity and candor and the patient's virtue of prudence, the moral management of medical uncertainty, and trial of intervention. These features combine to justifiably constrain clinicians' and patients' autonomy with the goal of preventing nondeliberative decisions of patients and clinicians. To prevent biased recommendations by the clinician that promote such nondeliberative decisions, medically reasonable alternatives supported by low or very low evidence should be offered but not recommended. The professional medical ethics model of decision making aims to improve the quality of decisions by reducing the unacceptable variation that can result from nondeliberative decision making by patients and clinicians when evidence is low or very low.

  3. The Clinical Intuition Exploration Guide: A Decision-Making Tool for Counselors and Supervisors

    ERIC Educational Resources Information Center

    Jeffrey, Aaron

    2012-01-01

    Clinical intuition is a common experience among counselors, yet many do not know what to do with intuition when it occurs. This article reviews the role intuition plays in clinical work and presents the research-based Clinical Intuition Exploration Guide to help counselors navigate the decision-making process. The guide consists of self-reflection…

  4. Advanced MR Imaging in Pediatric Brain Tumors, Clinical Applications.

    PubMed

    Lequin, Maarten; Hendrikse, Jeroen

    2017-02-01

    Advanced MR imaging techniques, such as spectroscopy, perfusion, diffusion, and functional imaging, have improved the diagnosis of brain tumors in children and also play an important role in defining surgical as well as therapeutic responses in these patients. In addition to the anatomic or structural information gained with conventional MR imaging sequences, advanced MR imaging techniques also provide physiologic information about tumor morphology, metabolism, and hemodynamics. This article reviews the physiology, techniques, and clinical applications of diffusion-weighted and diffusion tensor imaging, MR spectroscopy, perfusion MR imaging, susceptibility-weighted imaging, and functional MR imaging in the setting of neuro-oncology.

  5. Hypercalcemia of advanced chronic liver disease: a forgotten clinical entity!

    PubMed

    Kuchay, Mohammad Shafi; Mishra, Sunil Kumar; Farooqui, Khalid Jamal; Bansal, Beena; Wasir, Jasjeet Singh; Mithal, Ambrish

    2016-01-01

    Hypercalcemia caused by advanced chronic liver disease (CLD) without hepatic neoplasia is uncommonly reported and poorly understood condition. We are reporting two cases of advanced CLD who developed hypercalcemia in the course of the disease. This diagnosis of exclusion was made only after meticulous ruling out of all causes of hypercalcemia. The unique feature of this type of hypercalcemia is its transient nature that may or may not require treatment. This clinical condition in patients with CLD should be kept in mind while evaluating the cause of hypercalcemia in them.

  6. Hypercalcemia of advanced chronic liver disease: a forgotten clinical entity!

    PubMed Central

    Kuchay, Mohammad Shafi; Mishra, Sunil Kumar; Farooqui, Khalid Jamal; Bansal, Beena; Wasir, Jasjeet Singh; Mithal, Ambrish

    2016-01-01

    Summary Hypercalcemia caused by advanced chronic liver disease (CLD) without hepatic neoplasia is uncommonly reported and poorly understood condition. We are reporting two cases of advanced CLD who developed hypercalcemia in the course of the disease. This diagnosis of exclusion was made only after meticulous ruling out of all causes of hypercalcemia. The unique feature of this type of hypercalcemia is its transient nature that may or may not require treatment. This clinical condition in patients with CLD should be kept in mind while evaluating the cause of hypercalcemia in them. PMID:27252737

  7. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    ERIC Educational Resources Information Center

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  8. An Examination of Accelerated and Basic Baccalaureate Nursing Students' Perceptions of Clinical Decision Making

    ERIC Educational Resources Information Center

    Krumwiede, Kelly A.

    2010-01-01

    Developing decision-making skills is essential in education in order to be a competent nurse. The purpose of this study was to examine and compare the perceptions of clinical decision-making skills of students enrolled in accelerated and basic baccalaureate nursing programs. A comparative descriptive research design was used for this study.…

  9. Mental Workload as a Key Factor in Clinical Decision Making

    ERIC Educational Resources Information Center

    Byrne, Aidan

    2013-01-01

    The decision making process is central to the practice of a clinician and has traditionally been described in terms of the hypothetico-deductive model. More recently, models adapted from cognitive psychology, such as the dual process and script theories have proved useful in explaining patterns of practice not consistent with purely cognitive…

  10. Peritoneal tuberculosis in pregnancy mimicking advanced ovarian cancer: a plea to avoid hasty, radical and irreversible surgical decisions.

    PubMed

    Sakorafas, George H; Ntavatzikos, Anastasions; Konstantiadou, Ioanna; Karamitopoulou, Eva; Kavatha, Dimitra; Peros, George

    2009-09-01

    Tuberculous peritonitis is rare in most Western counties, and can cause significant diagnostic and therapeutic problems. A 28-year-old pregnant female presented with nausea and vomiting, right lower quadrant abdominal pain, fever and intra-abdominal fluid. During surgery for presumed complicated acute appendicitis, many small masses (considered to be 'implants') were found within the peritoneal cavity, with a larger mass in the pelvis, mainly on the right. The clinical intra-operative diagnosis was advanced ovarian cancer and multiple biopsies were taken. The histological diagnosis was peritoneal tuberculosis. The patient was successfully treated conservatively. Hasty decisions to undertake radical and irreversible surgery should be avoided; this type of surgery should be performed only after histological confirmation.

  11. SANDS: A Service-Oriented Architecture for Clinical Decision Support in a National Health Information Network

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2008-01-01

    In this paper we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. PMID:18434256

  12. Fluctuating capacity and advance decision-making in Bipolar Affective Disorder — Self-binding directives and self-determination

    PubMed Central

    Gergel, Tania; Owen, Gareth S.

    2015-01-01

    For people with Bipolar Affective Disorder, a self-binding (advance) directive (SBD), by which they commit themselves to treatment during future episodes of mania, even if unwilling, can seem the most rational way to deal with an imperfect predicament. Knowing that mania will almost certainly cause enormous damage to themselves, their preferred solution may well be to allow trusted others to enforce treatment and constraint, traumatic though this may be. No adequate provision exists for drafting a truly effective SBD and efforts to establish such provision are hampered by very valid, but also paralysing ethical, clinical and legal concerns. Effectively, the autonomy and rights of people with bipolar are being ‘protected’ through being denied an opportunity to protect themselves. From a standpoint firmly rooted in the clinical context and experience of mania, this article argues that an SBD, based on a patient-centred evaluation of capacity to make treatment decisions (DMC-T) and grounded within the clinician–patient relationship, could represent a legitimate and ethically coherent form of self-determination. After setting out background information on fluctuating capacity, mania and advance directives, this article proposes a framework for constructing such an SBD, and considers common objections, possible solutions and suggestions for future research. PMID:25939286

  13. Knowledge Style Profiling: An Exploration of Cognitive, Temperament, Demographic and Organizational Characteristics among Decision Makers Using Advanced Analytical Technologies

    ERIC Educational Resources Information Center

    Polito, Vincent A., Jr.

    2010-01-01

    The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were…

  14. A patient with a large pulmonary saddle embolus eluding both clinical gestalt and validated decision rules.

    PubMed

    Hennessey, Adam; Setyono, Devy A; Lau, Wayne Bond; Fields, Jason Matthew

    2012-06-01

    We report a patient with chest pain who was classified as having low risk for pulmonary embolism with clinical gestalt and accepted clinical decision rules. An inadvertently ordered D-dimer and abnormal result, however, led to the identification of a large saddle embolus. This case illustrates the fallibility of even well-validated decision aids and that an embolism missed by these tools is not necessarily low risk or indicative of a low clot burden.

  15. Clinical Cancer Advances 2017: Annual Report on Progress Against Cancer From the American Society of Clinical Oncology.

    PubMed

    Burstein, Harold J; Krilov, Lada; Aragon-Ching, Jeanny B; Baxter, Nancy N; Chiorean, E Gabriela; Chow, Warren Allen; De Groot, John Frederick; Devine, Steven Michael; DuBois, Steven G; El-Deiry, Wafik S; Epstein, Andrew S; Heymach, John; Jones, Joshua Adam; Mayer, Deborah K; Miksad, Rebecca A; Pennell, Nathan A; Sabel, Michael S; Schilsky, Richard L; Schuchter, Lynn Mara; Tung, Nadine; Winkfield, Karen Marie; Wirth, Lori J; Dizon, Don S

    2017-02-01

    A MESSAGE FROM ASCO'S PRESIDENT I am pleased to present Clinical Cancer Advances 2017, which highlights the most promising advances in patient-oriented cancer research over the past year. The report gives us an opportunity to reflect on what an exciting time it is for cancer research and how swiftly our understanding of cancer has improved. One year ago, the White House announced the national Cancer Moonshot program to accelerate progress against cancer. This shared vision of progress has reinvigorated the research community, identified new areas of scientific collaboration, and raised our ambitions regarding what may be possible beyond the progress we have already made. When I entered the field 35 years ago, I could not have imagined where we would be today. We can now detect cancer earlier, target treatments more effectively, and manage adverse effects more effectively to enable patients to live better, more fulfilling lives. Today, two of three people with cancer live at least 5 years after diagnosis, up from roughly one of two in the 1970s. This progress has resulted from decades of incremental advances that have collectively expanded our understanding of the molecular underpinnings of cancer. There is no better current example of this than ASCO's 2017 Advance of the Year: Immunotherapy 2.0. Over the last year, there has been a wave of new successes with immunotherapy. Research has proven this approach can be effective against a wide range of hard-to-treat advanced cancers previously considered intractable. Researchers are now working to identify biologic markers that can help increase the effectiveness of treatment and determine who is most likely to benefit from immunotherapy. This knowledge will enable oncologists to make evidence-based decisions so as many patients as possible might benefit from this new type of treatment. Each successive advance builds on the previous hard work of generations of basic, translational, and clinical cancer researchers

  16. Use of Simulation to Study Nurses' Acceptance and Nonacceptance of Clinical Decision Support Suggestions.

    PubMed

    Sousa, Vanessa E C; Lopez, Karen Dunn; Febretti, Alessandro; Stifter, Janet; Yao, Yingwei; Johnson, Andrew; Wilkie, Diana J; Keenan, Gail M

    2015-10-01

    Our long-term goal was to ensure nurse clinical decision support works as intended before full deployment in clinical practice. As part of a broader effort, this pilot project explored factors influencing acceptance/nonacceptance of eight clinical decision support suggestions displayed in an electronic health record-based nursing plan of care software prototype. A diverse sample of 21 nurses participated in this high-fidelity clinical simulation experience and completed a questionnaire to assess reasons for accepting/not accepting the clinical decision support suggestions. Of 168 total suggestions displayed during the experiment (eight for each of the 21 nurses), 123 (73.2%) were accepted, and 45 (26.8%) were not accepted. The mode number of acceptances by nurses was seven of eight, with only two of 21 nurses accepting all. The main reason for clinical decision support acceptance was the nurse's belief that the suggestions were good for the patient (100%), with other features providing secondary reinforcement. Reasons for nonacceptance were less clear, with fewer than half of the subjects indicating low confidence in the evidence. This study provides preliminary evidence that high-quality simulation and targeted questionnaires about specific clinical decision support selections offer a cost-effective means for testing before full deployment in clinical practice.

  17. Confocal microscopy of skin cancers: Translational advances toward clinical utility

    PubMed Central

    Rajadhyaksha, Milind

    2014-01-01

    Recent advances in translational research in and technology for confocal microscopy of skin cancers, toward clinical applications, are described. Advances in translational research are in diagnosis of melanoma in vivo, pre-operative mapping of lentigo maligna melanoma margins to guide surgery and intra-operative imaging of residual basal cell carcinomas to guide shave-biopsy. Advances in technology include mosaicing microscopy for detection of basal cell carcinomas in large areas of excised tissue, toward rapid pathology-at-the-bedside, and development of small, simple and low-cost line-scanning confocal microscopes for worldwide use in diverse primary healthcare settings. Current limitations and future opportunities and challenges for both clinicians and technologists are discussed. PMID:19964286

  18. From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data.

    PubMed

    Thompson, Steven; Varvel, Stephen; Sasinowski, Maciek; Burke, James P

    2016-09-01

    Big data and advances in analytical processes represent an opportunity for the healthcare industry to make better evidence-based decisions on the value generated by various tests, procedures, and interventions. Value-based reimbursement is the process of identifying and compensating healthcare providers based on whether their services improve quality of care without increasing cost of care or maintain quality of care while decreasing costs. In this article, we motivate and illustrate the potential opportunities for payers and providers to collaborate and evaluate the clinical and economic efficacy of different healthcare services. We conduct a case study of a firm that offers advanced biomarker and disease state management services for cardiovascular and cardiometabolic conditions. A value-based analysis that comprised a retrospective case/control cohort design was conducted, and claims data for over 7000 subjects who received these services were compared to a matched control cohort. Study subjects were commercial and Medicare Advantage enrollees with evidence of CHD, diabetes, or a related condition. Analysis of medical claims data showed a lower proportion of patients who received biomarker testing and disease state management services experienced a MI (p < 0.01) or diabetic complications (p < 0.001). No significant increase in cost of care was found between the two cohorts. Our results illustrate the opportunity healthcare payers such as Medicare and commercial insurance companies have in terms of identifying value-creating healthcare interventions. However, payers and providers also need to pursue system integration efforts to further automate the identification and dissemination of clinically and economically efficacious treatment plans to ensure at-risk patients receive the treatments and interventions that will benefit them the most.

  19. Decision analysis in clinical cardiology: When is coronary angiography required in aortic stenosis

    SciTech Connect

    Georgeson, S.; Meyer, K.B.; Pauker, S.G. )

    1990-03-15

    Decision analysis offers a reproducible, explicit approach to complex clinical decisions. It consists of developing a model, typically a decision tree, that separates choices from chances and that specifies and assigns relative values to outcomes. Sensitivity analysis allows exploration of alternative assumptions. Cost-effectiveness analysis shows the relation between dollars spent and improved health outcomes achieved. In a tutorial format, this approach is applied to the decision whether to perform coronary angiography in a patient who requires aortic valve replacement for critical aortic stenosis.

  20. Helping Health Care Providers and Clinical Scientists Understand Apparently Irrational Policy Decisions

    PubMed Central

    2016-01-01

    Health care providers (HCP) and clinical scientists (CS) are generally most comfortable using evidence-based rational decision-making models. They become very frustrated when policymakers make decisions that, on the surface, seem irrational and unreasonable. However, such decisions usually make sense when analysed properly. The goal of this paper to provide a basic theoretical understanding of major policy models, to illustrate which models are most prevalent in publicly funded health care systems, and to propose a policy analysis framework to better understand the elements that drive policy decision-making. The proposed policy framework will also assist HCP and CS achieve greater success with their own proposals. PMID:28123917

  1. Hip fractures and dementia: clinical decisions for the future.

    PubMed

    Waran, Eswaran; William, Leeroy

    2016-02-01

    Severe dementia is a life-limiting condition; hip fractures are more common in patients who have dementia. This study outlines the case of a 92-year-old female with severe dementia who sustained a hip fracture. Despite having a terminal diagnosis (severe dementia and hip fracture) and poor premorbid quality of life, she had a life-prolonging surgery. The report outlines issues around treatment options in such circumstances, informed consent and substitute decision-making. The authors propose a 'goals of care' approach to manage patients in whom the best treatment is unclear, during their attendance to the emergency department. It is suggested that utilization of such a model may help with substitute decision-making and true informed consent.

  2. Clinical data warehousing for evidence based decision making.

    PubMed

    Narra, Lekha; Sahama, Tony; Stapleton, Peta

    2015-01-01

    Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.

  3. A streamlined clinical advancement program improves RN participation and retention.

    PubMed

    Allen, Susan R; Fiorini, Pamela; Dickey, Michelle

    2010-01-01

    Retaining expert nurses in direct care is essential to quality patient outcomes. The goal of the clinical advancement program at Cincinnati Children's Hospital Medical Center has always been to recruit, retain, recognize, and reward nurses in direct care. A program revision in 2002 markedly increased nursing promotions and a higher retention rate for program participants versus their peers' retention rate of 88%. Nearly 40% of the hospital's nurses now participate in the program.

  4. Shared decision making: examining key elements and barriers to adoption into routine clinical practice.

    PubMed

    Légaré, France; Witteman, Holly O

    2013-02-01

    For many patients, the time spent meeting with their physician-the clinical encounter-is the most opportune moment for them to become engaged in their own health through the process of shared decision making. In the United States shared decision making is being promoted for its potential to improve the health of populations and individual patients, while also helping control care costs. In this overview we describe the three essential elements of shared decision making: recognizing and acknowledging that a decision is required; knowing and understanding the best available evidence; and incorporating the patient's values and preferences into the decision. To achieve the promise of shared decision making, more physicians need training in the approach, and more practices need to be reorganized around the principles of patient engagement. Additional research is also needed to identify the interventions that are most effective.

  5. A study to explore if dentists' anxiety affects their clinical decision-making.

    PubMed

    Chipchase, S Y; Chapman, H R; Bretherton, R

    2017-02-24

    Aims To develop a measure of dentists' anxiety in clinical situations; to establish if dentists' anxiety in clinical situations affected their self-reported clinical decision-making; to establish if occupational stress, as demonstrated by burnout, is associated with anxiety in clinical situations and clinical decision-making; and to explore the relationship between decision-making style and the clinical decisions which are influenced by anxiety.Design Cross-sectional study.Setting Primary Dental Care.Subjects and methods A questionnaire battery [Maslach Burnout Inventory, measuring burnout; Melbourne Decision Making Questionnaire, measuring decision-making style; Dealing with Uncertainty Questionnaire (DUQ), measuring coping with diagnostic uncertainty; and a newly designed Dentists' Anxieties in Clinical Situations Scale, measuring dentists' anxiety (DACSS-R) and change of treatment (DACSS-C)] was distributed to dentists practicing in Nottinghamshire and Lincolnshire. Demographic data were collected and dentists gave examples of anxiety-provoking situations and their responses to them.Main outcome measure Respondents' self-reported anxiety in various clinical situations on a 11-point Likert Scale (DACSS-R) and self-reported changes in clinical procedures (Yes/No; DACSS-C). The DACSS was validated using multiple t-tests and a principal component analysis. Differences in DACSS-R ratings and burnout, decision-making and dealing with uncertainty were explored using Pearson correlations and multiple regression analysis. Qualitative data was subject to a thematic analysis.Results The DACSS-R revealed a four-factor structure and had high internal reliability (Cronbach's α = 0.94). Those with higher DACSS-R scores of anxiety were more likely to report changes in clinical procedures (DACSS-C scores). DACSS-R scores were associated with decision-making self-esteem and style as measured by the MDMQ and all burnout subscales, though not with scores on the DUQ scale

  6. Can computerized clinical decision support systems improve practitioners' diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review

    PubMed Central

    2011-01-01

    Background Underuse and overuse of diagnostic tests have important implications for health outcomes and costs. Decision support technology purports to optimize the use of diagnostic tests in clinical practice. The objective of this review was to assess whether computerized clinical decision support systems (CCDSSs) are effective at improving ordering of tests for diagnosis, monitoring of disease, or monitoring of treatment. The outcome of interest was effect on the diagnostic test-ordering behavior of practitioners. Methods We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for eligible articles published up to January 2010. We included randomized controlled trials comparing the use of CCDSSs to usual practice or non-CCDSS controls in clinical care settings. Trials were eligible if at least one component of the CCDSS gave suggestions for ordering or performing a diagnostic procedure. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of test ordering outcomes. Results Thirty-five studies were identified, with significantly higher methodological quality in those published after the year 2000 (p = 0.002). Thirty-three trials reported evaluable data on diagnostic test ordering, and 55% (18/33) of CCDSSs improved testing behavior overall, including 83% (5/6) for diagnosis, 63% (5/8) for treatment monitoring, 35% (6/17) for disease monitoring, and 100% (3/3) for other purposes. Four of the systems explicitly attempted to reduce test ordering rates and all succeeded. Factors of particular interest to decision makers include costs, user satisfaction, and impact on workflow but were rarely investigated or reported. Conclusions Some CCDSSs can modify practitioner test-ordering behavior. To better inform development and implementation efforts, studies should describe in more detail potentially important factors such

  7. Evaluation of a novel electronic genetic screening and clinical decision support tool in prenatal clinical settings.

    PubMed

    Edelman, Emily A; Lin, Bruce K; Doksum, Teresa; Drohan, Brian; Edelson, Vaughn; Dolan, Siobhan M; Hughes, Kevin; O'Leary, James; Vasquez, Lisa; Copeland, Sara; Galvin, Shelley L; DeGroat, Nicole; Pardanani, Setul; Gregory Feero, W; Adams, Claire; Jones, Renee; Scott, Joan

    2014-07-01

    "The Pregnancy and Health Profile" (PHP) is a free prenatal genetic screening and clinical decision support (CDS) software tool for prenatal providers. PHP collects family health history (FHH) during intake and provides point-of-care risk assessment for providers and education for patients. This pilot study evaluated patient and provider responses to PHP and effects of using PHP in practice. PHP was implemented in four clinics. Surveys assessed provider confidence and knowledge and patient and provider satisfaction with PHP. Data on the implementation process were obtained through semi-structured interviews with administrators. Quantitative survey data were analyzed using Chi square test, Fisher's exact test, paired t tests, and multivariate logistic regression. Open-ended survey questions and interviews were analyzed using qualitative thematic analysis. Of the 83% (513/618) of patients that provided feedback, 97% felt PHP was easy to use and 98% easy to understand. Thirty percent (21/71) of participating physicians completed both pre- and post-implementation feedback surveys [13 obstetricians (OBs) and 8 family medicine physicians (FPs)]. Confidence in managing genetic risks significantly improved for OBs on 2/6 measures (p values ≤0.001) but not for FPs. Physician knowledge did not significantly change. Providers reported value in added patient engagement and reported mixed feedback about the CDS report. We identified key steps, resources, and staff support required to implement PHP in a clinical setting. To our knowledge, this study is the first to report on the integration of patient-completed, electronically captured and CDS-enabled FHH software into primary prenatal practice. PHP is acceptable to patients and providers. Key to successful implementation in the future will be customization options and interoperability with electronic health records.

  8. [On the importance of the "decision-making model" view of diagnosis as a clinical framework in psychiatry].

    PubMed

    Ota, T

    2000-01-01

    After the advent of DSM-III, operational diagnostic criteria, along with the classification of disorders using such criteria, received considerable attention, and many studies on the reliability and validity of psychiatric diagnosis were conducted worldwide. Operational methodology was applied to diagnosis and classification, especially, in the area of research, and has contributed greatly to advances in reliable and refined clinical research. Such methodology, however, has not necessarily been accepted as a guiding principle in the area of clinical practice by all psychiatrists. Rather, some psychiatrists, especially more experienced psychiatrists, took a somewhat negative attitude toward the use of operational methodology. The author contends that one of the causes for the relatively poor acceptance of operational methodology in the area of clinical practice lies in the "classification model" view of diagnosis that forms the implicit background for the methodology. From a clinical perspective, it is not from the "classification model" basis but rather, from the "decision-making model" basis that the actual process of clinical diagnosis in psychiatry is explained properly. This is a very important point, because the latter model is potentially more useful both to psychiatric patients and to researchers in psychiatry than the former model. There have been however, few reports in psychiatry that highlight the importance of this model as the clinical framework. The author analyzes the limitations of the "classification model" view, and then, based on this analysis, lists prerequisites that a model for the framework of clinical practice should possess. The prerequisites listed are: that clinical information not sufficient to meet the disease criteria should be used as effectively as possible, that diseases low in probability but high in seriousness should be considered by clinicians in the differential diagnoses; that diagnosis should be readily changed when necessary

  9. Mentoring for retention and advancement in the multigenerational clinical laboratory.

    PubMed

    Laudicina, R J

    2001-01-01

    Retention of recent graduates and other laboratory practitioners in the workplace will play a key role in addressing current and projected shortages of clinical laboratory scientists (CLS) and technicians (CLT). In addition, with overrepresentation of the aging Baby Boomer generation in laboratory supervisory and management positions, it is crucial not only to retain younger practitioners, but to prepare them for assuming these important functions in the future. Mentoring, a practice commonly employed in other professions, is widely considered to be useful in employee retention and career advancement. Mentoring has probably been used in the clinical laboratory profession, but has not been well documented. In the clinical laboratory environment, potential mentors are in the Veteran and Baby Boomer generations, and new practitioners who could benefit from mentoring are in Generation X. Generational differences among these groups may present challenges to the use of mentoring. This article will attempt to provide a better understanding of generational differences and show how mentoring can be applied in the setting of the clinical laboratory in order to increase retention and promote career advancement of younger practitioners. A panel of five laboratory managers provided examples of mentoring strategies. Definitions, benefits, and examples of mentoring are addressed in the accompanying article, "Passing the Torch: Mentoring the Next Generation of Laboratory Professionals".

  10. Standards for Scalable Clinical Decision Support: Need, Current and Emerging Standards, Gaps, and Proposal for Progress

    PubMed Central

    Kawamoto, Kensaku; Del Fiol, Guilherme; Lobach, David F.; Jenders, Robert A

    2010-01-01

    Despite their potential to significantly improve health care, advanced clinical decision support (CDS) capabilities are not widely available in the clinical setting. An important reason for this limited availability of CDS capabilities is the application-specific and institution-specific nature of most current CDS implementations. Thus, a critical need for enabling CDS capabilities on a much larger scale is the development and adoption of standards that enable current and emerging CDS resources to be more effectively leveraged across multiple applications and care settings. Standards required for such effective scaling of CDS include (i) standard terminologies and information models to represent and communicate about health care data; (ii) standard approaches to representing clinical knowledge in both human-readable and machine-executable formats; and (iii) standard approaches for leveraging these knowledge resources to provide CDS capabilities across various applications and care settings. A number of standards do exist or are under development to meet these needs. However, many gaps and challenges remain, including the excessive complexity of many standards; the limited availability of easily accessible knowledge resources implemented using standard approaches; and the lack of tooling and other practical resources to enable the efficient adoption of existing standards. Thus, the future development and widespread adoption of current CDS standards will depend critically on the availability of tooling, knowledge bases, and other resources that make the adoption of CDS standards not only the right approach to take, but the cost-effective path to follow given the alternative of using a traditional, ad hoc approach to implementing CDS. PMID:21603283

  11. Standards for scalable clinical decision support: need, current and emerging standards, gaps, and proposal for progress.

    PubMed

    Kawamoto, Kensaku; Del Fiol, Guilherme; Lobach, David F; Jenders, Robert A

    2010-01-01

    Despite their potential to significantly improve health care, advanced clinical decision support (CDS) capabilities are not widely available in the clinical setting. An important reason for this limited availability of CDS capabilities is the application-specific and institution-specific nature of most current CDS implementations. Thus, a critical need for enabling CDS capabilities on a much larger scale is the development and adoption of standards that enable current and emerging CDS resources to be more effectively leveraged across multiple applications and care settings. Standards required for such effective scaling of CDS include (i) standard terminologies and information models to represent and communicate about health care data; (ii) standard approaches to representing clinical knowledge in both human-readable and machine-executable formats; and (iii) standard approaches for leveraging these knowledge resources to provide CDS capabilities across various applications and care settings. A number of standards do exist or are under development to meet these needs. However, many gaps and challenges remain, including the excessive complexity of many standards; the limited availability of easily accessible knowledge resources implemented using standard approaches; and the lack of tooling and other practical resources to enable the efficient adoption of existing standards. Thus, the future development and widespread adoption of current CDS standards will depend critically on the availability of tooling, knowledge bases, and other resources that make the adoption of CDS standards not only the right approach to take, but the cost-effective path to follow given the alternative of using a traditional, ad hoc approach to implementing CDS.

  12. Supporting clinical decision making during deep brain stimulation surgery by means of a stochastic dynamical model

    NASA Astrophysics Data System (ADS)

    Karamintziou, Sofia D.; Tsirogiannis, George L.; Stathis, Pantelis G.; Tagaris, George A.; Boviatsis, Efstathios J.; Sakas, Damianos E.; Nikita, Konstantina S.

    2014-10-01

    Objective. During deep brain stimulation (DBS) surgery for the treatment of advanced Parkinson's disease (PD), microelectrode recording (MER) in conjunction with functional stimulation techniques are commonly applied for accurate electrode implantation. However, the development of automatic methods for clinical decision making has to date been characterized by the absence of a robust single-biomarker approach. Moreover, it has only been restricted to the framework of MER without encompassing intraoperative macrostimulation. Here, we propose an integrated series of novel single-biomarker approaches applicable to the entire electrophysiological procedure by means of a stochastic dynamical model. Approach. The methods are applied to MER data pertinent to ten DBS procedures. Considering the presence of measurement noise, we initially employ a multivariate phase synchronization index for automatic delineation of the functional boundaries of the subthalamic nucleus (STN) and determination of the acceptable MER trajectories. By introducing the index into a nonlinear stochastic model, appropriately fitted to pre-selected MERs, we simulate the neuronal response to periodic stimuli (130 Hz), and examine the Lyapunov exponent as an indirect indicator of the clinical effectiveness yielded by stimulation at the corresponding sites. Main results. Compared with the gold-standard dataset of annotations made intraoperatively by clinical experts, the STN detection methodology demonstrates a false negative rate of 4.8% and a false positive rate of 0%, across all trajectories. Site eligibility for implantation of the DBS electrode, as implicitly determined through the Lyapunov exponent of the proposed stochastic model, displays a sensitivity of 71.43%. Significance. The suggested comprehensive method exhibits remarkable performance in automatically determining both the acceptable MER trajectories and the optimal stimulation sites, thereby having the potential to accelerate precise

  13. Clinical Trial Results Vary Widely, But Always Advance Research | NIH MedlinePlus the Magazine

    MedlinePlus

    ... of this page please turn Javascript on. Feature: Clinical Trials Clinical Trial Results Vary Widely, But Always Advance Research ... very emotional." Should You Be Interested in a Clinical Trial People volunteer to take part in clinical ...

  14. Clinical decision-making and therapeutic approaches in osteopathy - a qualitative grounded theory study.

    PubMed

    Thomson, Oliver P; Petty, Nicola J; Moore, Ann P

    2014-02-01

    There is limited understanding of how osteopaths make decisions in relation to clinical practice. The aim of this research was to construct an explanatory theory of the clinical decision-making and therapeutic approaches of experienced osteopaths in the UK. Twelve UK registered osteopaths participated in this constructivist grounded theory qualitative study. Purposive and theoretical sampling was used to select participants. Data was collected using semi-structured interviews which were audio-recorded and transcribed. As the study approached theoretical sufficiency, participants were observed and video-recorded during a patient appointment, which was followed by a video-prompted interview. Constant comparative analysis was used to analyse and code data. Data analysis resulted in the construction of three qualitatively different therapeutic approaches which characterised participants and their clinical practice, termed; Treater, Communicator and Educator. Participants' therapeutic approach influenced their approach to clinical decision-making, the level of patient involvement, their interaction with patients, and therapeutic goals. Participants' overall conception of practice lay on a continuum ranging from technical rationality to professional artistry, and contributed to their therapeutic approach. A range of factors were identified which influenced participants' conception of practice. The findings indicate that there is variation in osteopaths' therapeutic approaches to practice and clinical decision-making, which are influenced by their overall conception of practice. This study provides the first explanatory theory of the clinical decision-making and therapeutic approaches of osteopaths.

  15. Clinical-decision support based on medical literature: A complex network approach

    NASA Astrophysics Data System (ADS)

    Jiang, Jingchi; Zheng, Jichuan; Zhao, Chao; Su, Jia; Guan, Yi; Yu, Qiubin

    2016-10-01

    In making clinical decisions, clinicians often review medical literature to ensure the reliability of diagnosis, test, and treatment because the medical literature can answer clinical questions and assist clinicians making clinical decisions. Therefore, finding the appropriate literature is a critical problem for clinical-decision support (CDS). First, the present study employs search engines to retrieve relevant literature about patient records. However, the result of the traditional method is usually unsatisfactory. To improve the relevance of the retrieval result, a medical literature network (MLN) based on these retrieved papers is constructed. Then, we show that this MLN has small-world and scale-free properties of a complex network. According to the structural characteristics of the MLN, we adopt two methods to further identify the potential relevant literature in addition to the retrieved literature. By integrating these potential papers into the MLN, a more comprehensive MLN is built to answer the question of actual patient records. Furthermore, we propose a re-ranking model to sort all papers by relevance. We experimentally find that the re-ranking model can improve the normalized discounted cumulative gain of the results. As participants of the Text Retrieval Conference 2015, our clinical-decision method based on the MLN also yields higher scores than the medians in most topics and achieves the best scores for topics: #11 and #12. These research results indicate that our study can be used to effectively assist clinicians in making clinical decisions, and the MLN can facilitate the investigation of CDS.

  16. Empirically and Clinically Useful Decision Making in Psychotherapy: Differential Predictions with Treatment Response Models

    ERIC Educational Resources Information Center

    Lutz, Wolfgang; Saunders, Stephen M.; Leon, Scott C.; Martinovich, Zoran; Kosfelder, Joachim; Schulte, Dietmar; Grawe, Klaus; Tholen, Sven

    2006-01-01

    In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research…

  17. Computer Decision Support to Improve Autism Screening and Care in Community Pediatric Clinics

    ERIC Educational Resources Information Center

    Bauer, Nerissa S.; Sturm, Lynne A.; Carroll, Aaron E.; Downs, Stephen M.

    2013-01-01

    An autism module was added to an existing computer decision support system (CDSS) to facilitate adherence to recommended guidelines for screening for autism spectrum disorders in primary care pediatric clinics. User satisfaction was assessed by survey and informal feedback at monthly meetings between clinical staff and the software team. To assess…

  18. "Thinking aloud" as a strategy to improve clinical decision making.

    PubMed

    Corcoran, S; Narayan, S; Moreland, H

    1988-09-01

    Although "thinking aloud" has been used as a research method to collect data about nurses' knowledge and cognitive processes, it has not been used widely for instruction. We suggest that thinking aloud can be an effective teaching strategy for staff development. Two techniques are described for incorporating thinking aloud into dialogue among experienced nurses and into mentoring activities between experts and novices. An excerpt from a transcript of one nurse's thinking aloud while making a triage decision is presented to illustrate the types of knowledge and cognitive processes that can be elicited and revealed by using this strategy. Potential educational benefits are identified, along with suggestions for implementing thinking aloud as an instructional method.

  19. A Three-Question Framework to Facilitate Clinical Decision Making

    ERIC Educational Resources Information Center

    Sibold, Jeremy

    2012-01-01

    Context: Highly developed critical thinking and the ability to discriminate among many possible therapeutic interventions is a core behavior for the practicing athletic trainer. However, while athletic training students receive a great deal of clinically applicable information, many are not explicitly trained in efficient methods for channeling…

  20. Recommendations for a Clinical Decision Support for the Management of Individuals with Chronic Kidney Disease

    PubMed Central

    Patwardhan, Meenal B.; Kawamoto, Kensaku; Lobach, David; Patel, Uptal D.; Matchar, David B.

    2009-01-01

    Background and objectives: Care for advanced CKD patients is suboptimal. CKD practice guidelines aim to close gaps in care, but making providers aware of guidelines is an ineffective implementation strategy. The Institute of Medicine has endorsed the use of clinical decision support (CDS) for implementing guidelines. The authors’ objective was to identify the requirements of an optimal CDS system for CKD management. Design, setting, participants, and measurements: The aims of this study expanded on those of previous work that used the facilitated process improvement (FPI) methodology. In FPI, an expert workgroup develops a set of quality improvement tools that can subsequently be utilized by practicing physicians. The authors conducted a discussion with a group of multidisciplinary experts to identify requirements for an optimal CDS system. Results: The panel considered the process of patient identification and management, associated barriers, and elements by which CDS could address these barriers. The panel also discussed specific knowledge needs in the context of a typical scenario in which CDS would be used. Finally, the group developed a set of core requirements that will likely facilitate the implementation of a CDS system aimed at improving the management of any chronic medical condition. Conclusions: Considering the growing burden of CKD and the potential healthcare and resource impact of guideline implementation through CDS, the relevance of this systematic process, consistent with Institute of Medicine recommendations, cannot be understated. The requirements described in this report could serve as a basis for the design of a CKD-specific CDS. PMID:19176797

  1. [Knowledge management system for laboratory work and clinical decision support].

    PubMed

    Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko

    2011-05-01

    This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.

  2. Clinical judgment and decision-making in wound assessment and management: is experience enough?

    PubMed

    Logan, Gemma

    2015-03-01

    The assessment and management of wounds forms a large proportion of community nurses' workload, often requiring judgment and decision-making in complex, challenging and uncertain circumstances. The processes through which nurses form judgments and make decisions within this context are reviewed in this article against existing theories on these subjects. There is variability in wound assessment and management practice which may be attributed to uncertainties within the context, a lack of knowledge in appropriate treatment choices and the inability to correctly value the importance of the clinical information presented. Nurses may be required to draw on intuition to guide their judgments and decision-making by association with experience and expertise. In addition, a step-by-step analytical approach underpinned by an evidence base may be required to ensure accuracy in practice. Developing an understanding of the different theories of judgment and decision-making may facilitate nurses' abilities to reflect on their own decision tasks, thereby enhancing the care provided.

  3. A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine

    PubMed Central

    2009-01-01

    Background In recent years, the completion of the Human Genome Project and other rapid advances in genomics have led to increasing anticipation of an era of genomic and personalized medicine, in which an individual's health is optimized through the use of all available patient data, including data on the individual's genome and its downstream products. Genomic and personalized medicine could transform healthcare systems and catalyze significant reductions in morbidity, mortality, and overall healthcare costs. Discussion Critical to the achievement of more efficient and effective healthcare enabled by genomics is the establishment of a robust, nationwide clinical decision support infrastructure that assists clinicians in their use of genomic assays to guide disease prevention, diagnosis, and therapy. Requisite components of this infrastructure include the standardized representation of genomic and non-genomic patient data across health information systems; centrally managed repositories of computer-processable medical knowledge; and standardized approaches for applying these knowledge resources against patient data to generate and deliver patient-specific care recommendations. Here, we provide recommendations for establishing a national decision support infrastructure for genomic and personalized medicine that fulfills these needs, leverages existing resources, and is aligned with the Roadmap for National Action on Clinical Decision Support commissioned by the U.S. Office of the National Coordinator for Health Information Technology. Critical to the establishment of this infrastructure will be strong leadership and substantial funding from the federal government. Summary A national clinical decision support infrastructure will be required for reaping the full benefits of genomic and personalized medicine. Essential components of this infrastructure include standards for data representation; centrally managed knowledge repositories; and standardized approaches for

  4. Managing risk: clinical decision-making in mental health services.

    PubMed

    Muir-Cochrane, Eimear; Gerace, Adam; Mosel, Krista; O'Kane, Debra; Barkway, Patricia; Curren, David; Oster, Candice

    2011-01-01

    Risk assessment and management is a major component of contemporary mental health practice. Risk assessment in health care exists within contemporary perspectives of management and risk aversive practices in health care. This has led to much discussion about the best approach to assessing possible risks posed by people with mental health problems. In addition, researchers and commentators have expressed concern that clinical practice is being dominated by managerial models of risk management at the expense of meeting the patient's health and social care needs. The purpose of the present study is to investigate the risk assessment practices of a multidisciplinary mental health service. Findings indicate that mental health professionals draw on both managerial and therapeutic approaches to risk management, integrating these approaches into their clinical practice. Rather than being dominated by managerial concerns regarding risk, the participants demonstrate professional autonomy and concern for the needs of their clients.

  5. GELLO: An Object-Oriented Query and Expression Language for Clinical Decision Support

    PubMed Central

    Sordo, Margarita; Ogunyemi, Omolola; Boxwala, Aziz A.; Greenes, Robert A.

    2003-01-01

    GELLO is a purpose-specific, object-oriented (OO) query and expression language [1]. GELLO is the result of a concerted effort of the Decision Systems Group (DSG) working with the HL7 Clinical Decision Support Technical Committee (CDSTC) to provide the HL7 community with a common format for data encoding and manipulation. GELLO will soon be submitted for ballot to the HL7 CDSTC for consideration as a standard. PMID:14728515

  6. Implementing an integrative multi-agent clinical decision support system with open source software.

    PubMed

    Sayyad Shirabad, Jelber; Wilk, Szymon; Michalowski, Wojtek; Farion, Ken

    2012-02-01

    Clinical decision making is a complex multi-stage process. Decision support can play an important role at each stage of this process. At present, the majority of clinical decision support systems have been focused on supporting only certain stages. In this paper we present the design and implementation of MET3-a prototype multi-agent system providing an integrative decision support that spans over the entire decision making process. The system helps physicians with data collection, diagnosis formulation, treatment planning and finding supporting evidence. MET3 integrates with external hospital information systems via HL7 messages and runs on various computing platforms available at the point of care (e.g., tablet computers, mobile phones). Building MET3 required sophisticated and reliable software technologies. In the past decade the open source software movement has produced mature, stable, industrial strength software systems with a large user base. Therefore, one of the decisions that should be considered before developing or acquiring a decision support system is whether or not one could use open source technologies instead of proprietary ones. We believe MET3 shows that the answer to this question is positive.

  7. Polymeric nanotherapeutics: clinical development and advances in stealth functionalization strategies

    NASA Astrophysics Data System (ADS)

    Hu, Che-Ming J.; Fang, Ronnie H.; Luk, Brian T.; Zhang, Liangfang

    2013-12-01

    Long-circulating polymeric nanotherapeutics have garnered increasing interest in research and in the clinic owing to their ability to improve the solubility and pharmacokinetics of therapeutic cargoes. Modulation of carrier properties promises more effective drug localization at the disease sites and can lead to enhanced drug safety and efficacy. In the present review, we highlight the current development of polymeric nanotherapeutics in the clinic. In light of the importance of stealth properties in therapeutic nanoparticles, we also review the advances in stealth functionalization strategies and examine the performance of different stealth polymers in the literature. In addition, we discuss the recent development of biologically inspired ``self'' nanoparticles, which present a differing stealth concept from conventional approaches.

  8. Feasibility of Extracting Key Elements from ClinicalTrials.gov to Support Clinicians’ Patient Care Decisions

    PubMed Central

    Kim, Heejun; Bian, Jiantao; Mostafa, Javed; Jonnalagadda, Siddhartha; Del Fiol, Guilherme

    2016-01-01

    Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort. Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov. Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information. Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians. PMID:28269867

  9. Feasibility of Extracting Key Elements from ClinicalTrials.gov to Support Clinicians' Patient Care Decisions.

    PubMed

    Kim, Heejun; Bian, Jiantao; Mostafa, Javed; Jonnalagadda, Siddhartha; Del Fiol, Guilherme

    2016-01-01

    Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort. Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov. Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information. Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians.

  10. A clinical recruiting management system for complex multi-site clinical trials using qualification decision support systems.

    PubMed

    Vahabzadeh, Massoud; Lin, Jia-Ling; Mezghanni, Mustapha; Contoreggi, Carlo; Leff, Michelle

    2007-10-11

    A clinical recruiting management system with qualification decision support systems was developed to increase the efficiency of screening and evaluation of participants during a recruiting process whereby recruiting for various protocols are conducted at multiple sites by different groups with process interdependencies. This system is seamlessly integrated into our enterprise-scale Human Research Information System (HuRIS), encompassing research participants' electronic health records (EHR), with real-time access to the clinical trial data.

  11. Knowledge bases, clinical decision support systems, and rapid learning in oncology.

    PubMed

    Yu, Peter Paul

    2015-03-01

    One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clinical decision support tools are frequently cited as a technologic solution to this problem, but to date useful clinical decision support systems (CDSS) have been limited in utility and implementation. This article describes three unique sources of health data that underlie fundamentally different types of knowledge bases which feed into CDSS. CDSS themselves comprise a variety of models which are discussed. The relationship of knowledge bases and CDSS to rapid learning health systems design is critical as CDSS are essential drivers of rapid learning in clinical care.

