Knowledge base and sensor bus messaging service architecture for critical tsunami warning and decision-support

NASA Astrophysics Data System (ADS)

Sabeur, Z. A.; Wächter, J.; Middleton, S. E.; Zlatev, Z.; Häner, R.; Hammitzsch, M.; Loewe, P.

2012-04-01

The intelligent management of large volumes of environmental monitoring data for early tsunami warning requires the deployment of robust and scalable service oriented infrastructure that is supported by an agile knowledge-base for critical decision-support In the TRIDEC project (TRIDEC 2010-2013), a sensor observation service bus of the TRIDEC system is being developed for the advancement of complex tsunami event processing and management. Further, a dedicated TRIDEC system knowledge-base is being implemented to enable on-demand access to semantically rich OGC SWE compliant hydrodynamic observations and operationally oriented meta-information to multiple subscribers. TRIDEC decision support requires a scalable and agile real-time processing architecture which enables fast response to evolving subscribers requirements as the tsunami crisis develops. This is also achieved with the support of intelligent processing services which specialise in multi-level fusion methods with relevance feedback and deep learning. The TRIDEC knowledge base development work coupled with that of the generic sensor bus platform shall be presented to demonstrate advanced decision-support with situation awareness in context of tsunami early warning and crisis management.

Willingness to complete advance directives among low-income older adults living in the USA.

PubMed

Ko, Eunjeong; Lee, Jaehoon; Hong, Youngjoon

2016-11-01

This study explored low-income older adults' willingness to (i) complete advance directives, legal documents, whereby an individual designates decision-makers in the event that they cannot make their own decisions about end-of-life treatment preferences, and (ii) the role of social support and other predictors that impact their willingness. This study was conducted as part of a larger study exploring behaviours of advance care planning among low-income older adults. Out of a total of 255 participants from the original study, this study included 204 participants who did not complete an advance directive for data analysis. A cross-sectional study using probability random sampling stratified by ethnicity was used. Older adults residing in two supportive housing facilities or who were members of a senior centre in San Diego, California, USA, were interviewed in person between December 2010 and April 2011. Hierarchical logistic regression analysis revealed that the majority of participants (72.1%) were willing to complete advance directives and the factors significantly predicting willingness to complete included self-rated health, attitudes towards advance decision-making and social support. Participants with a poorer health status (OR = 1.43, 95% CI = 1.07-1.90) were more willing to complete advance directives. Conversely, participants with higher positive attitudes (OR = 1.18, 95% CI = 1.00-1.39) and greater social support (OR = 1.07, 95% CI = 1.00-1.15) were also more willing to complete advance directives. The findings suggest the importance of ongoing support from healthcare professionals in end-of-life care planning. Healthcare professionals can be a source of support assisting older adults in planning end-of-life care. Initiating ongoing communication regarding personal value and preference for end-of-life care, providing relevant information and evaluating willingness to complete as well as assisting in the actual completion of advance directives will be necessary. © 2015 John Wiley & Sons Ltd.

Middle Mississippi River decision support system: user's manual

USGS Publications Warehouse

Rohweder, Jason J.; Zigler, Steven J.; Fox, Timothy J.; Hulse, Steven N.

2005-01-01

This user's manual describes the Middle Mississippi River Decision Support System (MMRDSS) and gives detailed examples on its use. The MMRDSS provides a framework to assist decision makers regarding natural resource issues in the Middle Mississippi River floodplain. The MMRDSS is designed to provide users with a spatially explicit tool for tasks, such as inventorying existing knowledge, developing models to investigate the potential effects of management decisions, generating hypotheses to advance scientific understanding, and developing scientifically defensible studies and monitoring. The MMRDSS also includes advanced tools to assist users in evaluating differences in complexity, connectivity, and structure of aquatic habitats among river reaches. The Environmental Systems Research Institute ArcView 3.x platform was used to create and package the data and tools of the MMRDSS.

The ideas about advanced life support and affecting factors at the end-stage of life in a hospital in Turkey

PubMed Central

Albayrak, Turgay; Şencan, İrfan; Akça, Ömer; Aksoy, Hilal; Ünsal, Selim; Bülbül, İskender; Bahadır, Adem; Kasım, İsmail; Kahveci, Rabia; Özkara, Adem

2017-01-01

Background The participation of the people in health decisions may be structured in various levels. One of these is participation in decisions for the treatment. “Advanced directives” is one of the examples for the participation in decisions for the treatment. Aim We wanted to determine the decisions on advanced life support at the end-stage of life in case of a life-threatening illness for the people themselves and their first degree relatives and the factors effecting these decisions. Design and setting The cross-sectional study was conducted with volunteers among patients and patient relatives who applied to all polyclinics of the Ankara Numune Training and Research Hospital except the emergency, oncology and psychiatry polyclinics between 15.12.2012 and 15.03.2013. Method A questionnaire, the Hospital Anxiety Depression (HAD) scale, and Templer’s Death Anxiety Scale (TDA) were applied to all individuals. SPSS for Win. Ver. 17.0 and MS-Excel 2010 Starter software bundles were used for all statistical analysis and calculations. Results The participants want both themselves and their first degree relatives included in end-stage decision-making process. Therefore, the patients and their families should be informed adequately during decision making process and quality communication must be provided. Conclusion Participants who have given their end-stage decisions previously want to be treated according to these decisions. This desire can just be possible by advanced directives.When moral and material loads of end-stage process are taken into consideration, countries, in which advanced directives are practiced, should be examined well and participants’ desire should be evaluated in terms of practicability. PMID:28732071

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...

Strategic analytics: towards fully embedding evidence in healthcare decision-making.

PubMed

Garay, Jason; Cartagena, Rosario; Esensoy, Ali Vahit; Handa, Kiren; Kane, Eli; Kaw, Neal; Sadat, Somayeh

2015-01-01

Cancer Care Ontario (CCO) has implemented multiple information technology solutions and collected health-system data to support its programs. There is now an opportunity to leverage these data and perform advanced end-to-end analytics that inform decisions around improving health-system performance. In 2014, CCO engaged in an extensive assessment of its current data capacity and capability, with the intent to drive increased use of data for evidence-based decision-making. The breadth and volume of data at CCO uniquely places the organization to contribute to not only system-wide operational reporting, but more advanced modelling of current and future state system management and planning. In 2012, CCO established a strategic analytics practice to assist the agency's programs contextualize and inform key business decisions and to provide support through innovative predictive analytics solutions. This paper describes the organizational structure, services and supporting operations that have enabled progress to date, and discusses the next steps towards the vision of embedding evidence fully into healthcare decision-making. Copyright © 2014 Longwoods Publishing.

Fire science application and integration in support of decision making

Treesearch

Tom Zimmerman

2011-01-01

Wildland fire management in the United States has historically been a challenging and complex program governed by a multitude of factors including situational status, objectives, operational capability, science and technology, and changes and advances in all these factors. The improvement and advancement of risk-informed decision making has the potential to improve...

A Web-Based Treatment Decision Support Tool for Patients With Advanced Knee Arthritis: Evaluation of User Interface and Content Design

PubMed Central

Zheng, Hua; Rosal, Milagros C; Li, Wenjun; Borg, Amy; Yang, Wenyun; Ayers, David C

2018-01-01

Background Data-driven surgical decisions will ensure proper use and timing of surgical care. We developed a Web-based patient-centered treatment decision and assessment tool to guide treatment decisions among patients with advanced knee osteoarthritis who are considering total knee replacement surgery. Objective The aim of this study was to examine user experience and acceptance of