  12. Workflow Technology to Enrich a Computerized Clinical Chart with Decision Support Facilities

    PubMed Central

    Panzarasa, Silvia; Quaglini, Silvana; Cavallini, Anna; Micieli, Giuseppe; Pernice, Corrado; Pessina, Mauro; Stefanelli, Mario

    2006-01-01

    Literature results and personal experience show that intrusive modalities of presenting suggestions of computerized clinical practice guidelines are detrimental to the routine use of an information system. This paper describes a solution for smoothly integrating a guideline-based decision support system into an existing computerized clinical chart for patients admitted to a Stroke Unit. Since many years, the healthcare personnel were using a commercial product for the ordinary patients’ data management, and they were satisfied with it. Thus, the decision support system has been integrated keeping attention to minimize changes and preserve existing human-computer interaction. Our decision support system is based on workflow technology. The paper illustrates the middleware layer developed to allow communication between the workflow management system and the clinical chart. At the same time, the consequent modification of the graphical users' interface is illustrated. PMID:17238415

  13. Clinical decision making in seizures and status epilepticus.

    PubMed

    Teran, Felipe; Harper-Kirksey, Katrina; Jagoda, Andy

    2015-01-01

    Seizures and status epilepticus are frequent neurologic emergencies in the emergency department, accounting for 1% of all emergency department visits. The management of this time-sensitive and potentially life-threatening condition is challenging for both prehospital providers and emergency clinicians. The approach to seizing patients begins with differentiating seizure activity from mimics and follows with identifying potential secondary etiologies, such as alcohol-related seizures. The approach to the patient in status epilepticus and the patient with nonconvulsive status epilepticus constitutes a special clinical challenge. This review summarizes the best available evidence and recommendations regarding diagnosis and resuscitation of the seizing patient in the emergency setting.

  14. Teleconsultation and Clinical Decision Making: a Systematic Review

    PubMed Central

    Deldar, Kolsoum; Bahaadinbeigy, Kambiz; Tara, Seyed Mahmood

    2016-01-01

    Background: The goal of teleconsultation is to omit geographical and functional distance between two or more geographically separated health care providers. The purpose of present study is to review and analyze physician-physician teleconsultations. Method: The PubMed electronic database was searched. The primary search was done on January 2015 and was updated on December 2015. A fetch and tag plan was designed by the researchers using an online Zotero library. Results: 174 full-text articles of 1702 records met inclusion criteria. Teleconsultation for pediatric patients accounts for 14.36 percent of accepted articles. Surgery and general medicine were the most prevalent medical fields in the adults and pediatrics, respectively. Most teleconsultations were inland experiences (no=135), and the USA, Italy and Australia were the three top countries in this group. Non-specialists health care providers/centers were the dominant group who requested teleconsultation (no=130). Real time, store and forward, and hybrid technologies were used in 50, 31, and 16.7 percent of articles, respectively. The teleconsultation were reported to result in change in treatment plan, referral or evacuation rate, change in diagnosis, educational effects, and rapid decision making. Use of structured or semi-structured template had been noticed only in a very few articles. Conclusion: The present study focused on the recent ten years of published articles on physician-physician teleconsultations. Our findings showed that although there are positive impacts of teleconsultation as improving patient management, still have gaps that need to be repaired. PMID:27708494

  15. Monitoring the clinical outcomes in advanced prostate cancer: what imaging modalities and other markers are reliable?

    PubMed

    Morris, Michael J; Autio, Karen A; Basch, Ethan M; Danila, Daniel C; Larson, Steven; Scher, Howard I

    2013-06-01

    Effective patient care and efficient drug development require accurate tools to assess treatment effects. For metastatic castration-resistant prostate cancer (mCRPC), response biomarkers have historically been poorly reproducible, inaccurate, inconsistently applied, or only loosely associated with tangible clinical benefits such as survival. However, the field of response assessments for prostate cancer is maturing, in compliance with a rigorous process defined by analytic validation, clinical validation, and clinical qualification. For example, bone imaging with technetium-99m scintigraphy has historically been poorly used in prostate cancer clinical trials and routine patient care, and frequently has led to poor decision-making. However, contemporary clinical trial consensus criteria (Prostate Cancer Working Group 2 [PCWG2]) have standardized the definition of progression on bone scintigraphy and the clinical trials endpoint of radiographic progression-free survival (rPFS). A validated bone scan interpretation form captures the relevant data elements. rPFS and the forms have been undergoing prospective testing in multiple phase III studies. The first of these trials demonstrated a high degree of reproducibility and correlation with overall survival, and rPFS was used by the US Food and Drug Administration (FDA) for approval of abiraterone in chemotherapy-naïve mCRPC. Circulating tumor cells (CTC) are another class of assays with significant promise as response-indicator biomarkers. CTC enumeration has undergone analytic validation and has been FDA-cleared for monitoring patients with prostate cancer in conjunction with other clinical methods. It is not yet a surrogate for survival. Patient-reported outcomes (PROs) are direct indicators of patient benefit. The assays to measure PROs must undergo each of the steps of biomarker development, and are increasingly being standardized and used as clinical trial endpoints. In this review, we critically assess each of

  16. Translating Advances in Cardiogenetics Into Effective Clinical Practice

    PubMed Central

    Silverstein, Louise Bordeaux; Stolerman, Marina; Hidayatallah, Nadia; McDonald, Thomas; Walsh, Christine A.; Paljevic, Esma; Cohen, Lilian L.; Marion, Robert W.; Wasserman, David; Dolan, Siobhan M.

    2015-01-01

    In this article we describe a qualitative research study in which we explored individuals’ subjective experiences of both genetic testing and cardiogenetic disorders. Using a grounded theory approach, we coded and analyzed interview and focus group transcripts from 50 participants. We found that just under half of the participants who received their diagnosis during the study reported difficulty understanding information about both the purpose of genetic testing and their cardiac disease. A high level of anxiety about genetic testing and cardiac symptoms exacerbated individuals’ cognitive confusion. Participants reported both positive and negative interactions with the medical community, depending on health care professionals’ knowledge of cardiogenetic disorders. Overall, participants expressed a range of attitudes—positive, negative, and ambivalent—toward genetic testing. We conclude with a discussion of the barriers to achieving effective clinical care for genetic conditions and offer suggestions for improving collaborative decision making between physicians and patients. PMID:25114027

  17. A social-technological epistemology of clinical decision-making as mediated by imaging.

    PubMed

    van Baalen, Sophie; Carusi, Annamaria; Sabroe, Ian; Kiely, David G

    2016-10-03

    In recent years there has been growing attention to the epistemology of clinical decision-making, but most studies have taken the individual physicians as the central object of analysis. In this paper we argue that knowing in current medical practice has an inherently social character and that imaging plays a mediating role in these practices. We have analyzed clinical decision-making within a medical expert team involved in diagnosis and treatment of patients with pulmonary hypertension (PH), a rare disease requiring multidisciplinary team involvement in diagnosis and management. Within our field study, we conducted observations, interviews, video tasks, and a panel discussion. Decision-making in the PH clinic involves combining evidence from heterogeneous sources into a cohesive framing of a patient, in which interpretations of the different sources can be made consistent with each other. Because pieces of evidence are generated by people with different expertise and interpretation and adjustments take place in interaction between different experts, we argue that this process is socially distributed. Multidisciplinary team meetings are an important place where information is shared, discussed, interpreted, and adjusted, allowing for a collective way of seeing and a shared language to be developed. We demonstrate this with an example of image processing in the PH service, an instance in which knowledge is distributed over multiple people who play a crucial role in generating an evaluation of right heart function. Finally, we argue that images fulfill a mediating role in distributed knowing in 3 ways: first, as enablers or tools in acquiring information; second, as communication facilitators; and third, as pervasively framing the epistemic domain. With this study of clinical decision-making in diagnosis and treatment of PH, we have shown that clinical decision-making is highly social and mediated by technologies. The epistemology of clinical decision-making needs

  18. A decision support tool for synchronizing technology advances with strategic mission objectives

    NASA Technical Reports Server (NTRS)

    Hornstein, Rhoda S.; Willoughby, John K.

    1992-01-01

    Successful accomplishment of the objectives of many long-range future missions in areas such as space systems, land-use planning, and natural resource management requires significant technology developments. This paper describes the development of a decision-support data-derived tool called MisTec for helping strategic planners to determine technology development alternatives and to synchronize the technology development schedules with the performance schedules of future long-term missions. Special attention is given to the operations, concept, design, and functional capabilities of the MisTec. The MisTec was initially designed for manned Mars mission, but can be adapted to support other high-technology long-range strategic planning situations, making it possible for a mission analyst, planner, or manager to describe a mission scenario, determine the technology alternatives for making the mission achievable, and to plan the R&D activity necessary to achieve the required technology advances.

  19. Photodynamic therapy for locally advanced pancreatic cancer: early clinical results

    NASA Astrophysics Data System (ADS)

    Sandanayake, N. S.; Huggett, M. T.; Bown, S. G.; Pogue, B. W.; Hasan, T.; Pereira, S. P.

    2010-02-01

    Pancreatic adenocarcinoma ranks as the fourth most common cause of cancer death in the USA. Patients usually present late with advanced disease, limiting attempted curative surgery to 10% of cases. Overall prognosis is poor with one-year survival rates of less than 10% with palliative chemotherapy and/or radiotherapy. Given these dismal results, a minimally invasive treatment capable of local destruction of tumor tissue with low morbidity may have a place in the treatment of this disease. In this paper we review the preclinical photodynamic therapy (PDT) studies which have shown that it is possible to achieve a zone of necrosis in normal pancreas and implanted tumour tissue. Side effects of treatment and evidence of a potential survival advantage are discussed. We describe the only published clinical study of pancreatic interstitial PDT, which was carried out by our group (Bown et al Gut 2002), in 16 patients with unresectable locally advanced pancreatic adenocarcinoma. All patients had evidence of tumor necrosis on follow-up imaging, with a median survival from diagnosis of 12.5 months. Finally, we outline a phase I dose-escalation study of verteporfin single fibre PDT followed by standard gemcitabine chemotherapy which our group is currently undertaking in patients with locally advanced pancreatic cancer. Randomized controlled studies are also planned.

  20. Major clinical research advances in gynecologic cancer in 2014.

    PubMed

    Suh, Dong Hoon; Lee, Kyung Hun; Kim, Kidong; Kang, Sokbom; Kim, Jae Weon

    2015-04-01

    In 2014, 9 topics were selected as major advances in clinical research for gynecologic oncology: 2 each in cervical and corpus cancer, 4 in ovarian cancer, and 1 in breast cancer. For cervical cancer, several therapeutic agents showed viable antitumor clinical response in recurrent and metastatic disease: bevacizumab, cediranib, and immunotherapies including human papillomavirus (HPV)-tumor infiltrating lymphocytes and Z-100. The HPV test received FDA approval as the primary screening tool of cervical cancer in women aged 25 and older, based on the results of the ATHENA trial, which suggested that the HPV test was a more sensitive and efficient strategy for cervical cancer screening than methods based solely on cytology. For corpus cancers, results of a phase III Gynecologic Oncology Group (GOG) 249 study of early-stage endometrial cancer with high-intermediate risk factors are followed by the controversial topic of uterine power morcellation in minimally invasive gynecologic surgery. Promising results of phase II studies regarding the effectiveness of olaparib in various ovarian cancer settings are summarized. After a brief review of results from a phase III study on pazopanib maintenance therapy in advanced ovarian cancer, 2 outstanding 2014 ASCO presentations cover the topic of using molecular subtypes in predicting response to bevacizumab. A review of the use of opportunistic bilateral salpingectomy as an ovarian cancer preventive strategy in the general population is presented. Two remarkable studies that discussed the effectiveness of adjuvant ovarian suppression in premenopausal early breast cancer have been selected as the last topics covered in this review.

  1. The biology of infertility: research advances and clinical challenges

    PubMed Central

    Matzuk, Martin M; Lamb, Dolores J

    2013-01-01

    Reproduction is required for the survival of all mammalian species, and thousands of essential ‘sex’ genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care. PMID:18989307

  2. Communication and decision support for children with advanced cancer and their families.

    PubMed

    Mack, Jennifer W; Feudtner, Chris; Hinds, Pamela S

    2012-01-01

    Clinician communication related to treatment decision making is a fundamentally important health care intervention and is often reported by parents of seriously ill children to be the most valued of clinician skills. Since different children and families have different communication styles and expectations, and since these may change over the course of the illness experience, one of the early and recurring tasks is to clarify and work with these diverse styles and expectations. Adopting a stance of compassionate desire to know more about patients and families, in addition to imparting information, is vital, and can be facilitated by following a general strategy of "ask, tell, ask." In addition to the exchange of information, communication between clinician and patient and family also involves the signaling and exchange of emotions, in which the pace, verbal inflection, and body language of the conversation are fundamental. Discussions about prognosis and goals of care, while needing to be handled in a gentle manner, should start early in the illness experience and be revised whenever there is a relapse or major complication. Children often want to participate in these conversations to a degree of their own choosing, which they themselves can clarify. Effective and empathetic clinician communication can greatly facilitate decision making and care for children with advanced cancer and their families, and provide a substantial source of comfort.

  3. [Advanced data analysis and visualization for clinical laboratory].

    PubMed

    Inada, Masanori; Yoneyama, Akiko

    2011-01-01

    This paper describes visualization techniques that help identify hidden structures in clinical laboratory data. The visualization of data is helpful for a rapid and better understanding of the characteristics of data sets. Various charts help the user identify trends in data. Scatter plots help prevent misinterpretations due to invalid data by identifying outliers. The representation of experimental data in figures is always useful for communicating results to others. Currently, flexible methods such as smoothing methods and latent structure analysis are available owing to the presence of advanced hardware and software. Principle component analysis, which is a well-known technique used to reduce multidimensional data sets, can be carried out on a personal computer. These methods could lead to advanced visualization with regard to exploratory data analysis. In this paper, we present 3 examples in order to introduce advanced data analysis. In the first example, a smoothing spline was fitted to a time-series from the control chart which is not in a state of statistical control. The trend line was clearly extracted from the daily measurements of the control samples. In the second example, principal component analysis was used to identify a new diagnostic indicator for Graves' disease. The multi-dimensional data obtained from patients were reduced to lower dimensions, and the principle components thus obtained summarized the variation in the data set. In the final example, a latent structure analysis for a Gaussian mixture model was used to draw complex density functions suitable for actual laboratory data. As a result, 5 clusters were extracted. The mixed density function of these clusters represented the data distribution graphically. The methods used in the above examples make the creation of complicated models for clinical laboratories more simple and flexible.

  4. Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain

    PubMed Central

    2010-01-01

    Background Opioid prescribing for chronic pain is common and controversial, but recommended clinical practices are followed inconsistently in many clinical settings. Strategies for increasing adherence to clinical practice guideline recommendations are needed to increase effectiveness and reduce negative consequences of opioid prescribing in chronic pain patients. Methods Here we describe the process and outcomes of a project to operationalize the 2003 VA/DOD Clinical Practice Guideline for Opioid Therapy for Chronic Non-Cancer Pain into a computerized decision support system (DSS) to encourage good opioid prescribing practices during primary care visits. We based the DSS on the existing ATHENA-DSS. We used an iterative process of design, testing, and revision of the DSS by a diverse team including guideline authors, medical informatics experts, clinical content experts, and end-users to convert the written clinical practice guideline into a computable algorithm to generate patient-specific recommendations for care based upon existing information in the electronic medical record (EMR), and a set of clinical tools. Results The iterative revision process identified numerous and varied problems with the initially designed system despite diverse expert participation in the design process. The process of operationalizing the guideline identified areas in which the guideline was vague, left decisions to clinical judgment, or required clarification of detail to insure safe clinical implementation. The revisions led to workable solutions to problems, defined the limits of the DSS and its utility in clinical practice, improved integration into clinical workflow, and improved the clarity and accuracy of system recommendations and tools. Conclusions Use of this iterative process led to development of a multifunctional DSS that met the approval of the clinical practice guideline authors, content experts, and clinicians involved in testing. The process and experiences described

  5. A service oriented approach for guidelines-based clinical decision support using BPMN.

    PubMed

    Rodriguez-Loya, Salvador; Aziz, Ayesha; Chatwin, Chris

    2014-01-01

    Evidence-based medical practice requires that clinical guidelines need to be documented in such a way that they represent a clinical workflow in its most accessible form. In order to optimize clinical processes to improve clinical outcomes, we propose a Service Oriented Architecture (SOA) based approach for implementing clinical guidelines that can be accessed from an Electronic Health Record (EHR) application with a Web Services enabled communication mechanism with the Enterprise Service Bus. We have used Business Process Modelling Notation (BPMN) for modelling and presenting the clinical pathway in the form of a workflow. The aim of this study is to produce spontaneous alerts in the healthcare workflow in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD). The use of BPMN as a tool to automate clinical guidelines has not been previously employed for providing Clinical Decision Support (CDS).

  6. Hemispheric activation differences in novice and expert clinicians during clinical decision making.

    PubMed

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

    2016-12-01

    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 were reflected in terms of differences in neural areas of activation. Novice and expert clinicians diagnosed simple or complex (easy, hard) cases while functional magnetic resonance imaging (fMRI) data were collected. Our results highlight key differences in the neural areas activated in novices and experts during the clinical decision-making process. fMRI data were collected from ten second year medical students (novices) and ten practicing gastroenterologists (experts) while they diagnosed sixteen (eight easy and eight hard) clinical cases via multiple-choice questions. Behavioral data were collected for diagnostic accuracy (correct/incorrect diagnosis) and time taken to assign a clinical diagnosis. Two analyses were performed with the fMRI data. First, data from easy and hard cases were compared within respective groups (easy > hard, hard > easy). Second, neural differences between novices and experts (novice > expert, expert > novice) were assessed. Experts correctly diagnosed more cases than novices and made their diagnoses faster than novices on both easy and hard cases (all p's < 0.05). Time taken to diagnose hard cases took significantly longer for both novices and experts. While similar neural areas were activated in both novices and experts during the decision making process, we identified significant hemispheric activation differences between novice and expert clinicians when diagnosing hard clinical cases. Specifically, novice clinicians had greater activations in the left anterior temporal cortex and left ventral lateral prefrontal cortex whereas expert clinicians had greater activations in the right

  7. Advances in designs for Alzheimer's disease clinical trials.

    PubMed

    Cummings, Jeffrey; Gould, Heath; Zhong, Kate

    2012-01-01

    There is an urgent need to identify new treatments for the rapidly growing population of people with Alzheimer's disease (AD). Innovations in clinical trial designs many help to reduce development time, provide more definitive answers regarding drug efficacy, and facilitate prioritizing compounds to be advanced to Phase III clinical trials. Standard designs compare drug and placebo changes from baseline on a rating scale. Baysian adaptive clinical trials allow the use of data collected in the trial to modify doses, sample size, trial duration, and entry criteria in an ongoing way as the data are collected. Disease-modification is supported by findings on staggered start and delayed withdrawal designs. Futility designs can use historical controls and may shorten trial duration. Combination therapy designs may allow investigation of additive or synergistic treatment effects. Novel trial selection criteria allow investigation of treatment effects in asymptomatic or minimally symptomatic, prodromal AD populations. The Clinical Dementia Rating-Sum of Boxes (CDR-SOB) can be considered as a single trial outcome in early disease populations. Alternate forms of the Alzheimer's Disease Assessment Scale-Cognitive Portion (ADAS-cog), computerized measures, and pharmacoeconomic scales provide new and relevant information on drug effects. Comparative dose strategies are used in trials of symptomatic agents, and novel methods including withdrawal designs, symptom emergence analyses, and sequential designs are being utilized to assess the efficacy of putative psychotropic agents. The choice of trial design is driven by the question to be answered by the clinical trial; an increasing number of design approaches are available and may be useful in accelerating and refining AD drug development.

  8. Advances in designs for Alzheimer’s disease clinical trials

    PubMed Central

    Cummings, Jeffrey; Gould, Heath; Zhong, Kate

    2012-01-01

    There is an urgent need to identify new treatments for the rapidly growing population of people with Alzheimer’s disease (AD). Innovations in clinical trial designs many help to reduce development time, provide more definitive answers regarding drug efficacy, and facilitate prioritizing compounds to be advanced to Phase III clinical trials. Standard designs compare drug and placebo changes from baseline on a rating scale. Baysian adaptive clinical trials allow the use of data collected in the trial to modify doses, sample size, trial duration, and entry criteria in an ongoing way as the data are collected. Disease-modification is supported by findings on staggered start and delayed withdrawal designs. Futility designs can use historical controls and may shorten trial duration. Combination therapy designs may allow investigation of additive or synergistic treatment effects. Novel trial selection criteria allow investigation of treatment effects in asymptomatic or minimally symptomatic, prodromal AD populations. The Clinical Dementia Rating-Sum of Boxes (CDR-SOB) can be considered as a single trial outcome in early disease populations. Alternate forms of the Alzheimer’s Disease Assessment Scale-Cognitive Portion (ADAS-cog), computerized measures, and pharmacoeconomic scales provide new and relevant information on drug effects. Comparative dose strategies are used in trials of symptomatic agents, and novel methods including withdrawal designs, symptom emergence analyses, and sequential designs are being utilized to assess the efficacy of putative psychotropic agents. The choice of trial design is driven by the question to be answered by the clinical trial; an increasing number of design approaches are available and may be useful in accelerating and refining AD drug development. PMID:23383393

  9. The interaction of patient race, provider bias, and clinical ambiguity on pain management decisions

    PubMed Central

    Hirsh, Adam T.; Hollingshead, Nicole A.; Ashburn-Nardo, Leslie; Kroenke, Kurt

    2015-01-01

    Although racial disparities in pain care are widely reported, much remains to be known about the role of provider and contextual factors. We used computer-simulated patients to examine the influence of patient race, provider racial bias, and clinical ambiguity on pain decisions. One hundred twenty nine medical residents/fellows made assessment (pain intensity) and treatment (opioid and non-opioid analgesics) decisions for 12 virtual patients with acute pain. Race (Black/White) and clinical ambiguity (high/low) were manipulated across vignettes. Participants completed the Implicit Association Test and feeling thermometers, which assess implicit and explicit racial biases, respectively. Individual- and group-level analyses indicated that race and ambiguity had an interactive effect on providers’ decisions, such that decisions varied as a function of ambiguity for White but not Black patients. Individual differences across providers were observed for the effect of race and ambiguity on decisions; however providers’ implicit and explicit biases did not account for this variability. These data highlight the complexity of racial disparities and suggest that differences in care between White and Black patients are, in part, attributable to the nature (i.e., ambiguity) of the clinical scenario. The current study suggests that interventions to reduce disparities should differentially target patient, provider, and contextual factors. PMID:25828370

  10. Potential Role of Methylation Marker in Glioma Supporting Clinical Decisions

    PubMed Central

    Roszkowski, Krzysztof; Furtak, Jacek; Zurawski, Bogdan; Szylberg, Tadeusz; Lewandowska, Marzena A.

    2016-01-01

    The IDH1/2 gene mutations, ATRX loss/mutation, 1p/19q status, and MGMT promoter methylation are increasingly used as prognostic or predictive biomarkers of gliomas. However, the effect of their combination on radiation therapy outcome is discussable. Previously, we demonstrated that the IDH1 c.G395A; p.R132H mutation was associated with longer survival in grade II astrocytoma and GBM (Glioblastoma). Here we analyzed the MGMT promoter methylation status in patients with a known mutation status in codon 132 of IDH1, followed by clinical and genetic data analysis based on the two statuses. After a subtotal tumor resection, the patients were treated using IMRT (Intensity-Modulated Radiation Therapy) with 6 MeV photons. The total dose was: 54 Gy for astrocytoma II, 60 Gy for astrocytoma III, 60 Gy for glioblastoma, 2 Gy per day, with 24 h intervals, five days per week. The patients with MGMT promoter methylation and IDH1 somatic mutation (OS = 40 months) had a better prognosis than those with MGMT methylation alone (OS = 18 months). In patients with astrocytoma anaplasticum (n = 7) with the IDH1 p.R132H mutation and hypermethylated MGMT, the prognosis was particularly favorable (median OS = 47 months). In patients with astrocytoma II meeting the above criteria, the prognosis was also better than in those not meeting those criteria. The IDH1 mutation appears more relevant for the prognosis than MGMT methylation. The IDH1 p.R132H mutation combined with MGMT hypermethylation seems to be the most advantageous for treatment success. Patients not meeting those criteria may require more aggressive treatments. PMID:27834917

  11. Recent advances in medical imaging: anatomical and clinical applications.

    PubMed

    Grignon, Bruno; Mainard, Laurence; Delion, Matthieu; Hodez, Claude; Oldrini, Guillaume

    2012-10-01

    The aim of this paper was to present an overview of the most important recent advances in medical imaging and their potential clinical and anatomical applications. Dramatic changes have been particularly observed in the field of computed tomography (CT) and magnetic resonance imaging (MRI). Computed tomography (CT) has been completely overturned by the successive development of helical acquisition, multidetector and large area-detector acquisition. Visualising brain function has become a new challenge for MRI, which is called functional MRI, currently based principally on blood oxygenation level-dependent sequences, which could be completed or replaced by other techniques such as diffusion MRI (DWI). Based on molecular diffusion due to the thermal energy of free water, DWI offers a spectrum of anatomical and clinical applications, ranging from brain ischemia to visualisation of large fibrous structures of the human body such as the anatomical bundles of white matter with diffusion tensor imaging and tractography. In the field of X-ray projection imaging, a new low-dose device called EOS has been developed through new highly sensitive detectors of X-rays, allowing for acquiring frontal and lateral images simultaneously. Other improvements have been briefly mentioned. Technical principles have been considered in order to understand what is most useful in clinical practice as well as in the field of anatomical applications. Nuclear medicine has not been included.

  12. Advances in functional magnetic resonance imaging: technology and clinical applications.

    PubMed

    Dickerson, Bradford C

    2007-07-01

    Functional MRI (fMRI) is a valuable method for use by clinical investigators to study task-related brain activation in patients with neurological or neuropsychiatric illness. Despite the relative infancy of the field, the rapid adoption of this functional neuroimaging technology has resulted from, among other factors, its ready availability, its relatively high spatial and temporal resolution, and its safety as a noninvasive imaging tool that enables multiple repeated scans over the course of a longitudinal study, and thus may lend itself well as a measure in clinical drug trials. Investigators have used fMRI to identify abnormal functional brain activity during task performance in a variety of patient populations, including those with neurodegenerative, demyelinating, cerebrovascular, and other neurological disorders that highlight the potential utility of fMRI in both basic and clinical spheres of research. In addition, fMRI studies reveal processes related to neuroplasticity, including compensatory hyperactivation, which may be a universally-occurring, adaptive neural response to insult. Functional MRI is being used to study the modulatory effects of genetic risk factors for neurological disease on brain activation; it is being applied to differential diagnosis, as a predictive biomarker of disease course, and as a means to identify neural correlates of neurotherapeutic interventions. Technological advances are rapidly occurring that should provide new applications for fMRI, including improved spatial resolution, which promises to reveal novel insights into the function of fine-scale neural circuitry of the human brain in health and disease.

  13. Advances and applications of molecular cloning in clinical microbiology.

    PubMed

    Sharma, Kamal; Mishra, Ajay Kumar; Mehraj, Vikram; Duraisamy, Ganesh Selvaraj

    2014-10-01

    Molecular cloning is based on isolation of a DNA sequence of interest to obtain multiple copies of it in vitro. Application of this technique has become an increasingly important tool in clinical microbiology due to its simplicity, cost effectiveness, rapidity, and reliability. This review entails the recent advances in molecular cloning and its application in the clinical microbiology in the context of polymicrobial infections, recombinant antigens, recombinant vaccines, diagnostic probes, antimicrobial peptides, and recombinant cytokines. Culture-based methods in polymicrobial infection have many limitation, which has been overcome by cloning techniques and provide gold standard technique. Recombinant antigens produced by cloning technique are now being used for screening of HIV, HCV, HBV, CMV, Treponema pallidum, and other clinical infectious agents. Recombinant vaccines for hepatitis B, cholera, influenza A, and other diseases also use recombinant antigens which have replaced the use of live vaccines and thus reduce the risk for adverse effects. Gene probes developed by gene cloning have many applications including in early diagnosis of hereditary diseases, forensic investigations, and routine diagnosis. Industrial application of this technology produces new antibiotics in the form of antimicrobial peptides and recombinant cytokines that can be used as therapeutic agents.

  14. Clinical Advancements in the Targeted Therapies against Liver Fibrosis

    PubMed Central

    Nagórniewicz, Beata; Prakash, Jai

    2016-01-01

    Hepatic fibrosis, characterized by excessive accumulation of extracellular matrix (ECM) proteins leading to liver dysfunction, is a growing cause of mortality worldwide. Hepatocellular damage owing to liver injury leads to the release of profibrotic factors from infiltrating inflammatory cells that results in the activation of hepatic stellate cells (HSCs). Upon activation, HSCs undergo characteristic morphological and functional changes and are transformed into proliferative and contractile ECM-producing myofibroblasts. Over recent years, a number of therapeutic strategies have been developed to inhibit hepatocyte apoptosis, inflammatory responses, and HSCs proliferation and activation. Preclinical studies have yielded numerous targets for the development of antifibrotic therapies, some of which have entered clinical trials and showed improved therapeutic efficacy and desirable safety profiles. Furthermore, advancements have been made in the development of noninvasive markers and techniques for the accurate disease assessment and therapy responses. Here, we focus on the clinical developments attained in the field of targeted antifibrotics for the treatment of liver fibrosis, for example, small molecule drugs, antibodies, and targeted drug conjugate. We further briefly highlight different noninvasive diagnostic technologies and will provide an overview about different therapeutic targets, clinical trials, endpoints, and translational efforts that have been made to halt or reverse the progression of liver fibrosis. PMID:27999454

  15. Recent theoretical, neural, and clinical advances in sustained attention research.

    PubMed

    Fortenbaugh, Francesca C; DeGutis, Joseph; Esterman, Michael

    2017-03-05

    Models of attention often distinguish among attention subtypes, with classic models separating orienting, switching, and sustaining functions. Compared with other forms of attention, the neurophysiological basis of sustaining attention has received far less notice, yet it is known that momentary failures of sustained attention can have far-ranging negative effects in healthy individuals, and lasting sustained attention deficits are pervasive in clinical populations. In recent years, however, there has been increased interest in characterizing moment-to-moment fluctuations in sustained attention, in addition to the overall vigilance decrement, and understanding how these neurocognitive systems change over the life span and across various clinical populations. The use of novel neuroimaging paradigms and statistical approaches has allowed for better characterization of the neural networks supporting sustained attention and has highlighted dynamic interactions within and across multiple distributed networks that predict behavioral performance. These advances have also provided potential biomarkers to identify individuals with sustained attention deficits. These findings have led to new theoretical models explaining why sustaining focused attention is a challenge for individuals and form the basis for the next generation of sustained attention research, which seeks to accurately diagnose and develop theoretically driven treatments for sustained attention deficits that affect a variety of clinical populations.

  16. A clinical advancement program for registered nurses with an outpatient focus.

    PubMed

    Streeter, Bonnie L

    2007-01-01

    Clinical advancement programs have been in use for almost 30 years. Although clinical advancement programs have been designed for many areas, it appears that one has never been developed specific to the outpatient-focused registered nurse. This article describes the development of a clinical advancement program for non-hospital-based registered nurses employed at the Guthrie Clinic in Sayre, Pennsylvania and highlights recommendations for instituting this program in any outpatient setting.

  17. Knowledge of risk factors and the periodontal disease-systemic link in dental students' clinical decisions.

    PubMed

    Friesen, Lynn Roosa; Walker, Mary P; Kisling, Rebecca E; Liu, Ying; Williams, Karen B

    2014-09-01

    This study evaluated second-, third-, and fourth-year dental students' ability to identify systemic conditions associated with periodontal disease, risk factors most important for referral, and medications with an effect on the periodontium and their ability to apply this knowledge to make clinical decisions regarding treatment and referral of periodontal patients. A twenty-one question survey was administered at one U.S. dental school in the spring semester of 2012 to elicit the students' knowledge and confidence regarding clinical reasoning. The response rate was 86 percent. Periodontal risk factors were accurately selected by at least 50 percent of students in all three classes; these were poorly controlled diabetes, ≥6 mm pockets posteriorly, and lack of response to previous non-surgical therapy. Confidence in knowledge, knowledge of risk factors, and knowledge of medications with an effect on the periodontium improved with training and were predictive of better referral decision making. The greatest impact of training was seen on the students' ability to make correct decisions about referral and treatment for seven clinical scenarios. Although the study found a large increase in the students' abilities from the second through fourth years, the mean of 4.6 (out of 7) for the fourth-year students shows that, on average, those students missed correct treatment or referral on more than two of seven clinical cases. These results suggest that dental curricula should emphasize more critical decision making with respect to referral and treatment criteria in managing the periodontal patient.

  18. Improving Emergency Department Triage Classification with Computerized Clinical Decision Support at a Pediatric Hospital

    ERIC Educational Resources Information Center

    Kunisch, Joseph Martin

    2012-01-01

    Background: The Emergency Severity Index (ESI) is an emergency department (ED) triage classification system based on estimated patient-specific resource utilization. Rules for a computerized clinical decision support (CDS) system based on a patient's chief complaint were developed and tested using a stochastic model for predicting ESI scores.…

  19. 78 FR 35937 - Food and Drug Administration Decisions for Investigational Device Exemption Clinical...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-14

    ... revised and is being reissued for comment because the Food and Drug Administration Safety and Innovation... HUMAN SERVICES Food and Drug Administration Food and Drug Administration Decisions for Investigational Device Exemption Clinical Investigations; Draft Guidance for Industry and Food and Drug...

  20. Teaching metacognition in clinical decision-making using a novel mnemonic checklist: an exploratory study

    PubMed Central

    Chew, Keng Sheng; Durning, Steven J; van Merriënboer, Jeroen JG

    2016-01-01

    INTRODUCTION Metacognition is a cognitive debiasing strategy that clinicians can use to deliberately detach themselves from the immediate context of a clinical decision, which allows them to reflect upon the thinking process. However, cognitive debiasing strategies are often most needed when the clinician cannot afford the time to use them. A mnemonic checklist known as TWED (T = threat, W = what else, E = evidence and D = dispositional factors) was recently created to facilitate metacognition. This study explores the hypothesis that the TWED checklist improves the ability of medical students to make better clinical decisions. METHODS Two groups of final-year medical students from Universiti Sains Malaysia, Malaysia, were recruited to participate in this quasi-experimental study. The intervention group (n = 21) received educational intervention that introduced the TWED checklist, while the control group (n = 19) received a tutorial on basic electrocardiography. Post-intervention, both groups received a similar assessment on clinical decision-making based on five case scenarios. RESULTS The mean score of the intervention group was significantly higher than that of the control group (18.50 ± 4.45 marks vs. 12.50 ± 2.84 marks, p < 0.001). In three of the five case scenarios, students in the intervention group obtained higher scores than those in the control group. CONCLUSION The results of this study support the use of the TWED checklist to facilitate metacognition in clinical decision-making. PMID:26778635

  1. Evaluating the Effectiveness of Nurse-Focused Computerized Clinical Decision Support on Urinary Catheter Practice Guidelines

    ERIC Educational Resources Information Center

    Lang, Robin Lynn Neal

    2012-01-01

    A growing national emphasis has been placed on health information technology (HIT) with robust computerized clinical decision support (CCDS) integration into health care delivery. Catheter-associated urinary tract infection is the most frequent health care-associated infection in the United States and is associated with high cost, high volumes and…

  2. Clinical relevance of advanced glycation endproducts for vascular surgery.

    PubMed

    Meerwaldt, R; van der Vaart, M G; van Dam, G M; Tio, R A; Hillebrands, J-L; Smit, A J; Zeebregts, C J

    2008-08-01

    Atherosclerosis is the main contributor to cardiovascular disease and leads to intimal plaque formation, which may progress to plaque rupture with subsequent thromboembolic events and/or occlusion of the arterial lumen. There is increasing evidence that the development or progression of atherosclerosis is associated with advanced glycation endproducts (AGEs). AGEs are a heterogeneous group of compounds formed by the non-enzymatic reaction of reducing sugars with proteins, lipids, and nucleic acids. An increased understanding of the mechanisms of formation and interaction of AGEs has allowed the development of several potential anti-AGE strategies. This review summarizes AGE formation and biochemistry, the pathogeneic role of AGEs in cardiovascular disease, anti-AGE therapies and clinical relevance to vascular surgery.

  3. [Anticoagulant therapy clinic: moving towards Advanced Nursing Practice].

    PubMed

    Romero Ruiz, Adolfo; Parrado Borrego, Gema; Rodríguez González, José; Caparrós Miranda, Isabel S; Vargas Lirio, M Isabel; Ortiz Fernández, Primitiva

    2014-01-01

    There is currently around one million people receiving oral anticoagulants in Spain. The drug most used is acenocoumarol, which requires coagulation monitoring to ensure that the patient is within its normal therapeutic range. Patients usually start this treatment in a hospital clinic and, when they are stabilised, they are referred to primary care, where they are followed-up by their community nurses. The usual practice is that nurses are responsible for changes in the dose when the patients are outside the range. This practice is not performed by hospital nurses, despite having sufficient experience and knowledge to adequately manage these types of patients. An Advanced Nursing Practice model has been introduced into the Haematology management unit of the Hospital Universitario Virgen de la Victoria, Málaga. This involves various aspects of attention and care of patients on anticoagulant therapy, and includes adjusting the doses of their treatment following a catalogue of therapeutic and diagnostic ranges.

  4. Pancreatic neuroendocrine tumors: clinical features, diagnosis and medical treatment: advances.

    PubMed

    Ito, Tetsuhide; Igarashi, Hisato; Jensen, Robert T

    2012-12-01

    Pancreatic neuroendocrine tumors (pNETs) comprise with gastrointestinal carcinoids, the main groups of gastrointestinal neuroendocrine tumors (GI-NETs). Although these two groups of GI-NETs share many features including histological aspects; over-/ectopic expression of somatostatin receptors; the ability to ectopically secrete hormones/peptides/amines which can result in distinct functional syndromes; similar approaches used for tumor localization and some aspects of treatment, it is now generally agreed they should be considered separate. They differ in their pathogenesis, hormonal syndromes produced, many aspects of biological behaviour and most important, in their response to certain anti-tumour treatment (chemotherapy, molecular targeted therapies). In this chapter the clinical features of the different types of pNETs will be considered as well as aspects of their diagnosis and medical treatment of the hormone-excess state. Emphasis will be on controversial areas or recent advances. The other aspects of the management of these tumors (surgery, treatment of advanced disease, tumor localization) are not dealt with here, because they are covered in other chapters in this volume.

  5. Pancreatic neuroendocrine tumors: clinical features, diagnosis and medical treatment: advances

    PubMed Central

    Ito, Tetsuhide; Igarashi, Hisato; Jensen, Robert T.

    2013-01-01

    Pancreatic neuroendocrine tumors (pNETs) comprise with gastrointestinal carcinoids, the main groups of gastrointestinal neuroendocrine tumors (GI-NETs). Although these two groups of GI-NETs share many features including histological aspects; over-/ectopic expression of somatostatin receptors; the ability to ectopically secrete hormones/peptides/amines which can result in distinct functional syndromes; similar approaches used for tumor localization and some aspects of treatment, it is now generally agreed they should be considered separate. They differ in their pathogenesis, hormonal syndromes produced, many aspects of biological behavior and most important, in their response to certain anti-tumor treatment (chemotherapy, molecular targeted therapies). In this chapter the clinical features of the different types of pNETs will be considered as well as aspects of their diagnosis and medical treatment of the hormone-excess state. Emphasis will be on controversial areas or recent advances. The other aspects of the management of these tumors (surgery, treatment of advanced disease, tumor localization) are not dealt with here, because they are covered in other chapters in this volume. PMID:23582916

  6. The Effects of Clinical Decision Support Systems on Medication Safety: An Overview

    PubMed Central

    Jia, Pengli; Zhang, Longhao; Chen, Jingjing; Zhao, Pujing; Zhang, Mingming

    2016-01-01

    Background The clinical decision support system(CDSS) has potential to improving medication safety. However, the effects of the intervention were conflicting and uncertain. Meanwhile, the reporting and methodological quality of this field were unknown. Objective The aim of this overview is to evaluate the effects of CDSS on medication safety and to examine the methodological and reporting quality. Methods PubMed, Embase and Cochrane Library were searched to August 2015. Systematic reviews (SRs) investigating the effects of CDSS on medication safety were included. Outcomes were determined in advance and assessed separately for process of care and patient outcomes. The methodological quality was assessed by Assessment of Multiple Systematic Reviews (AMSTAR) and the reporting quality was examined by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results Twenty systematic reviews, consisting of 237 unique randomized controlled trials(RCTs) and 176 non-RCTs were included. Evidence that CDSS significantly impacted process of care was found in 108 out of 143 unique studies of the 16 SRs examining this effect (75%). Only 18 out of 90 unique studies of the 13 SRs reported significantly evidence that CDSS positively impacted patient outcomes (20%). Ratings for the overall scores of AMSTAR resulted in a mean score of 8.3 with a range of scores from 7.5 to 10.5. The reporting quality was varied. Some contents were particularly strong. However, some contents were poor. Conclusions CDSS reduces medication error by obviously improving process of care and inconsistently improving patient outcomes. Larger samples and longer-term studies are required to ensure more reliable evidence base on the effects of CDSS on patient outcomes. The methodological and reporting quality were varied and some realms need to be improved. PMID:27977697

  7. Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems

    PubMed Central

    DesAutels, Spencer J.; Fox, Zachary E.; Giuse, Dario A.; Williams, Annette M.; Kou, Qing-hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

    2016-01-01

    Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems. PMID:28269846

  8. Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

    PubMed

    DesAutels, Spencer J; Fox, Zachary E; Giuse, Dario A; Williams, Annette M; Kou, Qing-Hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

    2016-01-01

    Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems.

  9. Advances in thyroid cancer treatment: latest evidence and clinical potential

    PubMed Central

    Alonso-Gordoa, T.; Díez, J.J.; Durán, M.

    2015-01-01

    Advanced thyroid carcinoma is an infrequent tumor entity with limited treatment possibilities until recently. The extraordinary improvement in the comprehension of genetic and molecular alterations involving the RAS/RAF/mitogen-activated protein kinase and phosphatidylinositide 3-kinase/Akt/mammalian target of rapamycin signaling and interacting pathways that are involved in tumor survival, proliferation, differentiation, motility and angiogenesis have been the rationale for the development of new effective targeted therapies. Data coming from phase II clinical trials have confirmed the efficacy of those targeted agents against receptors in cell membrane and cytoplasmic molecules. Moreover, four of those investigational drugs, vandetanib, cabozantinib, sorafenib and lenvatinib, have reached a phase III clinical trial with favorable results in progression-free survival and overall survival in medullary thyroid carcinoma and differentiated thyroid carcinoma. Further analysis for an optimal approach has been conducted according to mutational profile and tumor subtypes. However, consistent results are still awaited and the research for adequate prognostic and predictive biomarkers is ongoing. The following report offers a comprehensive review from the rationale to the basis of targeted agents in the treatment of thyroid carcinoma. In addition, current and future therapeutic developments by the inhibition of further molecular targets are discussed in this setting. PMID:25553081

  10. [A computerised clinical decision-support system for the management of depression in Primary Care].

    PubMed

    Aragonès, Enric; Comín, Eva; Cavero, Myriam; Pérez, Víctor; Molina, Cristina; Palao, Diego

    2017-01-09

    Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times.

  11. A meta-analysis of confidence and judgment accuracy in clinical decision making.

    PubMed

    Miller, Deborah J; Spengler, Elliot S; Spengler, Paul M

    2015-10-01

    The overconfidence bias occurs when clinicians overestimate the accuracy of their clinical judgments. This bias is thought to be robust leading to an almost universal recommendation by clinical judgment scholars for clinicians to temper their confidence in clinical decision making. An extension of the Meta-Analysis of Clinical Judgment (Spengler et al., 2009) project, the authors synthesized over 40 years of research from 36 studies, from 1970 to 2011, in which the confidence ratings of 1,485 clinicians were assessed in relation to the accuracy of their judgments about mental health (e.g., diagnostic decision making, violence risk assessment, prediction of treatment failure) or psychological issues (e.g., personality assessment). Using a random effects model a small but statistically significant effect (r = .15; CI = .06, .24) was found showing that confidence is better calibrated with accuracy than previously assumed. Approximately 50% of the total variance between studies was due to heterogeneity and not to chance. Mixed effects and meta-regression moderator analyses revealed that confidence is calibrated with accuracy least when there are repeated judgments, and more when there are higher base rate problems, when decisions are made with written materials, and for earlier published studies. Sensitivity analyses indicate a bias toward publishing smaller sample studies with smaller or negative confidence-accuracy effects. Implications for clinical judgment research and for counseling psychology training and practice are discussed.

  12. Reward-Related Decision Making in Older Adults: Relationship to Clinical Presentation of Depression

    PubMed Central

    McGovern, Amanda R.; Alexopoulos, George S.; Yuen, Genevieve S.; Morimoto, Sarah Shizuko; Gunning, Faith M.

    2015-01-01

    Objective Impairment in reward processes has been found in individuals with depression and in the aging population. The purpose of this study was twofold: 1. To use an affective neuroscience probe to identify abnormalities in reward-related decision making in late-life depression. 2. To examine the relationship of reward-related decision making abnormalities in depressed, older adults to the clinical expression of apathy in depression. We hypothesized that relative to elderly, healthy subjects, depressed, elderly patients would exhibit impaired decision making and that apathetic, depressed patients would show greater impairment in decision making than non-apathetic, depressed patients. Methods We used the Iowa Gambling Task to examine reward-related decision making in 60 non-demented, elderly patients with non-psychotic major depression and 36 elderly, psychiatrically healthy participants. Apathy was quantified using the Apathy Evaluation Scale. Of those with major depression, 18 individuals reported clinically significant apathy whereas 42 participants did not have apathy. Results Older adults with depression and healthy comparison participants did not differ in their performance on the IGT. However, apathetic, depressed older adults adopted an advantageous strategy and selected cards from the conservative decks compared to non-apathetic, depressed older adults. Non-apathetic, depressed patients showed a failure to adopt a conservative strategy and persisted in making risky decisions throughout the task. Conclusions This study indicates that apathy in older, depressed adults is associated with a conservative response style on a behavioral probe of the systems involved in reward-related decision making. This conservative response style may be the result of reduced sensitivity to rewards in apathetic individuals. PMID:25306937

  13. Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary.

    PubMed

    Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda

    2014-02-01

    In April 2012, the National Institutes of Health organized a two-day workshop entitled 'Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making' (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients.

  14. Design and application of a generic clinical decision support system for multiscale data.

    PubMed

    Mattila, Jussi; Koikkalainen, Juha; Virkki, Arho; van Gils, Mark; Lötjönen, Jyrki

    2012-01-01

    Medical research and clinical practice are currently being redefined by the constantly increasing amounts of multiscale patient data. New methods are needed to translate them into knowledge that is applicable in healthcare. Multiscale modeling has emerged as a way to describe systems that are the source of experimental data. Usually, a multiscale model is built by combining distinct models of several scales, integrating, e.g., genetic, molecular, structural, and neuropsychological models into a composite representation. We present a novel generic clinical decision support system, which models a patient's disease state statistically from heterogeneous multiscale data. Its goal is to aid in diagnostic work by analyzing all available patient data and highlighting the relevant information to the clinician. The system is evaluated by applying it to several medical datasets and demonstrated by implementing a novel clinical decision support tool for early prediction of Alzheimer's disease.

  15. Fuzzy-Arden-Syntax-based, Vendor-agnostic, Scalable Clinical Decision Support and Monitoring Platform.

    PubMed

    Adlassnig, Klaus-Peter; Fehre, Karsten; Rappelsberger, Andrea

    2015-01-01

    This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for representing clinical and scientific knowledge in an executable format, and is maintained by Health Level Seven (HL7) International and approved by the American National Standards Institute (ANSI). Fuzzy set theory and logic permit the representation of knowledge and automated reasoning under linguistic and propositional uncertainty. These forms of uncertainty are a common feature of patients' medical data, the body of medical knowledge, and deductive clinical reasoning.

  16. Decision theory and the evaluation of risks and benefits of clinical trials.

    PubMed

    Bernabe, Rosemarie D C; van Thiel, Ghislaine J M W; Raaijmakers, Jan A M; van Delden, Johannes J M

    2012-12-01

    Research ethics committees (RECs) are tasked to assess the risks and the benefits of a clinical trial. In previous studies, it was shown that RECs find this task difficult, if not impossible, to do. The current approaches to benefit-risk assessment (i.e. Component Analysis and the Net Risk Test) confound the various risk-benefit tasks, and as such, make balancing impossible. In this article, we show that decision theory, specifically through the expected utility theory and multiattribute utility theory, enable for an explicit and ethically weighted risk-benefit evaluation. This makes a balanced ethical justification possible, and thus a more rationally defensible decision making.

  17. Clinical Decision Support Systems (CDSS) for preventive management of COPD patients

    PubMed Central

    2014-01-01

    Background The use of information and communication technologies to manage chronic diseases allows the application of integrated care pathways, and the optimization and standardization of care processes. Decision support tools can assist in the adherence to best-practice medicine in critical decision points during the execution of a care pathway. Objectives The objectives are to design, develop, and assess a clinical decision support system (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), which can be easily integrated into a healthcare providers' work-flow. Methods The software architecture model for the CDSS, interoperable clinical-knowledge representation, and inference engine were designed and implemented to form a base CDSS framework. The CDSS functionalities were iteratively developed through requirement-adjustment/development/validation cycles using enterprise-grade software-engineering methodologies and technologies. Within each cycle, clinical-knowledge acquisition was performed by a health-informatics engineer and a clinical-expert team. Results A suite of decision-support web services for (i) COPD early detection and diagnosis, (ii) spirometry quality-control support, (iii) patient stratification, was deployed in a secured environment on-line. The CDSS diagnostic performance was assessed using a validation set of 323 cases with 90% specificity, and 96% sensitivity. Web services were integrated in existing health information system platforms. Conclusions Specialized decision support can be offered as a complementary service to existing policies of integrated care for chronic-disease management. The CDSS was able to issue recommendations that have a high degree of accuracy to support COPD case-finding. Integration into healthcare providers' work-flow can be achieved seamlessly through the use of a modular design and service-oriented architecture that connect to existing health

  18. Development of a clinical decision support system for diabetes care: A pilot study.

    PubMed

    Sim, Livvi Li Wei; Ban, Kenneth Hon Kim; Tan, Tin Wee; Sethi, Sunil Kumar; Loh, Tze Ping

    2017-01-01

    Management of complex chronic diseases such as diabetes requires the assimilation and interpretation of multiple laboratory test results. Traditional electronic health records tend to display laboratory results in a piecemeal and segregated fashion. This makes the assembly and interpretation of results related to diabetes care challenging. We developed a diabetes-specific clinical decision support system (Diabetes Dashboard) interface for displaying glycemic, lipid and renal function results, in an integrated form with decision support capabilities, based on local clinical practice guidelines. The clinical decision support system included a dashboard feature that graphically summarized all relevant laboratory results and displayed them in a color-coded system that allowed quick interpretation of the metabolic control of the patients. An alert module informs the user of tests that are due for repeat testing. An interactive graph module was also developed for better visual appreciation of the trends of the laboratory results of the patient. In a pilot study involving case scenarios administered via an electronic questionnaire, the Diabetes Dashboard, compared to the existing laboratory reporting interface, significantly improved the identification of abnormal laboratory results, of the long-term trend of the laboratory tests and of tests due for repeat testing. However, the Diabetes Dashboard did not significantly improve the identification of patients requiring treatment adjustment or the amount of time spent on each case scenario. In conclusion, we have developed and shown that the use of the Diabetes Dashboard, which incorporates several decision support features, can improve the management of diabetes. It is anticipated that this dashboard will be most helpful when deployed in an outpatient setting, where physicians can quickly make clinical decisions based on summarized information and be alerted to pertinent areas of care that require additional attention.

  19. Development of a clinical decision support system for diabetes care: A pilot study

    PubMed Central

    Sim, Livvi Li Wei; Ban, Kenneth Hon Kim; Tan, Tin Wee; Sethi, Sunil Kumar; Loh, Tze Ping

    2017-01-01

    Management of complex chronic diseases such as diabetes requires the assimilation and interpretation of multiple laboratory test results. Traditional electronic health records tend to display laboratory results in a piecemeal and segregated fashion. This makes the assembly and interpretation of results related to diabetes care challenging. We developed a diabetes-specific clinical decision support system (Diabetes Dashboard) interface for displaying glycemic, lipid and renal function results, in an integrated form with decision support capabilities, based on local clinical practice guidelines. The clinical decision support system included a dashboard feature that graphically summarized all relevant laboratory results and displayed them in a color-coded system that allowed quick interpretation of the metabolic control of the patients. An alert module informs the user of tests that are due for repeat testing. An interactive graph module was also developed for better visual appreciation of the trends of the laboratory results of the patient. In a pilot study involving case scenarios administered via an electronic questionnaire, the Diabetes Dashboard, compared to the existing laboratory reporting interface, significantly improved the identification of abnormal laboratory results, of the long-term trend of the laboratory tests and of tests due for repeat testing. However, the Diabetes Dashboard did not significantly improve the identification of patients requiring treatment adjustment or the amount of time spent on each case scenario. In conclusion, we have developed and shown that the use of the Diabetes Dashboard, which incorporates several decision support features, can improve the management of diabetes. It is anticipated that this dashboard will be most helpful when deployed in an outpatient setting, where physicians can quickly make clinical decisions based on summarized information and be alerted to pertinent areas of care that require additional attention. PMID

  20. Improving Decision Making about Genetic Testing in the Clinic: An Overview of Effective Knowledge Translation Interventions

    PubMed Central

    Légaré, France; Robitaille, Hubert; Gane, Claire; Hébert, Jessica; Labrecque, Michel; Rousseau, François

    2016-01-01

    Background Knowledge translation (KT) interventions are attempts to change behavior in keeping with scientific evidence. While genetic tests are increasingly available to healthcare consumers in the clinic, evidence about their benefits is unclear and decisions about genetic testing are thus difficult for all parties. Objective We sought to identify KT interventions that involved decisions about genetic testing in the clinical context and to assess their effectiveness for improving decision making in terms of behavior change, increased knowledge and wellbeing. Methods We searched for trials assessing KT interventions in the context of genetic testing up to March 2014 in all systematic reviews (n = 153) published by two Cochrane review groups: Effective Practice and Organisation of Care (EPOC) and Consumers and Communication. Results We retrieved 2473 unique trials of which we retained only 28 (1%). Two EPOC reviews yielded two trials of KT interventions: audit and feedback (n = 1) and educational outreach (n = 1). Both targeted health professionals and the KT intervention they assessed was found to be effective. Four Consumers and Communication reviews yielded 26 trials: decision aids (n = 15), communication of DNA-based disease risk estimates (n = 7), personalized risk communication (n = 3) and mobile phone messaging (n = 1). Among these, 25 trials targeted only health consumers or patients and the KT interventions were found to be effective in four trials, partly effective in seven, and ineffective in four. Lastly, only one trial targeted both physicians and patients and was found to be effective. Conclusions More research on the effectiveness of KT interventions regarding genetic testing in the clinical context may contribute to patients making informed value-based decisions and drawing the maximum benefit from clinical applications of genetic and genomic innovations. PMID:26938633

  1. Intricate decision making: ambivalences and barriers when fulfilling an advance directive

    PubMed Central

    Schröder, Lars; Hommel, Gerhard; Sahm, Stephan

    2016-01-01

    Background Despite a recent statutory ruling stating the binding nature of advance directives (ADs), only a minority of the population has signed one. Yet, a majority deem it of utmost importance to ensure their wishes are followed through in case they are no longer able to decide. The reasons for this discrepancy have not yet been investigated sufficiently. Patients and methods This article is based on a survey of patients using a well-established structured questionnaire. First, patients were asked about their attitudes with respect to six therapeutic options at the end of life: intravenous fluids, artificial feeding, antibiotics, analgesia, chemotherapy/dialysis, and artificial ventilation; and second, they were asked about the negative effects related to the idea of ADs surveying their apprehensions: coercion to fulfill an AD, dictatorial reading of what had been laid down, and abuse of ADs. Results A total of 1,260 interviewees completed the questionnaires. A significant percentage of interviewees were indecisive with respect to therapeutic options, ranging from 25% (analgesia) to 45% (artificial feeding). There was no connection to health status. Apprehensions about unwanted effects of ADs were widespread, at 51%, 35%, and 43% for coercion, dictatorial reading, and abuse, respectively. Conclusion A significant percentage of interviewees were unable to anticipate decisions about treatment options at the end of life. Apprehensions about negative adverse effects of ADs are widespread. PMID:27574407

  2. Chemotherapy in advanced ovarian cancer: an overview of randomised clinical trials. Advanced Ovarian Cancer Trialists Group.

    PubMed Central

    1991-01-01

    OBJECTIVES--To consider the role of platinum and the relative merits of single agent and combination chemotherapy in the treatment of advanced ovarian cancer. DESIGN--Formal quantitative overview using updated individual patient data from all available randomised trials (published and unpublished). SUBJECTS--8139 patients (6408 deaths) included in 45 different trials. RESULTS--No firm conclusions could be reached. Nevertheless, the results suggest that in terms of survival immediate platinum based treatment was better than non-platinum regimens (overall relative risk 0.93; 95% confidence interval 0.83 to 1.05); platinum in combination was better than single agent platinum when used in the same dose (overall relative risk 0.85; 0.72 to 1.00); and cisplatin and carboplatin were equally effective (overall relative risk 1.05; 0.94 to 1.18). CONCLUSIONS--In the past, randomised clinical trials of chemotherapy in advanced ovarian cancer have been much too small to detect the degree of benefit which this overview suggests is realistic for currently available chemotherapeutic regimens. Hence a new trial comparing cisplatin, doxorubicin, and cyclophosphamide (CAP) with carboplatin has been launched and plans to accrue 2000 patients. PMID:1834291

  3. Cancer Pharmacogenomics: Integrating Discoveries in Basic, Clinical and Population Sciences to Advance Predictive Cancer Care

    Cancer.gov

    Cancer Pharmacogenomics: Integrating Discoveries in Basic, Clinical and Population Sciences to Advance Predictive Cancer Care, a 2010 workshop sponsored by the Epidemiology and Genomics Research Program.

  4. Risks, dangers and competing clinical decisions on venous thromboembolism prophylaxis in hospital care.

    PubMed

    Boiko, Olga; Sheaff, Rod; Child, Susan; Gericke, Christian A

    2014-07-01

    Drawing on wider sociologies of risk, this article examines the complexity of clinical risks and their management, focusing on risk management systems, expert decision-making and safety standards in health care. At the time of this study preventing venous thromboembolism (VTE) among in-patients was one of the top priorities for hospital safety in the English National Health Service (NHS). An analysis of 50 interviews examining hospital professionals' perceptions about VTE risks and prophylaxis illuminates how National Institute for Health and Clinical Excellence (NICE) guidelines influenced clinical decision-making in four hospitals in one NHS region. We examine four themes: the identification of new risks, the institutionalisation and management of risk, the relationship between risk and danger and the tensions between risk management systems and expert decision-making. The implementation of NICE guidelines for VTE prevention extended managerial control over risk management but some irreducible clinical dangers remained that were beyond the scope of the new VTE risk management systems. Linking sociologies of risk with the realities of hospital risk management reveals the capacity of these theories to illuminate both the possibilities and the limits of managerialism in health care.

  5. The future in clinical genetics: affective forecasting biases in patient and clinician decision making.

    PubMed

    Peters, S A; Laham, S M; Pachter, N; Winship, I M

    2014-04-01

    When clinicians facilitate and patients make decisions about predictive genetic testing, they often base their choices on the predicted emotional consequences of positive and negative test results. Research from psychology and decision making suggests that such predictions may often be biased. Work on affective forecasting-predicting one's future emotional states-shows that people tend to overestimate the impact of (especially negative) emotional events on their well-being; a phenomenon termed the impact bias. In this article, we review the causes and consequences of the impact bias in medical decision making, with a focus on applying such findings to predictive testing in clinical genetics. We also recommend strategies for reducing the impact bias and consider the ethical and practical implications of doing so.

  6. Multi-site evaluation of a clinical decision support system for radiation therapy

    NASA Astrophysics Data System (ADS)

    Deshpande, Ruchi; DeMarco, John; Kessel, Kerstin; Liu, Brent J.

    2016-03-01

    We have developed an imaging informatics based decision support system that learns from retrospective treatment plans to provide recommendations for healthy tissue sparing to prospective incoming patients. This system incorporates a model of best practices from previous cases, specific to tumor anatomy. Ultimately, our hope is to improve clinical workflow efficiency, patient outcomes and to increase clinician confidence in decision-making. The success of such a system depends greatly on the training dataset, which in this case, is the knowledge base that the data-mining algorithm employs. The size and heterogeneity of the database is essential for good performance. Since most institutions employ standard protocols and practices for treatment planning, the diversity of this database can be greatly increased by including data from different institutions. This work presents the results of incorporating cross-country, multi-institutional data into our decision support system for evaluation and testing.

  7. Clinical Decision Support using a Terminology Server to improve Patient Safety.

    PubMed

    Garcia-Jimenez, Alba; Moreno-Conde, Alberto; Martínez-García, Alicia; Marín-León, Ignacio; Medrano-Ortega, Francisco Javier; Parra-Calderón, Carlos L

    2015-01-01

    Clinical Decision Support Systems (CDSS) are software applications that support clinicians in making healthcare decisions providing relevant information for individual patients about their specific conditions. The lack of integration between CDSS and Electronic Health Record (EHR) has been identified as a significant barrier to CDSS development and adoption. Andalusia Healthcare Public System (AHPS) provides an interoperable health information infrastructure based on a Service Oriented Architecture (SOA) that eases CDSS implementation. This paper details the deployment of a CDSS jointly with the deployment of a Terminology Server (TS) within the AHPS infrastructure. It also explains a case study about the application of decision support to thromboembolism patients and its potential impact on improving patient safety. We will apply the inSPECt tool proposal to evaluate the appropriateness of alerts in this scenario.

  8. Implementation of an advanced clinical and administrative hospital information system.

    PubMed

    Vegoda, P R; Dyro, J F

    1986-01-01

    Over the last six years since University Hospital opened, the University Hospital Information System (UHIS) has continued to evolve to what is today an advanced administrative and clinical information system. At University Hospital UHIS is the way of conducting business. A wide range of patient care applications are operational including Patient Registration, ADT for Inpatient/Outpatient/Emergency Room visits, Advanced Order Entry/Result Reporting, Medical Records, Lab Automated Data Acquisition/Quality Control, Pharmacy, Radiology, Dietary, Respiratory Therapy, ECG, EEG, Cardiology, Physical/Occupational Therapy and Nursing. These systems and numerous financial systems have been installed in a highly tuned, efficient computer system. All applications are real-time, on-line, and data base oriented. Each system is provided with multiple data security levels, forward file recovery, and dynamic transaction backout of in-flight tasks. Sensitive medical information is safeguarded by job function passwords, identification codes, need-to-know master screens and terminal keylocks. University Hospital has an IBM 3083 CPU with five 3380 disk drives, four dual density tape drives, and a 3705 network controller. The network of 300 terminals and 100 printers is connected to the computer center by an RF broadband cable. The software is configured around the IBM/MVS operating system using CICS as the telecommunication monitor, IMS as the data base management system and PCS/ADS as the application enabling tool. The most extensive clinical system added to UHIS is the Physiological Monitoring/Patient Data Management System with serves 92 critical care beds. In keeping with the Hospital's philosophy of integrated computing, the PMS/PDMS with its network of minicomputers was linked to the UHIS system. In a pilot program, remote access to UHIS through the IBM personal computer has been implemented in several physician offices in the local community, further extending the communications

  9. The role of advance euthanasia directives as an aid to communication and shared decision-making in dementia.

    PubMed

    Hertogh, C M P M

    2009-02-01

    Recent evaluation of the practice of euthanasia and related medical decisions at the end of life in the Netherlands has shown a slight decrease in the frequency of physician-assisted death since the enactment of the Euthanasia Law in 2002. This paper focuses on the absence of euthanasia cases concerning patients with dementia and a written advance euthanasia directive, despite the fact that the only real innovation of the Euthanasia Law consisted precisely in allowing physicians to act upon such directives. The author discusses two principal reasons for this absence. One relates to the uncertainty about whether patients with advanced dementia truly experience the suffering they formerly feared. There is reason to assume that they don't, as a consequence of psychological adaptation and progressive unawareness (anosognosia). The second, more fundamental reason touches upon the ethical relevance of shared understanding and reciprocity. The author argues that, next to autonomy and mercifulness, "reciprocity" is a condition sine qua non for euthanasia. The absence thereof in advanced dementia renders euthanasia morally inconceivable, even if there are signs of suffering and notwithstanding the presence of an advance euthanasia directive. This does not mean, however, that advance euthanasia directives of patients with dementia are worthless. They might very well have a role in the earlier stages of certain subtypes of the disease. To illustrate this point the author presents a case in which the advance directive helped to create a window of opportunity for reciprocity and shared decision-making.

  10. Designing a Clinical Framework to Guide Gross Motor Intervention Decisions for Infants and Young Children with Hypotonia

    ERIC Educational Resources Information Center

    Darrah, Johanna; O'Donnell, Maureen; Lam, Joyce; Story, Maureen; Wickenheiser, Diane; Xu, Kaishou; Jin, Xiaokun

    2013-01-01

    Clinical practice frameworks are a valuable component of clinical education, promoting informed clinical decision making based on the best available evidence and/or clinical experience. They encourage standardized intervention approaches and evaluation of practice. Based on an international project to support the development of an enhanced service…

  11. FAmily CEntered (FACE) advance care planning: Study design and methods for a patient-centered communication and decision-making intervention for patients with HIV/AIDS and their surrogate decision-makers.

    PubMed

    Kimmel, Allison L; Wang, Jichuan; Scott, Rachel K; Briggs, Linda; Lyon, Maureen E

    2015-07-01

    Although the human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) has become a chronic illness, disease-specific advance care planning has not yet been evaluated for the palliative care needs of adults with HIV/AIDS. This prospective, longitudinal, randomized, two-arm controlled clinical trial aims to test the efficacy of FAmily CEntered advance care planning among adults living with AIDS and/or HIV with co-morbidities on congruence in treatment preferences, healthcare utilization, and quality of life. The FAmily CEntered intervention arm is two face-to-face sessions with a trained, certified facilitator: Session 1) Disease-Specific Advance Care Planning Respecting Choices Interview; Session 2) Completion of advance directive. The Healthy Living Control arm is: Session 1) Developmental/Relationship History; Session 2) Nutrition. Follow-up data will be collected at 3, 6, 12, and 18 months post-intervention. A total of 288 patient/surrogate dyads will be enrolled from five hospital-based, out-patient clinics in Washington, District of Columbia. Participants will be HIV positive and ≥ 21 years of age; surrogates will be ≥ 18 years of age. Exclusion criteria are homicidality, suicidality, psychosis, and impaired cognitive functioning. We hypothesize that this intervention will enhance patient-centered communication with a surrogate decision-maker about end of life treatment preferences over time, enhance patient quality of life and decrease health care utilization. We further hypothesize that this intervention will decrease health disparities for Blacks in completion of advance directives. If proposed aims are achieved, the benefits of palliative care, particularly increased treatment preferences about end-of-life care and enhanced quality of life, will be extended to people living with AIDS.

  12. THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING.

    PubMed

    van Ryn, Michelle; Burgess, Diana J; Dovidio, John F; Phelan, Sean M; Saha, Somnath; Malat, Jennifer; Griffin, Joan M; Fu, Steven S; Perry, Sylvia

    2011-04-01

    Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians' behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians' behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations.

  13. THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING

    PubMed Central

    van Ryn, Michelle; Burgess, Diana J.; Dovidio, John F.; Phelan, Sean M.; Saha, Somnath; Malat, Jennifer; Griffin, Joan M.; Fu, Steven S.; Perry, Sylvia

    2014-01-01

    Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians’ behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians’ behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations. PMID:24761152

  14. Lung Cancer Assistant: a hybrid clinical decision support application for lung cancer care

    PubMed Central

    Sesen, M. Berkan; Peake, Michael D.; Banares-Alcantara, Rene; Tse, Donald; Kadir, Timor; Stanley, Roz; Gleeson, Fergus; Brady, Michael

    2014-01-01

    Multidisciplinary team (MDT) meetings are becoming the model of care for cancer patients worldwide. While MDTs have improved the quality of cancer care, the meetings impose substantial time pressure on the members, who generally attend several such MDTs. We describe Lung Cancer Assistant (LCA), a clinical decision support (CDS) prototype designed to assist the experts in the treatment selection decisions in the lung cancer MDTs. A novel feature of LCA is its ability to provide rule-based and probabilistic decision support within a single platform. The guideline-based CDS is based on clinical guideline rules, while the probabilistic CDS is based on a Bayesian network trained on the English Lung Cancer Audit Database (LUCADA). We assess rule-based and probabilistic recommendations based on their concordances with the treatments recorded in LUCADA. Our results reveal that the guideline rule-based recommendations perform well in simulating the recorded treatments with exact and partial concordance rates of 0.57 and 0.79, respectively. On the other hand, the exact and partial concordance rates achieved with probabilistic results are relatively poorer with 0.27 and 0.76. However, probabilistic decision support fulfils a complementary role in providing accurate survival estimations. Compared to recorded treatments, both CDS approaches promote higher resection rates and multimodality treatments. PMID:24990290

  15. The anatomy of clinical decision-making in multidisciplinary cancer meetings

    PubMed Central

    Soukup, Tayana; Petrides, Konstantinos V.; Lamb, Benjamin W.; Sarkar, Somita; Arora, Sonal; Shah, Sujay; Darzi, Ara; Green, James S. A.; Sevdalis, Nick

    2016-01-01

    Abstract In the UK, treatment recommendations for patients with cancer are routinely made by multidisciplinary teams in weekly meetings. However, their performance is variable. The aim of this study was to explore the underlying structure of multidisciplinary decision-making process, and examine how it relates to team ability to reach a decision. This is a cross-sectional observational study consisting of 1045 patient reviews across 4 multidisciplinary cancer teams from teaching and community hospitals in London, UK, from 2010 to 2014. Meetings were chaired by surgeons. We used a validated observational instrument (Metric for the Observation of Decision-making in Cancer Multidisciplinary Meetings) consisting of 13 items to assess the decision-making process of each patient discussion. Rated on a 5-point scale, the items measured quality of presented patient information, and contributions to review by individual disciplines. A dichotomous outcome (yes/no) measured team ability to reach a decision. Ratings were submitted to Exploratory Factor Analysis and regression analysis. The exploratory factor analysis produced 4 factors, labeled “Holistic and Clinical inputs” (patient views, psychosocial aspects, patient history, comorbidities, oncologists’, nurses’, and surgeons’ inputs), “Radiology” (radiology results, radiologists’ inputs), “Pathology” (pathology results, pathologists’ inputs), and “Meeting Management” (meeting chairs’ and coordinators’ inputs). A negative cross-loading was observed from surgeons’ input on the fourth factor with a follow-up analysis showing negative correlation (r = −0.19, P < 0.001). In logistic regression, all 4 factors predicted team ability to reach a decision (P < 0.001). Hawthorne effect is the main limitation of the study. The decision-making process in cancer meetings is driven by 4 underlying factors representing the complete patient profile and contributions to case review by all core

  16. Replacing the mercury manometer with an oscillometric device in a hypertension clinic: implications for clinical decision making.

    PubMed

    Stergiou, G S; Lourida, P; Tzamouranis, D

    2011-11-01

    Oscillometric devices are being widely used for ambulatory, home and office blood pressure (BP) measurement, and several of them have been validated using established protocols. This cross-sectional study assessed the impact on antihypertensive treatment decisions of replacing the mercury sphygmomanometer by a validated oscillometric device. Consecutive subjects attending a hypertension clinic had triplicate simultaneous same-arm BP measurements using a mercury sphygmomanometer and a validated professional oscillometric device. For each device, uncontrolled hypertension was defined as average BP ≥140/90 mm Hg (systolic/diastolic). A total of 5108 simultaneous BP measurements were obtained from 763 subjects in 1717 clinic visits. In 24% of all visits, the mercury and the oscillometric BP measurements led to different conclusion regarding the diagnosis of uncontrolled hypertension. In 4.9% of the visits, the diagnostic disagreement was considered as 'clinically important' (BP exceeding the diagnostic threshold by >5 mm Hg). These data suggest that the replacement of the mercury sphygmomanometer by a validated professional oscillometric device will result into different treatment decisions in about 5% of the cases. Therefore, and because of the known problems when using mercury devices and the auscultatory technique in clinical practise, the oscillometric devices are regarded as reliable alternatives to the mercury sphygmomanometer for office use.

  17. Clinical judgment and decision making in wound assessment and management: is experience enough?

    PubMed

    Logan, Gemma

    2015-03-01

    The assessment and management of wounds forms a large proportion of community nurses' workload, often requiring judgment and decision-making in complex, challenging and uncertain circumstances. The processes through which nurses form judgments and make decisions within this context are reviewed in this article against existing theories on these on these subjects. There is variability in wound assessment and management practice which may be attributed to uncertainties within the context, a lack of knowledge in appropriate treatment choices and the inability to correctly value the importance of the clinical information presented. Nurses may be required to draw on intuition to guide their judgments and decision-making by association with experience and expertise. In addition, a step-by-step analytical approach underpinned by an evidence base may be required to ensure accuracy in practice. Developing an understanding of the different theories of judgment and decision-making may facilitate nurses' abilities to reflect on their own decision tasks, thereby enhancing the care provided.

  18. Genetic and clinical advances in congenital long QT syndrome.

    PubMed

    Mizusawa, Yuka; Horie, Minoru; Wilde, Arthur A M

    2014-01-01

    Congenital long QT syndrome (LQTS) is an inherited arrhythmia syndrome characterized by a prolonged QT interval on the 12-lead ECG, torsades de pointes and a higher chance of sudden cardiac death. LQTS segregates in a Mendelian fashion, which includes Romano-Ward syndrome with an autosomal dominant pattern as well as a rare autosomal recessive pattern (Jervell and Lange-Nielsen syndrome). Since 1957 when Jervell and Lange-Nielsen reported the first familial LQTS with congenital deafness, progress in understanding the genetic and electrophysiological mechanisms of LQTS has tremendously improved diagnostic methods and treatments. In the meantime, it has become evident that LQTS may not always be explained by a single gene mutation, but seems to follow a more complex genetic model intertwined with genetic common polymorphisms that have a mild to moderate effect on disease expression. In this review, we summarize the characteristics of LQTS (mainly LQT1-3) and briefly describe the most recent advances in LQTS clinical diagnostics as well as genetics.

  19. Functional neuroimaging of traumatic brain injury: advances and clinical utility

    PubMed Central

    Irimia, Andrei; Van Horn, John Darrell

    2015-01-01

    Functional deficits due to traumatic brain injury (TBI) can have significant and enduring consequences upon patients’ life quality and expectancy. Although functional neuroimaging is essential for understanding TBI pathophysiology, an insufficient amount of effort has been dedicated to the task of translating functional neuroimaging findings into information with clinical utility. The purpose of this review is to summarize the use of functional neuroimaging techniques – especially functional magnetic resonance imaging, diffusion tensor imaging, positron emission tomography, magnetic resonance spectroscopy, and electroencephalography – for advancing current knowledge of TBI-related brain dysfunction and for improving the rehabilitation of TBI patients. We focus on seven core areas of functional deficits, namely consciousness, motor function, attention, memory, higher cognition, personality, and affect, and, for each of these, we summarize recent findings from neuroimaging studies which have provided substantial insight into brain function changes due to TBI. Recommendations are also provided to aid in setting the direction of future neuroimaging research and for understanding brain function changes after TBI. PMID:26396520

  20. Conflicts of interest in research: is clinical decision-making compromised? An opinion paper.

    PubMed

    Adibi, Shawn; Abidi, Shawn; Bebermeyer, Richard D

    2010-08-01

    Lack of transparency in funded research can compromise clinical decision-making in an evidence-based practice. Transparency can be defined as full disclosure of all financial assistance and support to authors and investigators. There is a perception that ethical principles are eroding and that research data can be biased due to conflicts of interest. These research outcomes biased or not, are used for clinical decision-making in the evidence-based practice. One suggested solution to this common ethical dilemma is to continue the dialogue on transparency in research and to create oversight bodies which include representatives from business and industry, private practice, academia, and research. There is increasing evidence of the need for more ethics education at all levels.

  1. WHAT ARE 'BEST INTERESTS'? A CRITICAL EVALUATION OF 'BEST INTERESTS' DECISION-MAKING IN CLINICAL PRACTICE.

    PubMed

    Taylor, Helen J

    2016-01-01

    Obtaining the patient's consent is usually a prerequisite of any clinical intervention. However, some cognitively impaired patients may not be able to give valid consent. Following years of consultation and legislative review, the Mental Capacity Act 2005 (MCA) provides a statutory framework of 'best interests' decision-making on behalf of incapacitated individuals. However, confusion over the meaning and application of the 'best interests' standard persists. This paper explores the variation in judicial interpretation of the standard and the complexities of best interests decision-making in clinical practice. Prevailing confusion and risk-aversive practices mean that the rights and interests of cognitively impaired individuals continue to be compromised, with evidence to suggest that 'best interests' may be conflated with the clinician's evaluation of 'best medical interests'.

  2. The perils of meta-regression to identify clinical decision support system success factors.

    PubMed

    Fillmore, Christopher L; Rommel, Casey A; Welch, Brandon M; Zhang, Mingyuan; Kawamoto, Kensaku

    2015-08-01

    Clinical decision support interventions are typically heterogeneous in nature, making it difficult to identify why some interventions succeed while others do not. One approach to identify factors important to the success of health information systems is the use of meta-regression techniques, in which potential explanatory factors are correlated with the outcome of interest. This approach, however, can result in misleading conclusions due to several issues. In this manuscript, we present a cautionary case study in the context of clinical decision support systems to illustrate the limitations of this type of analysis. We then discuss implications and recommendations for future work aimed at identifying success factors of medical informatics interventions. In particular, we identify the need for head-to-head trials in which the importance of system features is directly evaluated in a prospective manner.

  3. A Serious Game for Teaching Nursing Students Clinical Reasoning and Decision-Making Skills.

    PubMed

    Johnsen, Hege Mari; Fossum, Mariann; Vivekananda-Schmidt, Pirashanthie; Fruhling, Ann; Slettebø, Åshild

    2016-01-01

    The aim of this study was to design and pilot-test a serious game for teaching nursing students clinical reasoning and decision-making skills in caring for patients with chronic obstructive pulmonary disease. A video-based serious game prototype was developed. A purposeful sample of six participants tested and evaluated the prototype. Usability issues were identified regarding functionality and user-computer interface. However, overall the serious game was perceived to be useful, usable and likable to use.

  4. Implementing Genomic Clinical Decision Support for Drug‐Based Precision Medicine

    PubMed Central

    Formea, CM; Hoffman, JM; Matey, E; Peterson, JF; Boyce, RD

    2017-01-01

    The explosive growth of patient‐specific genomic information relevant to drug therapy will continue to be a defining characteristic of biomedical research. To implement drug‐based personalized medicine (PM) for patients, clinicians need actionable information incorporated into electronic health records (EHRs). New clinical decision support (CDS) methods and informatics infrastructure are required in order to comprehensively integrate, interpret, deliver, and apply the full range of genomic data for each patient.1 PMID:28109071

  5. Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems.

    PubMed

    Nair, Bala G; Gabel, Eilon; Hofer, Ira; Schwid, Howard A; Cannesson, Maxime

    2017-02-01

    With increasing adoption of anesthesia information management systems (AIMS), there is growing interest in utilizing AIMS data for intraoperative clinical decision support (CDS). CDS for anesthesia has the potential for improving quality of care, patient safety, billing, and compliance. Intraoperative CDS can range from passive and post hoc systems to active real-time systems that can detect ongoing clinical issues and deviations from best practice care. Real-time CDS holds the most promise because real-time alerts and guidance can drive provider behavior toward evidence-based standardized care during the ongoing case. In this review, we describe the different types of intraoperative CDS systems with specific emphasis on real-time systems. The technical considerations in developing and implementing real-time CDS are systematically covered. This includes the functional modules of a CDS system, development and execution of decision rules, and modalities to alert anesthesia providers concerning clinical issues. We also describe the regulatory aspects that affect development, implementation, and use of intraoperative CDS. Methods and measures to assess the effectiveness of intraoperative CDS are discussed. Last, we outline areas of future development of intraoperative CDS, particularly the possibility of providing predictive and prescriptive decision support.

  6. A collaborative teaching strategy for enhancing learning of evidence-based clinical decision-making.

    PubMed

    Scott, P J; Altenburger, P A; Kean, J

    2011-01-01

    The educational literature cites a lack of student motivation to learn how to use research evidence in clinical decision-making because the students do not observe clinicians using evidence. This lack of motivation presents a challenge to educators as they seek to instill the value of evidence-based clinical decision-making (EBCD) in students. One problem is that students in entry-level programs do not have the experience needed to know what to look for, and secondly, clinical decision-making is contextually based in a patient problem. Our approach offers one solution to bridging the gap between classroom teaching and real-world implementation of EBCD through a three-phase collaborative approach. Occupational and physical therapy students are partnered with clinicians to find and appraise evidence to answer the real-world questions posed by these therapists. This paper describes the implementation of the partnership, teaching/learning outcomes, logistics, and implications for clinicians. We found this approach increased student motivation and greatly enhanced the learning experience. Future directions include implementing a framework which allows for the assessment of the strategy on the facility and creates opportunities to integrate the use of EBCD in all aspects of facility practice.

  7. Can a patient smart card improve decision making in a clinical setting?.

    PubMed

    Bérubé, J; Papillon, M J; Lavoie, G; Durant, P; Fortin, J P

    1995-01-01

    In the health field, clinical information is the raw material for the clinician delivering health services. Therefore, the clinical information available to the physician is often incomplete or even non¿existent upon consultation. Furthermore, the reconstruction of the medical history, which is the most important source of data for the clinician to establish a diagnosis and initiate a treatment, suffers from many constraints. The smart card, like the one used in Quebec's project, could ease the physician's decision-making by allowing fast access to accurate and pertinent data. The smart card is a major asset in the present health system.

  8. A programmable rules engine to provide clinical decision support using HTML forms.

    PubMed

    Heusinkveld, J; Geissbuhler, A; Sheshelidze, D; Miller, R

    1999-01-01

    The authors have developed a simple method for specifying rules to be applied to information on HTML forms. This approach allows clinical experts, who lack the programming expertise needed to write CGI scripts, to construct and maintain domain-specific knowledge and ordering capabilities within WizOrder, the order-entry and decision support system used at Vanderbilt Hospital. The clinical knowledge base maintainers use HTML editors to create forms and spreadsheet programs for rule entry. A test environment has been developed which uses Netscape to display forms; the production environment displays forms using an embedded browser.

  9. Governance for clinical decision support: case studies and recommended practices from leading institutions

    PubMed Central

    Sittig, Dean F; Ash, Joan S; Bates, David W; Feblowitz, Joshua; Fraser, Greg; Maviglia, Saverio M; McMullen, Carmit; Nichol, W Paul; Pang, Justine E; Starmer, Jack; Middleton, Blackford

    2011-01-01

    Objective Clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety; however, effective implementation of CDS requires effective clinical and technical governance structures. The authors sought to determine the range and variety of these governance structures and identify a set of recommended practices through observational study. Design Three site visits were conducted at institutions across the USA to learn about CDS capabilities and processes from clinical, technical, and organizational perspectives. Based on the results of these visits, written questionnaires were sent to the three institutions visited and two additional sites. Together, these five organizations encompass a variety of academic and community hospitals as well as small and large ambulatory practices. These organizations use both commercially available and internally developed clinical information systems. Measurements Characteristics of clinical information systems and CDS systems used at each site as well as governance structures and content management approaches were identified through extensive field interviews and follow-up surveys. Results Six recommended practices were identified in the area of governance, and four were identified in the area of content management. Key similarities and differences between the organizations studied were also highlighted. Conclusion Each of the five sites studied contributed to the recommended practices presented in this paper for CDS governance. Since these strategies appear to be useful at a diverse range of institutions, they should be considered by any future implementers of decision support. PMID:21252052

  10. A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders

    PubMed Central

    Ma, Sisi; Galatzer-Levy, Isaac R; Wang, Xuya; Fenyö, David; Shalev, Arieh Y

    2016-01-01

    PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have been identified, but individual level prediction remains elusive. As an effort to bridge the gap between scientific discovery and practical application, we designed and implemented a clinical decision support pipeline to provide clinically relevant recommendation for trauma survivors. To meet the specific challenge of early prediction, this work uses data obtained within ten days of a traumatic event. The pipeline creates personalized predictive model for each individual, and computes quality metrics for each predictive model. Clinical recommendations are made based on both the prediction of the model and its quality, thus avoiding making potentially detrimental recommendations based on insufficient information or suboptimal model. The current pipeline outperforms the acute stress disorder, a commonly used clinical risk factor for PTSD development, both in terms of sensitivity and specificity. PMID:28269880

  11. Engineering of a clinical decision support framework for the point of care use.

    PubMed

    Wilk, Szymon; Michalowski, Wojtek; O'Sullivan, Dympna; Farion, Ken; Matwin, Stan

    2008-11-06

    Computerized decision support for use at the point of care has to be comprehensive. It means that clinical information stored in electronic health records needs to be integrated with various forms of clinical knowledge (elicited from experts, discovered from data or summarized in systematic reviews of clinical trials). In order to provide such comprehensive support we created the MET-A3Support framework for constructing clinical applications aimed at various medical conditions. We employed the multiagent system paradigm and the O-MaSE methodology to define an engineering process involving three main activities: requirements engineering, analysis and design. Then we applied the process to build MET-A3Support. The paper describes the engineering process and its results, including models representing selected elements of our framework.

  12. Physician Attitudes toward Adopting Genome-Guided Prescribing through Clinical Decision Support.

    PubMed

    Overby, Casey Lynnette; Erwin, Angelika Ludtke; Abul-Husn, Noura S; Ellis, Stephen B; Scott, Stuart A; Obeng, Aniwaa Owusu; Kannry, Joseph L; Hripcsak, George; Bottinger, Erwin P; Gottesman, Omri

    2014-02-27

    This study assessed physician attitudes toward adopting genome-guided prescribing through clinical decision support (CDS), prior to enlisting in the Clinical Implementation of Personalized Medicine through Electronic Health Records and Genomics pilot pharmacogenomics project (CLIPMERGE PGx). We developed a survey instrument that includes the Evidence Based Practice Attitude Scale, adapted to measure attitudes toward adopting genome-informed interventions (EBPAS-GII). The survey also includes items to measure physicians' characteristics (awareness, experience, and perceived usefulness), attitudes about personal genome testing (PGT) services, and comfort using technology. We surveyed 101 General Internal Medicine physicians from the Icahn School of Medicine at Mount Sinai (ISMMS). The majority were residency program trainees (~88%). Prior to enlisting into CLIPMERGE PGx, most physicians were aware of and had used decision support aids. Few physicians, however, were aware of and had used genome-guided prescribing. The majority of physicians viewed decision support aids and genotype data as being useful for making prescribing decisions. Most physicians had not heard of, but were willing to use, PGT services and felt comfortable interpreting PGT results. Most physicians were comfortable with technology. Physicians who perceived genotype data to be useful in making prescribing decisions, had more positive attitudes toward adopting genome-guided prescribing through CDS. Our findings suggest that internal medicine physicians have a deficit in their familiarity and comfort interpreting and using genomic information. This has reinforced the importance of gathering feedback and guidance from our enrolled physicians when designing genome-guided CDS and the importance of prioritizing genomic medicine education at our institutions.

  13. Enhancing Nurse and Physician Collaboration in Clinical Decision Making Through High-fidelity Interdisciplinary Simulation Training

    PubMed Central

    Maxson, Pamela M.; Dozois, Eric J.; Holubar, Stefan D.; Wrobleski, Diane M.; Dube, Joyce A. Overman; Klipfel, Janee M.; Arnold, Jacqueline J.

    2011-01-01

    OBJECTIVE: To determine whether interdisciplinary simulation team training can positively affect registered nurse and/or physician perceptions of collaboration in clinical decision making. PARTICIPANTS AND METHODS: Between March 1 and April 21, 2009, a convenience sample of volunteer nurses and physicians was recruited to undergo simulation training consisting of a team response to 3 clinical scenarios. Participants completed the Collaboration and Satisfaction About Care Decisions (CSACD) survey before training and at 2 weeks and 2 months after training. Differences in CSACD summary scores between the time points were assessed with paired t tests. RESULTS: Twenty-eight health care professionals (19 nurses, 9 physicians) underwent simulation training. Nurses were of similar age to physicians (27.3 vs 34.5 years; p=.82), were more likely to be women (95.0% vs 12.5%; p<.001), and were less likely to have undergone prior simulation training (0% vs 37.5%; p=.02). The pretest showed that physicians were more likely to perceive that open communication exists between nurses and physicians (p=.04) and that both medical and nursing concerns influence the decision-making process (p=.02). Pretest CSACD analysis revealed that most participants were dissatisfied with the decision-making process. The CSACD summary score showed significant improvement from baseline to 2 weeks (4.2 to 5.1; p<.002), a trend that persisted at 2 months (p<.002). CONCLUSION: Team training using high-fidelity simulation scenarios promoted collaboration between nurses and physicians and enhanced the patient care decision-making process. PMID:21193653

  14. Use of modified Delphi to plan knowledge translation for decision makers: an application in the field of advanced practice nursing.

    PubMed

    Carter, Nancy; Lavis, John N; MacDonald-Rencz, Sandra

    2014-01-01

    Disseminating research to decision makers is difficult. Interaction between researchers and decision makers can identify key messages and processes for dissemination. To gain agreement on the key findings from a synthesis on the integration of advanced practice nurses, we used a modified Delphi process. Nursing decision makers contributed ideas via e-mail, discussed and clarified ideas face to face, and then prioritized statements. Sixteen (89%) participated and 14 (77%) completed the final phase. Priority key messages were around access to care and outcomes. The majority identified "NPs increase access to care" and "NPs and CNSs improve patient and system outcomes" as priority messaging statements. Participants agreed policy makers and the public were target audiences for messages. Consulting with policy makers provided the necessary context to develop tailored policy messages and is a helpful approach for research dissemination.

  15. Test Review: Advanced Clinical Solutions for WAIS-IV and WMS-IV

    ERIC Educational Resources Information Center

    Chu, Yiting; Lai, Mark H. C.; Xu, Yining; Zhou, Yuanyuan

    2012-01-01

    The authors review the "Advanced Clinical Solutions for WAIS-IV and WMS-IV". The "Advanced Clinical Solutions (ACS) for the Wechsler Adult Intelligence Scale-Fourth Edition" (WAIS-IV; Wechsler, 2008) and the "Wechsler Memory Scale-Fourth Edition" (WMS-IV; Wechsler, 2009) was published by Pearson in 2009. It is a…

  16. Reproductive Ethics in Commercial Surrogacy: Decision-Making in IVF Clinics in New Delhi, India.

    PubMed

    Tanderup, Malene; Reddy, Sunita; Patel, Tulsi; Nielsen, Birgitte Bruun

    2015-09-01

    As a neo-liberal economy, India has become one of the new health tourism destinations, with commercial gestational surrogacy as an expanding market. Yet the Indian Assisted Reproductive Technology (ART) Bill has been pending for five years, and the guidelines issued by the Indian Council of Medical Research are somewhat vague and contradictory, resulting in self-regulated practices of fertility clinics. This paper broadly looks at clinical ethics in reproduction in the practice of surrogacy and decision-making in various procedures. Through empirical research in New Delhi, the capital of India, from December 2011 to November 2012, issues of decision-making on embryo transfer, fetal reduction, and mode of delivery were identified. Interviews were carried out with doctors in eighteen ART clinics, agents from four agencies, and fourteen surrogates. In aiming to fulfil the commissioning parents' demands, doctors were willing to go to the greatest extent possible in their medical practice. Autonomy and decision-making regarding choice of the number of embryos to transfer and the mode of delivery lay neither with commissioning parents nor surrogate mothers but mostly with doctors. In order to ensure higher success rates, surrogates faced the risk of multiple pregnancy and fetal reduction with little information regarding the risks involved. In the globalized market of commercial surrogacy in India, and with clinics compromising on ethics, there is an urgent need for formulation of regulative law for the clinical practice and maintenance of principles of reproductive ethics in order to ensure that the interests of surrogate mothers are safeguarded.

  17. [Visual presentation of psychiatric clinical decision-making by "graphic assessment sheet for diagnoses and treatments"].

    PubMed

    Ota, Toshio; Yoshida, Sumiko; Tsunashima, Sousuke; Totsuka, Takao; Watanabe, Takafumi; Toyoshima, Ryoichi

    2011-01-01

    Psychiatrists often have to treat patients even when the clinical information is insufficient to make a definite diagnosis. This is the case especially when we are treating first-visit outpatients or inpatients who have just been admitted. One of the causes of information insufficiency is a delay in obtaining clinical information on the patient, and another is a lack of characteristic manifestations of the disease because of an immature developmental stage. Even in such situations, however, clinicians have to make reasonable judgements using the information that is available at that time. The framework for making judgements on such occasions, or "the framework of decision-making under imperfect-information conditions", is becoming more and more important in psychiatric clinical practice in Japan for the following reasons. First, team members in charge of a patient became very heterogeneous in terms of their career and motivation after the start of the new post-graduate clinical training system in Japan several years ago, resulting in a higher risk of miscommunication. Secondly, the need for precise explanation to patients and their families has become crucial in recent years as the result of various social changes. Ota T, one of the authors, once put forward the framework of decision-making under imperfect-information conditions on the basis of Bayesian statistics. In the present paper, in consideration of the above background, we devised a sheet for visualizing the above framework so that relevant staff could share the clinical decision-making process. Specifically, we visually arranged on a sheet of paper the components and variables of the framework, so that the staff could communicate with each other explicitly and precisely about the estimated probability of each possible disease, merits and demerits of each treatment option, etc. We employed the sheet on treating patients in our acute psychiatric ward, 2 of whom are presented in the paper. Discussions were

  18. Enabling health care decisionmaking through clinical decision support and knowledge management.

    PubMed Central

    Lobach, David; Sanders, Gillian D; Bright, Tiffani J; Wong, Anthony; Dhurjati, Ravi; Bristow, Erin; Bastian, Lori; Coeytaux, Remy; Samsa, Gregory; Hasselblad, Vic; Williams, John W; Wing, Liz; Musty, Michael; Kendrick, Amy S

    2012-01-01

    OBJECTIVES To catalogue study designs used to assess the clinical effectiveness of CDSSs and KMSs, to identify features that impact the success of CDSSs/KMSs, to document the impact of CDSSs/KMSs on outcomes, and to identify knowledge types that can be integrated into CDSSs/KMSs. DATA SOURCES MEDLINE(®), CINAHL(®), PsycINFO(®), and Web of Science(®). REVIEW METHODS We included studies published in English from January 1976 through December 2010. After screening titles and abstracts, full-text versions of articles were reviewed by two independent reviewers. Included articles were abstracted to evidence tables by two reviewers. Meta-analyses were performed for seven domains in which sufficient studies with common outcomes were included. RESULTS We identified 15,176 articles, from which 323 articles describing 311 unique studies including 160 reports on 148 randomized control trials (RCTs) were selected for inclusion. RCTs comprised 47.5 percent of the comparative studies on CDSSs/KMSs. Both commercially and locally developed CDSSs effectively improved health care process measures related to performing preventive services (n = 25; OR 1.42, 95% confidence interval [CI] 1.27 to 1.58), ordering clinical studies (n = 20; OR 1.72, 95% CI 1.47 to 2.00), and prescribing therapies (n = 46; OR 1.57, 95% CI 1.35 to 1.82). Fourteen CDSS/KMS features were assessed for correlation with success of CDSSs/KMSs across all endpoints. Meta-analyses identified six new success features: Integration with charting or order entry system. Promotion of action rather than inaction. No need for additional clinician data entry. Justification of decision support via research evidence. Local user involvement. Provision of decision support results to patients as well as providers. Three previously identified success features were confirmed: Automatic provision of decision support as part of clinician workflow. Provision of decision support at time and location of decisionmaking. Provision of a

  19. Decision Support Systems for Research and Management in Advanced Life Support

    NASA Technical Reports Server (NTRS)

    Rodriquez, Luis F.

    2004-01-01

    Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendation generators like those on Amazon.com(Registered TradeMark). Such tools are reviewed for developing a similar tool for NASA's ALS Program. DSS are considered concurrently with the development of the OPIS system, a database designed for chronicling of research and development in ALS. By utilizing the OPIS database, it is anticipated that decision support can be provided to increase the quality of decisions by ALS managers and researchers.

  20. Advances in endodontics: Potential applications in clinical practice

    PubMed Central

    Kishen, Anil; Peters, Ove A.; Zehnder, Matthias; Diogenes, Anibal R.; Nair, Madhu K.

    2016-01-01

    Contemporary endodontics has seen an unprecedented advance in technology and materials. This article aimed to review some of the challenges and advances in the following sections: (1) endodontic imaging, (2) root canal preparation, (3) root canal disinfection, (4) root canal filling, and (4) regenerative endodontic procedures (REPs). Jointly, these advances are aimed at improving the state of the art and science of root canal treatment. PMID:27217630

  1. Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to AIG Prognostication in Terminally Ill Patients

    DTIC Science & Technology

    2016-03-01

    1 Award Number: W81-XWH-09-2-0175 TITLE: Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to AIG Prognostication in...From - To) 25Sep2009 - 31Dec2015 4. TITLE AND SUBTITLE Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to AIG Prognostication...health.usf.edu 4 14. ABSTRACT Goal of the project is to develop an Evidence-based Clinical Decision Support (CDSS-EBM) system and make it available at the point

  2. Clinical Decision Velocity is Increased when Meta-search Filters Enhance an Evidence Retrieval System

    PubMed Central

    Coiera, Enrico; Westbrook, Johanna I.; Rogers, Kris

    2008-01-01

    Objective To test whether the use of an evidence retrieval system that uses clinically targeted meta-search filters can enhance the rate at which clinicians make correct decisions, reduce the effort involved in locating evidence, and provide an intuitive match between clinical tasks and search filters. Design A laboratory experiment under controlled conditions asked 75 clinicians to answer eight randomly sequenced clinical questions, using one of two randomly assigned search engines. The first search engine Quick Clinical (QC) was equipped with meta-search filters (the combined use of meta-search and search filters) designed to answer typical clinical questions e.g., treatment, diagnosis, and the second ‘library model’ system (LM) offered free access to an identical evidence set with no filter support. Measurements Changes in clinical decision making were measured by the proportion of correct post-search answers provided to questions, the time taken to answer questions, and the number of searches and links to documents followed in a search session. The intuitive match between meta-search filters and clinical tasks was measured by the proportion and distribution of filters selected for individual clinical questions. Results Clinicians in the two groups performed equally well pre-search. Post search answers improved overall by 21%, with 52.2% of answers correct with QC and 54.7% with LM (χ2 = 0.33, df = 1, p > 0.05). Users of QC obtained a significantly greater percentage of their correct answers within the first two minutes of searching compared to LM users (QC 58.2%; LM 32.9%; χ2 = 19.203, df = 1, p < 0.001). There was a statistical difference for QC and LM survival curves, which plotted overall time to answer questions, irrespective of answer (Wilcoxon, p = 0.019) and for the average time to provide a correct answer (Wilcoxon, p = 0.006). The QC system users conducted significantly fewer searches per scenario (m = 3.0 SD = 1.15 versus m = 5.5 SD1.97, t = 6

  3. Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility.

    PubMed

    Marcos, Mar; Maldonado, Jose A; Martínez-Salvador, Begoña; Boscá, Diego; Robles, Montserrat

    2013-08-01

    Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist clinicians. Irrespective of the kind of decision-support task CDSSs should be smoothly integrated within the clinical information system, interacting with other components, in particular with the electronic health record (EHR). However, despite decades of developments, most CDSSs lack interoperability features. We deal with the interoperability problem of CDSSs and EHRs by exploiting the dual-model methodology. This methodology distinguishes a reference model and archetypes. A reference model is represented by a stable and small object-oriented model that describes the generic properties of health record information. For their part, archetypes are reusable and domain-specific definitions of clinical concepts in the form of structured and constrained combinations of the entities of the reference model. We rely on archetypes to make the CDSS compatible with EHRs from different institutions. Concretely, we use archetypes for modelling the clinical concepts that the CDSS requires, in conjunction with a series of knowledge-intensive mappings relating the archetypes to the data sources (EHR and/or other archetypes) they depend on. We introduce a comprehensive approach, including a set of tools as well as methodological guidelines, to deal with the interoperability of CDSSs and EHRs based on archetypes. Archetypes are used to build a conceptual layer of the kind of a virtual health record (VHR) over the EHR whose contents need to be integrated and used in the CDSS, associating them with structural and terminology-based semantics. Subsequently, the archetypes are mapped to the EHR by means of an expressive mapping language and specific-purpose tools. We also describe a case study where the tools and methodology have been employed in a CDSS to support

  4. A survey of the perceptions and behaviors of chiropractic interns pertaining to evidence-based principles in clinical decision making

    PubMed Central

    Dane, Dawn E.; Dane, Andrew B.; Crowther, Edward R.

    2016-01-01

    Objective: This study explored how chiropractic interns applied evidenced-based concepts, the sources of evidence they used, and how useful they perceived these sources to be in clinical decision making. Methods: A questionnaire containing 13 items in a Likert 5-point scale was administered to 28 chiropractic interns to gather information on the evidence types they commonly accessed and their perceived usefulness of these sources in clinical decision making. The interns were in the 8th semester of the training program. Results: There was a 93% (n = 26) response rate. Clinical guidelines were rated as the most helpful resource in clinical decision making (81%), followed by lecture materials (77%), journals (54%), databases (50%), and textbooks (35%). Students recognized scientific evidence as the most important aspect in clinical decision making. They found their personal experience and the views of their clinician to be equally important and patient preference the least. Conclusion: Interns routinely employed high-quality levels of evidence in clinical decision making. They also considered their early, limited clinical experience as important as that of their clinical supervisor in decision making. This finding should be investigated further. PMID:27389528

  5. Influence of data display formats on physician investigators’ decisions to stop clinical trials: prospective trial with repeated measures

    PubMed Central

    Elting, Linda S; Martin, Charles G; Cantor, Scott B; Rubenstein, Edward B

    1999-01-01

    Objective To examine the effect of the method of data display on physician investigators’ decisions to stop hypothetical clinical trials for an unplanned statistical analysis. Design Prospective, mixed model design with variables between subjects and within subjects (repeated measures). Setting Comprehensive cancer centre. Participants 34 physicians, stratified by academic rank, who were conducting clinical trials. Interventions Participants were shown tables, pie charts, bar graphs, and icon displays containing hypothetical data from a clinical trial and were asked to decide whether to continue the trial or stop for an unplanned statistical analysis. Main outcome measure Percentage of accurate decisions with each type of display. Results Accuracy of decisions was affected by the type of data display and positive or negative framing of the data. More correct decisions were made with icon displays than with tables, pie charts, and bar graphs (82% v 68%, 56%, and 43%, respectively; P=0.03) and when data were negatively framed rather than positively framed in tables (93% v 47%; P=0.004). Conclusions Clinical investigators’ decisions can be affected by factors unrelated to the actual data. In the design of clinical trials information systems, careful consideration should be given to the method by which data are framed and displayed in order to reduce the impact of these extraneous factors. Key messagesIn clinical trials formal interim monitoring points, at which statistical tests are conducted, are designated a priori, but investigators also conduct informal interim monitoring, when statistical tests are not usedThis study investigated the effect of the method of displaying results on clinical investigators’ decisions to conduct unplanned analyses of a hypothetical clinical trialThe method of displaying results significantly influenced the accuracy of decisions, as did the framing of these results (positive or negative)The display formats preferred by the

  6. Is there a "magic" hemoglobin number? Clinical decision support promoting restrictive blood transfusion practices.

    PubMed

    Goodnough, Lawrence Tim; Shah, Neil

    2015-10-01

    Blood transfusion has been identified as one of the most frequently performed therapeutic procedures, with a significant percentage of transfusions identified to be inappropriate. Recent key clinical trials in adults have provided Level 1 evidence to support restrictive red blood cell (RBC) transfusion practices. However, some advocates have attempted to identify a "correct" Hb threshold for RBC transfusion; whereas others assert that management of anemia, including transfusion decisions, must take into account clinical patient variables, rather than simply one diagnostic laboratory test. The heterogeneity of guidelines for blood transfusion by a number of medical societies reflects this controversy. Clinical decision support (CDS) uses a Hb threshold number in a smart Best Practices Alert (BPA) upon physician order, to trigger a concurrent utilization self-review for whether blood transfusion therapy is appropriate. This review summarizes Level 1 evidence in seven key clinical trials in adults that support restrictive transfusion practices, along strategies made possible by CDS that have demonstrated value in improving blood utilization by promoting restrictive transfusion practices.

  7. Trail Blazing or Jam Session? Towards a New Concept of Clinical Decision-making.

    PubMed

    Risør, Torsten

    2016-11-17

    Clinical decision-making (CDM) is key in learning to be a doctor as the defining activity in their clinical work. CDM is often portrayed in the literature as similar to 'trail blazing'; the doctor as the core agent, clearing away obstacles on the path towards diagnosis and treatment. However, in a fieldwork of young doctors in Denmark, it was difficult connect their practice to this image. This paper presents the exploration of this discrepancy in the heart of medical practice and how an alternative image emerged; that of a 'jam session'. The exploration is represented as a case-based hypothesis-testing: first, a theoretically and empirically informed hypothesis (H0) of how doctors perform CDM is developed. In H0, CDM is a stepwise process of reasoning about clinical data, often influenced by outside contextual factors. Then, H0 is tested against a case from ethnographic fieldwork with doctors going through internship. Although the case is chosen for characteristics that make it 'most likely' to verify the hypothesis, verification proves difficult. The case challenges preconceptions in CDM literature about chronology, context, objectivity, cognition, agency, and practice. The young doctor is found not to make decisions, but rather to participate in CDM; an activity akin to the dynamics found in a jam session. Their participation circles in and through four concurrent interrelated constructions that suggest a new conceptualization of CDM; a starting point for a deeper understanding of actual practice in a changing clinical environment.

  8. The integration of surface electromyography in the clinical decision making process: a case report

    PubMed Central

    Nicholson, W Reg

    1998-01-01

    Objective: To demonstrate how the findings of surface electromyography (S.E.M.G.) were integrated into the clinical decision-making process. Clinical Features: This is a retrospective review of the file of a 27-year-old male suffering from mechanical low back pain. He was evaluated on 3 separate occasions over a 3 year period. History, radiography, functional outcome studies, visual-numerical pain score, pain drawing, physical examination and surface electromyography were utilized in evaluating this patient. Intervention and Outcome: The two clinical interventions of spinal manipulative therapy (S.M.T.) had positive results in that the patient achieved an asymptomatic state and returned to his position of employment. The S.E.M.G. data collected during the industrial assessment, did not provide the outcome that the patient had anticipated. Conclusion: Surface electromyography is a useful clinical tool in the author’s decision-making process for the treatment of mechanical lower back pain. Therapeutic intervention by S.M.T., therapeutic exercises and rating risk factors were influenced by the S.E.M.G. findings.

  9. The role of analogy-guided learning experiences in enhancing students' clinical decision-making skills.

    PubMed

    Edelen, Bonnie Gilbert; Bell, Alexandra Alice

    2011-08-01

    The purpose of this study was to address the need for effective educational interventions to promote students' clinical decision making (CDM) within clinical practice environments. Researchers used a quasi-experimental, non-equivalent groups, posttest-only design to assess differences in CDM ability between intervention group students who participated in analogy-guided learning activities and control group students who participated in traditional activities. For the intervention, analogy-guided learning activities were incorporated into weekly group discussions, reflective journal writing, and questioning with clinical faculty. The researcher-designed Assessment of Clinical Decision Making Rubric was used to assess indicators of CDM ability in all students' reflective journal entries. Results indicated that the intervention group demonstrated significantly higher levels of CDM ability in their journals compared with the control group (ES(sm) = 0.52). Recommendations provide nurse educators with strategies to maximize students' development of CDM ability, better preparing students for the demands they face when they enter the profession.

  10. Clinical assessment of decision-making capacity in acquired brain injury with personality change

    PubMed Central

    Owen, Gareth S.; Freyenhagen, Fabian; Martin, Wayne; David, Anthony S.

    2017-01-01

    Assessment of decision-making capacity (DMC) can be difficult in acquired brain injury (ABI) particularly with the syndrome of organic personality disorder (OPD) (the “frontal lobe syndrome”). Clinical neuroscience may help but there are challenges translating its constructs to the decision-making abilities considered relevant by law and ethics. An in-depth interview study of DMC in OPD was undertaken. Six patients were purposefully sampled and rich interview data were acquired for scrutiny using interpretative phenomenological analysis. Interview data revealed that awareness of deficit and thinking about psychological states can be present. However, the awareness of deficit may not be “online” and effectively integrated into decision-making. Without this online awareness of deficit the ability to appreciate or use and weigh information in the process of deciding some matters appeared absent. We argue that the decision-making abilities discussed are: (1) necessary for DMC, (2) threatened by ABI , and (3) assessable at interview. Some advice for practically incorporating these abilities within assessments of DMC in patients with OPD is outlined. PMID:26088818

  11. [Human body meridian spatial decision support system for clinical treatment and teaching of acupuncture and moxibustion].

    PubMed

    Wu, Dehua

    2016-01-01

    The spatial position and distribution of human body meridian are expressed limitedly in the decision support system (DSS) of acupuncture and moxibustion at present, which leads to the failure to give the effective quantitative analysis on the spatial range and the difficulty for the decision-maker to provide a realistic spatial decision environment. Focusing on the limit spatial expression in DSS of acupuncture and moxibustion, it was proposed that on the basis of the geographic information system, in association of DSS technology, the design idea was developed on the human body meridian spatial DSS. With the 4-layer service-oriented architecture adopted, the data center integrated development platform was taken as the system development environment. The hierarchical organization was done for the spatial data of human body meridian via the directory tree. The structured query language (SQL) server was used to achieve the unified management of spatial data and attribute data. The technologies of architecture, configuration and plug-in development model were integrated to achieve the data inquiry, buffer analysis and program evaluation of the human body meridian spatial DSS. The research results show that the human body meridian spatial DSS could reflect realistically the spatial characteristics of the spatial position and distribution of human body meridian and met the constantly changeable demand of users. It has the powerful spatial analysis function and assists with the scientific decision in clinical treatment and teaching of acupuncture and moxibustion. It is the new attempt to the informatization research of human body meridian.

  12. The effects of specific educational preparation on emergency nurses' clinical decisions regarding supplemental oxygen administration.

    PubMed

    Considine, Julie; Botti, Mari; Thomas, Shane

    2006-06-01

    The use of supplemental oxygen by emergency nurses has important implications for patient outcomes, yet there is significant variability in oxygen administration practises. Specific education related to oxygen administration increases factual knowledge in this domain; however, the impact of knowledge acquisition on nurses' clinical decisions is poorly understood. This study aimed to examine the effect of educational preparation on 20 emergency nurses' decisions regarding the assessment of oxygenation and the use of supplemental oxygen. A pre-test/post-test, quasi-experimental design was used. The intervention was a written, self-directed learning package. The major effects of the completion of the learning package included no change in the number or types of parameters used by nurses to assess oxygenation, a significant decrease in the selection of simple masks, a significant increase in the selection of air entrainment masks, fewer hypothetical outcomes of unresolved respiratory distress and more hypothetical outcomes of decreased respiratory distress. As many nursing education programs are aimed at increasing factual knowledge, while experience remains relatively constant, a greater understanding of the relationship between factual knowledge and clinical decisions is needed if educational interventions are to improve patient outcomes.

  13. Implementation of a clinical decision support system using a service model: results of a feasibility study.

    PubMed

    Borbolla, Damian; Otero, Carlos; Lobach, David F; Kawamoto, Kensaku; Gomez Saldaño, Ana M; Staccia, Gustavo; Lopez, Gastón; Figar, Silvana; Luna, Daniel; Bernaldo de Quiros, Fernan Gonzalez

    2010-01-01

    Numerous studies have shown that the quality of health care is inadequate, and healthcare organizations are increasingly turning to clinical decision support systems (CDSS) to address this problem. In implementing CDSS, a highly promising architectural approach is the use of decision support services. However, there are few reported examples of successful implementations of operational CDSS using this approach. Here, we describe how Hospital Italiano de Buenos Aires evaluated the feasibility of using the SEBASTIAN clinical decision support Web service to implement a CDSS integrated with its electronic medical record system. The feasibility study consisted of three stages: first, end-user acceptability testing of the proposed CDSS through focus groups; second, the design and implementation of the system through integration of SEBASTIAN and the authoring of new rules; and finally, validation of system performance and accuracy. Through this study, we found that it is feasible to implement CDSS using a service-based approach. The CDSS is now under evaluation in a randomized controlled trial. The processes and lessons learned from this initiative are discussed.

  14. Evaluation and revision of a clinical advancement program.

    PubMed

    Goodrich, Cynthia A; Ward, Cynthia W

    2004-12-01

    Career advancement programs have been used for decades to provide promotion opportunities for bedside nurses. Few of the programs have been evaluated to determine their efficacy and the overall satisfaction to registered nurses. An evaluation of a career advancement system in a community hospital setting was conducted to identify the perceived lack of interest in pursuing promotion with the current process.

  15. Advance Directive in End of Life Decision-Making among the Yoruba of South-Western Nigeria

    PubMed Central

    Jegede, Ayodele Samuel; Adegoke, Olufunke Olufunsho

    2017-01-01

    End-of-life decision making is value-laden within the context of culture and bioethics. Also, ethics committee role is difficult to understand on this, thus need for ethnomethodological perspective in an expanding bioethical age. Anthropological approach was utilized to document Yoruba definition and perspective of death, cultural beliefs about end-of-life decision making, factors influencing it and ethics committee role. Interviews were conducted among selected Yoruba resident in Akinyele LGA, Oyo State, Nigeria. Content analytical approach was used for data analysis. Yoruba culture, death is socially constructed having spiritual, physical and social significance. Relationship between the dying and significant others influences decision making. Hierarchy of authority informs implementing traditional advance directive. Socialization, gender, patriarchy, religious belief and tradition are major considerations in end-of-life decision making. Awareness, resource allocation and advocacy are important ethics committees’ roles. Further research into cultural diversity of end-of-life decision making will strengthen ethical practice in health care delivery. PMID:28344984

  16. The Utilization of a Clinical Decision Support System to Manage Adult Type 2 Diabetes: A Correlational Study

    ERIC Educational Resources Information Center

    Faught, I. Charie

    2012-01-01

    While the Institute of Medicine (2001) has promoted health information technology to improve the process of care such as compliance with clinical practice guidelines and quicker access to clinical information, diagnostic tests, and treatment results, very little was known about how a clinical decision support system can contribute to diabetes…

  17. Stroke navigator--a clinical decision support system for acute stroke.

    PubMed

    van Zon, Kees; Lord, William P; Lagor, Charles; Theiss, Stephan; Brosig, Torge; Siebler, Mario

    2008-11-06

    The Stroke Navigator is a clinical decision support system aimed at improving the diagnosis and treatment of acute stroke. It combines an audit trail, a differential diagnosis window, an interactive stroke protocol map, and a list of recommendations for hospital staff. It provides a patient-specific overview of the workflow status and of the available clinical findings, with the goal of improving the continuity of care. For this purpose, it uses a workflow engine that was specifically designed to meet the demands of clinical practice. The Stroke Navigator furthermore calculates and displays the probabilities of various stroke differential diagnoses. The demonstration will introduce these and other features by means of a hypothetical patient case. It will also summarize the status of alpha-testing the first prototype.

  18. A Bridging Opportunities Work-frame to develop mobile applications for clinical decision making

    PubMed Central

    van Rooij, Tibor; Rix, Serena; Moore, James B; Marsh, Sharon

    2015-01-01

    Background: Mobile applications (apps) providing clinical decision support (CDS) may show the greatest promise when created by and for frontline clinicians. Our aim was to create a generic model enabling healthcare providers to direct the development of CDS apps. Methods: We combined Change Management with a three-tier information technology architecture to stimulate CDS app development. Results: A Bridging Opportunities Work-frame model was developed. A test case was used to successfully develop an app. Conclusion: Healthcare providers can re-use this globally applicable model to actively create and manage regional decision support applications to translate evidence-based medicine in the use of emerging medication or novel treatment regimens. PMID:28031883

  19. Test Case Selection in Pre-Deployment Testing of Complex Clinical Decision Support Systems

    PubMed Central

    Tso, Geoffrey J.; Yuen, Kaeli; Martins, Susana; Tu, Samson W.; Ashcraft, Michael; Heidenreich, Paul; Hoffman, Brian B.; Goldstein, Mary K.

    2016-01-01

    Clinical decision support (CDS) systems with complex logic are being developed. Ensuring the quality of CDS is imperative, but there is no consensus on testing standards. We tested ATHENA-HTN CDS after encoding updated hypertension guidelines into the system. A logic flow and a complexity analysis of the encoding were performed to guide testing. 100 test cases were selected to test the major pathways in the CDS logic flow, and the effectiveness of the testing was analyzed. The encoding contained 26 decision points and 3120 possible output combinations. The 100 cases selected tested all of the major pathways in the logic, but only 1% of the possible output combinations. Test case selection is one of the most challenging aspects in CDS testing and has a major impact on testing coverage. A test selection strategy should take into account the complexity of the system, identification of major logic pathways, and available resources. PMID:27570678

  20. Design of a nursing clinical decision support system applying nursing diagnosis and nursing evaluation model based data mining.

    PubMed

    Kim, Hyungyung; Kim, Insook; Chae, Yougmoon

    2006-01-01

    This study a methodological study; to acquire knowledge on the nursing process by steps of knowledge definition, collection, and representation; then, to design a data warehouse and nursing process clinical decision support system.

  1. Advances in Quantitative UV-Visible Spectroscopy for Clinical and Pre-clinical Application in Cancer

    PubMed Central

    Brown, J. Quincy; Vishwanath, Karthik; Palmer, Gregory M.; Ramanujam, Nirmala

    2009-01-01

    Summary Methods of optical spectroscopy which provide quantitative, physically or physiologically meaningful measures of tissue properties are an attractive tool for the study, diagnosis, prognosis, and treatment of various cancers. Recent development of methodologies to convert measured reflectance and fluorescence spectra from tissue to cancer-relevant parameters such as vascular volume, oxygenation, extracellular matrix extent, metabolic redox states, and cellular proliferation have significantly advanced the field of tissue optical spectroscopy. The number of publications reporting quantitative tissue spectroscopy results in the UV-visible wavelength range has increased sharply in the last 3 years, and includes new and emerging studies which correlate optically-measured parameters with independent measures such as immunohistochemistry, which should aid in increased clinical acceptance of these technologies. PMID:19268567

  2. Development and impact of computerised decision support systems for clinical management of depression: A systematic review.

    PubMed

    Triñanes, Yolanda; Atienza, Gerardo; Louro-González, Arturo; de-las-Heras-Liñero, Elena; Alvarez-Ariza, María; Palao, Diego J

    2015-01-01

    One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice.

  3. A study of diverse clinical decision support rule authoring environments and requirements for integration

    PubMed Central

    2012-01-01

    Background Efficient rule authoring tools are critical to allow clinical Knowledge Engineers (KEs), Software Engineers (SEs), and Subject Matter Experts (SMEs) to convert medical knowledge into machine executable clinical decision support rules. The goal of this analysis was to identify the critical success factors and challenges of a fully functioning Rule Authoring Environment (RAE) in order to define requirements for a scalable, comprehensive tool to manage enterprise level rules. Methods The authors evaluated RAEs in active use across Partners Healthcare, including enterprise wide, ambulatory only, and system specific tools, with a focus on rule editors for reminder and medication rules. We conducted meetings with users of these RAEs to discuss their general experience and perceived advantages and limitations of these tools. Results While the overall rule authoring process is similar across the 10 separate RAEs, the system capabilities and architecture vary widely. Most current RAEs limit the ability of the clinical decision support (CDS) interventions to be standardized, sharable, interoperable, and extensible. No existing system meets all requirements defined by knowledge management users. Conclusions A successful, scalable, integrated rule authoring environment will need to support a number of key requirements and functions in the areas of knowledge representation, metadata, terminology, authoring collaboration, user interface, integration with electronic health record (EHR) systems, testing, and reporting. PMID:23145874

  4. Teaching clinical decision-making to pediatric residents in an era of managed care.

    PubMed

    Chessare, J B

    1998-04-01

    The growth of managed care has brought a new focus on physician competency in the appropriate use of resources to help patients. The community of pediatric educators must improve residency curricula and teaching methodologies to ensure that graduates of their programs can effectively and efficiently meet the needs of children and their families. The educational approach in many pediatric residency programs is an implicit apprenticeship model, with which the residents follow the actions of attending physicians with little attention to scrutiny of the clinical evidence for and against diagnostic and treatment strategies. Evidence-based medicine stresses to the trainee the importance of the evaluation of evidence from clinical research and cautions against the use of intuition, unsystematic clinical experience, and untested pathophysiologic reasoning as sufficient for medical decision-making. Managed care also has helped to create a heightened awareness of the need to educate residents to incorporate the preferences of patients and families into diagnostic and treatment decisions. Trainees must know how to balance their duty to maximize the health of populations at the lowest resource use with their duty to each individual patient and family. Changes in the residency curriculum will bring change in educational settings and the structure of rotations. Potential barriers to implementation will include the need for faculty development and financial resources for information technology.

  5. Prioritization of engineering support requests and advanced technology projects using decision support and industrial engineering models

    NASA Technical Reports Server (NTRS)

    Tavana, Madjid

    1995-01-01

    The evaluation and prioritization of Engineering Support Requests (ESR's) is a particularly difficult task at the Kennedy Space Center (KSC) -- Shuttle Project Engineering Office. This difficulty is due to the complexities inherent in the evaluation process and the lack of structured information. The evaluation process must consider a multitude of relevant pieces of information concerning Safety, Supportability, O&M Cost Savings, Process Enhancement, Reliability, and Implementation. Various analytical and normative models developed over the past have helped decision makers at KSC utilize large volumes of information in the evaluation of ESR's. The purpose of this project is to build on the existing methodologies and develop a multiple criteria decision support system that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. The model utilizes the Analytic Hierarchy Process (AHP), subjective probabilities, the entropy concept, and Maximize Agreement Heuristic (MAH) to enhance the decision maker's intuition in evaluating a set of ESR's.

  6. A Study of the Patients Admitted to the Clinical Decision Unit over One Year.

    PubMed

    O'Shea, E; Cusack, S; O'Sullivan, I

    2016-06-10

    Clinical decision units (CDUs) are areas within an emergency department (ED) providing care for the patient who may benefit from an extended observation period, usually for a maximum of twenty-four hours. A retrospective patient record audit was performed to determine the characteristics of patients admitted to the Cork University Hospital (CUH) CDU over 12 months. The average length of stay of a patient in the CDU was 29 hours. The most common diagnoses admitted to the CDU were chest pain (9.5%) and headache (7.2%). The research implies that the CDU provided a means for CUH to save approximately €2 million annually.

  7. Laboratory Medicine in the Clinical Decision Support for Treatment of Hypercholesterolemia: Pharmacogenetics of Statins.

    PubMed

    Ruaño, Gualberto; Seip, Richard; Windemuth, Andreas; Wu, Alan H B; Thompson, Paul D

    2016-09-01

    Statin responsiveness is an area of great research interest given the success of the drug class in the treatment of hypercholesterolemia and in primary and secondary prevention of cardiovascular disease. Interrogation of the patient's genome for gene variants will eventually guide anti-hyperlipidemic intervention. In this review, we discuss methodological approaches to discover genetic markers predictive of class-wide and drug-specific statin efficacy and safety. Notable pharmacogenetic findings are summarized from hypothesis-free genome wide and hypothesis-led candidate gene association studies. Physiogenomic models and clinical decision support systems will be required for DNA-guided statin therapy to reach practical use in medicine.

  8. Integrating complex business processes for knowledge-driven clinical decision support systems.

    PubMed

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS.

  9. Magnetic resonance imaging of the vagina: an overview for radiologists with emphasis on clinical decision making*

    PubMed Central

    Ferreira, Daian Miranda; Bezerra, Régis Otaviano França; Ortega, Cinthia Denise; Blasbalg, Roberto; Viana, Públio César Cavalcante; de Menezes, Marcos Roberto; Rocha, Manoel de Souza

    2015-01-01

    Magnetic resonance imaging is a method with high contrast resolution widely used in the assessment of pelvic gynecological diseases. However, the potential of such method to diagnose vaginal lesions is still underestimated, probably due to the scarce literature approaching the theme, the poor familiarity of radiologists with vaginal diseases, some of them relatively rare, and to the many peculiarities involved in the assessment of the vagina. Thus, the authors illustrate the role of magnetic resonance imaging in the evaluation of vaginal diseases and the main relevant findings to be considered in the clinical decision making process. PMID:26379324

  10. Performance of online drug information databases as clinical decision support tools in infectious disease medication management.

    PubMed

    Polen, Hyla H; Zapantis, Antonia; Clauson, Kevin A; Clauson, Kevin Alan; Jebrock, Jennifer; Paris, Mark

    2008-11-06

    Infectious disease (ID) medication management is complex and clinical decision support tools (CDSTs) can provide valuable assistance. This study evaluated scope and completeness of ID drug information found in online databases by evaluating their ability to answer 147 question/answer pairs. Scope scores produced highest rankings (%) for: Micromedex (82.3), Lexi-Comp/American Hospital Formulary Service (81.0), and Medscape Drug Reference (81.0); lowest includes: Epocrates Online Premium (47.0), Johns Hopkins ABX Guide (45.6), and PEPID PDC (40.8).

  11. Clinical Decision-Making in the Treatment of Schizophrenia: Focus on Long-Acting Injectable Antipsychotics

    PubMed Central

    Samalin, Ludovic; Garnier, Marion; Auclair, Candy; Llorca, Pierre-Michel

    2016-01-01

    The purpose of this study was to identify clinician characteristics associated with higher prescription rates of long-acting injectable (LAI) antipsychotics, as well as the sources that influence medical decision-making regarding the treatment of schizophrenia. We surveyed 202 psychiatrists during six regional French conferences (Bordeaux, Lyon, Marseille, Nice, Paris, and Strasbourg). Data on the characteristics of practice, prescription rates of antipsychotic, and information sources about their clinical decisions were collected. Most psychiatrists used second-generation antipsychotics (SGAs), and preferentially an oral formulation, in the treatment of schizophrenia. LAI SGAs were prescribed to 30.4% of schizophrenic patients. The duration and type of practice did not influence the class or formulation of antipsychotics used. The clinicians following the higher percentage of schizophrenic patients were associated with a higher use of LAI antipsychotics and a lower use of oral SGAs. Personal experience, government regulatory approval, and guidelines for the treatment of schizophrenia were the three main contributing factors guiding clinicians’ decision-making regarding the treatment of schizophrenia. The more clinicians follow schizophrenic patients, the more they use LAI antipsychotics. The development of specialized programs with top specialists should lead to better use of LAI antipsychotics in the treatment of schizophrenia. PMID:27869767

  12. Clinical Decision-Making in the Treatment of Schizophrenia: Focus on Long-Acting Injectable Antipsychotics.

    PubMed

    Samalin, Ludovic; Garnier, Marion; Auclair, Candy; Llorca, Pierre-Michel

    2016-11-19

    The purpose of this study was to identify clinician characteristics associated with higher prescription rates of long-acting injectable (LAI) antipsychotics, as well as the sources that influence medical decision-making regarding the treatment of schizophrenia. We surveyed 202 psychiatrists during six regional French conferences (Bordeaux, Lyon, Marseille, Nice, Paris, and Strasbourg). Data on the characteristics of practice, prescription rates of antipsychotic, and information sources about their clinical decisions were collected. Most psychiatrists used second-generation antipsychotics (SGAs), and preferentially an oral formulation, in the treatment of schizophrenia. LAI SGAs were prescribed to 30.4% of schizophrenic patients. The duration and type of practice did not influence the class or formulation of antipsychotics used. The clinicians following the higher percentage of schizophrenic patients were associated with a higher use of LAI antipsychotics and a lower use of oral SGAs. Personal experience, government regulatory approval, and guidelines for the treatment of schizophrenia were the three main contributing factors guiding clinicians' decision-making regarding the treatment of schizophrenia. The more clinicians follow schizophrenic patients, the more they use LAI antipsychotics. The development of specialized programs with top specialists should lead to better use of LAI antipsychotics in the treatment of schizophrenia.

  13. To certify or not to certify: clinical social work decisions and involuntary hospitalization.

    PubMed

    Dworkin, J

    1988-01-01

    This research compares, on a variety of clinical and contextual factors, case episodes in which Clinical Social Workers decided to certify patients for involuntary hospitalization with those episodes where they decided not to certify them. A cross-sectional exploratory design was developed, and descriptive data was collected using a modified critical incident technique and a structured interview schedule. Among certified cases, the dangerousness of the patient was the major reason for certification, especially dangerousness to others. Lack of dangerousness to others and use of alternatives to involuntary hospitalization were major factors in the decision not to certify. Schizophrenic disorders were most frequently identified in certified patients; depressive and neurotic conditions in non-certified cases.

  14. Development of a decision support model for scheduling clinical studies and assigning medical personnel.

    PubMed

    Grunow, Martin; Günther, Hans-Otto; Yang, Gang

    2004-11-01

    Clinical studies for the development of new drugs in the pharmaceutical industry consist of a number of individual tasks which have to be carried out in a pre-defined chronological order. Each task requires certain types of medical personnel. This paper investigates the scheduling of clinical studies to be performed during a short-term planning horizon, the allocation of workforce between the studies, and the assignment of individual employees to tasks. Instead of developing a complex monolithic decision model, a hierarchical modelling approach is suggested. In the first stage, a compact integer optimization model is solved in order to determine the start-off times of the studies and the required staffing while taking the limited availability of personnel into account. The objective is to minimize total staffing costs. The assignment of individual employees to tasks is then made in the second stage of the procedure using a binary optimization model.

  15. Multidisciplinary Modelling of Symptoms and Signs with Archetypes and SNOMED-CT for Clinical Decision Support.

    PubMed

    Marco-Ruiz, Luis; Maldonado, J Alberto; Karlsen, Randi; Bellika, Johan G

    2015-01-01

    Clinical Decision Support Systems (CDSS) help to improve health care and reduce costs. However, the lack of knowledge management and modelling hampers their maintenance and reuse. Current EHR standards and terminologies can allow the semantic representation of the data and knowledge of CDSS systems boosting their interoperability, reuse and maintenance. This paper presents the modelling process of respiratory conditions' symptoms and signs by a multidisciplinary team of clinicians and information architects with the help of openEHR, SNOMED and clinical information modelling tools for a CDSS. The information model of the CDSS was defined by means of an archetype and the knowledge model was implemented by means of an SNOMED-CT based ontology.

  16. Modeling the costs of clinical decision support for genomic precision medicine

    PubMed Central

    Mathias, Patrick C.; Tarczy-Hornoch, Peter; Shirts, Brian H.

    2016-01-01

    Clinical decision support (CDS) within the electronic health record represents a promising mechanism to provide important genomic findings within clinical workflows. To better understand the current and possible future costs of genomic CDS, we leveraged our local CDS experience to assemble a simple model with inputs such as initial cost and numbers of patients, rules, and institutions. Our model assumed efficiencies of scale and allowed us to perform a one-way sensitivity analysis of the impact of each model input. The number of patients with genomic results per institution was the only single variable that could decrease the cost of CDS per useful alert below projected genomic sequencing costs. Because of the prohibitive upfront cost of sequencing large numbers of individuals, increasing the number of institutions using genomic CDS and improving the efficiency of sharing CDS infrastructure represent the most promising paths to making genomic CDS cost-effective. PMID:27570652

  17. Modeling access, cost, and perceived quality: computer simulation benefits orthodontic clinic staffing decisions.

    PubMed

    Montgomery, J B; LaFrancois, G G; Perry, M J

    2000-02-01

    Given limited financial resources, simulation permits a financial analysis of the optimum staffing levels for orthodontists and dental assistants in an orthodontic clinic. A computer simulation provides the information for managerial review. This study, by building a computer simulation of an orthodontic service, set out to determine the most efficient mix between providers and support staff to maximize access, maximize perceived quality, and minimize expenditures. Six combinations of providers and support staff were compared during an animated, computer-generated what-if analysis. Based on the clinic workload and size, on the cost per patient, and on the cost per quality point, the research team recommended a staffing mix of one orthodontist and three assistants. This study shows that computer simulation is an enormous asset as a decision support tool for management.

  18. Involvement in shared decision-making for patients in public specialist outpatient clinics in Hong Kong

    PubMed Central

    Xu, Richard H; Wong, Eliza LY

    2017-01-01

    Objective This study is a preliminary exploration of the association between patient involvement in decision-making and patient socioeconomic characteristics and experience in specialist outpatient clinics (SOPCs) in Hong Kong. Methods Cross-sectional telephone interviews were conducted using the Specialist Outpatient Experience Questionnaire (SOPEQ) in 26 Hospital Authority public SOPCs in Hong Kong. The SOPEQ was designed by The School of Public Health and Primary Care at The Chinese University of Hong Kong, fully taking into account both literature review and the local context of the public specialist outpatient system in Hong Kong. A total of 22,525 eligible participants were recruited for the study. Results There were 13,966 valid responses. The results indicated that the patients who had more involvement in decision-making were younger (odds ratio [OR] =2.10; 95% CI 1.75, 2.53), more highly educated (OR =1.67; 95% CI 1.45, 1.93), less likely to be receiving a government allowance (OR =0.61; 95% CI 0.57, 0.65), and less likely to be in the new case group (OR =0.84; 95% CI 0.78, 0.92). Participants living with their families (OR =3.38; 95% CI 2.03, 5.63) or who were unemployed (OR =1.10; 95% CI 1.01, 1.21) had a more decisive role in the decision- making process. Those participants who had been more involved in decision-making and wanted to continue being more involved had greater levels of satisfaction (mean =7.94; P<0.001) and a better health status (OR =0.49; 95% CI 0.41, 0.58). Conclusion Engaging patients in their health care management remains a challenge in improving patient-centered care. Our results suggest that patient engagement is associated with perceived health status and the experience of using a health service. Understanding patients’ characteristics and roles facilitates the development of preferred styles in the decision-making model. PMID:28331297

  19. Patient factors that influence clinicians’ decision making in self-management support: A clinical vignette study

    PubMed Central

    Bos-Touwen, Irene D.; Trappenburg, Jaap C. A.; van der Wulp, Ineke; Schuurmans, Marieke J.; de Wit, Niek J.

    2017-01-01

    Background and aim Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals’ decision making regarding self-management support. Method A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. Results The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. Conclusion This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient’s motivation; unmotivated patients

  20. Caring for older cancer patients: practical decision-making guidelines with a focus on advance directives.

    PubMed

    Sachs, G A

    1992-02-01

    There are no simple solutions to difficult ethical problems. Advance directives, however, offer a way to help prevent ethical dilemmas from occurring in the care of older cancer patients. Studies show that there is overwhelming support from both older patients and physicians for advance treatment planning through the use of living wills, durable powers of attorney for health care, and less formal means. Despite this support, few physicians and patients discuss advance directives. This paper discusses potential barriers to this dialogue and suggests specific ways to incorporate advance directive into routine cancer care of older patients. The Patient Self-Determination Act of 1990 represents additional pressure from society on the medical profession to carry out advance directive discussions.

  1. The Experience of Older People in the Shared Decision-Making Process in Advanced Kidney Care

    PubMed Central

    Jenkins, Karen; McManus, Breeda; Gracey, Brian

    2016-01-01

    Introduction. This qualitative descriptive study was designed to understand the experiences of older people (>70 years) when making a decision about renal replacement therapy. This was a coproduced study, whereby patients and carers were involved in all aspects of the research process. Methods. A Patient and Carer Group undertook volunteer and research training. The group developed the interview questions and interviewed 29 people who had commenced dialysis or made a decision not to have dialysis. Interview data were transcribed and analysed, and common themes were identified. Results. 22 men and 7 women (mean age 77.4 yrs) from two hospitals were interviewed. 18 had chosen haemodialysis, 6 peritoneal dialysis, and 5 supportive care. The majority of patients were involved in the dialysis decision. Most were satisfied with the amount of information that they received, although some identified that the quality of the information could be improved, especially how daily living can be affected by dialysis. Conclusion. Our findings show that overall older patients were involved in the dialysis decision along with their families. Our approach is innovative because it is the first time that patients and carers have been involved in a coproduced study about shared decision-making. PMID:27990438

  2. A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology

    PubMed Central

    Van Belle, Vanya M. C. A.; Van Calster, Ben; Timmerman, Dirk; Bourne, Tom; Bottomley, Cecilia; Valentin, Lil; Neven, Patrick; Van Huffel, Sabine; Suykens, Johan A. K.; Boyd, Stephen

    2012-01-01

    Background Over time, methods for the development of clinical decision support (CDS) systems have evolved from interpretable and easy-to-use scoring systems to very complex and non-interpretable mathematical models. In order to accomplish effective decision support, CDS systems should provide information on how the model arrives at a certain decision. To address the issue of incompatibility between performance, interpretability and applicability of CDS systems, this paper proposes an innovative model structure, automatically leading to interpretable and easily applicable models. The resulting models can be used to guide clinicians when deciding upon the appropriate treatment, estimating patient-specific risks and to improve communication with patients. Methods and Findings We propose the interval coded scoring (ICS) system, which imposes that the effect of each variable on the estimated risk is constant within consecutive intervals. The number and position of the intervals are automatically obtained by solving an optimization problem, which additionally performs variable selection. The resulting model can be visualised by means of appealing scoring tables and color bars. ICS models can be used within software packages, in smartphone applications, or on paper, which is particularly useful for bedside medicine and home-monitoring. The ICS approach is illustrated on two gynecological problems: diagnosis of malignancy of ovarian tumors using a dataset containing 3,511 patients, and prediction of first trimester viability of pregnancies using a dataset of 1,435 women. Comparison of the performance of the ICS approach with a range of prediction models proposed in the literature illustrates the ability of ICS to combine optimal performance with the interpretability of simple scoring systems. Conclusions The ICS approach can improve patient-clinician communication and will provide additional insights in the importance and influence of available variables. Future challenges

  3. Paying for treatments? Influences on negotiating clinical need and decision-making for dental implant treatment

    PubMed Central

    Exley, Catherine E; Rousseau, Nikki S; Steele, Jimmy; Finch, Tracy; Field, James; Donaldson, Cam; Thomason, J Mark; May, Carl R; Ellis, Janice S

    2009-01-01

    Background The aim of this study is to examine how clinicians and patients negotiate clinical need and treatment decisions within a context of finite resources. Dental implant treatment is an effective treatment for missing teeth, but is only available via the NHS in some specific clinical circumstances. The majority of people who receive this treatment therefore pay privately, often at substantial cost to themselves. People are used to paying towards dental treatment costs. However, dental implant treatment is much more expensive than existing treatments – such as removable dentures. We know very little about how dentists make decisions about whether to offer such treatments, or what patients consider when deciding whether or not to pay for them. Methods/Design Mixed methods will be employed to provide insight and understanding into how clinical need is determined, and what influences people's decision making processes when deciding whether or not to pursue a dental implant treatment. Phase 1 will use a structured scoping questionnaire with all the General dental practitioners (GDPs) in three Primary Care Trust areas (n = 300) to provide base-line data about existing practice in relation to dental implant treatment, and to provide data to develop a systematic sampling procedure for Phase 2. Phases 2 (GDPs) and 3 (patients) use qualitative focused one to one interviews with a sample of these practitioners (up to 30) and their patients (up to 60) to examine their views and experiences of decision making in relation to dental implant treatment. Purposive sampling for phases 2 and 3 will be carried out to ensure participants represent a range of socio-economic circumstances, and choices made. Discussion Most dental implant treatment is conducted in primary care. Very little information was available prior to this study about the quantity and type of treatment carried out privately. It became apparent during phase 2 that ISOD treatment was an unusual treatment in

  4. A Mobile Clinical Decision Support Tool for Pediatric Cardiovascular Risk-Reduction Clinical Practice Guidelines: Development and Description

    PubMed Central

    2017-01-01

    Background Widespread application of research findings to improve patient outcomes remains inadequate, and failure to routinely translate research findings into daily clinical practice is a major barrier for the implementation of any evidence-based guideline. Strategies to increase guideline uptake in primary care pediatric practices and to facilitate adherence to recommendations are required. Objective Our objective was to operationalize the US National Heart, Lung, and Blood Institute’s Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents into a mobile clinical decision support (CDS) system for healthcare providers, and to describe the process development and outcomes. Methods To overcome the difficulty of translating clinical practice guidelines into a computable form that can be used by a CDS system, we used a multilayer framework to convert the evidence synthesis into executable knowledge. We used an iterative process of design, testing, and revision through each step in the translation of the guidelines for use in a CDS tool to support the development of 4 validated modules: an integrated risk assessment; a blood pressure calculator; a body mass index calculator; and a lipid management instrument. Results The iterative revision process identified several opportunities to improve the CDS tool. Operationalizing the integrated guideline identified numerous areas in which the guideline was vague or incorrect and required more explicit operationalization. Iterative revisions led to workable solutions to problems and understanding of the limitations of the tool. Conclusions The process and experiences described provide a model for other mobile CDS systems that translate written clinical practice guidelines into actionable, real-time clinical recommendations. PMID:28270384

  5. ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

    NASA Astrophysics Data System (ADS)

    Berthon, Beatrice; Marshall, Christopher; Evans, Mererid; Spezi, Emiliano

    2016-07-01

    Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiotherapy treatment planning. PET automatic segmentation (PET-AS) eliminates intra- and interobserver variability, but there is currently no consensus on the optimal method to use, as different algorithms appear to perform better for different types of tumours. This work aimed to develop a predictive segmentation model, trained to automatically select and apply the best PET-AS method, according to the tumour characteristics. ATLAAS, the automatic decision tree-based learning algorithm for advanced segmentation is based on supervised machine learning using decision trees. The model includes nine PET-AS methods and was trained on a 100 PET scans with known true contour. A decision tree was built for each PET-AS algorithm to predict its accuracy, quantified using the Dice similarity coefficient (DSC), according to the tumour volume, tumour peak to background SUV ratio and a regional texture metric. The performance of ATLAAS was evaluated for 85 PET scans obtained from fillable and printed subresolution sandwich phantoms. ATLAAS showed excellent accuracy across a wide range of phantom data and predicted the best or near-best segmentation algorithm in 93% of cases. ATLAAS outperformed all single PET-AS methods on fillable phantom data with a DSC of 0.881, while the DSC for H&N phantom data was 0.819. DSCs higher than 0.650 were achieved in all cases. ATLAAS is an advanced automatic image segmentation algorithm based on decision tree predictive modelling, which can be trained on images with known true contour, to predict the best PET-AS method when the true contour is unknown. ATLAAS provides robust and accurate image segmentation with potential applications to radiation oncology.

  6. Anticoagulation manager: development of a clinical decision support mobile application for management of anticoagulants.

    PubMed

    Chih-Wen Cheng; Hang Wu; Thompson, Pamela J; Taylor, Julie R; Zehnbauer, Barbara A; Wilson, Karlyn K; Wang, May D

    2016-08-01

    Patients with certain clotting disorders or conditions have a greater risk of developing arterial or venous clots and downstream embolisms, strokes, and arterial insufficiency. These patients need prescription anticoagulant drugs to reduce the possibility of clot formation. However, historically, the clinical decision making workflow in determining the correct type and dosage of anticoagulant(s) is part science and part art. To address this problem, we developed Anticoagulation Manager, an intelligent clinical decision workflow management system on iOS-based mobile devices to help clinicians effectively choose the most appropriate and helpful follow-up clotting tests for patients with a common clotting profile. The app can provide physicians guidance to prescribe the most appropriate medication for patients in need of anticoagulant drugs. This intelligent app was jointly designed and developed by medical professionals in CDC and engineers at Georgia Tech, and will be evaluated by physicians for ease-of-use, robustness, flexibility, and scalability. Eventually, it will be deployed and shared in both physician community and developer community.

  7. Valuing structured professional judgment: predictive validity, decision-making, and the clinical-actuarial conflict.

    PubMed

    Falzer, Paul R

    2013-01-01

    Structured professional judgment (SPJ) has received considerable attention as an alternative to unstructured clinical judgment and actuarial assessment, and as a means of resolving their ongoing conflict. However, predictive validity studies have typically relied on receiver operating characteristic (ROC) analysis, the same technique commonly used to validate actuarial assessment tools. This paper presents SPJ as distinct from both unstructured clinical judgment and actuarial assessment. A key distinguishing feature of SPJ is the contribution of modifiable factors, either dynamic or protective, to summary risk ratings. With modifiable factors, the summary rating scheme serves as a prognostic model rather than a classification procedure. However, prognostic models require more extensive and thorough predictive validity testing than can be provided by ROC analysis. It is proposed that validation should include calibration and reclassification techniques, as well as additional measures of discrimination. Several techniques and measures are described and illustrated. The paper concludes by tracing the limitations of ROC analysis to its philosophical foundation and its origin as a statistical theory of decision-making. This foundation inhibits the performance of crucial tasks, such as determining the sufficiency of a risk assessment and examining the evidentiary value of statistical findings. The paper closes by noting a current effort to establish a viable and complementary relationship between SPJ and decision-making theory.

  8. Using statistical process control to make data-based clinical decisions.

    PubMed Central

    Pfadt, A; Wheeler, D J

    1995-01-01

    Applied behavior analysis is based on an investigation of variability due to interrelationships among antecedents, behavior, and consequences. This permits testable hypotheses about the causes of behavior as well as for the course of treatment to be evaluated empirically. Such information provides corrective feedback for making data-based clinical decisions. This paper considers how a different approach to the analysis of variability based on the writings of Walter Shewart and W. Edwards Deming in the area of industrial quality control helps to achieve similar objectives. Statistical process control (SPC) was developed to implement a process of continual product improvement while achieving compliance with production standards and other requirements for promoting customer satisfaction. SPC involves the use of simple statistical tools, such as histograms and control charts, as well as problem-solving techniques, such as flow charts, cause-and-effect diagrams, and Pareto charts, to implement Deming's management philosophy. These data-analytic procedures can be incorporated into a human service organization to help to achieve its stated objectives in a manner that leads to continuous improvement in the functioning of the clients who are its customers. Examples are provided to illustrate how SPC procedures can be used to analyze behavioral data. Issues related to the application of these tools for making data-based clinical decisions and for creating an organizational climate that promotes their routine use in applied settings are also considered. PMID:7592154

  9. Clinical decision making in a patient with secondary hip-spine syndrome.

    PubMed

    Burns, Scott A; Mintken, Paul E; Austin, Gary P

    2011-07-01

    The prevalence of lumbar and hip pathology is on the rise; however, treatment outcomes have not improved, highlighting the difficulty in identifying and treating the correct impairments. The purpose of this case report is to describe the clinical decision making in the examination and treatment of an individual with secondary hip-spine syndrome. Our case study was a 62-year-old male with low back pain with concomitant right hip pain. His Oswestry Disability Index (ODI) was 18%, back numeric pain rating scale (NPRS) was 4/10, fear avoidance beliefs questionnaire (FABQ) work subscale was 0, FABQ physical activity subscale was 18, and patient specific functional scale (PSFS) was 7.33. Physical examination revealed findings consistent with secondary hip-spine syndrome. He was treated for four visits with joint mobilization/manipulation and strengthening exercises directed at the hip. At discharge, all standardized outcome measures achieved full resolution. Clinical decision making in the presence of lumbopelvic-hip pain is often difficult. Previous literature has shown that some patients with lumbopelvic-hip pain respond favorably to manual therapy and exercise targeting regions adjacent to the lumbar spine. The findings of this case report suggest that individuals with a primary complaint of LBP with hip impairments may benefit from interventions to reduce hip impairments.

  10. Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial

    PubMed Central

    Pang, Justine; Feblowitz, Joshua C; Maloney, Francine L; Wilcox, Allison R; McLoughlin, Karen Sax; Ramelson, Harley; Schneider, Louise; Bates, David W

    2012-01-01

    Background Accurate clinical problem lists are critical for patient care, clinical decision support, population reporting, quality improvement, and research. However, problem lists are often incomplete or out of date. Objective To determine whether a clinical alerting system, which uses inference rules to notify providers of undocumented problems, improves problem list documentation. Study Design and Methods Inference rules for 17 conditions were constructed and an electronic health record-based intervention was evaluated to improve problem documentation. A cluster randomized trial was conducted of 11 participating clinics affiliated with a large academic medical center, totaling 28 primary care clinical areas, with 14 receiving the intervention and 14 as controls. The intervention was a clinical alert directed to the provider that suggested adding a problem to the electronic problem list based on inference rules. The primary outcome measure was acceptance of the alert. The number of study problems added in each arm as a pre-specified secondary outcome was also assessed. Data were collected during 6-month pre-intervention (11/2009–5/2010) and intervention (5/2010–11/2010) periods. Results 17 043 alerts were presented, of which 41.1% were accepted. In the intervention arm, providers documented significantly more study problems (adjusted OR=3.4, p<0.001), with an absolute difference of 6277 additional problems. In the intervention group, 70.4% of all study problems were added via the problem list alerts. Significant increases in problem notation were observed for 13 of 17 conditions. Conclusion Problem inference alerts significantly increase notation of important patient problems in primary care, which in turn has the potential to facilitate quality improvement. Trial Registration ClinicalTrials.gov: NCT01105923. PMID:22215056

  11. Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention

    PubMed Central

    Johns, Ellis B; Halpenny, Barbara; Saunders, Toni-Ann; Brzozowski, Jane; Del Fiol, Guilherme; Berry, Donna L; Braun, Ilana M; Finn, Kathleen; Wolfe, Joanne; Abrahm, Janet L; Cooley, Mary E

    2016-01-01

    Background Management of uncontrolled symptoms is an important component of quality cancer care. Clinical guidelines are available for optimal symptom management, but are not often integrated into the front lines of care. The use of clinical decision support (CDS) at the point-of-care is an innovative way to incorporate guideline-based symptom management into routine cancer care. Objective The objective of this study was to develop and evaluate a rule-based CDS system to enable management of multiple symptoms in lung cancer patients at the point-of-care. Methods This study was conducted in three phases involving a formative evaluation, a system evaluation, and a contextual evaluation of clinical use. In Phase 1, we conducted iterative usability testing of user interface prototypes with patients and health care providers (HCPs) in two thoracic oncology clinics. In Phase 2, we programmed complex algorithms derived from clinical practice guidelines into a rules engine that used Web services to communicate with the end-user application. Unit testing of algorithms was conducted using a stack-traversal tree-spanning methodology to identify all possible permutations of pathways through each algorithm, to validate accuracy. In Phase 3, we evaluated clinical use of the system among patients and HCPs in the two clinics via observations, structured interviews, and questionnaires. Results In Phase 1, 13 patients and 5 HCPs engaged in two rounds of formative testing, and suggested improvements leading to revisions until overall usability scores met a priori benchmarks. In Phase 2, symptom management algorithms contained between 29 and 1425 decision nodes, resulting in 19 to 3194 unique pathways per algorithm. Unit testing required 240 person-hours, and integration testing required 40 person-hours. In Phase 3, both patients and HCPs found the system usable and acceptable, and offered suggestions for improvements. Conclusions A rule-based CDS system for complex symptom management

  12. Mentoring clinical ladder advancement with a facilitated prep class.

    PubMed

    Winslow, Susan A; Blankenship, Jean

    2007-01-01

    The authors describe a strategy for encouraging participation and overcoming reluctance of staff to participate in an optional professional advancement career ladder program. A facilitated prep class in a computer skills laboratory provides nurses with the framework for completing application requirements in a casual, supportive atmosphere.

  13. Advancing description and explanation in clinical linguistics: a legacy of Martin J. Ball.

    PubMed

    Damico, Jack S; Damico, Holly L; Nelson, Ryan L

    2011-11-01

    This article asserts the importance of explication of order and disorder in language as a privileged objective of clinical linguistics and service delivery and reviews the contributions of Martin Ball in advancing this agenda.

  14. Vinflunine in the treatment of advanced urothelial cancer: clinical evidence and experience

    PubMed Central

    Gerullis, Holger; Wawroschek, Friedhelm; Köhne, Claus-Henning; Ecke, Thorsten Holger

    2016-01-01

    Vinflunine (VFL) has been approved in Europe for second-line treatment of metastatic and advanced urothelial cancer after failure of platin-containing therapy. Since approval, the drug has been investigated in few clinical trials. Most of the currently available reports describe experiences with VFL in a daily clinical setting. This review gives a short overview on clinical experiences and clinical trials involving VFL since the approval of this drug in 2009. PMID:28042310

  15. Durable left ventricular assist device therapy in advanced heart failure: Patient selection and clinical outcomes

    PubMed Central

    Shah, Sachin P.; Mehra, Mandeep R.

    2016-01-01

    The increasing adoption of left ventricular assist devices (LVADs) into clinical practice is related to a combination of engineering advances in pump technology and improvements in understanding the appropriate clinical use of these devices in the management of patients with advanced heart failure. This review intends to assist the clinician in identifying candidates for LVAD implantation, to examine long-term outcomes and provide an overview of the common complications related to use of these devices. PMID:27056652

  16. A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy.

    PubMed

    Kunhimangalam, Reeda; Ovallath, Sujith; Joseph, Paul K

    2014-04-01

    The prevalence of peripheral neuropathy in general population is ever increasing. The diagnosis and classification of peripheral neuropathies is often difficult as it involves careful clinical and electro-diagnostic examination by an expert neurologist. In developing countries a large percentage of the disease remains undiagnosed due to lack of adequate number of experts. In this study a novel clinical decision support system has been developed using a fuzzy expert system. The study was done to provide a solution to the demand of systems that can improve health care by accurate diagnosis in limited time, in the absence of specialists. It employs a graphical user interface and a fuzzy logic controller with rule viewer for identification of the type of peripheral neuropathy. An integrated medical records database is also developed for the storage and retrieval of the data. The system consists of 24 input fields, which includes the clinical values of the diagnostic test and the clinical symptoms. The output field is the disease diagnosis, whether it is Motor (Demyelinating/Axonopathy) neuropathy, sensory (Demyelinating/Axonopathy) neuropathy, mixed type or a normal case. The results obtained were compared with the expert's opinion and the system showed 93.27 % accuracy. The study aims at showing that Fuzzy Expert Systems may prove useful in providing diagnostic and predictive medical opinions. It enables the clinicians to arrive at a better diagnosis as it keeps the expert knowledge in an intelligent system to be used efficiently and effectively.

  17. Lung cancer patients' decisions about clinical trials and the theory of planned behavior.

    PubMed

    Quinn, Gwendolyn P; Pratt, Christie L; Bryant-George, Kathy; Caraway, Vicki D; Paternoster, Bonnie; Roldan, Tere; Shaffer, Andrea; Shimizu, Cynthia O; Vaughn, Elizabeth J; Williams, Charles; Bepler, Gerold

    2011-12-01

    The theory of planned behavior explores the relationship between behavior, beliefs, attitudes, and intentions presupposing that behavioral intention is influenced by a person's attitude about the behavior and beliefs about whether individuals, who are important to them, approve or disapprove of the behavior (subjective norm). An added dimension to the theory is the idea of perceived behavioral control, or the belief that one has control over performing the behavior. The theory of planned behavior suggests that people may make greater efforts to perform a behavior if they feel they have a high level of control over it. In this examination of data, we explored the application of the theory of planned behavior to patient's decisions about participating in a clinic trial. Twelve respondents in this study had previously participated in a clinical trial for lung cancer and nine respondents had declined a clinical trial for lung cancer. The data were analyzed with regard to the four constructs associated with the theory of planned behavior: behavioral intention, attitude, subjective norm, and perceived behavioral control. Results indicate that the theory of planned behavior may be a useful tool to examine psychosocial needs in relation to behavioral intention of clinical trial participation.

  18. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study

    PubMed Central

    2012-01-01

    Background The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. Methods Guided by the Multiple Perspectives Framework, the authors conducted ethnographic field studies at two community hospitals and five ambulatory clinic organizations across the U.S. Using a Rapid Assessment Process, a multidisciplinary research team: gathered preliminary assessment data; conducted on-site interviews, observations, and field surveys; analyzed data using both template and grounded methods; and developed universal themes. A panel of experts produced recommended practices. Results The team identified ten themes related to CDS and KM. These include: 1) workflow; 2) knowledge management; 3) data as a foundation for CDS; 4) user computer interaction; 5) measurement and metrics; 6) governance; 7) translation for collaboration; 8) the meaning of CDS; 9) roles of special, essential people; and 10) communication, training, and support. Experts developed recommendations about each theme. The original Multiple Perspectives framework was modified to make explicit a new theoretical construct, that of Translational Interaction. Conclusions These ten themes represent areas that need attention if a clinic or community hospital plans to implement and successfully utilize CDS. In addition, they have implications for workforce education, research, and national-level policy development. The Translational Interaction construct could guide future applied informatics research endeavors. PMID:22333210

  19. Esophageal perforation: diagnostic work-up and clinical decision-making in the first 24 hours

    PubMed Central

    2011-01-01

    Esophageal perforation is a rare and potentially life-threatening condition. Early clinical suspicion and imaging is important for case management to achieve a good outcome. However, recent studies continue to report high morbidity and mortality greater than 20% from esophageal perforation. At least half of the perforations are iatrogenic, mostly related to endoscopic instrumentation used in the upper gastrointestinal tract, while about a third are spontaneous perforations. Surgical treatment remains an important option for many patients, but a non-operative approach, with or without use of an endoscopic stent or placement of internal or external drains, should be considered when the clinical situation allows for a less invasive approach. The rarity of this emergency makes it difficult for a physician to obtain extensive individual clinical experience; it is also challenging to obtain firm scientific evidence that informs patient management and clinical decision-making. Improved attention to non-specific symptoms and signs and early diagnosis based on imaging may translate into better outcomes for this group of patients, many of whom are elderly with significant comorbidity. PMID:22035338

  20. Advanced Decision-Support for Coastal Beach Health: Virtual Beach 3.0

    EPA Science Inventory

    Virtual Beach is a free decision-support system designed to help beach managers and researchers construct, evaluate, and operate site-specific statistical models that can predict levels of fecal indicator bacteria (FIB) based on environmental conditions that are more readily mea...

  1. Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool

    PubMed Central

    Furberg, Robert D; Bagwell, Jacqueline E; LaBresh, Kenneth A

    2016-01-01

    Background Cardiovascular disease (CVD) is 1 of the leading causes of death, years of life lost, and disability-adjusted years of life lost worldwide. CVD prevention for children and teens is needed, as CVD risk factors and behaviors beginning in youth contribute to CVD development. In 2012, the National Heart, Lung, and Blood Institute released their “Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents” for clinicians, describing CVD risk factors they should address with patients at primary care preventative visits. However, uptake of new guidelines is slow. Clinical decision support (CDS) tools can improve guideline uptake. In this paper, we describe our process of testing and adapting a CDS tool to help clinicians evaluate patient risk, recommend behaviors to prevent development of risk, and complete complex calculations to determine appropriate interventions as recommended by the guidelines, using a user-centered design approach. Objective The objective of the study was to assess the usability of a pediatric CVD risk factor tool by clinicians. Methods The tool was tested using one-on-one in-person testing and a “think aloud” approach with 5 clinicians and by using the tool in clinical practice along with formal usability metrics with 14 pediatricians. Thematic analysis of the data from the in-person testing and clinical practice testing identified suggestions for change in 3 major areas: user experience, content refinement, and technical deployment. Descriptive statistical techniques were employed to summarize users’ overall experience with the tool. Results Data from testers showed that general reactions toward the CDS tool were positive. Clinical practice testers suggested revisions to make the application more user-friendly, especially for clinicians using the application on the iPhone, and called for refining recommendations to be more succinct and better tailored to the patient. Tester feedback was

  2. Referring periodontal patients: clinical decision making by dental and dental hygiene students.

    PubMed

    Williams, Karen B; Burgardt, Grayson J; Rapley, John W; Bray, Kimberly K; Cobb, Charles M

    2014-03-01

    Referral of periodontal patients requires development of a complex set of decision making skills. This study was conducted to determine criteria used by dental and dental hygiene students regarding the referral of periodontal patients for specialty care. Using mixed methods, a thirteen-item survey was developed to elicit the students' perceptions of their knowledge, confidence regarding managing patients, and clinical reasoning related to periodontal patients. The instrument was administered during the summer prior to (T1) and at the end of the students' final year (T2) of training. Seventy-nine dental students (81 percent of total class) and thirty dental hygiene students (83 percent of total class) completed T1. At T2, forty-two dental (44 percent of total class) and twenty-six dental hygiene students (87 percent of total class) completed the questionnaire. While 90 percent of dental and 96 percent of dental hygiene respondents reported a willingness to refer patients with active disease to specialists, only 40 percent of dental and 36 percent of dental hygiene respondents reported confidence in diagnosing, treating, and appropriately referring such patients. The students' ability to recognize critical disease and risk factors influencing referral was good; however, clinical application of that knowledge indicated a gap between knowledge and applied reasoning. The students' attitudes about the importance of periodontal disease and their perceived competence to identify critical disease risk factors were not significantly related (p>0.05) to correct clinical decisions in the case scenarios. The study concludes that dental and dental hygiene curricula should emphasize both the acquisition and application of knowledge regarding criteria for referral of periodontal patients.

  3. Improving the care of children with urinary tract infection: use of a clinical decision proforma.

    PubMed

    Leach, Daniel

    2015-01-01

    Urinary tract infection (UTI) is a common and important clinical problem in children. Follow up imaging is indicated in some cases to reduce the risk of long-term harm from UTI and sometimes to help guide acute management. Overuse of imaging may be harmful due to radiation exposure, as well as increasing demand on services and budgets. On the other hand under-use of imaging may leave children vulnerable to renal damage and long-term morbidity. Accepted standards propose an imaging strategy specific to age and type of UTI. The complexity of the guideline makes compliance with the standards challenging. The aim of this project was to assess current practice for imaging of children with UTI managed at The Royal Oldham Hospital and to improve compliance with accepted standards through the use of a proforma to aid clinical decision making, supported by an education programme. A retrospective audit was performed over a 6 month period both prior to and after the intervention. The baseline audit found 57.7% of children treated for UTI (n=26) had imaging compliant with the accepted standards, which improved to 75.9% (n=29) on post-measurement. The percentage of inappropriate investigations reduced from 52.4% to 10.5%. The percentage of missed investigations reduced from 35.0% to 32.0%. The proforma was used and filed in 40% of cases where practice was in line with accepted standards. It was not used in any of the cases where practice deviated. In conclusion, a clear clinical decision aid, supported by an education programme, can significantly improve compliance with accepted standards for imaging of children with UTI. This may also be transferable to other scenarios where guidelines exist but have reduced efficacy due to complexity and/or lack of understanding.

  4. Genetics of deafness: recent advances and clinical implications.

    PubMed

    Goldfarb, Abraham; Avraham, Karen B

    2002-01-01

    Genetic research into the causes of deafness has advanced considerably in the last years. Progress has been made in both discovering loci and cloning genes associated with syndromic and non-syndromic hearing loss. To date, close to 75 loci have been identified and 29 genes have been cloned for non-syndromic deafness. The proteins these genes encode range from transcription factors to molecular motors to ion channels. We review the recent discoveries and discuss the impact of this research.

  5. Major clinical research advances in gynecologic cancer in 2015

    PubMed Central

    2016-01-01

    In 2015, fourteen topics were selected as major research advances in gynecologic oncology. For ovarian cancer, high-level evidence for annual screening with multimodal strategy which could reduce ovarian cancer deaths was reported. The best preventive strategies with current status of evidence level were also summarized. Final report of chemotherapy or upfront surgery (CHORUS) trial of neoadjuvant chemotherapy in advanced stage ovarian cancer and individualized therapy based on gene characteristics followed. There was no sign of abating in great interest in immunotherapy as well as targeted therapies in various gynecologic cancers. The fifth Ovarian Cancer Consensus Conference which was held in November 7–9 in Tokyo was briefly introduced. For cervical cancer, update of human papillomavirus vaccines regarding two-dose regimen, 9-valent vaccine, and therapeutic vaccine was reviewed. For corpus cancer, the safety concern of power morcellation in presumed fibroids was explored again with regard to age and prevalence of corpus malignancy. Hormone therapy and endometrial cancer risk, trabectedin as an option for leiomyosarcoma, endometrial cancer and Lynch syndrome, and the radiation therapy guidelines were also discussed. In addition, adjuvant therapy in vulvar cancer and the updated of targeted therapy in gynecologic cancer were addressed. For breast cancer, palbociclib in hormone-receptor-positive advanced disease, oncotype DX Recurrence Score in low-risk patients, regional nodal irradiation to internal mammary, supraclavicular, and axillary lymph nodes, and cavity shave margins were summarized as the last topics covered in this review. PMID:27775259

  6. Major clinical research advances in gynecologic cancer in 2015.

    PubMed

    Suh, Dong Hoon; Kim, Miseon; Kim, Hak Jae; Lee, Kyung Hun; Kim, Jae Weon

    2016-11-01

    In 2015, fourteen topics were selected as major research advances in gynecologic oncology. For ovarian cancer, high-level evidence for annual screening with multimodal strategy which could reduce ovarian cancer deaths was reported. The best preventive strategies with current status of evidence level were also summarized. Final report of chemotherapy or upfront surgery (CHORUS) trial of neoadjuvant chemotherapy in advanced stage ovarian cancer and individualized therapy based on gene characteristics followed. There was no sign of abating in great interest in immunotherapy as well as targeted therapies in various gynecologic cancers. The fifth Ovarian Cancer Consensus Conference which was held in November 7-9 in Tokyo was briefly introduced. For cervical cancer, update of human papillomavirus vaccines regarding two-dose regimen, 9-valent vaccine, and therapeutic vaccine was reviewed. For corpus cancer, the safety concern of power morcellation in presumed fibroids was explored again with regard to age and prevalence of corpus malignancy. Hormone therapy and endometrial cancer risk, trabectedin as an option for leiomyosarcoma, endometrial cancer and Lynch syndrome, and the radiation therapy guidelines were also discussed. In addition, adjuvant therapy in vulvar cancer and the updated of targeted therapy in gynecologic cancer were addressed. For breast cancer, palbociclib in hormone-receptor-positive advanced disease, oncotype DX Recurrence Score in low-risk patients, regional nodal irradiation to internal mammary, supraclavicular, and axillary lymph nodes, and cavity shave margins were summarized as the last topics covered in this review.

  7. Why Current PTH Assays Mislead Clinical Decision Making in Patients with Secondary Hyperparathyroidism.

    PubMed

    Hocher, Berthold; Yin, Lianghong

    2017-02-10

    Preclinical studies in cell culture systems as well as in whole animal chronic kidney disease (CKD) models showed that parathyroid hormone (PTH), oxidized at the 2 methionine residues (positions 8 and 18), caused a loss of function. This was so far not considered in the development of PTH assays used in current clinical practice. Patients with advanced CKD are subject to oxidative stress, and plasma proteins (including PTH) are targets for oxidants. In patients with CKD, a considerable but variable fraction (about 70 to 90%) of measured PTH appears to be oxidized. Oxidized PTH (oxPTH) does not interact with the PTH receptor resulting in loss of biological activity. Currently used intact PTH (iPTH) assays detect both oxidized and non-oxPTH (n-oxPTH). Clinical studies demonstrated that bioactive, n-oxPTH, but not iPTH nor oxPTH, is associated with mortality in CKD patients.

  8. Autonomy, religion and clinical decisions: findings from a national physician survey

    PubMed Central

    Lawrence, R E; Curlin, F A

    2010-01-01

    Background Patient autonomy has been promoted as the most important principle to guide difficult clinical decisions. To examine whether practising physicians indeed value patient autonomy above other considerations, physicians were asked to weight patient autonomy against three other criteria that often influence doctors’ decisions. Associations between physicians’ religious characteristics and their weighting of the criteria were also examined. Methods Mailed survey in 2007 of a stratified random sample of 1000 US primary care physicians, selected from the American Medical Association masterfile. Physicians were asked how much weight should be given to the following: (1) the patient’s expressed wishes and values, (2) the physician’s own judgment about what is in the patient’s best interest, (3) standards and recommendations from professional medical bodies and (4) moral guidelines from religious traditions. Results Response rate 51% (446/879). Half of physicians (55%) gave the patient’s expressed wishes and values “the highest possible weight”. In comparative analysis, 40% gave patient wishes more weight than the other three factors, and 13% ranked patient wishes behind some other factor. Religious doctors tended to give less weight to the patient’s expressed wishes. For example, 47% of doctors with high intrinsic religious motivation gave patient wishes the “highest possible weight”, versus 67% of those with low (OR 0.5; 95% CI 0.3 to 0.8). Conclusions Doctors believe patient wishes and values are important, but other considerations are often equally or more important. This suggests that patient autonomy does not guide physicians’ decisions as much as is often recommended in the ethics literature. PMID:19332575

  9. Clinical experience with a decision support computer program using Bayes' theorem to diagnose chest pain patients.

    PubMed

    Aase, O

    1999-01-01

    A decision support computer program (DSP) was used by the emergency room physician as a diagnostic tool on patients admitted with acute chest pain to guide the referral of these patients either to the Coronary Care Unit (CCU) or general ward. The DSP used Bayes' theorem on 38 anamnestic and clinical variables to classify patients into one of nine diagnoses. During a six months trial period 32 physicians used the DSP to diagnose 493 patients admitted with acute chest pain. The physicians referred the patients to CCU or general ward based on their clinical judgements, the ECG findings and the diagnostic estimates given by the DSP. The program correctly diagnosed 150 (84%) of 178 patients with acute myocardial infarction and 63 of 112 patients with unstable angina. However, acute ischemic heart disease (acute myocardial infarction or unstable angina) was correctly classified by the DSP for 259 (89%) of 290 patients. By using the DSP, the number of patients unnecessarily referred to CCU was reduced from 35% to 19% and the number of patients in need of CCU observation misallocated to general ward was reduced from 13% to 10%. Thus, use of the DSP in the emergency room on easily available anamnestic and clinical variables may improve referrals to the CCU, optimize therapy and resource use.

  10. Longitudinal feasibility of MINDSET: a clinic decision aid for epilepsy self-management.

    PubMed

    Begley, Charles; Shegog, Ross; Harding, Angelique; Goldsmith, Corey; Hope, Omotola; Newmark, Michael

    2015-03-01

    The purpose of this paper is to report on the development and feasibility of the longitudinal version of MINDSET, a clinical tool to assist patients and health-care providers in epilepsy self-management. A previous study described the feasibility of using MINDSET to identify and prioritize self-management issues during a clinic visit. This paper describes the development of the longitudinal version of MINDSET and feasibility test over multiple visits with a printed action plan for goal setting and the capacity for monitoring changes in self-management. Feasibility was assessed based on 1) postvisit patient and provider interviews addressing ease of use and usefulness, patient/provider communication, and shared decision-making and 2) the capacity of the tool to monitor epilepsy characteristics and self-management over time. Results indicate MINDSET feasibility for 1) identifying and facilitating discussion of self-management issues during clinic visits, 2) providing a printable list of prioritized issues and tailored self-management goals, and 3) tracking changes in epilepsy characteristics and self-management over time.

  11. icuARM-An ICU Clinical Decision Support System Using Association Rule Mining

    PubMed Central

    Chanani, Nikhil; Venugopalan, Janani; Maher, Kevin; Wang, May Dongmei

    2013-01-01

    The rapid development of biomedical monitoring technologies has enabled modern intensive care units (ICUs) to gather vast amounts of multimodal measurement data about their patients. However, processing large volumes of complex data in real-time has become a big challenge. Together with ICU physicians, we have designed and developed an ICU clinical decision support system icuARM based on associate rule mining (ARM), and a publicly available research database MIMIC-II (Multi-parameter Intelligent Monitoring in Intensive Care II) that contains more than 40,000 ICU records for 30,000+patients. icuARM is constructed with multiple association rules and an easy-to-use graphical user interface (GUI) for care providers to perform real-time data and information mining in the ICU setting. To validate icuARM, we have investigated the associations between patients' conditions such as comorbidities, demographics, and medications and their ICU outcomes such as ICU length of stay. Coagulopathy surfaced as the most dangerous co-morbidity that leads to the highest possibility (54.1%) of prolonged ICU stay. In addition, women who are older than 50 years have the highest possibility (38.8%) of prolonged ICU stay. For clinical conditions treatable with multiple drugs, icuARM suggests that medication choice can be optimized based on patient-specific characteristics. Overall, icuARM can provide valuable insights for ICU physicians to tailor a patient's treatment based on his or her clinical status in real time. PMID:27170860

  12. The Arden Syntax standard for clinical decision support: experiences and directions.

    PubMed

    Samwald, Matthias; Fehre, Karsten; de Bruin, Jeroen; Adlassnig, Klaus-Peter

    2012-08-01

    Arden Syntax is a widely recognized standard for representing clinical and scientific knowledge in an executable format. It has a history that reaches back until 1989 and is currently maintained by the Health Level 7 (HL7) organization. We created a production-ready development environment, compiler, rule engine and application server for Arden Syntax. Over the course of several years, we have applied this Arden - Syntax - based CDS system in a wide variety of clinical problem domains, such as hepatitis serology interpretation, monitoring of nosocomial infections or the prediction of metastatic events in melanoma patients. We found the Arden Syntax standard to be very suitable for the practical implementation of CDS systems. Among the advantages of Arden Syntax are its status as an actively developed HL7 standard, the readability of the syntax, and various syntactic features such as flexible list handling. A major challenge we encountered was the technical integration of our CDS systems in existing, heterogeneous health information systems. To address this issue, we are currently working on incorporating the HL7 standard GELLO, which provides a standardized interface and query language for accessing data in health information systems. We hope that these planned extensions of the Arden Syntax might eventually help in realizing the vision of a global, interoperable and shared library of clinical decision support knowledge.

  13. [The added value of information summaries supporting clinical decisions at the point-of-care.

    PubMed

    Banzi, Rita; González-Lorenzo, Marien; Kwag, Koren Hyogene; Bonovas, Stefanos; Moja, Lorenzo

    2016-11-01

    Evidence-based healthcare requires the integration of the best research evidence with clinical expertise and patients' values. International publishers are developing evidence-based information services and resources designed to overcome the difficulties in retrieving, assessing and updating medical information as well as to facilitate a rapid access to valid clinical knowledge. Point-of-care information summaries are defined as web-based medical compendia that are specifically designed to deliver pre-digested, rapidly accessible, comprehensive, and periodically updated information to health care providers. Their validity must be assessed against marketing claims that they are evidence-based. We periodically evaluate the content development processes of several international point-of-care information summaries. The number of these products has increased along with their quality. The last analysis done in 2014 identified 26 products and found that three of them (Best Practice, Dynamed e Uptodate) scored the highest across all evaluated dimensions (volume, quality of the editorial process and evidence-based methodology). Point-of-care information summaries as stand-alone products or integrated with other systems, are gaining ground to support clinical decisions. The choice of one product over another depends both on the properties of the service and the preference of users. However, even the most innovative information system must rely on transparent and valid contents. Individuals and institutions should regularly assess the value of point-of-care summaries as their quality changes rapidly over time.

  14. Recent advances in targeted proteomics for clinical applications.

    PubMed

    Domon, Bruno; Gallien, Sebastien

    2015-04-01

    MS-based approaches using targeted methods have been widely adopted by the proteomics community to study clinical questions such as the evaluation of biomarkers. At present, the most widely used targeted MS method is the SRM technique typically performed on a triple quadrupole instrument. However, the high analytical demands for performing clinical studies in combination with the extreme complexity of the samples involved are a serious challenge. The segmentation of the biomarker evaluation workflow has only partially alleviated these issues by differently balancing the analytical requirements and throughput at different stages of the process. The recent introduction of targeted high-resolution and accurate-mass analyses on fast sequencing mass spectrometers operated in parallel reaction monitoring (PRM) mode offers new avenues to conduct clinical studies and thus overcome some of the limitations of the triple quadrupole instrument. This article discusses the attributes and specificities of the PRM technique, in terms of experimental design, execution, and data analysis, and the implications for biomarker evaluation. The benefits of PRM on data quality and the impact on the consistency of results are highlighted and the definitive progress on the overall output of clinical studies, including high throughput, is discussed.

  15. Advanced Natural Language Processing and Temporal Mining for Clinical Discovery

    ERIC Educational Resources Information Center

    Mehrabi, Saeed

    2016-01-01

    There has been vast and growing amount of healthcare data especially with the rapid adoption of electronic health records (EHRs) as a result of the HITECH act of 2009. It is estimated that around 80% of the clinical information resides in the unstructured narrative of an EHR. Recently, natural language processing (NLP) techniques have offered…

  16. Advances in basic and clinical immunology in 2009.

    PubMed

    Chinen, Javier; Shearer, William T

    2010-03-01

    In 2009, reports on basic and clinical immunology had an increased focus on human disease mechanisms and management. The molecular pathogenesis of familial angioedema associated with estrogen was further explored to find possible factors affecting severity, including polymorphisms in enzymes and receptors related to bradykinin pathways. A placebo-controlled clinical trial of C1 esterase inhibitor concentrate in patients with hereditary angioedema demonstrated the safety of its use and its efficacy to reduce the duration of angioedema attacks. The interaction of innate immunity and adaptive responses was further examined in several reports, establishing the significant role of Toll-like receptor stimulation for the development of optimal specific antibody responses. The 2009 update of the classification of primary immunodeficiencies introduced more than 15 new genetic defects related to the immune response, including of dedicator of cytokinesis 8 (DOCK8) mutations, which are responsible for the autosomal recessive form of the hyper-IgE syndrome. Other reports expanded the clinical spectrum of disease and improved the characterization of conditions such as warts, hypogammaglobulinemia, and myelokathexis syndrome or the occurrence of mucormycosis and Serratia species infections in patients with chronic granulomatous disease. The frequent presentation of gastrointestinal disorders in patients with humoral immunodeficiencies was recognized, and recommendations for management were reviewed. Clinical research focused on severe combined immunodeficiency included the development and implementation of a state-wide newborn screening program for this condition, a desired goal considering the significant reduction of mortality rate when the diagnosis is made early before opportunistic infections occur.

  17. [From library to clinical decision support systems: access of general practitioner to quality information].

    PubMed

    Fauquert, B

    2012-09-01

    Since 2003, the following tools have been implemented in Belgium for improving the access of general practioners to the EBM literature: the Digital Library for Health and the evidence-linker of the CEBAM, the portal EBMPracticeNet.be and the multidimensional electronic clinical decision support EBMeDS. The aim of this article is to show the progress achieved in the information dissemination toward the belgian general practioners, particularly the access from the electronic health record. From the literature published these last years, the opportunities cited by the users are for using EBM and the strong willingness for using these literature access in the future; the limits are the medical data coding, the irrelevance of the search results, the alerts fatigue induced by EBMeDS. The achievements done and planned for the new EBMPracticeNet guidelines portal and the EBMeDS system are explained in the aim of informing belgian healthcare professionals. These projects are claiming for lauching a participatory process in the production and dissemination of EBM information. The discussion is focused on the belgian healthcare system advantages, the solutions for a reasonable implementation of these projects and for increasing the place of an evidence-based information in the healthcare decision process. Finally the input of these projects to the continuing medical education and to the healthcare quality are discussed, in a context of multifactorial interaction healthcare design (complexity design).

  18. An image feature-based approach to automatically find images for application to clinical decision support.

    PubMed

    Stanley, R Joe; De, Soumya; Demner-Fushman, Dina; Antani, Sameer; Thoma, George R

    2011-07-01

    The illustrations in biomedical publications often provide useful information in aiding clinicians' decisions when full text searching is performed to find evidence in support of a clinical decision. In this research, image analysis and classification techniques are explored to automatically extract information for differentiating specific modalities to characterize illustrations in biomedical publications, which may assist in the evidence finding process. Global, histogram-based, and texture image illustration features were compared to basis function luminance histogram correlation features for modality-based discrimination over a set of 742 manually annotated images by modality (radiological, photo, etc.) selected from the 2004-2005 issues of the British Journal of Oral and Maxillofacial Surgery. Using a mean shifting supervised clustering technique, automatic modality-based discrimination results as high as 95.57% were obtained using the basis function features. These results compared favorably to other feature categories examined. The experimental results show that image-based features, particularly correlation-based features, can provide useful modality discrimination information.

  19. Using brain-based cognitive measures to support clinical decisions in ADHD.

    PubMed

    Williams, Leanne M; Hermens, Daniel F; Thein, Thida; Clark, C Richard; Cooper, Nicholas J; Clarke, Simon D; Lamb, Chris; Gordon, Evian; Kohn, Michael R

    2010-02-01

    Measures of cognition support diagnostic and treatment decisions in attention deficit hyperactivity disorder. We used an integrative neuroscience framework to assess cognition and associated brain-function correlates in large attention deficit hyperactivity disorder and healthy groups. Matched groups of 175 attention deficit hyperactivity disorder children/adolescents and 175 healthy control subjects were assessed clinically, with the touch screen-based cognitive assessment battery "IntegNeuro" (Brain Resource Ltd., Sydney, Australia) and the "LabNeuro" (Brain Resource Ltd., Sydney, Australia) platform for psychophysiologic recordings of brain function and body arousal. IntegNeuro continuous performance task measures of sustained attention classified 68% of attention deficit hyperactivity disorder patients with 76% specificity, consistent with previous reports. Our additional cognitive measures of impulsivity, intrusive errors, inhibition, and response variability improved sensitivity to 88%, and specificity to 91%. Positive predictive power was 96%, and negative predictive power, 88%. These metrics were stable across attention deficit hyperactivity disorder subtypes and age. Consistent with their brain-based validity, cognitive measures were correlated with corresponding brain-function and body-arousal measures. We propose a combination of candidate cognitive "markers" that define a signature for attention deficit hyperactivity disorder: "sustained attention," "impulsivity," "inhibition," "intrusions," and "response variability." These markers offer a frame of reference to support diagnostic and treatment decisions, and an objective benchmark for monitoring outcomes of interventions.

  20. Vismodegib induces significant clinical response in locally advanced trichoblastic carcinoma.

    PubMed

    Lepesant, P; Crinquette, M; Alkeraye, S; Mirabel, X; Dziwniel, V; Cribier, B; Mortier, L

    2015-10-01

    Patients with advanced basal cell carcinoma due to local extension or metastatic disease were previously at a therapeutic impasse. Targeted inhibition of the sonic hedgehog pathway by vismodegib represents a new therapeutic strategy. Adnexal carcinomas are rare malignant skin tumours derived from epithelial annexes. Conventional treatment of adnexal tumours is based on surgical excision. Although the radiosensitivity of adnexal carcinomas has not been established, radiotherapy could be offered alone or in combination in locally advanced or inoperable disease. Chemotherapy represents a therapeutic option in the treatment of metastatic adnexal tumours. Currently there is no effective treatment for these tumours when they become metastatic or unresectable, and treatment is palliative. Sunitinib represents a new therapeutic strategy, with efficiency described in the literature for a small number of patients. However, its efficacy is partial, and its tolerance is not always good. We report a patient with trichoblastic carcinoma, initially diagnosed as basal cell carcinoma, treated effectively with vismodegib. The remarkable response we have observed in this patient suggests an encouraging therapeutic role of vismodegib in trichoblastic carcinoma that should be evaluated in a carefully designed trial.

  1. Service oriented architecture for clinical decision support: a systematic review and future directions.

    PubMed

    Loya, Salvador Rodriguez; Kawamoto, Kensaku; Chatwin, Chris; Huser, Vojtech

    2014-12-01

    The use of a service-oriented architecture (SOA) has been identified as a promising approach for improving health care by facilitating reliable clinical decision support (CDS). A review of the literature through October 2013 identified 44 articles on this topic. The review suggests that SOA related technologies such as Business Process Model and Notation (BPMN) and Service Component Architecture (SCA) have not been generally adopted to impact health IT systems' performance for better care solutions. Additionally, technologies such as Enterprise Service Bus (ESB) and architectural approaches like Service Choreography have not been generally exploited among researchers and developers. Based on the experience of other industries and our observation of the evolution of SOA, we found that the greater use of these approaches have the potential to significantly impact SOA implementations for CDS.

  2. Colon trauma--clinical staging for surgical decision making. Analysis of 119 cases.

    PubMed

    Morgado, P J; Alfaro, R; Morgado, P J; León, P

    1992-10-01

    A retrospective study is presented of 119 patients admitted to the Central Hospital of the Venezuelan Institute of Social Security, in Caracas, between 1982 and 1990, with the diagnosis of colon trauma. Several parameters including age, etiology, time elapsed between the accident or assault and hospital admission, preoperative and postoperative hemoglobin and diastolic blood pressure, associated lesions, procedure practiced, complication rate, and hospital mortality are reviewed. The second and third decades of life appear most often involved. Most patients reached the hospital within the first four hours of the accident or assault. Anemia, sustained diastolic hypotension, and number of organs involved in addition to the colon were important prognostic factors for complications. Apparently the surgical procedure, with simple suture or resection, mostly without "protective" colostomy, was not very relevant. Hospital mortality was 2.4 percent. A staging system based on clinical conditions for decision making in the operating room was used in an attempt to inject some objectivity into the surgical approach.

  3. An Investigation of Factors Influencing Nurses' Clinical Decision-Making Skills.

    PubMed

    Wu, Min; Yang, Jinqiu; Liu, Lingying; Ye, Benlan

    2016-08-01

    This study aims to investigate the influencing factors on nurses' clinical decision-making (CDM) skills. A cross-sectional nonexperimental research design was conducted in the medical, surgical, and emergency departments of two university hospitals, between May and June 2014. We used a quantile regression method to identify the influencing factors across different quantiles of the CDM skills distribution and compared the results with the corresponding ordinary least squares (OLS) estimates. Our findings revealed that nurses were best at the skills of managing oneself. Educational level, experience, and the total structural empowerment had significant positive impacts on nurses' CDM skills, while the nurse-patient relationship, patient care and interaction, formal empowerment, and information empowerment were negatively correlated with nurses' CDM skills. These variables explained no more than 30% of the variance in nurses' CDM skills and mainly explained the lower quantiles of nurses' CDM skills distribution.

  4. Bayesian decision sequential analysis with survival endpoint in phase II clinical trials.

    PubMed

    Zhao, Lili; Woodworth, George

    2009-04-30

    Chen and Chaloner (Statist. Med. 2006; 25:2956-2966. DOI: 10.1002/sim.2429) present a Bayesian stopping rule for a single-arm clinical trial with a binary endpoint. In some cases, earlier stopping may be possible by basing the stopping rule on the time to a binary event. We investigate the feasibility of computing exact, Bayesian, decision-theoretic time-to-event stopping rules for a single-arm group sequential non-inferiority trial relative to an objective performance criterion. For a conjugate prior distribution, exponential failure time distribution, and linear and threshold loss structures, we obtain the optimal Bayes stopping rule by backward induction. We compute frequentist operating characteristics of including Type I error, statistical power, and expected run length. We also briefly address design issues.

  5. Recurrent neural networks in computer-based clinical decision support for laryngopathies: an experimental study.

    PubMed

    Szkoła, Jarosław; Pancerz, Krzysztof; Warchoł, Jan

    2011-01-01

    The main goal of this paper is to give the basis for creating a computer-based clinical decision support (CDS) system for laryngopathies. One of approaches which can be used in the proposed CDS is based on the speech signal analysis using recurrent neural networks (RNNs). RNNs can be used for pattern recognition in time series data due to their ability of memorizing some information from the past. The Elman networks (ENs) are a classical representative of RNNs. To improve learning ability of ENs, we may modify and combine them with another kind of RNNs, namely, with the Jordan networks. The modified Elman-Jordan networks (EJNs) manifest a faster and more exact achievement of the target pattern. Validation experiments were carried out on speech signals of patients from the control group and with two kinds of laryngopathies.

  6. Randomized Trial of Population-Based Clinical Decision Support to Facilitate Care Transitions.

    PubMed

    Eisenstein, Eric L; Willis, Janese M; Edwards, Rex; Anstrom, Kevin J; Kawamoto, Kensaku; Fiol, Guilherme Del; Johnson, Fred S; Lobach, David F

    2017-01-01

    Medicaid beneficiaries in 6 North Carolina counties were randomly assigned to 1 of 3 clinical decision support (CDS) care transition strategies: (1) usual care (Control), (2) CDS messaging to patients and their medical homes (Reports), or (3) CDS messaging to patients, their medical homes, and their care managers (Reports+). We included 7146 Medicaid patients and evaluated transitions from specialist visit, ER and hospital encounters back to the patient's medical home. Patients enrolled in Medicare and Medicaid were not eligible. The number of care manager contacts was greater for patients in the Reports+ Group than in the Control Group. However, there were no treatment-related differences in emergency department (ED) encounter rates, or in the secondary outcomes of outpatient and hospital encounter rates and medical costs. Study monitors found study intervention documentation in approximately 60% of patient charts. These results highlight the importance of effectively integrating information interventions into healthcare delivery workflow systems.

  7. Implementing a decision-theoretic design in clinical trials: why and how?

    PubMed

    Palmer, Christopher R; Shahumyan, Harutyun

    2007-11-30

    This paper addresses two main questions: first, why should Bayesian and other innovative, data-dependent design models be put into practice and, secondly, given the past dearth of actual applications, how might one example of such a design be implemented in a genuine example trial? Clinical trials amalgamate theory, practice and ethics, but this last point has become relegated to the background, rather than taking often a more appropriate primary role. Trial practice has evolved but has its roots in R. A. Fisher's randomized agricultural field trials of the 1920s. Reasons for, and consequences of, this are discussed from an ethical standpoint, drawing on an under-used dichotomy introduced by French authors Lellouch and Schwartz (Int. Statist. Rev. 1971; 39:27-36). Plenty of ethically motivated designs for trials, including Bayesian designs have been proposed, but have found little application thus far. One reason for this is a lack of awareness of such alternative designs among trialists, while another reason is a lack of user-friendly software to allow study simulations. To encourage implementation, a new C++ program called 'Daniel' is introduced, offering much potential to assist the design of today's randomized controlled trials. Daniel evaluates a particular decision-theoretic method suitable for coping with either two or three Bernoulli response treatments with input features allowing user-specified choices of: patient horizon (number to be treated before and after the comparative stages of the trial); an arbitrary fixed trial truncation size (to allow ready comparison with traditional designs or to cope with practical constraints); anticipated success rates and a measure of their uncertainty (a matter ignored in standard power calculations); and clinically relevant, and irrelevant, differences in treatment effect sizes. Error probabilities and expected trial durations can be thoroughly explored via simulation, it being better by far to harm 'computer patients

  8. The 2013 symposium on pathology data integration and clinical decision support and the current state of field

    PubMed Central

    Baron, Jason M.; Dighe, Anand S.; Arnaout, Ramy; Balis, Ulysses J.; Black-Schaffer, W. Stephen; Carter, Alexis B.; Henricks, Walter H.; Higgins, John M.; Jackson, Brian R.; Kim, JiYeon; Klepeis, Veronica E.; Le, Long P.; Louis, David N.; Mandelker, Diana; Mermel, Craig H.; Michaelson, James S.; Nagarajan, Rakesh; Platt, Mihae E.; Quinn, Andrew M.; Rao, Luigi; Shirts, Brian H.; Gilbertson, John R.

    2014-01-01

    Background: Pathologists and informaticians are becoming increasingly interested in electronic clinical decision support for pathology, laboratory medicine and clinical diagnosis. Improved decision support may optimize laboratory test selection, improve test result interpretation and permit the extraction of enhanced diagnostic information from existing laboratory data. Nonetheless, the field of pathology decision support is still developing. To facilitate the exchange of ideas and preliminary studies, we convened a symposium entitled: Pathology data integration and clinical decision support. Methods: The symposium was held at the Massachusetts General Hospital, on May 10, 2013. Participants were selected to represent diverse backgrounds and interests and were from nine different institutions in eight different states. Results: The day included 16 plenary talks and three panel discussions, together covering four broad areas. Summaries of each presentation are included in this manuscript. Conclusions: A number of recurrent themes emerged from the symposium. Among the most pervasive was the dichotomy between diagnostic data and diagnostic information, including the opportunities that laboratories may have to use electronic systems and algorithms to convert the data they generate into more useful information. Differences between human talents and computer abilities were described; well-designed symbioses between humans and computers may ultimately optimize diagnosis. Another key theme related to the unique needs and challenges in providing decision support for genomics and other emerging diagnostic modalities. Finally, many talks relayed how the barriers to bringing decision support toward reality are primarily personnel, political, infrastructural and administrative challenges rather than technological limitations. PMID:24672737

  9. Clinical decision making by dentists working in the NHS General Dental Services since April 2006.

    PubMed

    Davies, B J B; Macfarlane, F

    2010-11-27

    In April 2006 a new contract was introduced that governed how NHS General Dental Practitioners would be funded for the services they provide. This study looks at the impact that the contract has had in the three years since its introduction, evaluating its influence on the clinical care that patients receive and the clinical decisions that dentists are making. This qualitative service evaluation involved interviewing 12 dentists representative of a range of NHS dentists involved with the new NHS dental contract using a semi-structured approach. We found evidence that the new contract has led to dentists making different decisions in their daily practice and sometimes altering their treatment plans and referral patterns to ensure that their business is not disadvantaged. Access to care for some patients without a regular dentist can be compromised by the new contract as it can be financially challenging for a dentist to accept to care for a new patient who has an unknown and potentially large need for treatment. Cherry-picking of potentially more profitable patients may be common. The incentive is to watch borderline problems rather than to treat if a treatment band threshold has already been crossed and treatment may be delayed until a later course of treatment for the same reason. Dentists often feel that complex treatments (for example, endodontic treatments) are financially unviable. Some dentists are referring difficult cases that might previously have been treated 'in house', such as extractions, to another provider, as this enables offloading of costs while potentially retaining full fees. Younger and less experienced dentists may be further pressured.

  10. Advanced Nursing Directives: Integrating Validated Clinical Scoring Systems into Nursing Care in the Pediatric Emergency Department

    PubMed Central

    deForest, Erin Kate; Thompson, Graham Cameron

    2012-01-01

    In an effort to improve the quality and flow of care provided to children presenting to the emergency department the implementation of nurse-initiated protocols is on the rise. We review the current literature on nurse-initiated protocols, validated emergency department clinical scoring systems, and the merging of the two to create Advanced Nursing Directives (ANDs). The process of developing a clinical pathway for children presenting to our pediatric emergency department (PED) with suspected appendicitis will be used to demonstrate the successful integration of validated clinical scoring systems into practice through the use of Advanced Nursing Directives. Finally, examples of 2 other Advanced Nursing Directives for common clinical PED presentations will be provided. PMID:22778944

  11. Recent Advances in Understanding Xenotransplantation: Implications for the Clinic

    PubMed Central

    Cooper, David K. C.; Bottino, Rita

    2016-01-01

    Summary The results of organ and cell allotransplantation continue to improve, but the field remains limited by a lack of deceased donor organs. Xenotransplantation, e.g., between pig and human, offers unlimited organs and cells for clinical transplantation. The immune barriers include a strong innate immune response in addition to the adaptive T cell response. The innate response has largely been overcome by the transplantation of organs from pigs with genetic modifications that protect their tissues from this response. T cell-mediated rejection can be controlled by immunosuppressive agents that inhibit costimulation. Coagulation dysfunction between the pig and primate remains problematic but is being overcome by the transplantation of organs from pigs that express human coagulation-regulatory proteins. The remaining barriers will be resolved by the introduction of novel genetically-engineered pigs. Limited clinical trials of pig islet and corneal transplantation are already underway. PMID:26548357

  12. An academic-business partnership for advancing clinical informatics.

    PubMed

    Connors, Helen R; Weaver, Charlotte; Warren, Judith; Miller, Karen L

    2002-01-01

    A jointly funded partnership between the school of nursing at a large midwestern university and a premier health care information technology supplier represents a pioneering event for education and for the health care information technology industry. The impetus for this partnership arose from Institute of Medicine reports published in late 1999 and early 2001 addressing the quality, error, and waste in the health care system in the United States. The Simulated E-hEalth Delivery System (SEEDS) provides opportunities based on best practices in education to learn and practice clinical skills in a state-of-the-art environment using a live-production, clinical information system designed for care delivery. A pilot project that began with a small cohort of baccalaureate nursing students has been implemented and extended. SEEDS will also be extended to other health professional programs.

  13. Opioid-induced constipation: advances and clinical guidance

    PubMed Central

    Nelson, Alfred D.; Camilleri, Michael

    2016-01-01

    Currently opioids are the most frequently used medications for chronic noncancer pain. Opioid-induced constipation is the most common adverse effect associated with prolonged use of opioids, having a major impact on quality of life. There is an increasing need to treat opioid-induced constipation. With the recent approval of medications for the treatment of opioid-induced constipation, there are several therapeutic approaches. This review addresses the clinical presentation and diagnosis of opioid-induced constipation, barriers to its diagnosis, effects of opioids in the gastrointestinal tract, differential tolerance to opiates in different gastrointestinal organs, medications approved and in development for the treatment of opioid-induced constipation, and a proposed clinical management algorithm for treating opioid-induced constipation in patients with noncancer pain. PMID:26977281

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

    PubMed

    Mackenzie, Colin F; Gao, Cheng; Hu, Peter F; Anazodo, Amechi; Chen, Hegang; Dinardo, Theresa; Imle, P Cristina; Hartsky, Lauren; Stephens, Christopher; Menaker, Jay; Fouche, Yvette; Murdock, Karen; Galvagno, Samuel; Alcorta, Richard; Shackelford, Stacy

    2015-03-01

    Early recognition of hemorrhage during the initial resuscitation of injured patients is associated with improved survival in both civilian and military casualties. We tested a transfusion and lifesaving intervention (LSI) prediction algorithm in comparison with clinical judgment of expert trauma care providers. We collected 15 min of pulse oximeter photopletysmograph waveforms and extracted features to predict LSIs. We compared this with clinical judgment of LSIs by individual categories of prehospital providers, nurses, and physicians and a combined judgment of all three providers using the Area Under Receiver Operating Curve (AUROC). We obtained clinical judgment of need for LSI from 405 expert clinicians in135 trauma patients. The pulse oximeter algorithm predicted transfusion within 6 h (AUROC, 0.92; P < 0.003) more accurately than either physicians or prehospital providers and as accurately as nurses (AUROC, 0.76; P = 0.07). For prediction of surgical procedures, the algorithm was as accurate as the three categories of clinicians. For prediction of fluid bolus, the diagnostic algorithm (AUROC, 0.9) was significantly more accurate than prehospital providers (AUROC, 0.62; P = 0.02) and nurses (AUROC, 0.57; P = 0.04) and as accurate as physicians (AUROC, 0.71; P = 0.06). Prediction of intubation by the algorithm (AUROC, 0.92) was as accurate as each of the three categories of clinicians. The algorithm was more accurate (P < 0.03) for blood and fluid prediction than the combined clinical judgment of all three providers but no different from the clinicians in the prediction of surgery (P = 0.7) or intubation (P = 0.8). Automated analysis of 15 min of pulse oximeter waveforms predicts the need for LSIs during initial trauma resuscitation as accurately as judgment of expert trauma clinicians. For prediction of emergency transfusion and fluid bolus, pulse oximetry features were more accurate than these experts. Such automated decision support could assist

  15. Clinical Performance and Management Outcomes with the DecisionDx-UM Gene Expression Profile Test in a Prospective Multicenter Study.

    PubMed

    Plasseraud, Kristen Meldi; Cook, Robert W; Tsai, Tony; Shildkrot, Yevgeniy; Middlebrook, Brooke; Maetzold, Derek; Wilkinson, Jeff; Stone, John; Johnson, Clare; Oelschlager, Kristen; Aaberg, Thomas M

    2016-01-01

    Uveal melanoma management is challenging due to its metastatic propensity. DecisionDx-UM is a prospectively validated molecular test that interrogates primary tumor biology to provide objective information about metastatic potential that can be used in determining appropriate patient care. To evaluate the continued clinical validity and utility of DecisionDx-UM, beginning March 2010, 70 patients were enrolled in a prospective, multicenter, IRB-approved study to document patient management differences and clinical outcomes associated with low-risk Class 1 and high-risk Class 2 results indicated by DecisionDx-UM testing. Thirty-seven patients in the prospective study were Class 1 and 33 were Class 2. Class 1 patients had 100% 3-year metastasis-free survival compared to 63% for Class 2 (log rank test p = 0.003) with 27.3 median follow-up months in this interim analysis. Class 2 patients received significantly higher-intensity monitoring and more oncology/clinical trial referrals compared to Class 1 patients (Fisher's exact test p = 2.1 × 10(-13) and p = 0.04, resp.). The results of this study provide additional, prospective evidence in an independent cohort of patients that Class 1 and Class 2 patients are managed according to the differential metastatic risk indicated by DecisionDx-UM. The trial is registered with Clinical Application of DecisionDx-UM Gene Expression Assay Results (NCT02376920).

  16. Advancing Porous Silicon Biosensor Technology for Use in Clinical Diagnostics

    NASA Astrophysics Data System (ADS)

    Bonanno, Lisa Marie

    Inexpensive and robust analytical techniques for detecting molecular recognition events are in great demand in healthcare, food safety, and environmental monitoring. Despite vast research in this area, challanges remain to develop practical biomolecular platforms that, meet the rigorous demands of real-world applications. This includes maintaining low-cost devices that are sensitive and specific in complex test specimens, are stable after storage, have short assay time, and possess minimal complexity of instrumentation for readout. Nanostructured porous silicon (PSi) material has been identified as an ideal candidate towards achieving these goals and the past decade has seen diverse proof-of-principle studies developing optical-based sensing techniques. In Part 1 of this thesis, the impact of surface chemistry and PSi morphology on detection sensitivity of target molecules is investigated. Initial proof-of-concept that PSi devices facilitate detection of protein in whole blood is demonstrated. This work highlights the importance of material stability and blocking chemistry for sensor use in real world biological samples. In addition, the intrinisic filtering capability of the 3-D PSi morphology is shown as an advantage in complex solutions, such as whole blood. Ultimately, this initial work identified a need to improve detection sensitivity of the PSI biosensor technique to facilitate clinical diagnostic use over relevant target concentration ranges. The second part of this thesis, builds upon sensitivity challenges that are highlighted in the first part of the thesis and development of a surface-bound competitive inhibition immunoassay facilitated improved detection sensitivity of small molecular weight targets (opiates) over a relevant clinical concentration range. In addition, optimization of assay protocol addressed issues of maintaining stability of sensors after storage. Performance of the developed assay (specificity and sensitivity) was then validated in a

  17. Advances in basic and clinical immunology in 2008.

    PubMed

    Chinen, Javier; Shearer, William T

    2009-02-01

    We reviewed selected reports in the field of basic and clinical immunology published in 2008. Research progress in the immunologic mechanisms of allergic disease included the modulation of T(H)2 responses by specific transcription factors and receptors associated with the innate immunity, underscoring the importance of the interactions between adaptive and innate immune mechanisms. Investigations of the pathophysiology of hereditary angioedema included a variety of host factors with roles in bradykinin metabolism and vasomotor activity, explaining the variable severity of the clinical presentation. The research focus in HIV infection has shifted from control of disease progression to the barriers for viral eradication, and the search for vaccine designs that provide immunity in the short window between infection and establishment of viral reservoirs. HIV-infected individuals who receive antiviral treatment develop a high incidence of asthma, resembling the inflammatory processes associated with immunoreconstitution. The correlation of molecular diagnosis and clinical presentation was analyzed in 4 relatively rare primary immunodeficiencies: hyper-IgE syndrome; immune dysfunction, polyendocrinopathy, enteropathy, X-linked disease; cartilage-hair hypoplasia; and nuclear factor-kappaB essential modulator deficiency. Studies of patients with partial DiGeorge syndrome and chronic granulomatous disease unveiled subclinical deficiencies that might have an impact in their care. Long-term outcomes from patients with severe combined immunodeficiency who received bone marrow transplants were considered successful compared with the alternative of no intervention. However, the occurrence of adverse events reinforces the need for coordinate efforts to develop optimal protocols for hematopoietic stem cell transplantation for severe immune defects.

  18. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.

    PubMed

    Roberts, Kirk; Boland, Mary Regina; Pruinelli, Lisiane; Dcruz, Jina; Berry, Andrew; Georgsson, Mattias; Hazen, Rebecca; Sarmiento, Raymond F; Backonja, Uba; Yu, Kun-Hsing; Jiang, Yun; Brennan, Patricia Flatley

    2017-04-01

    The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.

  19. Selecting Gravitational Wave Candidates for Electromagnetic Follow-up: Advanced LIGO/Virgo's Decision Making Process

    NASA Astrophysics Data System (ADS)

    Cho, Min-A.; LIGO Scientific Collaboration; Virgo Collaboration

    2016-03-01

    Some of the most violent events in the universe are bright in both their gravitational wave (GW) emission and electromagnetic (EM). This means that prospects for multi-messenger astronomy increase as more and more detectors join the search for gravitational waves. Here I present the protocol created by members of Advanced LIGO/Virgo's EM Follow-up Program which ultimately results in alerting its astronomy partners or not. I discuss the series of checks and questions performed by humans (follow-up advocates and control room personnel) and automated online software (Approval Processor). This talk will follow the fate of the gravitational wave candidate event after it first enters Advanced LIGO/Virgo's online candidate event database. We gratefully acknowledge the support of the U.S. National Science Foundation through Grant PHY-1404121.

  20. The desire to die: making treatment decisions for suicidal patients who have an advance directive.

    PubMed

    Salter, Erica K

    2014-01-01

    This article enumerates and critically examines the potential grounds on which we might treat the case of a patient with an advance directive who attempted suicide, differently from one whose injuries were the result of an accident. Grounds for differentiation are distilled into two potential justifications. The first addresses the concern that withholding or withdrawing care from a patient with self-inflicted injuries would be aiding and abetting suicide.The second examines concerns about the patient's decisionmaking capacity. Ultimately, it is argued that while there might be legitimate reasons to hold the advance directive of a suicidal patient to a different standard of scrutiny, the fact that the patient's medical state was self-inflicted should not, in and of itself, necessarily invalidate the guidance of the directive. Finally, four practical recommendations are offered for negotiating similar cases.

  1. [Subjectivity, decision and neurodegenerative diseases: reflexions on the role of the clinical psychologist in medical decision making].

    PubMed

    Brocq, H; Liarte, A; Soriani, M-H; Desnuelle, C

    2013-01-01

    Should a patient be forced to accept a treatment, especially when suffering from a neurodegenerative disease? We argue that physicians, nurses and care givers should instead accept his or her choice in accordance with the principle that every patient is an autonomous person able to make a choice, even in case of declined cognition. Beside the legal obligation, we suggest a theoretical approach and focus on the practical impacts of the patient's decision. Our objective is to promote the value of ethical doubt and attentive listening to individual opinions, so as to improve the quality of the medical staff's work and reduce patients' distress when affected by fatal diseases.

  2. Clinical holistic health: advanced tools for holistic medicine.

    PubMed

    Ventegodt, Søren; Clausen, Birgitte; Nielsen, May Lyck; Merrick, Joav

    2006-02-24

    According to holistic medical theory, the patient will heal when old painful moments, the traumatic events of life that are often called "gestalts", are integrated in the present "now". The advanced holistic physician's expanded toolbox has many different tools to induce this healing, some that are more dangerous and potentially traumatic than others. The more intense the therapeutic technique, the more emotional energy will be released and contained in the session, but the higher also is the risk for the therapist to lose control of the session and lose the patient to his or her own dark side. To avoid harming the patient must be the highest priority in holistic existential therapy, making sufficient education and training an issue of highest importance. The concept of "stepping up" the therapy by using more and more "dramatic" methods to get access to repressed emotions and events has led us to a "therapeutic staircase" with ten steps: (1) establishing the relationship; (2) establishing intimacy, trust, and confidentiality; (3) giving support and holding; (4) taking the patient into the process of physical, emotional, and mental healing; (5) social healing of being in the family; (6) spiritual healing--returning to the abstract wholeness of the soul; (7) healing the informational layer of the body; (8) healing the three fundamental dimensions of existence: love, power, and sexuality in a direct way using, among other techniques, "controlled violence" and "acupressure through the vagina"; (9) mind-expanding and consciousness-transformative techniques like psychotropic drugs; and (10) techniques transgressing the patient's borders and, therefore, often traumatizing (for instance, the use of force against the will of the patient). We believe that the systematic use of the staircase will greatly improve the power and efficiency of holistic medicine for the patient and we invite a broad cooperation in scientifically testing the efficiency of the advanced holistic

  3. Major clinical research advances in gynecologic cancer in 2012.

    PubMed

    Suh, Dong Hoon; Kim, Jae-Weon; Kim, Kidong; Kim, Hak Jae; Lee, Kyung-Hun

    2013-01-01

    Ten topics were chosen among major clinical research achievements in gynecologic oncology in 2012. For ovarian cancer, comprehensive review of the history of bevacizumab studies was followed by poly adenosine diphosphate [ADP]-ribose polymerase (PARP) inhibitors and other molecular targeted agents such as epidermal growth factor receptor tyrosine kinase inhibitor and AMG 386. For the development of genomic study in gynecologic cancers, BRCA and DICER1 mutations were covered in epithelial and nonepithelial ovarian cancer, respectively. For endometrial cancer, targeted agents including mammalian target of rapamycin (mTOR) inhibitors and bevacizumab were discussed. Radiation therapy "sandwiched" between combination chemotherapy schedules for the treatment of uterine papillary serous carcinoma was also reviewed. Preoperative prediction of lymph node metastasis, definition of low-risk group, and recurrence and survival outcomes of laparoscopic approaches were addressed. For cervical cancer, we reviewed long-term benefit of human papillomavirus test and efficacy of paclitaxel/carboplatin versus paclitaxel/cisplatin in stage IVB, persistent or recurrent disease. In addition, the effect of three dimensional image-based high-dose rate brachytherapy was also reviewed. For vulvar cancer, the diagnostic value of sentinel lymph node biopsy was discussed. For breast cancer, positive results of three outstanding phase III randomized clinical trials, CLEOPATRA, EMILIA, and BOLERO-2 were introduced. Lastly, updates of major practice guidelines were summarized.

  4. Major clinical research advances in gynecologic cancer in 2012

    PubMed Central

    Suh, Dong Hoon; Kim, Kidong; Kim, Hak Jae; Lee, Kyung-Hun

    2013-01-01

    Ten topics were chosen among major clinical research achievements in gynecologic oncology in 2012. For ovarian cancer, comprehensive review of the history of bevacizumab studies was followed by poly adenosine diphosphate [ADP]-ribose polymerase (PARP) inhibitors and other molecular targeted agents such as epidermal growth factor receptor tyrosine kinase inhibitor and AMG 386. For the development of genomic study in gynecologic cancers, BRCA and DICER1 mutations were covered in epithelial and nonepithelial ovarian cancer, respectively. For endometrial cancer, targeted agents including mammalian target of rapamycin (mTOR) inhibitors and bevacizumab were discussed. Radiation therapy "sandwiched" between combination chemotherapy schedules for the treatment of uterine papillary serous carcinoma was also reviewed. Preoperative prediction of lymph node metastasis, definition of low-risk group, and recurrence and survival outcomes of laparoscopic approaches were addressed. For cervical cancer, we reviewed long-term benefit of human papillomavirus test and efficacy of paclitaxel/carboplatin versus paclitaxel/cisplatin in stage IVB, persistent or recurrent disease. In addition, the effect of three dimensional image-based high-dose rate brachytherapy was also reviewed. For vulvar cancer, the diagnostic value of sentinel lymph node biopsy was discussed. For breast cancer, positive results of three outstanding phase III randomized clinical trials, CLEOPATRA, EMILIA, and BOLERO-2 were introduced. Lastly, updates of major practice guidelines were summarized. PMID:23346316

  5. Advancing Clostridia to Clinical Trial: Past Lessons and Recent Progress

    PubMed Central

    Mowday, Alexandra M.; Guise, Christopher P.; Ackerley, David F.; Minton, Nigel P.; Lambin, Philippe; Dubois, Ludwig J.; Theys, Jan; Smaill, Jeff B.; Patterson, Adam V.

    2016-01-01

    Most solid cancers contain regions of necrotic tissue. The extent of necrosis is associated with poor survival, most likely because it reflects aggressive tumour outgrowth and inflammation. Intravenously injected spores of anaerobic bacteria from the genus Clostridium infiltrate and selectively germinate in these necrotic regions, providing cancer-specific colonisation. The specificity of this system was first demonstrated over 60 years ago and evidence of colonisation has been confirmed in multiple tumour models. The use of “armed” clostridia, such as in Clostridium Directed Enzyme Prodrug Therapy (CDEPT), may help to overcome some of the described deficiencies of using wild-type clostridia for treatment of cancer, such as tumour regrowth from a well-vascularised outer rim of viable cells. Successful preclinical evaluation of a transferable gene that metabolises both clinical stage positron emission tomography (PET) imaging agents (for whole body vector visualisation) as well as chemotherapy prodrugs (for conditional enhancement of efficacy) would be a valuable early step towards the prospect of “armed” clostridia entering clinical evaluation. The ability to target the immunosuppressive hypoxic tumour microenvironment using CDEPT may offer potential for synergy with recently developed immunotherapy strategies. Ultimately, clostridia may be most efficacious when combined with conventional therapies, such as radiotherapy, that sterilise viable aerobic tumour cells. PMID:27367731

  6. Effect of Focused Bedside Ultrasonography in Hypotensive Patients on the Clinical Decision of Emergency Physicians

    PubMed Central

    Gungor, Faruk; Guven, Ramazan; Akyol, K. Can; Kozaci, Nalan; Kesapli, Mustafa

    2017-01-01

    We assessed the effect of focused point of care ultrasound (POCUS) used for critical nontraumatic hypotensive patients presenting to the emergency department of our hospital on the clinical decisions of the physicians and whether it led to the modification of the treatment modality. This prospective clinical study was conducted at the Emergency Department of Antalya Training and Research Hospital. Nontraumatic patients aged 18 and older who presented to our emergency department and whose systolic blood pressure was <100 mmHg or shock index (heart rate/systolic blood pressure) was >1 were included in the study. While the most probable preliminary diagnosis established by the physician before POCUS was consistent with the definitive diagnosis in 60.6% (n = 109) of 180 patients included in the study, it was consistent with the definitive diagnosis in 85.0% (n = 153) of the patients after POCUS (p < 0.001). POCUS performed for critical hypotensive patients presenting to the emergency department is an appropriate diagnostic tool that can be used to enable the physicians to make the accurate preliminary diagnosis and start the appropriate treatment in a short time. PMID:28357139

  7. Clinical Decision Support Alert Appropriateness: A Review and Proposal for Improvement

    PubMed Central

    McCoy, Allison B.; Thomas, Eric J.; Krousel-Wood, Marie; Sittig, Dean F.

    2014-01-01

    Background Many healthcare providers are adopting clinical decision support (CDS) systems to improve patient safety and meet meaningful use requirements. Computerized alerts that prompt clinicians about drug-allergy, drug-drug, and drug-disease warnings or provide dosing guidance are most commonly implemented. Alert overrides, which occur when clinicians do not follow the guidance presented by the alert, can hinder improved patient outcomes. Methods We present a review of CDS alerts and describe a proposal to develop novel methods for evaluating and improving CDS alerts that builds upon traditional informatics approaches. Our proposal incorporates previously described models for predicting alert overrides that utilize retrospective chart review to determine which alerts are clinically relevant and which overrides are justifiable. Results Despite increasing implementations of CDS alerts, detailed evaluations rarely occur because of the extensive labor involved in manual chart reviews to determine alert and response appropriateness. Further, most studies have solely evaluated alert overrides that are appropriate or justifiable. Our proposal expands the use of web-based monitoring tools with an interactive dashboard for evaluating CDS alert and response appropriateness that incorporates the predictive models. The dashboard provides 2 views, an alert detail view and a patient detail view, to provide a full history of alerts and help put the patient's events in context. Conclusion The proposed research introduces several innovations to address the challenges and gaps in alert evaluations. This research can transform alert evaluation processes across healthcare settings, leading to improved CDS, reduced alert fatigue, and increased patient safety. PMID:24940129

  8. Clinical trials update: Medical management of advanced breast cancer.

    PubMed

    Major, Maureen A

    2003-12-01

    Selection of treatment for metastatic breast cancer depends on several factors: the status of estrogen receptors or progesterone receptors on breast cancer cells and the expression levels of human epidermal growth factor receptor-2. The presence of estrogen or progesterone receptors typically indicates slower-growing tumors that may be amenable to hormonal manipulation, which provides significant disease control while offering a better toxicity profile than conventional chemotherapy. The understanding of hormonal therapies in patients with postmenopausal metastatic breast cancer has advanced greatly in the past several decades. Aromatase inhibitors, although used initially as second-line therapy, recently have proved to be as effective as tamoxifen, if not superior to it, as first-line therapy for metastatic breast cancer. New data also suggest that letrozole provides significantly better objective responses than anastrozole as second-line therapy. Exemestane, a steroidal aromatase inhibitor, is an effective third-line therapy. Fulvestrant, an estrogen receptor antagonist with no known agonist effect, provides a new option for hormonal therapy. For patients with metastatic breast cancer and overexpression of human epidermal growth factor receptor-2 on tumor cells, the monoclonal antibody trastuzumab is the preferred option, either in combination with paclitaxel as first-line treatment, or as a single agent for second-line therapy. By extending the sequence of hormonal therapy, disease progression and the need for chemotherapy may be significantly delayed, potentially extending patient survival rates and improving quality of life.

  9. Usability of Selected Databases for Low-Resource Clinical Decision Support

    PubMed Central

    Sheets, L; Callaghan, F.; Gavino, A.; Liu, F.; Fontelo, P.

    2012-01-01

    Background Smartphones are increasingly important for clinical decision support, but smartphone and Internet use are limited by cost or coverage in many settings. txt2MEDLINE provides access to published medical evidence by text messaging. Previous studies have evaluated this approach, but we found no comparisons with other tools in this format. Objectives To compare txt2MEDLINE with other databases for answering clinical queries by text messaging in low-resource settings. Methods Using varied formats, we searched txt2MEDLINE and five other search portals (askMEDLINE, Cochrane, DynaMed, PubMed PICO, and UpToDate) to develop optimal strategies for each. We then searched each database again with five benchmark queries, using the customized search-optimization formats. We truncated the results to less than 480 characters each to simulate delivering them to a maximum of three text messages. Clinicians with practice experience in low-resource areas scored the results on a 5-point Likert scale. Results Median scores and standard deviations from 17 reviewers were: txt2M2MEDLINE, 3.2±0.82 (control); askMEDLINE, 3.2±0.90 (p = 0.918); Cochrane, 3.8±0.58 (p = 0.073); DynaMed, 3.6±0.65 (p = 0.105); PubMed PICO, 3.6±0.82 (p = 0.005); and UpToDate, 4.0±0.52 (p = 0.002). Our sample size was sufficiently powered to find differences of 1.0 point. Conclusions Comparing several possible sources for texting-based clinical-decision-support information, our results did not demonstrate one-point differences in usefulness on a scale of 1 to 5. PubMed PICO and UpToDate were significantly better than txt2MEDLINE, but with relatively small improvements in Likert score (0.4 and 0.8, respectively). In a texting-only setting, txt2MEDLINE is comparable to simulated alternatives based on established reference sources. PMID:23646080

  10. Recent Advances in the Clinical Management of Lead Poisoning.

    PubMed

    Kianoush, Sina; Sadeghi, Mahmood; Balali-Mood, Mahdi

    2015-01-01

    Lead poisoning is a historic universal disease. Acute or chronic lead exposure may cause reversible or even permanent damages in human beings. Environmental lead exposure is a global health concern in children. Occupational lead poisoning is still a health issue, particularly in developing countries. During the last decades, new methods and medications have been advocated for the prevention and treatment of lead poisoning. This review deals mainly with recent developments in the management of lead poisoning. Sources of lead exposure are introduced, and methods for the primary prevention of lead poisoning are discussed. Details for the screening of adults and children are also explained to serve as a practical guideline for the secondary prevention. Standard chelation therapy in different groups and up-to-date less toxic new medications for the treatment of lead poisoning are finally discussed. Our published clinical research on the therapeutic effects of garlic tablets in mild to moderate occupational lead poisoning will also be discussed.

  11. Recent Advances in Clinical Glycoproteomics of Immunoglobulins (Igs)*

    PubMed Central

    Plomp, Rosina; Bondt, Albert; de Haan, Noortje; Rombouts, Yoann; Wuhrer, Manfred

    2016-01-01

    Antibody glycosylation analysis has seen methodological progress resulting in new findings with regard to antibody glycan structure and function in recent years. For example, antigen-specific IgG glycosylation analysis is now applicable for clinical samples because of the increased sensitivity of measurements, and this has led to new insights in the relationship between IgG glycosylation and various diseases. Furthermore, many new methods have been developed for the purification and analysis of IgG Fc glycopeptides, notably multiple reaction monitoring for high-throughput quantitative glycosylation analysis. In addition, new protocols for IgG Fab glycosylation analysis were established revealing autoimmune disease-associated changes. Functional analysis has shown that glycosylation of IgA and IgE is involved in transport across the intestinal epithelium and receptor binding, respectively. PMID:27009965

  12. Nausea and vomiting in advanced cancer: the Cleveland Clinic protocol.

    PubMed

    Gupta, Mona; Davis, Mellar; LeGrand, Susan; Walsh, Declan; Lagman, Ruth

    2013-03-01

    Nausea and vomiting are common and distressing symptoms in advanced cancer. Both are multifactorial and cause significant morbidity, nutritional failure, and reduced quality of life. Assessment includes a detailed history, physical examination and investigations for reversible causes. Assessment and management will be influenced by performance status, prognosis, and goals of care. Several drug classes are effective with some having the added benefit of multiple routes of administration. It is our institution's practice to recommend metoclopramide as the first drug with haloperidol as an alternative antiemetic. Dexamethasone should be used for patients with central nervous system metastases or bowel obstruction. If your patient is near death, empiric metoclopramide, haloperidol or chlorpromazine is used without further investigation. For patients with a better prognosis, we exclude reversible causes and use the same first-line antiemetics, metoclopramide and haloperidol. For those who do not respond to first-line single antiemetics, olanzapine is second line and ondansetron is third. Rarely do we use combination therapy or cannabinoids. Olanzapine as a single agent has a distinct advantage over antiemetic combinations. It improves compliance, reduces drug interactions and has several routes of administration. Antiemetics, anticholinergics, octreotide and dexamethasone are used in combination to treat bowel obstruction. In opiod-na'ive patients, we prefer haloperidol, glycopyrrolate and an opioid as the first-line treatment and add or substitute octreotide and dexamethasone in those who do not respond. Non-pharmacologic interventions (mechanical stents and percutaneous endoscopic gastrostomy tubes) are used when nausea is refractory to medical management or for home-going management to relieve symptoms, reduce drug costs and rehospitalization.

  13. Clinical Decision-Making Following Disasters: Efficient Identification of PTSD Risk in Adolescents.

    PubMed

    Danielson, Carla Kmett; Cohen, Joseph R; Adams, Zachary W; Youngstrom, Eric A; Soltis, Kathryn; Amstadter, Ananda B; Ruggiero, Kenneth J

    2017-01-01

    The present study aimed to utilize a Receiver Operating Characteristic (ROC) approach in order to improve clinical decision-making for adolescents at risk for the development of psychopathology in the aftermath of a natural disaster. Specifically we assessed theoretically-driven individual, interpersonal, and event-related vulnerability factors to determine which indices were most accurate in forecasting PTSD. Furthermore, we aimed to translate these etiological findings by identifying clinical cut-off recommendations for relevant vulnerability factors. Our study consisted of structured phone-based clinical interviews with 2000 adolescent-parent dyads living within a 5-mile radius of tornados that devastated Joplin, MO, and northern Alabama in Spring 2011. Demographics, tornado incident characteristics, prior trauma, mental health, and family support and conflict were assessed. A subset of youth completed two behavioral assessment tasks online to assess distress tolerance and risk-taking behavior. ROC analyses indicated four variables that significantly improved PTSD diagnostic efficiency: Lifetime depression (AUC = .90), trauma history (AUC = .76), social support (AUC = .70), and family conflict (AUC = .72). Youth were 2-3 times more likely to have PTSD if they had elevated scores on any of these variables. Of note, event-related characteristics (e.g., property damage) were not related to PTSD diagnostic status. The present study adds to the literature by making specific recommendations for empirically-based, efficient disaster-related PTSD assessment for adolescents following a natural disaster. Implications for practice and future trauma-related developmental psychopathology research are discussed.

  14. Formative assessment and design of a complex clinical decision support tool for pulmonary embolism.

    PubMed

    Khan, Sundas; McCullagh, Lauren; Press, Anne; Kharche, Manish; Schachter, Andy; Pardo, Salvatore; McGinn, Thomas

    2016-02-01

    Electronic health record (EHR)-based clinical decision support (CDS) tools are rolled out with the urgency to meet federal requirements without time for usability testing and refinement of the user interface. As part of a larger project to design, develop and integrate a pulmonary embolism CDS tool for emergency physicians, we conducted a formative assessment to determine providers' level of interest and input on designs and content. This was a study to conduct a formative assessment of emergency medicine (EM) physicians that included focus groups and key informant interviews. The focus of this study was twofold, to determine the general attitude towards CDS tool integration and the ideal integration point into the clinical workflow. To accomplish this, we first approached EM physicians in a focus group, then, during key informant interviews, we presented workflow designs and gave a scenario to help the providers visualise how the CDS tool works. Participants were asked questions regarding the trigger location, trigger words, integration into their workflow, perceived utility and heuristic of the tool. Results from the participants' survey responses to trigger location, perceived utility and efficiency, indicated that the providers felt the tool would be more of a hindrance than an aid. However, some providers commented that they had not had exposure to CDS tools but had used online calculators, and thought the tools would be helpful at the point-of-care if integrated into the EHR. Furthermore, there was a preference for an order entry wireframe. This study highlights several factors to consider when designing CDS tools: (1) formative assessment of EHR functionality and clinical environment workflow, (2) focus groups and key informative interviews to incorporate providers' perceptions of CDS and workflow integration and/or (3) the demonstration of proposed workflows through wireframes to help providers visualise design concepts.

  15. Development and use of active clinical decision support for preemptive pharmacogenomics

    PubMed Central

    Bell, Gillian C; Crews, Kristine R; Wilkinson, Mark R; Haidar, Cyrine E; Hicks, J Kevin; Baker, Donald K; Kornegay, Nancy M; Yang, Wenjian; Cross, Shane J; Howard, Scott C; Freimuth, Robert R; Evans, William E; Broeckel, Ulrich; Relling, Mary V; Hoffman, James M

    2014-01-01

    Background Active clinical decision support (CDS) delivered through an electronic health record (EHR) facilitates gene-based drug prescribing and other applications of genomics to patient care. Objective We describe the development, implementation, and evaluation of active CDS for multiple pharmacogenetic test results reported preemptively. Materials and methods Clinical pharmacogenetic test results accompanied by clinical interpretations are placed into the patient's EHR, typically before a relevant drug is prescribed. Problem list entries created for high-risk phenotypes provide an unambiguous trigger for delivery of post-test alerts to clinicians when high-risk drugs are prescribed. In addition, pre-test alerts are issued if a very-high risk medication is prescribed (eg, a thiopurine), prior to the appropriate pharmacogenetic test result being entered into the EHR. Our CDS can be readily modified to incorporate new genes or high-risk drugs as they emerge. Results Through November 2012, 35 customized pharmacogenetic rules have been implemented, including rules for TPMT with azathioprine, thioguanine, and mercaptopurine, and for CYP2D6 with codeine, tramadol, amitriptyline, fluoxetine, and paroxetine. Between May 2011 and November 2012, the pre-test alerts were electronically issued 1106 times (76 for thiopurines and 1030 for drugs metabolized by CYP2D6), and the post-test alerts were issued 1552 times (1521 for TPMT and 31 for CYP2D6). Analysis of alert outcomes revealed that the interruptive CDS appropriately guided prescribing in 95% of patients for whom they were issued. Conclusions Our experience illustrates the feasibility of developing computational systems that provide clinicians with actionable alerts for gene-based drug prescribing at the point of care. PMID:23978487

  16. Student specialty plans, clinical decision-making, and health care reform

    PubMed Central

    Williams, Robert L.; Romney, Crystal; Kano, Miria; Wright, Randy; Skipper, Betty; Getrich, Christina; Sussman, Andrew L.; Zyzanski, Stephen J.

    2014-01-01

    Background and objectives Health care reform aims to increase evidence based, cost-conscious, and patient-centered care. Family medicine is seen as central to these aims in part due to evidence of lower cost, comparable quality care compared with other specialties. We sought evidence that senior medical students planning family medicine residency differ from peers entering other fields in decision-making patterns relevant to these health care reform aims. Methods We conducted a national, anonymous, internet-based survey of senior medical students. Students chose one of two equivalent management options for a set of patient vignettes based on preventive care, medication selection or initial chronic disease management scenarios, representing in turn, evidence-based care, cost-conscious care, and patient-centered care. We examined differences in student recommendations, comparing those planning to enter family medicine with all others using bivariate and weighted, multilevel, multivariable analyses. Results Among 4,656 surveys received from seniors at 84 participating medical schools, students entering family medicine were significantly more likely to recommend patient management options that were more cost-conscious (p=.01) and more patient-centered (p<.001). We did not find a significant difference between the student groups in recommendations for evidence-based care vignettes. Conclusions This study provides preliminary evidence suggesting that students planning to enter family practice may already have clinical decision-making patterns that support health care reform goals to a greater extent than their peers. If confirmed by additional studies, this could have implications for medical school admission and training processes. PMID:24915476

  17. Vision 20/20: Automation and advanced computing in clinical radiation oncology

    SciTech Connect

    Moore, Kevin L. Moiseenko, Vitali; Kagadis, George C.; McNutt, Todd R.; Mutic, Sasa

    2014-01-15

    This Vision 20/20 paper considers what computational advances are likely to be implemented in clinical radiation oncology in the coming years and how the adoption of these changes might alter the practice of radiotherapy. Four main areas of likely advancement are explored: cloud computing, aggregate data analyses, parallel computation, and automation. As these developments promise both new opportunities and new risks to clinicians and patients alike, the potential benefits are weighed against the hazards associated with each advance, with special considerations regarding patient safety under new computational platforms and methodologies. While the concerns of patient safety are legitimate, the authors contend that progress toward next-generation clinical informatics systems will bring about extremely valuable developments in quality improvement initiatives, clinical efficiency, outcomes analyses, data sharing, and adaptive radiotherapy.

  18. Clinical cancer advances 2006: major research advances in cancer treatment, prevention, and screening--a report from the American Society of Clinical Oncology.

    PubMed

    Ozols, Robert F; Herbst, Roy S; Colson, Yolonda L; Gralow, Julie; Bonner, James; Curran, Walter J; Eisenberg, Burton L; Ganz, Patricia A; Kramer, Barnett S; Kris, Mark G; Markman, Maurie; Mayer, Robert J; Raghavan, Derek; Reaman, Gregory H; Sawaya, Raymond; Schilsky, Richard L; Schuchter, Lynn M; Sweetenham, John W; Vahdat, Linda T; Winn, Rodger J

    2007-01-01

    A MESSAGE FROM ASCO's PRESIDENT For the second consecutive year, the American Society of Clinical Oncology (ASCO) is publishing Clinical Cancer Advances: Major Research Advances in Cancer Treatment, Prevention, and Screening, an annual review of the most significant cancer research presented or published over the past year. ASCO developed this report to demonstrate the enormous progress being made on the front lines of cancer research today. The report is intended to give all those with an interest in cancer care-the general public, cancer patients and physicians, policymakers, oncologists, and other medical professionals-an accessible summary of the year's most important cancer research advances. These pages report on new targeted therapies that are improving survival and response rates in hard-to-treat cancers such as kidney cancer, HER-2-positive breast cancer, head and neck cancer, and chronic myelogenous leukemia; the FDA's approval of the world's first preventive vaccine for human papillomavirus (HPV), which has the potential to dramatically reduce the global burden of cervical cancer; and advances in the fast-growing field of personalized medicine, including a new lung cancer test that could help physicians better target treatments and predict prognosis. These advances are only part of the landscape. Survival rates are on the rise, the number of cancer deaths in the United States began declining for the first time since 1930, and new research is showing that the rates of certain common cancers, such as those of the breast and colon, have stabilized, and may have even begun to decline. However, cancer research still faces a number of major obstacles. At a time of extraordinary scientific potential, declining federal funding of cancer research threatens to stall or even reverse recent progress. Such funding cuts have already led to fewer clinical trials, fewer talented young physicians entering the field, and a growing bottleneck of basic science discoveries

  19. Studying Readiness for Clinical Decision Support for Worker Health Using the Rapid Assessment Process and Mixed Methods Interviews

    PubMed Central

    Ash, Joan S.; Chase, Dian; Wiesen, Jane F.; Murphy, Elizabeth V.; Marovich, Stacey

    2016-01-01

    To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design. PMID:28269822

  20. Studying Readiness for Clinical Decision Support for Worker Health Using the Rapid Assessment Process and Mixed Methods Interviews.

    PubMed

    Ash, Joan S; Chase, Dian; Wiesen, Jane F; Murphy, Elizabeth V; Marovich, Stacey

    2016-01-01

    To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design.

  1. Pharmacogenetics Informed Decision Making in Adolescent Psychiatric Treatment: A Clinical Case Report

    PubMed Central

    Smith, Teri; Sharp, Susan; Manzardo, Ann M.; Butler, Merlin G.

    2015-01-01

    Advances made in genetic testing and tools applied to pharmacogenetics are increasingly being used to inform clinicians in fields such as oncology, hematology, diabetes (endocrinology), cardiology and expanding into psychiatry by examining the influences of genetics on drug efficacy and metabolism. We present a clinical case example of an adolescent male with anxiety, attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder who did not tolerate numerous medications and dosages over several years in attempts to manage his symptoms. Pharmacogenetics testing was performed and DNA results on this individual elucidated the potential pitfalls in medication use because of specific pharmacodynamic and pharmacokinetic differences specifically involving polymorphisms of genes in the cytochrome p450 enzyme system. Future studies and reports are needed to further illustrate and determine the type of individualized medicine approach required to treat individuals based on their specific gene patterns. Growing evidence supports this biological approach for standard of care in psychiatry. PMID:25710722

  2. [Clinical competence certification for advanced heart failure: an emerging need also in Italy?].

    PubMed

    Marini, Marco; Pini, Daniela; Russo, Giulia; Milli, Massimo; De Maria, Renata; Di Tano, Giuseppe; Aspromonte, Nadia

    2015-02-01

    Advanced heart failure (HF) is a deadly condition. Fortunately, an increasing array of effective (but often expensive) therapies has become available. The management of patients with advanced HF is complex and requires a high level of expertise. The American Board of Internal Medicine was the first regulatory board to recognize the need for a subspecialty in Advanced HF and Transplant Cardiology. More recently, the HF Association of the European Society of Cardiology has proposed a curriculum for HF specialists that includes the optional module of advanced HF therapy. However, the successful completion of such a curriculum does not result in a European Certification in Heart Failure, because no European Board of Medicine does exist. While in some European countries the secondary specialty of HF has been implemented, no country has a subspecialty in advanced HF. The ANMCO HF Area has proposed a survey to 25 Italian centers with accredited programs for heart transplant or ventricular assist device implant as destination therapy with the aim to assess the actual need of a certification of clinical competence in advanced HF and a certification of institutional competence for the centers with the highest expertise in advanced HF management. The survey indicated that there is a perceived need. A first step towards education of advanced HF specialists could be the implementation of CME courses by Scientific Societies. As regards certification of institutional competence for the centers with the highest expertise in advanced HF management, the government appears to be the only entity that can grant it.

  3. Multimedia decision support intervention: A promising approach to enhance the intention to complete an advance directive among hospitalized adults

    PubMed Central

    Hickman, Ronald L.; Lipson, Amy R.; Pinto, Melissa D.; Pignatiello, Grant

    2013-01-01

    Purpose This study examined the acceptability and initial efficacy of a multimedia decision support (MDS) intervention to improve intention to complete an advanced directive (AD) among hospitalized adults following an episode of critical illness. Data sources This study used comparative quasi-experimental post-test only design. Forty-nine hospitalized adults, recovering from a critical illness, received either MDS or AD educational brochure. Demographic characteristics and self-report measures of AD knowledge were captured at baseline and used as covariates. Helpfulness of the intervention (acceptability) and the outcome variable, intention to complete an AD decision, were assessed after exposure to the MDS intervention or educational brochure (information-only control condition). Conclusions The MDS was a more acceptable form of education compared to a brochure. After adjusting for covariates, participants exposed to the MDS intervention were 24.7 times more likely to intend to complete an AD compared to those who were assigned to the information-only control condition. Implications for practice This pilot study establishes the acceptability and initial efficacy of the MDS intervention among individuals with critical illness, who are at high risk for hospital readmission life-sustaining treatment. This study illuminates a teachable moment in which patients are more receptive to interventions to complete an AD. PMID:24170705

  4. Cardiac Channelopathies and Sudden Death: Recent Clinical and Genetic Advances

    PubMed Central

    Fernández-Falgueras, Anna; Sarquella-Brugada, Georgia; Brugada, Josep; Brugada, Ramon; Campuzano, Oscar

    2017-01-01

    Sudden cardiac death poses a unique challenge to clinicians because it may be the only symptom of an inherited heart condition. Indeed, inherited heart diseases can cause sudden cardiac death in older and younger individuals. Two groups of familial diseases are responsible for sudden cardiac death: cardiomyopathies (mainly hypertrophic cardiomyopathy, dilated cardiomyopathy, and arrhythmogenic cardiomyopathy) and channelopathies (mainly long QT syndrome, Brugada syndrome, short QT syndrome, and catecholaminergic polymorphic ventricular tachycardia). This review focuses on cardiac channelopathies, which are characterized by lethal arrhythmias in the structurally normal heart, incomplete penetrance, and variable expressivity. Arrhythmias in these diseases result from pathogenic variants in genes encoding cardiac ion channels or associated proteins. Due to a lack of gross structural changes in the heart, channelopathies are often considered as potential causes of death in otherwise unexplained forensic autopsies. The asymptomatic nature of channelopathies is cause for concern in family members who may be carrying genetic risk factors, making the identification of these genetic factors of significant clinical importance. PMID:28146053

  5. Advances in basic and clinical immunology in 2010.

    PubMed

    Chinen, Javier; Shearer, William T

    2011-02-01

    Reports in basic and clinical immunology in 2010 reflected the use of state-of-the-art genetic and immunologic tools to characterize the pathogenesis of immunologic diseases and the development of novel therapies directed to these conditions. B-cell biology has been explained in greater detail, significantly with lessons from the genetic defects found in the humoral immunodeficiencies. Therapeutic mAbs are given for an increasing number of indications, such as anti-CD20 antibodies or rituximab, which was initially developed for non-Hodgkin lymphomas and is currently used in diverse autoimmune and inflammatory disorders. The report of an infant with severe combined immunodeficiency (SCID) in Massachusetts detected by means of newborn screening and successfully treated with hematopoietic stem cell transplantation validated recent efforts toward newborn screening for SCID. Improvement of survival outcomes for patients with primary immunodeficiencies treated with hematopoietic stem cell transplantation was demonstrated in a large European cohort, with significant appreciation of the type of donor graft, particularly the use of HLA-matched unrelated donors for patients with non-SCID. Progress in cellular mechanisms of drug hypersensitivity included the characterization of nitroso-modified drug metabolites as potent T-cell activators and the identification of the relocation of plasmacytoid dendritic cells from blood to skin as a potential risk factor for reactivation of viral disease.

  6. Clinical report of the treatment of locally advanced lung cancer.

    PubMed

    Petrovich, Z; Mietlowski, W; Ohanian, M; Cox, J

    1977-07-01

    This paper discusses the results of the treatment of 345 patients entered in the Veterans Administration Lung Group Protocol 13L. The study was activated March 1972, and closed for the patient accesion March 1975. All patients had a histological diagnosis of primary lung cancer considered clinically non-resectable or inoperable. Patients were equally randomized into two groups, radiotherapy alone or radiotherapy with chemotherapy. The analysis of the data included: treatment regimen, radiation dose, initial performance status, performance status change, cell type, duration of survival, quality of survival and age. The strongest influence on median survival was the level of radiation dose. The small cell carcinoma patients treated with radiotherapy and chemotherapy showed significant improvement in the median survival (38.2 weeks) over the patients treated with radiotherapy alone (20.6 weeks). The patients treated with radiotherapy and chemotherapy also showed improvement in performance status more frequently than the patients treated with radiotherapy alone. Other parameters of the analysis will be presented.

  7. Advances in basic and clinical immunology in 2006.

    PubMed

    Chinen, Javier; Shearer, William T

    2007-08-01

    This article reviews the progress in the field of basic and clinical immunology in 2006, focusing on the articles published in the Journal. The role of Toll-like receptors in the immune response was explored in detail in several articles. The knowledge gained in these investigations is being used to develop strategies that enhance the immunogenicity of vaccines to prevent infectious diseases and to have an immunomodulatory effect on allergic diseases. Other components of the innate immunity reported on were the recognition of allergens with lipid-derived motifs by CD1d-restricted T cells and the role of dendritic cells in the development of an allergic response. More than 120 primary immunodeficiencies were defined at a molecular level, and biological agents such as TNF-alpha antagonists and IFN-alpha were shown to have therapeutic use. New anti-HIV drugs that block cell entry were proven to be effective, thus offering alternative therapies to respond to the development of multidrug-resistant HIV strains. The modern understanding of immunologic concepts is helping to elucidate the mechanisms of defense against viruses, bacteria, and parasites; as a result, strategies to improve management and prevention continue to emerge.

  8. The influence of the law on clinical decisions affecting life and death.

    PubMed

    Havard, J D

    1983-07-01

    The purpose of this lecture is to review the justification for legal interference in physicians' clinical decisions and the consequences of that interference to patients. Discussion covers contraception, abortion, negligence, and defensive medicine. Contraception is normally interpreted as the prevention or inhibition of fertilization or of implantation of the fertilized ovum in the uterus. The extra corporeal or in vitro fertilization program has raised the question of the legal and ethical status of the fertilized ovum before implantation. This is turn has raised questions about contraceptive devices or procedures whose purpose it is to prevent the implantation of a fertilized ovum, of which the IUd is the most common in use in the UK. Congressman Doonan of California moved to amend the US Constitution to provide that "life begins when a sperm cell fertilizes an egg." It may be assumed that this amendment is designed to prevent unacceptable experiments on spare embryos, but the consequences to family planning could be enormous unless some exception is included in favor of IUDs inserted for purposes of contraception. This leads to the issue of abortion and a reminder that until the 19th century it was not regarded as a crime in English common law to abort a fetus before "quickening" had occurred, as this was the point at which the embryo was regarded as having been animated. The Offenses Against the Person Act of 1861 established the current criminal offense of induced abortion to which the Abortion Act of 1967 now provides a defense. Recent developments in life support mechanisms have created difficulties over the extent to which such measures should be employed in the management of children born with life threatening abnormalities. A draft bill has been introduced requiring doctors to take all possible steps to feed defective neonates with life threatening abnormalities who are experiencing serious feeding problems. This means that these infants would have to be

  9. Clinical and radiographic evaluation of maxillary central incisors exposure in patients undergoing maxillary advancement

    PubMed Central

    Trento, Guilherme dos Santos; Bernabé, Felipe Bueno Rosettti; da Costa, Delson João; Rebellato, Nelson Luis Barbosa; Klüppel, Leandro Eduardo; Scariot, Rafaela

    2015-01-01

    Abstract Introduction: Patients with dentofacial deformities may undergo orthodontic or orthodontic-surgical treatment. Both modalities can affect esthetics. Objective: This study aims to evaluate clinical and radiographic changes in exposure of maxillary central incisors occurring after orthognathic surgery for maxillary advancement. Methods: A total of 17 patients who underwent orthognathic surgery for maxillary advancement between September, 2010 and July, 2011 were selected. Exposure of maxillary central incisors was evaluated clinically and by lateral cephalograms. Measurements were taken one week before and three months after surgery. Data were paired in terms of sex, age, nasolabial angle, height and thickness of the upper lip, the amount of maxillary advancement, clinical exposure and inclination of maxillary central incisor by statistical tests (CI 95%). Results: After maxillary advancement, incisor clinical exposure had increased even with relaxed lips and under forced smile. Moreover, there was a mean increase of 23.33% revealed by lateral cephalograms. There was an inverse correlation between upper lip thickness and incisors postsurgical exposure revealed by radiographic images (p = 0.002). Conclusions: Significant changes in the exposure of maxillary central incisors occur after maxillary advancement, under the influence of some factors, especially lip thickness. PMID:26691970

  10. Design, Implementation, Use, and Preliminary Evaluation of an UMLS-Enabled Terminology Web Service for Clinical Decision Support

    PubMed Central

    Kawamoto, Kensaku; Lobach, David F.

    2006-01-01

    To facilitate the provision of clinical decision support (CDS), the Unified Medical Language System (UMLS) was leveraged to implement a terminology Web service. Supported functions include inter-vocabulary translation and the identification of concepts subsumed by a parent concept. Currently, the service is being used to aid the specification of clinical concepts within CDS knowledge modules. Insights gained from this process are discussed, including the limitations of using the UMLS to fulfill CDS terminology needs. PMID:17238598

  11. BRIDGING FROM CLINICAL ENDPOINTS TO ESTIMATES OF TREATMENT VALUE FOR EXTERNAL DECISION MAKERS

    PubMed Central

    ZHU, C.W.; LEIBMAN, C.; TOWNSEND, R.; MCLAUGHLIN, T.; SCARMEAS, N.; ALBERT, M.; BRANDT, J.; BLACKER, D.; SANO, M.; STERN, Y.

    2009-01-01

    Aim While clinical endpoints provide important information on the efficacy of treatment in controlled conditions, they often are not relevant to decision makers trying to gauge the potential economic impact or value of new treatments. Therefore, it is often necessary to translate changes in cognition, function or behavior into changes in cost or other measures, which can be problematic if not conducted in a transparent manner. The Dependence Scale (DS), which measures the level of assistance a patient requires due to AD-related deficits, may provide a useful measure of the impact of AD progression in a way that is relevant to patients, providers and payers, by linking clinical endpoints to estimates of cost effectiveness or value. The aim of this analysis was to test the association of the DS to clinical endpoints and AD-related costs. Method The relationship between DS score and other endpoints was explored using the Predictors Study, a large, multi-center cohort of patients with probable AD followed annually for four years. Enrollment required a modified Mini-Mental State Examination (mMMS) score ≥30, equivalent to a score of approximately ≥16 on the MMSE. DS summated scores (range: 0–15) were compared to measures of cognition (MMSE), function (Blessed Dementia Rating Scale, BDRS, 0–17), behavior, extrapyramidal symptoms (EPS), and psychotic symptoms (illusions, delusions or hallucinations). Also, estimates for total cost (sum of direct medical cost, direct non-medical cost, and cost of informal caregivers’ time) were compared to DS scores. Results For the 172 patients in the analysis, mean baseline scores were: DS: 5.2 (SD: 2.0), MMSE: 23.0 (SD: 3.5), BDRS: 2.9 (SD: 1.3), EPS: 10.8%, behavior: 28.9% psychotic symptoms: 21.1%. After 4 years, mean scores were: DS: 8.9 (SD: 2.9), MMSE: 17.2 (SD: 4.7), BDRS: 5.2 (SD: 1.4), EPS: 37.5%, behavior: 60.0%, psychotic symptoms: 46.7%. At baseline, DS scores were significantly correlated with MMSE (r=−0.299, p<0

  12. The role of dynamic renal scintigraphy on clinical decision making in hydronephrotic children.

    PubMed

    Çamlar, Seçil Arslansoyu; Deveci, Nazlı; Soylu, Alper; Türkmen, Mehmet Atilla; Özmen, Derya; Çapakaya, Gamze; Kavukçu, Salih

    2017-01-01

    Hydronephrosis may be related to an obstructive cause, ureteropelvic/uretero-vesical junction obstruction or nonobstructive [vesicoureteral reflux (VUR)]. When an obstructive pathology is considered, dynamic renal scintigraphy may help to predict whether it is a true obstruction or not. In this study, we aimed to determine the contribution of dynamic renal scintigraphy with [99] mTc-MAG-3 to the clinical decision-making for surgery in hydronephrotic children. Files of the patients evaluated by MAG-3 scintigraphy for antenatal (AH)/postnatal (PH) hydronephrosis between 1992 and 2014 were reviewed. Gender, age, hydronephrosis (HN) grade by ultrasound (US), presence of VUR, MAG-3 result (obstructive vs. nonobstructive), ultimate diagnosis, and need for surgery were assessed. Cases with double collecting system and neurogenic bladder were excluded from the study. All of the patients had normal serum creatinine and eGFR. There were a total of 178 patients with 218 hydronephrotic renal units (mean age 34.7 ± 52.7 months; male/ female = 121/57, AH of 62%). MAG-3 was nonobstructive in 134 and obstructive in 84 hydronephrotic renal units. MAG-3 was obstructive in 47 of 121 (39%) males and 30 of 57 (53%) females (P = 0.058, odds ratio (OR) for obstruction was 1.9 for girls). MAG-3 was obstructive in 47 of 135 (35%) units with AH and 37 of 83 (45%) units with PH (P = 0.137). In 81 units with the society of fetal urology-4 HN by US, MAG-3 was obstructive in 55 (68%), and surgery was required in 52 of 55 (95%). Surgery was required for only two (7%) of the remaining 26 units with nonobstructive dilatation (P <0.001, sensitivity 96%, specificity 89%, OR 208). Antero-posterior diameter >16.5 mm was the best cutoff level for predicting obstruction by MAG-3 (sensitivity 75.2%; specificity 71%; OR 3.8). MAG-3 significantly affects clinical decision for surgery in HN. Hydronephrotic girls have more risk in terms of true obstruction. Combining MAG-3 with US improves the

  13. Clinical impact of extensive molecular profiling in advanced cancer patients.

    PubMed

    Cousin, Sophie; Grellety, Thomas; Toulmonde, Maud; Auzanneau, Céline; Khalifa, Emmanuel; Laizet, Yec'han; Tran, Kevin; Le Moulec, Sylvestre; Floquet, Anne; Garbay, Delphine; Robert, Jacques; Hostein, Isabelle; Soubeyran, Isabelle; Italiano, Antoine

    2017-02-08

    Previous precision medicine studies have investigated conventional molecular techniques and/or limited sets of gene alterations. The aim of this study was to describe the impact of the next-generation sequencing of the largest panel of genes used to date in tumour tissue and blood in the context of institutional molecular screening programmes. DNA analysis was performed by next-generation sequencing using a panel of 426 cancer-related genes and by comparative genomic hybridization from formalin-fixed and paraffin-embedded archived tumour samples when available or from fresh tumour samples. Five hundred sixty-eight patients were enrolled. The median number of prior lines of treatment was 2 (range 0-9). The most common primary tumour types were lung (16.9%), colorectal (14.4%), breast (10.6%), ovarian (10.2%) and sarcoma (10.2%). The median patient age was 63 years (range 19-88). A total of 292 patients (51.4%) presented with at least one actionable genetic alteration. The 20 genes most frequently altered were TP53, CDKN2A, KRAS, PTEN, PI3KCA, RB1, APC, ERBB2, MYC, EGFR, CDKN2B, ARID1A, SMAD4, FGFR1, MDM2, BRAF, ATM, CCNE1, FGFR3 and FRS2. One hundred fifty-nine patients (28%) were included in early phase trials. The treatment was matched with a tumour profile in 86 cases (15%). The two main reasons for non-inclusion were non-progressive disease (31.5%) and general status deterioration (25%). Twenty-eight percent of patients presented with a growth modulation index (time to progression under the early phase trial treatment/time to progression of the previous line of treatment) >1.3.Extensive molecular profiling using high-throughput techniques allows for the identification of actionable mutations in the majority of cases and is associated with substantial clinical benefit in up to one in four patients.

  14. Advances in basic and clinical immunology in 2014.

    PubMed

    Chinen, Javier; Notarangelo, Luigi D; Shearer, William T

    2015-05-01

    Genetic identification of immunodeficiency syndromes has become more efficient with the availability of whole-exome sequencing, expediting the identification of relevant genes and complementing traditional linkage analysis and homozygosity mapping. New genes defects causing immunodeficiency include phophoglucomutase 3 (PGM3), cytidine 5' triphosphate synthase 1 (CTPS1), nuclear factor κB-inducing kinase (NIK), cytotoxic T lymphocyte-associated antigen 4 (CTLA4), B-cell chronic lymphocytic leukemia/lymphoma 10 (BCL10), phosphoinositide-3 kinase regulatory subunit 1 (PIK3R1), IL21, and Jagunal homolog 1 (JAGN1). New case reports expanded the clinical spectrum of gene defects. For example, a specific recombination-activating gene 1 variant protein with partial recombinant activity might produce Omenn syndrome or a common variable immunodeficiency phenotype. Central and peripheral B-cell tolerance was investigated in patients with several primary immunodeficiencies, including common variable immunodeficiency and Wiskott-Aldrich syndrome, to explain the occurrence of autoimmunity and inflammatory disorders. The role of IL-12 and IL-15 in the enhancement of natural killer cell activity was reported. Newborn screening for T-cell deficiency is being implemented in more states and is achieving its goal of defining the true incidence of severe combined immunodeficiency and providing early treatment that offers the highest survival for these patients. Definitive treatment of severe immunodeficiency with both hematopoietic stem cell transplantation and gene therapy was reported to be successful, with increasing definition of conditions needed for optimal outcomes. Progress in HIV infection is directed toward the development of an effective vaccine and the eradication of hidden latent virus reservoirs.

  15. An Automated System for Generating Situation-Specific Decision Support in Clinical Order Entry from Local Empirical Data

    ERIC Educational Resources Information Center

    Klann, Jeffrey G.

    2011-01-01

    Clinical Decision Support is one of the only aspects of health information technology that has demonstrated decreased costs and increased quality in healthcare delivery, yet it is extremely expensive and time-consuming to create, maintain, and localize. Consequently, a majority of health care systems do not utilize it, and even when it is…

  16. An Exploration of the Relationship between Clinical Decision-Making Ability and Educational Preparation among New Graduate Nurses

    ERIC Educational Resources Information Center

    Blount, Kamilah V.

    2013-01-01

    This study examined the impact of accelerated nursing direct entry master's programs on the development of clinical decision-making skills of new graduate nurses that completed the Performance Based Development System (PBDS) assessment during the study period of 2008-2012 at a healthcare organization. Healthcare today is practiced in a…

  17. Clinical Information System Services and Capabilities Desired for Scalable, Standards-Based, Service-oriented Decision Support: Consensus Assessment of the Health Level 7 Clinical Decision Support Work Group

    PubMed Central

    Kawamoto, Kensaku; Jacobs, Jason; Welch, Brandon M.; Huser, Vojtech; Paterno, Marilyn D.; Del Fiol, Guilherme; Shields, David; Strasberg, Howard R.; Haug, Peter J.; Liu, Zhijing; Jenders, Robert A.; Rowed, David W.; Chertcoff, Daryl; Fehre, Karsten; Adlassnig, Klaus-Peter; Curtis, A. Clayton

    2012-01-01

    A standards-based, service-oriented architecture for clinical decision support (CDS) has the potential to significantly enhance CDS scalability and robustness. To enable such a CDS architecture, the Health Level 7 CDS Work Group reviewed the literature, hosted multi-stakeholder discussions, and consulted domain experts to identify and prioritize the services and capabilities required from clinical information systems (CISs) to enable service-oriented CDS. In addition, relevant available standards were identified. Through this process, ten CIS services and eight CIS capabilities were identified as being important for enabling scalable, service-oriented CDS. In particular, through a survey of 46 domain experts, five services and capabilities were identified as being especially critical: 1) the use of standard information models and terminologies; 2) the ability to leverage a Decision Support Service (DSS); 3) support for a clinical data query service; 4) support for an event subscription and notification service; and 5) support for a user communication service. PMID:23304315

  18. Recent clinical and translational advances in pediatric hypertension.

    PubMed

    Falkner, Bonita

    2015-05-01

    Epidemiological reports describe a child population increase in BP level and an increase in prevalence of hypertension, that is largely, but not entirely, driven by a concurrent increase in childhood obesity. Given current estimates, ≈10% of adolescents have hypertension or prehypertension. In addition to obesity, dietary salt intake and waist circumference, a marker of visceral obesity, are found to be independently associated with the rise in BP among children and adolescents. Dietary salt intake in urban children is well above recommended levels largely because of consumption of processed and fast foods. Childhood exposures, such as stress,52 salt, and fructose, as well as lifestyles, including food sources, sleep patterns, and reductions in physical activity may have a role in obesity-high BP associations. In addition, clinical and translational evidence is mounting that intrauterine exposures alter can effect changes in fetal development that have an enduring effect on cardiovascular and metabolic function later in life. These effects can be detected even in children who are products of a term otherwise normal pregnancy. Hypertension in childhood has been defined statistically (BP ≥ 95th percentile) because of lack of outcome data that links a BP level with heightened risk for future cardiovascular events. Therefore, primary hypertension had been considered a risk factor for later hypertension in adulthood. Intermediate markers of TOD, including cardiac hypertrophy, vascular stiffness, and increases in cIMT, are detectable in adolescents with primary hypertension. Evidence that vascular injury is present in the early phase of hypertension and even in prehypertension warrants consideration on the current definition of pediatric hypertension. With further studies on TOD and other risk factors in addition to high BP, it may be possible to shift from a statistical definition to a definition of childhood hypertension that is evidence based. Preventing or

  19. Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches

    PubMed Central

    Snyder, Hannah R.; Miyake, Akira; Hankin, Benjamin L.

    2015-01-01

    Executive function (EF) is essential for successfully navigating nearly all of our daily activities. Of critical importance for clinical psychological science, EF impairments are associated with most forms of psychopathology. However, despite the proliferation of research on EF in clinical populations, with notable exceptions clinical and cognitive approaches to EF have remained largely independent, leading to failures to apply theoretical and methodological advances in one field to the other field and hindering progress. First, we review the current state of knowledge of EF impairments associated with psychopathology and limitations to the previous research in light of recent advances in understanding and measuring EF. Next, we offer concrete suggestions for improving EF assessment. Last, we suggest future directions, including integrating modern models of EF with state of the art, hierarchical models of dimensional psychopathology as well as translational implications of EF-informed research on clinical science. PMID:25859234

  20. Implementing shared decision-making in nutrition clinical practice: A theory-based approach and feasibility study

    PubMed Central

    Desroches, Sophie; Gagnon, Marie-Pierre; Tapp, Sylvie; Légaré, France

    2008-01-01

    Background There are a growing number of dietary treatment options to choose from for the management of many chronic diseases. Shared decision making represents a promising approach to improve the quality of the decision making process needed for dietary choices that are informed by the best evidence and value-based. However, there are no studies reporting on theory-based approaches that foster the implementation of shared decision making in health professions allied to medicine. The objectives of this study are to explore the integration of shared decision making within real nutritional consultations, and to design questionnaires to assess dieticians' intention to adopt two specific behaviors related to shared decision making using the Theory of Planned Behavior. Methods Forty dieticians will audiotape one clinical encounter to explore the presence of shared decision making within the consultation. They will also participate to one of five to six focus groups that aim to identify the salient beliefs underlying the determinants of their intention to present evidence-based dietary treatment options to their patients, and clarify the values related to dietary choices that are important to their patients. These salient beliefs will be used to elaborate the items of two questionnaires. The internal consistency of theoretical constructs and the temporal stability of their measurement will be checked using the test-retest method by asking 35 dieticians to complete the questionnaire twice within a two-week interval. Discussion The proposed research project will be the first study to: provide preliminary data about the adoption of shared decision making by dieticians and theirs patients; elicit dieticians' salient beliefs regarding the intention to adopt shared decision making behaviors, report on the development of a specific questionnaire; explore dieticians' views on the implementation of shared decision making; and compare their views regarding the implementation of

  1. The problem-oriented system, problem-knowledge coupling, and clinical decision making.

    PubMed

    Weed, L L; Zimny, N J

    1989-07-01

    The information tool to aid us in making the clinical decisions discussed in this presentation is called the PKC. Our goal with patients should be to couple the knowledge of the unique patient to the knowledge in the literature and get the best possible match. This approach requires combinatorial versus probabilistic thinking. In the real world, ideal matches are not found. Therefore, it is critical to exhaust the patient's uniqueness first and only then use probabilities to settle further uncertainties. It is an error to teach people how to deal with uncertainty instead of teaching them to clean up a great deal of the uncertainty first. Patients must be involved in this endeavor. In essence, they have a PhD in their own uniqueness, and it is this uniqueness that is very powerful in solving complex problems. This method of patient evaluation and management cannot be used with the unaided mind. It requires new and powerful information tools like the PKC. All information that is relevant to a problem should be included in the coupler. It should encompass differing points of view, and the rationale should be made explicit to clinician and patient alike. When complete, the coupler should represent an interdisciplinary compilation of questions and tests that are expected to be collected every time in the clinic for the type of problem the coupler represents. This method will provide a basis for quality control because the contents of the coupler now have defined what we expect to occur in every patient encounter.(ABSTRACT TRUNCATED AT 250 WORDS)

  2. An ontology-driven, case-based clinical decision support model for removable partial denture design

    NASA Astrophysics Data System (ADS)

    Chen, Qingxiao; Wu, Ji; Li, Shusen; Lyu, Peijun; Wang, Yong; Li, Miao

    2016-06-01

    We present the initial work toward developing a clinical decision support model for specific design of removable partial dentures (RPDs) in dentistry. We developed an ontological paradigm to represent knowledge of a patient’s oral conditions and denture component parts. During the case-based reasoning process, a cosine similarity algorithm was applied to calculate similarity values between input patients and standard ontology cases. A group of designs from the most similar cases were output as the final results. To evaluate this model, the output designs of RPDs for 104 randomly selected patients were compared with those selected by professionals. An area under the curve of the receiver operating characteristic (AUC-ROC) was created by plotting true-positive rates against the false-positive rate at various threshold settings. The precision at position 5 of the retrieved cases was 0.67 and at the top of the curve it was 0.96, both of which are very high. The mean average of precision (MAP) was 0.61 and the normalized discounted cumulative gain (NDCG) was 0.74 both of which confirmed the efficient performance of our model. All the metrics demonstrated the efficiency of our model. This methodology merits further research development to match clinical applications for designing RPDs. This paper is organized as follows. After the introduction and description of the basis for the paper, the evaluation and results are presented in Section 2. Section 3 provides a discussion of the methodology and results. Section 4 describes the details of the ontology, similarity algorithm, and application.

  3. Does quality of life impact the decision to pursue stem cell transplantation for elderly patients with advanced MDS?

    PubMed

    El-Jawahri, A; Kim, H T; Steensma, D P; Cronin, A M; Stone, R M; Watts, C D; Chen, Y-B; Cutler, C S; Soiffer, R J; Abel, G A

    2016-08-01

    The factors that influence utilization of reduced-intensity conditioning (RIC) allogeneic hematopoietic stem cell transplantation (HCT) among medically fit older patients with advanced myelodysplastic syndromes (MDS) are largely unknown. The MDS Transplant-Associated Outcomes (MDS-TAO) study is an ongoing prospective observational study at the Dana-Farber Cancer Institute and Massachusetts General Hospital that enrolls transplant-eligible fit patients aged 60-75 years with advanced MDS and follows them through RIC HCT vs non-HCT treatment. In this analysis of 127 patients enrolled from May 2011 to June 2014, we examined the influence of age, gender, cytogenetics, International Prognostic Scoring System (IPSS) category, performance status, distance from HCT center and baseline patient-reported quality of life (QOL) from the EORTC QLQ-C30 (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire) on the likelihood of receiving RIC HCT using competing risk regression modeling. With a median follow-up of 16 months, 44 patients (35%) had undergone RIC HCT. In multivariable analyses, age (hazard ratio (HR) 0.87 per year, 95% confidence interval (CI): 0.81-0.92, P<0.001) and higher IPSS (intermediate-2/high; HR 2.29, 95% CI: 1.25-4.19, P=0.007) were significantly predictive of receipt of RIC HCT; neither global QOL score nor any QOL subscales scores were predictive. These data suggest that baseline patient-reported QOL has little influence on the decision to undergo RIC HCT for older patients with advanced MDS.

  4. Some Advances in Downscaling Probabilistic Climate Forecasts for Agricultural Decision Support

    NASA Astrophysics Data System (ADS)

    Han, E.; Ines, A.

    2015-12-01

    Seasonal climate forecasts, commonly provided in tercile-probabilities format (below-, near- and above-normal), need to be translated into more meaningful information for decision support of practitioners in agriculture. In this paper, we will present two new novel approaches to temporally downscale probabilistic seasonal climate forecasts: one non-parametric and another parametric method. First, the non-parametric downscaling approach called FResampler1 uses the concept of 'conditional block sampling' of weather data to create daily weather realizations of a tercile-based seasonal climate forecasts. FResampler1 randomly draws time series of daily weather parameters (e.g., rainfall, maximum and minimum temperature and solar radiation) from historical records, for the season of interest from years that belong to a certain rainfall tercile category (e.g., being below-, near- and above-normal). In this way, FResampler1 preserves the covariance between rainfall and other weather parameters as if conditionally sampling maximum and minimum temperature and solar radiation if that day is wet or dry. The second approach called predictWTD is a parametric method based on a conditional stochastic weather generator. The tercile-based seasonal climate forecast is converted into a theoretical forecast cumulative probability curve. Then the deviates for each percentile is converted into rainfall amount or frequency or intensity to downscale the 'full' distribution of probabilistic seasonal climate forecasts. Those seasonal deviates are then disaggregated on a monthly basis and used to constrain the downscaling of forecast realizations at different percentile values of the theoretical forecast curve. As well as the theoretical basis of the approaches we will discuss sensitivity analysis (length of data and size of samples) of them. In addition their potential applications for managing climate-related risks in agriculture will be shown through a couple of case studies based on

  5. Advancing an Ethic of Embodied Relational Sexuality to Guide Decision-Making in Dementia Care.

    PubMed

    Grigorovich, Alisa; Kontos, Pia

    2016-12-07

    Sexuality and intimacy are universal needs that transcend age, cognitive decline, and disability; sexuality is a fundamental aspect of the human experience. However, supporting sexuality in long-term residential care presents ethical challenges as this setting is both a home environment for residents and a workplace for health practitioners. This is particularly complex in the case of residents with dementia given the need to balance protection from harm and freedom of self-determination. Despite such complexity, this challenge has received limited critical theoretical attention. The dominant approach advocated to guide ethical reasoning is the bioethical four principles approach. However, the application of this approach in the context of dementia and long-term care may set the bar for practitioners' interference excessively high, restricting assentual (i.e., voluntary) sexual expression. Furthermore, it privileges cognitive and impartial decision-making, while disregarding performative, embodied, and relational aspects of ethical reasoning. With an interest in addressing these limitations, we explicate an alternative ethic of embodied relational sexuality that is grounded in a model of citizenship that recognizes relationality and the agential status of embodied self-expression. This alternative ethic broadens ethical reasoning from the exclusive duty to protect individuals from harm associated with sexual expression, to the duty to also uphold and support their rights to experience the benefits of sexual expression (e.g., pleasure, intimacy). As such it has the potential to inform the development of policies, organizational guidelines, and professional curricula to support the sexuality of persons with dementia, and thereby ensure more humane practices in long-term residential care settings.

  6. Clinical Decision Support System to Enhance Quality Control of Spirometry Using Information and Communication Technologies

    PubMed Central

    2014-01-01

    Background We recently demonstrated that quality of spirometry in primary care could markedly improve with remote offline support from specialized professionals. It is hypothesized that implementation of automatic online assessment of quality of spirometry using information and communication technologies may significantly enhance the potential for extensive deployment of a high quality spirometry program in integrated care settings. Objective The objective of the study was to elaborate and validate a Clinical Decision Support System (CDSS) for automatic online quality assessment of spirometry. Methods The CDSS was done through a three step process including: (1) identification of optimal sampling frequency; (2) iterations to build-up an initial version using the 24 standard spirometry curves recommended by the American Thoracic Society; and (3) iterations to refine the CDSS using 270 curves from 90 patients. In each of these steps the results were checked against one expert. Finally, 778 spirometry curves from 291 patients were analyzed for validation purposes. Results The CDSS generated appropriate online classification and certification in 685/778 (88.1%) of spirometry testing, with 96% sensitivity and 95% specificity. Conclusions Consequently, only 93/778 (11.9%) of spirometry testing required offline remote classification by an expert, indicating a potential positive role of the CDSS in the deployment of a high quality spirometry program in an integrated care setting. PMID:25600957

  7. Dose coefficients and derived guidance and clinical decision levels for contaminated wounds

    SciTech Connect

    Bertelli, Luiz; Toohey, Richard E

    2009-01-01

    The NCRP Wound Model describing the retention of selected radionuclides at the site of a contaminated wound and their uptake into the transfer compartment has been combined with the ICRP element-specific systemic models for those radionuclides to derive dose coefficients for intakes via contaminated wounds. Those coefficients have been used to generate derived guidance levels (i.e., the activity in a wound that would result in an effective dose of 20 or 50 mSv, or in some cases, a committed organ equivalent dose of 500 mSv), and clinical decision levels (i.e., activity levels that would indicate the need for consideration of medical intervention to remove activity from the wound site or administration of decorporation therapy or both), typically set at 5 times the derived guidance levels. Data are provided for the radionuclides commonly encountered at nuclear power plants and nuclear weapons, fuel fabrication or recycling, waste disposal, medical and research facilities. These include: {sup 60}Co, {sup 90}Sr, {sup 99m}Tc, {sup 131}I, {sup 137}Cs, {sup 192}Ir, {sup 210}Po, {sup 226,228}Ra, {sup 228,232}Th, {sup 235,238}U, {sup 237}Np, {sup 238,239}Pu, {sup 241}Am, {sup 242,244}Cm, and {sup 252}Cf.

  8. MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis.

    PubMed

    Bousquet, Jean; Schünemann, Holger J; Hellings, Peter W; Arnavielhe, Sylvie; Bachert, Claus; Bedbrook, Anna; Bergmann, Karl-Christian; Bosnic-Anticevich, Sinthia; Brozek, Jan; Calderon, Moises; Canonica, G Walter; Casale, Thomas B; Chavannes, Niels H; Cox, Linda; Chrystyn, Henry; Cruz, Alvaro A; Dahl, Ronald; De Carlo, Giuseppe; Demoly, Pascal; Devillier, Phillipe; Dray, Gérard; Fletcher, Monica; Fokkens, Wytske J; Fonseca, Joao; Gonzalez-Diaz, Sandra N; Grouse, Lawrence; Keil, Thomas; Kuna, Piotr; Larenas-Linnemann, Désirée; Lodrup Carlsen, Karin C; Meltzer, Eli O; Mullol, Jaoquim; Muraro, Antonella; Naclerio, Robert N; Palkonen, Susanna; Papadopoulos, Nikolaos G; Passalacqua, Giovanni; Price, David; Ryan, Dermot; Samolinski, Boleslaw; Scadding, Glenis K; Sheikh, Aziz; Spertini, François; Valiulis, Arunas; Valovirta, Erkka; Walker, Samantha; Wickman, Magnus; Yorgancioglu, Arzu; Haahtela, Tari; Zuberbier, Torsten

    2016-08-01

    The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.

  9. Clinical Cancer Advances 2005: major research advances in cancer treatment, prevention, and screening--a report from the American Society of Clinical Oncology.

    PubMed

    Herbst, Roy S; Bajorin, Dean F; Bleiberg, Harry; Blum, Diane; Hao, Desirée; Johnson, Bruce E; Ozols, Robert F; Demetri, George D; Ganz, Patricia A; Kris, Mark G; Levin, Bernard; Markman, Maurie; Raghavan, Derek; Reaman, Gregory H; Sawaya, Raymond; Schuchter, Lynn M; Sweetenham, John W; Vahdat, Linda T; Vokes, Everett E; Winn, Rodger J; Mayer, Robert J

    2006-01-01

    This year, for the first time, the American Society of Clinical Oncology (ASCO) is publishing Clinical Cancer Advances 2005: Major Research Advances in Cancer Treatment, Prevention, and Screening, an annual review of the most significant clinical research presented or published over the past year across all cancer types. ASCO embarked on this project to provide the public, patients, policymakers, and physicians with an accessible summary of the year's most important research advances. While not intended to serve as a comprehensive review, this report provides a year-end snapshot of research that will have the greatest impact on patient care. As you will read, there is much good news from the front lines of cancer research. These pages report on new chemotherapy regimens that sharply reduce the risk of recurrence for very common cancers; the "coming of age" of targeted cancer therapies; promising studies of drugs to prevent cancer; and improvements in quality of life for people living with the disease, among many other advances. Survival rates for cancer are on the rise, increasing from 50% to 64% over the last 30 years. Cancer still exacts an enormous toll, however. Nearly 1.4 million Americans will be diagnosed this year, and some 570,000 will die of the disease. Clearly, more research is needed to find effective therapies for the most stubborn cancer types and stages. We need to know more about the long-term effects of newer, more targeted cancer therapies, some of which need to be taken over long periods of time. And we need to devote far greater attention to tracking and improving the care of the nearly 10 million cancer survivors in the United States today. Despite these and other challenges, the message of this report is one of hope. Through the dedicated, persistent pursuit of clinical research and participation in clinical trials by people with cancer, we steadily uncover new and better ways of treating, diagnosing, and preventing a disease that touches the

  10. Design, Implementation, Use, and Preliminary Evaluation of SEBASTIAN, a Standards-Based Web Service for Clinical Decision Support

    PubMed Central

    Kawamoto, Kensaku; Lobach, David F.

    2005-01-01

    Despite their demonstrated ability to improve care quality, clinical decision support systems are not widely used. In part, this limited use is due to the difficulty of sharing medical knowledge in a machine-executable format. To address this problem, we developed a decision support Web service known as SEBASTIAN. In SEBASTIAN, individual knowledge modules define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions. Using standards-based XML messages transmitted over HTTP, client decision support applications provide patient data to SEBASTIAN and receive patient-specific assessments and recommendations. SEBASTIAN has been used to implement four distinct decision support systems; an architectural overview is provided for one of these systems. Preliminary assessments indicate that SEBASTIAN fulfills all original design objectives, including the re-use of executable medical knowledge across diverse applications and care settings, the straightforward authoring of knowledge modules, and use of the framework to implement decision support applications with significant clinical utility. PMID:16779066

  11. Advancing the business creed? The framing of decisions about public sector managed care.

    PubMed

    Waitzkin, Howard; Yager, Joel; Santos, Richard

    2012-01-01

    Relatively little research has clarified how executives of for-profit healthcare organisations frame their own motivations and behaviour, or how government officials frame their interactions with executives. Because managed care has provided an organisational structure for health services in many countries, we focused our study on executives and government officials who were administering public sector managed care services. Emphasising theoretically the economic versus non-economic motivations that guide economic behaviour, we extended a long-term research project on public sector Medicaid managed care (MMC) in the United States. Our method involved in-depth, structured interviews with chief executive officers of managed care organisations, as well as high-ranking officials of state government. Data analysis involved iterative interpretation of interview data. We found that the rate of profit, which proved relatively low in the MMC programme, occupied a limited place in executives' self-described motivations and in state officials' descriptions of corporation-government interactions. Non-economic motivations included a strong orientation toward corporate social responsibility and a creed in which market processes advanced human wellbeing. Such patterns contradict some of the given wisdom about how corporate executives and government officials construct their reality.

  12. Translating Advances from the Basic Biology of Aging into Clinical Application

    PubMed Central

    Kirkland, James L.

    2013-01-01

    Recently, lifespan and healthspan have been extended in experimental animals using interventions that are potentially translatable into humans. A great deal of thought and work are needed beyond the usual steps in drug development to advance these findings into clinical application. Realistic pre-clinical and clinical trials paradigms need to be devised. Focusing on subjects with symptoms of age-related diseases or frailty or who are at imminent risk of developing these problems, measuring effects on short-term, clinically relevant outcomes, as opposed to long-term outcomes such as healthspan or lifespan, and developing biomarkers and outcome measures acceptable to regulatory agencies will be important. Research funding is a major roadblock, as is lack of investigators with combined expertise in the basic biology of aging, clinical geriatrics, and conducting investigational new drug clinical trials. Options are reviewed for developing a path from the bench to the bedside for interventions that target fundamental aging processes. PMID:23237984

  13. Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

    PubMed

    Shen, Ying; Colloc, Joël; Jacquet-Andrieu, Armelle; Lei, Kai

    2015-08-01

    This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts.

  14. Amatoxin poisoning treatment decision-making: pharmaco-therapeutic clinical strategy assessment using multidimensional multivariate statistic analysis.

    PubMed

    Poucheret, Patrick; Fons, Françoise; Doré, Jean Christophe; Michelot, Didier; Rapior, Sylvie

    2010-06-15

    Ninety percent of fatal higher fungus poisoning is due to amatoxin-containing mushroom species. In addition to absence of antidote, no chemotherapeutic consensus was reported. The aim of the present study is to perform a retrospective multidimensional multivariate statistic analysis of 2110 amatoxin poisoning clinical cases, in order to optimize therapeutic decision-making. Our results allowed to classify drugs as a function of their influence on one major parameter: patient survival. Active principles were classified as first intention, second intention, adjuvant or controversial pharmaco-therapeutic clinical intervention. We conclude that (1) retrospective multidimensional multivariate statistic analysis of complex clinical dataset might help future therapeutic decision-making and (2) drugs such as silybin, N-acetylcystein and putatively ceftazidime are clearly associated, in amatoxin poisoning context, with higher level of patient survival.

  15. Proposal for Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients

    DTIC Science & Technology

    2010-10-01

    regarding continuation of life-sustaining vs. palliative care . Finally, using regret DCA, the optimal decision for the specific patient is suggested...is to develop an Evidence-based Clinical Decision Support (CDSS-EBM) system and make it available at the point of care to improve prognostication of...Analysis and Regret theory to compare multiple decision strategies based on the decision maker’s personal attitudes towards each strategy

  16. Enabling cross-platform clinical decision support through Web-based decision support in commercial electronic health record systems: proposal and evaluation of initial prototype implementations.

    PubMed

    Zhang, Mingyuan; Velasco, Ferdinand T; Musser, R Clayton; Kawamoto, Kensaku

    2013-01-01

    Enabling clinical decision support (CDS) across multiple electronic health record (EHR) systems has been a desired but largely unattained aim of clinical informatics, especially in commercial EHR systems. A potential opportunity for enabling such scalable CDS is to leverage vendor-supported, Web-based CDS development platforms along with vendor-supported application programming interfaces (APIs). Here, we propose a potential staged approach for enabling such scalable CDS, starting with the use of custom EHR APIs and moving towards standardized EHR APIs to facilitate interoperability. We analyzed three commercial EHR systems for their capabilities to support the proposed approach, and we implemented prototypes in all three systems. Based on these analyses and prototype implementations, we conclude that the approach proposed is feasible, already supported by several major commercial EHR vendors, and potentially capable of enabling cross-platform CDS at scale.

  17. Identifying components of advanced-level clinical nutrition practice: a Delphi study.

    PubMed

    Brody, Rebecca A; Byham-Gray, Laura; Touger-Decker, Riva; Passannante, Marian R; O'Sullivan Maillet, Julie

    2012-06-01

    The dietetics profession lacks a comprehensive definition of advanced-level practice. Using a three-round Delphi study with mailed surveys, expert consensus on four dimensions of advanced-level practice that define advanced practice registered dietitians (RDs) in clinical nutrition was explored. Purposive sampling identified 117 RDs who met advanced-level practice criteria. In round 1, experts rated the essentiality of statements on a 7-point ordinal scale and generated open-ended practice activity statements regarding the following four dimensions of advanced-level practice: professional knowledge, abilities and skills, approaches to practice, roles and relationships, and practice behaviors. Median ratings of 1.0 to 3.0 were defined as essential, 4.0 was neutral, and 5.0 to 7.0 were nonessential. In rounds 2 and 3, experts re-rated statements not reaching consensus by evaluating their previous responses, group median rating, and comments. Consensus was reached when the interquartile range of responses to a statement was ≤2.0. Eighty-five experts enrolled (72.6%); 76 (89.4%) completed all rounds. In total, 233 statements were rated, with 100% achieving consensus; 211 (90.6%) were essential to advanced practice RD clinical practice. Having a master's degree; completing an advanced practice residency; research coursework; and advanced continuing education were essential, as were having 8 years of experience; clinical nutrition knowledge/expertise; specialization; participation in research activities; and skills in technology and communication. Highly essential approaches to practice were systematic yet adaptable and used critical thinking and intuition and highly essential values encompassed professional growth and service to patients. Roles emphasized patient care and leadership. Essential practice activities within the nutrition care process included provision of complex patient-centered nutrition care using application of advanced knowledge/expertise and

  18. Advances in circulating tumor cells (ACTC): from basic research to clinical practice

    PubMed Central

    2013-01-01

    The first 'Advances in Circulating Tumor Cells (ACTC): from Basic Research to Clinical Practice' meeting was held in Athens, Greece, September 26–29, 2012 (abstracts, presentations and a more detailed meeting report are freely available online: http://www.actc2012.org). We summarize in this report most major findings presented and the main conclusions derived during the expert panel sessions. PMID:24314311

  19. The effect of multimedia replacing text in resident clinical decision-making assessment.

    PubMed

    Chang, Todd P; Schrager, Sheree M; Rake, Alyssa J; Chan, Michael W; Pham, Phung K; Christman, Grant

    2016-10-17

    Multimedia in assessing clinical decision-making skills (CDMS) has been poorly studied, particularly in comparison to traditional text-based assessments. The literature suggests multimedia is more difficult for trainees. We hypothesize that pediatric residents score lower in diagnostic skill when clinical vignettes use multimedia rather than text for patient findings. A standardized method was developed to write text-based questions from 60 high-resolution, quality multimedia; a series of expert panels selected 40 questions with both a multimedia and text-based counterpart, and two online tests were developed. Each test featured 40 identical questions with reciprocal and alternating modality (multimedia vs. text). Pediatric residents and rising 4th year medical students (MS-IV) at a single residency were randomized to complete either test stratified by postgraduate training year (PGY). A mixed between-within subjects ANOVA analyzed differences in score due to modality and PGY. Secondary analyses ascertained modality effect in dermatology and respiratory questions using Mann-Whitney U tests, and correlations on test performance to In-service Training Exam (ITE) scores using Spearman rank. Eighty-eight residents and rising interns completed the study. Overall multimedia scores were lower than text-based scores (p = 0.047, η p(2)  = 0.04), with highest disparity in rising interns (MS-IV); however, PGY had a greater effect on scores (p = 0.001, η p(2)  = 0.16). Respiratory questions were not significantly lower with multimedia (n = 9, median 0.71 vs. 0.86, p = 0.09) nor dermatology questions (n = 13, p = 0.41). ITEs correlated significantly with text-based scores (ρ = 0.23-0.25, p = 0.04-0.06) but not with multimedia scores. In physician trainees with less clinical experience, multimedia-based case vignettes are associated with significantly lower scores. These results help shed light on the role of multimedia versus text-based information in

  20. Modeling the Innovation-Decision Process: Dissemination and Adoption of a Motivational Interviewing Preparatory Procedure In Addiction Outpatient Clinics.

    PubMed

    Walitzer, Kimberly S; Dermen, Kurt H; Barrick, Christopher; Shyhalla, Kathleen

    2015-10-01

    Widespread adoption of empirically-supported treatment innovations has the potential to improve effectiveness of treatment received by individuals with substance use disorders. However, the process of disseminating such innovations has been complex, slow, and difficult. We empirically describe the dissemination and adoption of a treatment innovation--an alcohol-treatment preparatory therapeutic procedure based on motivational interviewing (MI)--in the context of Rogers' (2003) five stages of innovation-decision process (knowledge, persuasion, decision, implementation and confirmation). To this end, 145 randomly-chosen outpatient addiction treatment clinics in New York State received an onsite visit from a project trainer delivering one of three randomly-assigned dissemination intensities: a 15-minute, a half-day or a full-day presentation. Across these clinics, 141 primary administrators and 837 clinicians completed questionnaires assessing aspects of five innovation-decision stages. At each clinic, questionnaire administration occurred immediately pre- and post-dissemination, as well as 1 and 6 months after dissemination. Consistent with Rogers' theory, earlier stages of the innovation-decision process predicted later stages. As hypothesized, dissemination intensity predicted clinicians' post-dissemination knowledge. Clinician baseline characteristics (including gender, pre-dissemination knowledge regarding the MI preparatory technique, education, case load, beliefs regarding the nature of alcohol problems, and beliefs and behavior with regard to therapeutic style) predicted knowledge and persuasion stage variables. One baseline clinic characteristic (i.e., clinic mean beliefs and behavior regarding an MI-consistent therapeutic style) predicted implementation stage variables. Findings suggest that dissemination strategies should accommodate clinician and clinic characteristics.

  1. Modeling the Innovation-Decision Process: Dissemination and Adoption of a Motivational Interviewing Preparatory Procedure in Addiction Outpatient Clinics

    PubMed Central

    Walitzer, Kimberly S.; Dermen, Kurt H.; Barrick, Christopher; Shyhalla, Kathleen

    2015-01-01

    Widespread adoption of empirically-supported treatment innovations has the potential to improve effectiveness of treatment received by individuals with substance use disorders. However, the process of disseminating such innovations has been complex, slow, and difficult. We empirically describe the dissemination and adoption of a treatment innovation – an alcohol-treatment preparatory therapeutic procedure based on motivational interviewing (MI) – in the context of Rogers’ (2003) five stages of innovation-decision process (knowledge, persuasion, decision, implementation and confirmation). To this end, 145 randomly-chosen outpatient addiction treatment clinics in New York State received an onsite visit from a project trainer delivering one of three randomly-assigned dissemination intensities: a 15-minute, a half-day or a full-day presentation. Across these clinics, 141 primary administrators and 837 clinicians completed questionnaires assessing aspects of five innovation-decision stages. At each clinic, questionnaire administration occurred immediately pre- and post-dissemination, as well as one and six months after dissemination. Consistent with Rogers’ theory, earlier stages of the innovation-decision process predicted later stages. As hypothesized, dissemination intensity predicted clinicians’ post-dissemination knowledge. Clinician baseline characteristics (including gender, pre-dissemination knowledge regarding the MI preparatory technique, education, case load, beliefs regarding the nature of alcohol problems, and beliefs and behavior with regard to therapeutic style) predicted knowledge and persuasion stage variables. One baseline clinic characteristic (i.e., clinic mean beliefs and behavior regarding an MI-consistent therapeutic style) predicted implementation stage variables. Findings suggest that dissemination strategies should accommodate clinician and clinic characteristics. PMID:25934460

  2. Clinical cancer advances 2007: major research advances in cancer treatment, prevention, and screening--a report from the American Society of Clinical Oncology.

    PubMed

    Gralow, Julie; Ozols, Robert F; Bajorin, Dean F; Cheson, Bruce D; Sandler, Howard M; Winer, Eric P; Bonner, James; Demetri, George D; Curran, Walter; Ganz, Patricia A; Kramer, Barnett S; Kris, Mark G; Markman, Maurie; Mayer, Robert J; Raghavan, Derek; Ramsey, Scott; Reaman, Gregory H; Sawaya, Raymond; Schuchter, Lynn M; Sweetenham, John W; Vahdat, Linda T; Davidson, Nancy E; Schilsky, Richard L; Lichter, Allen S

    2008-01-10

    A MESSAGE FROM ASCO'S PRESIDENT: For the third year, the American Society of Clinical Oncology (ASCO) is publishing Clinical Cancer Advances: Major Research Advances in Cancer Treatment, Prevention, and Screening, an annual review of the most significant cancer research presented or published over the past year. ASCO publishes this report to demonstrate the important progress being made on the front lines of clinical cancer research today. The report is intended to give all those with an interest in cancer care-the general public, cancer patients and organizations, policymakers, oncologists, and other medical professionals-an accessible summary of the year's most important cancer research advances. These pages report on the use of magnetic resonance imaging for breast cancer screening, the association between hormone replacement therapy and breast cancer incidence, the link between human papillomavirus and head and neck cancers, and the use of radiation therapy to prevent lung cancer from spreading. They also report on effective new targeted therapies for cancers that have been historically difficult to treat, such as liver cancer and kidney cancer, among many others. A total of 24 advances are featured in this year's report. These advances and many more over the past several years show that the nation's long-term investment in cancer research is paying off. But there are disturbing signs that progress could slow. We are now in the midst of the longest sustained period of flat government funding for cancer research in history. The budgets for the National Institutes of Health and the National Cancer Institute (NCI) have been unchanged for four years. When adjusted for inflation, cancer research funding has actually declined 12% since 2004. These budget constraints limit the NCI's ability to fund promising cancer research. In the past several years the number of grants that the NCI has been able to fund has significantly decreased; this year, in response to just the

  3. Teaching nurses to provide patient centered evidence-based care through the use of informatics tools that promote safety, quality and effective clinical decisions.

    PubMed

    Norton, Michele; Skiba, Diane J; Bowman, Jeanette

    2006-01-01

    Schools of Nursing face the challenge of providing students with experiences to use evidence-based consumer centric care information tools. To facilitate this challenge, a unique partnership was forged between a school of nursing and a leading clinical information systems corporation. This strategic partnership was created to advance the field of nursing informatics through the sharing of intellectual capital. Through this sharing, the goal is to study how technology can promote patient safety, support evidence-based care and facilitate consumer involvement in health care decisions. This paper describes the design, development and testing of a multimedia product that can be used by schools of nursing. This product can be integrated into a nursing curriculum to promote the use of informatics tools as an integral practice component. The multimedia product embraces the core competencies advocated by the Institute of Medicine's Health Professions Education Report.

  4. Military medical advances resulting from the conflict in Korea, Part II: Historic clinical accomplishments.

    PubMed

    Baker, Michael S

    2012-04-01

    Throughout the recorded history of civilization, there has been armed conflict. Warfare has been associated with advances in care for the wounded. Many of these advances when shown effective on the battlefield become incorporated into civilian health care. It is a laboratory where there is unfortunately much clinical material and presents opportunity for the creative, curious, and innovative. This article reviews the medical advances that resulted from the Korean War. There were notable advances in neurosurgery, vascular surgery, and plastic surgery. Tools from prior wars were rediscovered, dusted off, and used to stop combat losses from psychiatric trauma. A treatment was developed for cleft lip by a plastic surgeon, thus giving hope to young lives. War is a disruptive, destructive, and harrowing experience--but can lead to improvements in care for the wounded and these developments can improve the lives of people everywhere.

  5. Institutional Influences on Nurse-Academics' Instructional Planning Decisions in the Implementation of Basic Nursing Curricula in Colleges of Advanced Education in New South Wales.

    ERIC Educational Resources Information Center

    Roberts, Kathryn L.

    A study examined institutional influences on the instructional planning decisions of nurse-academics presenting basic nursing curricula in colleges of advanced education (CAEs) in New South Wales. Data were collected from the following sources: survey of 86 selected nurse-academics from 12 of New South Wales' 15 tertiary institutions running basic…

  6. Assessing Competing Demands and Charting a Course: A Phenomenological Study of Advanced Placement U.S. History Teachers' Decision Making and Course Planning

    ERIC Educational Resources Information Center

    Poole, Kerry D.

    2014-01-01

    Florida has experienced some of the greatest growth of Advanced Placement (AP) programs in recent years and student scores on the AP exams have evolved into a highly significant metric in evaluating student proficiency and teacher and school effectiveness. Despite this growth, it is not well known how AP teachers make decisions about the content…

  7. Decision making in nursing practice: a case review.

    PubMed

    Clack, Gail

    2009-06-01

    Clinical decisions and clinical judgements are important elements of nursing practice because they have a direct effect on patient care. A four-stage information processing framework was used to critique a decision to carry out chest examination and auscultation during the routine assessment of a child's asthma status. The use of this process demonstrates that nurses apply a combination of analytical and intuitive strategies when making decisions. Nurses who manage the care of patients in nurse-led clinics need to acquire advanced assessment skills to support their clinical decision making.

  8. Advanced Clinical Decision Support for Transport of the Critically Ill Patient

    DTIC Science & Technology

    2013-12-01

    thigh muscles preferred over arm If still no improvement in WOB or distress: START 1) Terbutaline infusion at 1 meg /kg/min <link to instructions...IV x 1 50 mg/kg (range is 25-100 mg/kg) IV over 20 min (max- 2 grams) Terbutaline infusion at 1mcg/kg/min May titrate up by 0.5 meg /kg/min q 30...mins to max of 4 meg /kg/min NOTE: Pediatric doses for this drug are MUCH HIGHER than recommended adult doses Charts that can all be linked to

  9. Advanced Clinical Decision Support for Transport of the Critically Ill Patient

    DTIC Science & Technology

    2012-10-01

    successful   site   visit.   Finally,   Dr.   Flori   8 presented  an...vital   for   success  of   subsequent   research.   Along  these  lines,  we  have  engaged  in  several...teleconferences  with  the  Starix  Technology  Think-­‐ a-­‐Move  personnel  on  the   success  and  applicability  of   their

  10. The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification

    PubMed Central

    Wang, Hui; Shi, Tujin; Qian, Wei-Jun; Liu, Tao; Kagan, Jacob; Srivastava, Sudhir; Smith, Richard D.; Rodland, Karin D.; Camp, David G.

    2016-01-01

    Mass spectrometry (MS) -based proteomics has become an indispensable tool with broad applications in systems biology and biomedical research. With recent advances in liquid chromatography (LC) and MS instrumentation, LC–MS is making increasingly significant contributions to clinical applications, especially in the area of cancer biomarker discovery and verification. To overcome challenges associated with analyses of clinical samples (for example, a wide dynamic range of protein concentrations in bodily fluids and the need to perform high throughput and accurate quantification of candidate biomarker proteins), significant efforts have been devoted to improve the overall performance of LC–MS-based clinical proteomics platforms. Reviewed here are the recent advances in LC–MS and its applications in cancer biomarker discovery and quantification, along with the potentials, limitations and future perspectives. PMID:26581546

  11. The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification

    SciTech Connect

    Wang, Hui; Shi, Tujin; Qian, Wei-Jun; Liu, Tao; Kagan, Jacob; Srivastava, Sudhir; Smith, Richard D.; Rodland, Karin D.; Camp, David G.

    2015-12-04

    Mass spectrometry-based proteomics has become an indispensable tool in biomedical research with broad applications ranging from fundamental biology, systems biology, and biomarker discovery. Recent advances in LC-MS have made it become a major technology in clinical applications, especially in cancer biomarker discovery and verification. To overcome the challenges associated with the analysis of clinical samples, such as extremely wide dynamic range of protein concentrations in biofluids and the need to perform high throughput and accurate quantification, significant efforts have been devoted to improve the overall performance of LC-MS bases clinical proteomics. In this review, we summarize the recent advances in LC-MS in the aspect of cancer biomarker discovery and quantification, and discuss its potentials, limitations, and future perspectives.

  12. OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records

    PubMed Central

    Chen, Jonathan H; Podchiyska, Tanya

    2016-01-01

    Objective: To answer a “grand challenge” in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR), analogous to Netflix or Amazon.com’s product recommender. Materials and Methods: EMR data were extracted from 1 year of hospitalizations (>18K patients with >5.4M structured items including clinical orders, lab results, and diagnosis codes). Association statistics were counted for the ∼1.5K most common items to drive an order recommender. The authors assessed the recommender’s ability to predict hospital admission orders and outcomes based on initial encounter data from separate validation patients. Results: Compared to a reference benchmark of using the overall most common orders, the recommender using temporal relationships improves precision at 10 recommendations from 33% to 38% (P < 10−10) for hospital admission orders. Relative risk-based association methods improve inverse frequency weighted recall from 4% to 16% (P < 10−16). The framework yields a prediction receiver operating characteristic area under curve (c-statistic) of 0.84 for 30 day mortality, 0.84 for 1 week need for ICU life support, 0.80 for 1 week hospital discharge, and 0.68 for 30-day readmission. Discussion: Recommender results quantitatively improve on reference benchmarks and qualitatively appear clinically reasonable. The method assumes that aggregate decision making converges appropriately, but ongoing evaluation is necessary to discern common behaviors from “correct” ones. Conclusions: Collaborative filtering recommender algorithms generate clinical decision support that is predictive of real practice patterns and clinical outcomes. Incorporating temporal relationships improves accuracy. Different evaluation metrics satisfy different goals (predicting likely events vs. “interesting” suggestions). PMID:26198303

  13. Clinical decision making in spinal fusion for chronic low back pain. Results of a nationwide survey among spine surgeons

    PubMed Central

    de Bie, Rob; Öner, Cumhur; Castelein, René; de Kleuver, Marinus

    2011-01-01

    Objectives To assess the use of prognostic patient factors and predictive tests in clinical decision making for spinal fusion in patients with chronic low back pain. Design and setting Nationwide survey among spine surgeons in the Netherlands. Participants Surgeon members of the Dutch Spine Society were questioned on their surgical treatment strategy for chronic low back pain. Primary and secondary outcome measures The surgeons' opinion on the use of prognostic patient factors and predictive tests for patient selection were addressed on Likert scales, and the degree of uniformity was assessed. In addition, the influence of surgeon-specific factors, such as clinical experience and training, on decision making was determined. Results The comments from 62 surgeons (70% response rate) were analysed. Forty-four surgeons (71%) had extensive clinical experience. There was a statistically significant lack of uniformity of opinion in seven of the 11 items on prognostic factors and eight of the 11 items on predictive tests, respectively. Imaging was valued much higher than predictive tests, psychological screening or patient preferences (all p<0.01). Apart from the use of discography and long multisegment fusions, differences in training or clinical experience did not appear to be of significant influence on treatment strategy. Conclusions The present survey showed a lack of consensus among spine surgeons on the appreciation and use of predictive tests. Prognostic patient factors were not consistently incorporated in their treatment strategy either. Clinical decision making for spinal fusion to treat chronic low back pain does not have a uniform evidence base in practice. Future research should focus on identifying subgroups of patients for whom spinal fusion is an effective treatment, as only a reliable prediction of surgical outcome, combined with the implementation of individual patient factors, may enable the instalment of consensus guidelines for surgical decision

  14. Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline

    PubMed Central

    Harris, Lyndsay N.; McShane, Lisa M.; Andre, Fabrice; Collyar, Deborah E.; Gonzalez-Angulo, Ana M.; Hammond, Elizabeth H.; Kuderer, Nicole M.; Liu, Minetta C.; Mennel, Robert G.; Van Poznak, Catherine; Bast, Robert C.; Hayes, Daniel F.

    2016-01-01

    Purpose To provide recommendations on appropriate use of breast tumor biomarker assay results to guide decisions on adjuvant systemic therapy for women with early-stage invasive breast cancer. Methods A literature search and prospectively defined study selection sought systematic reviews, meta-analyses, randomized controlled trials, prospective-retrospective studies, and prospective comparative observational studies published from 2006 through 2014. Outcomes of interest included overall survival and disease-free or recurrence-free survival. Expert panel members used informal consensus to develop evidence-based guideline recommendations. Results The literature search identified 50 relevant studies. One randomized clinical trial and 18 prospective-retrospective studies were found to have evaluated the clinical utility, as defined by the guideline, of specific biomarkers for guiding decisions on the need for adjuvant systemic therapy. No studies that met guideline criteria for clinical utility were found to guide choice of specific treatments or regimens. Recommendations In addition to estrogen and progesterone receptors and human epidermal growth factor receptor 2, the panel found sufficient evidence of clinical utility for the biomarker assays Oncotype DX, EndoPredict, PAM50, Breast Cancer Index, and urokinase plasminogen activator and plasminogen activator inhibitor type 1 in specific subgroups of breast cancer. No biomarker except for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 was found to guide choices of specific treatment regimens. Treatment decisions should also consider disease stage, comorbidities, and patient preferences. PMID:26858339

  15. Net Clinical Benefit of Oral Anticoagulants: A Multiple Criteria Decision Analysis

    PubMed Central

    Yang, Yea-Huei Kao; Lu, Christine Y.

    2015-01-01

    Background This study quantitatively evaluated the comparative efficacy and safety of new oral anticoagulants (dabigatran, rivaroxaban, and apizaban) and warfarin for treatment of nonvalvular atrial fibrillation. We also compared these agents under different scenarios, including population with high risk of stroke and for primary vs. secondary stroke prevention. Methods We used multiple criteria decision analysis (MCDA) to assess the benefit-risk of these medications. Our MCDA models contained criteria for benefits (prevention of ischemic stroke and systemic embolism) and risks (intracranial and extracranial bleeding). We calculated a performance score for each drug accounting for benefits and risks in comparison to treatment alternatives. Results Overall, new agents had higher performance scores than warfarin; in order of performance scores: dabigatran 150 mg (0.529), rivaroxaban (0.462), apixaban (0.426), and warfarin (0.191). For patients at a higher risk of stroke (CHADS2 score≥3), apixaban had the highest performance score (0.686); performance scores for other drugs were 0.462 for dabigatran 150 mg, 0.392 for dabigatran 110 mg, 0.271 for rivaroxaban, and 0.116 for warfarin. Dabigatran 150 mg had the highest performance score for primary stroke prevention, while dabigatran 110 mg had the highest performance score for secondary prevention. Conclusions Our results suggest that new oral anticoagulants might be preferred over warfarin. Selecting appropriate medicines according to the patient’s condition based on information from an integrated benefit-risk assessment of treatment options is crucial to achieve optimal clinical outcomes. PMID:25897861

  16. Derivation of Candidate Clinical Decision Rules to Identify Infants at Risk for Central Apnea

    PubMed Central

    Cunningham, Pádraig; Merchant, Sabrina; Walker, Nicholas; Heffner, Jacquelyn; Shanholtzer, Lucas; Rothenberg, Stephen J.

    2015-01-01

    BACKGROUND AND OBJECTIVES: Central apnea complicates, and may be the presenting complaint in, bronchiolitis. Our objective was to prospectively derive candidate clinical decision rules (CDRs) to identify infants in the emergency department (ED) who are at risk for central apnea. METHODS: We conducted a prospective observational study over 8 years. The primary outcome was central apnea subsequent to the initial ED visit. Infants were enrolled if they presented with central apnea or bronchiolitis. We excluded infants with obstructive apnea, neonatal jaundice, trauma, or suspected sepsis. We developed 3 candidate CDRs by using 3 techniques: (1) Poisson regression clustered on the individual, (2) classification and regression tree analysis (CART), and (3) a random forest (RF). RESULTS: We analyzed 990 ED visits for 892 infants. Central apnea subsequently occurred in the hospital in 41 (5%) patients. Parental report of apnea, previous history of apnea, congenital heart disease, birth weight ≤2.5 kg, lower weight, and age ≤6 weeks all identified a group at high risk for subsequent central apnea. All CDRs and RFs were 100% sensitive (95% confidence interval [CI] 91%–100%) and had a negative predictive value of 100% (95% CI 99%–100%) for the subsequent apnea. Specificity ranged from 61% to 65% (95% CI 58%–68%) for CDRs based on Poisson models; 65% to 77% (95% CI 62%–90%) for CART; and 81% to 91% (95% CI 78%–92%) for RF models. CONCLUSIONS: All candidate CDRs had a negative predictive value of 100% for subsequent central apnea. PMID:26482666

  17. Usability evaluation of a clinical decision support tool for osteoporosis disease management

    PubMed Central

    2010-01-01

    Background Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines are available, patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions and a series of focus groups were used to develop a functional multifaceted tool that can support clinical decision-making in osteoporosis disease management at the point of care. The objective of our study was to assess how well the prototype met functional goals and usability needs. Methods We conducted a usability study for each component of the tool--the Best Practice Recommendation Prompt (BestPROMPT), the Risk Assessment Questionnaire (RAQ), and the Customised Osteoporosis Education (COPE) sheet--using the framework described by Kushniruk and Patel. All studies consisted of one-on-one sessions with a moderator using a standardised worksheet. Sessions were audio- and video-taped and transcribed verbatim. Data analysis consisted of a combination of qualitative and quantitative analyses. Results In study 1, physicians liked that the BestPROMPT can provide customised recommendations based on risk factors identified from the RAQ. Barriers included lack of time to use the tool, the need to alter clinic workflow to enable point-of-care use, and that the tool may disrupt the real reason for the visit. In study 2, patients completed the RAQ in a mean of 6 minutes, 35 seconds. Of the 42 critical incidents, 60% were navigational and most occurred when the first nine participants were using the stylus pen; no critical incidents were observed with the last six participants that used the touch screen. Patients thought that the RAQ questions were easy to read and understand, but they found it difficult to initiate the questionnaire. Suggestions for improvement included improving aspects of the interface and navigation. The results of study 3 showed that most patients were able to understand and describe

  18. Assessing the feasibility and quality of shared decision making in China: evaluating a clinical encounter intervention for Chinese patients

    PubMed Central

    Huang, Rongchong; Song, Xiantao; Wu, Jian; Huang, Wei; Leppin, Aaron L; Gionfriddo, Michael R; Liu, Yongxian; Boehmer, Kasey R; Ting, Henry H; Montori, Victor M

    2016-01-01

    Background The aim of this study was to evaluate the feasibility of using the Statin Choice decision aid to have discussions about starting a statin medication for cardiovascular risk reduction in Chinese patients with stable coronary artery diseases. Methods A prospective, pilot study of the Statin Choice decision aid in two teaching hospitals in Northern China was conducted. A total of seven clinicians were enrolled and underwent a 12-hour, group-based, in-person training on shared decision making (SDM) and the Statin Choice decision aid. Then, these clinicians used the Statin Choice decision aid in patients during a clinical encounter. A total of 86 patients aged 40−80 years, who had stable angina, were enrolled. All clinical encounters were video recorded. A team of three researchers viewed and scored all the encounter recordings to evaluate the SDM process and fidelity to the intervention using the OPTION scale and Fidelity scale, respectively. All the patients were followed up for 12 months to record adherence to statin and any major adverse cardiac events (MACEs). Results The average scores on the OPTION normalized score and Fidelity scale were 21 (range, 3–32; out of a possible, 48) and 10 (range, 6–10; out of a possible, 10), respectively. This suggested that Chinese clinicians who were using Statin Choice in their patients were able to exhibit behaviors consistent with SDM at a level that is similar to that reported in Western countries. After SDM, the statin adherence was 94.5% (69/73), and the proportion of MACEs was 2.9% (2/69). Conclusion Using an encounter decision aid developed in the US, it was feasible to implement SDM in a referral cardiology practice in Mainland China. Further work to ensure that the encounter aid is pertinent to the Chinese population and that SDM is tested in at-risk patients could contribute to the implementation of SDM across Mainland China. PMID:27881912

  19. When four principles are too many: bloodgate, integrity and an action-guiding model of ethical decision making in clinical practice.

    PubMed

    Muirhead, William

    2012-04-01

    Medical ethical analysis remains dominated by the principlist account first proposed by Beauchamp and Childress. This paper argues that the principlist model is unreflective of how ethical decisions are taken in clinical practice. Two kinds of medical ethical decisions are distinguished: biosocial ethics and clinical ethics. It is argued that principlism is an inappropriate model for clinical ethics as it is neither sufficiently action-guiding nor does it emphasise the professional integrity of the clinician. An alternative model is proposed for decision making in the realm of clinical ethics.

  20. Advanced primary pulmonary lymphoepithelioma-like carcinoma: clinical manifestations, treatment, and outcome

    PubMed Central

    Lin, Chun-Yu; Chen, Ying-Jen; Hsieh, Meng-Heng; Wang, Chih-Wei

    2017-01-01

    Background Primary pulmonary lymphoepithelioma-like carcinoma (LELC) is rare, with better clinical outcomes than other lung cancers. However, reports on advanced LELC characteristics and prognosis are lacking. Methods This retrospective study included adults diagnosed with advanced LELC (at least stage IIIA) between January 2003 and December 2015. Clinical characteristics, treatment modalities, and outcomes were recorded. Results Study population comprised 23 patients with a mean age of 63.7±10.6 years. The Eastern Cooperative Oncology Group status on diagnosis was 0 in five patients and 1 in the others. Most patients received multimodality treatment and all received cisplatin-based chemotherapy. Median follow-up duration was 28.8 months. The median progression free survival (PFS) was 14.6 months in patients received palliative chemotherapy. There were nine (39.1%) deaths. The median overall survival (OS) was not achieved. Until July 31, 2016, median OS was 54.1 months for stage IIIB and 27.6 months for stage IV. There was no significant difference in OS among all stages. No prognostic factors were found. Conclusions Advanced LELC responded well to cisplatin-based chemotherapy and/or radiotherapy. Main tumor resection is probably beneficial for advanced LELC. Long-term survival is possible for advanced LELC after multimodality treatment. PMID:28203414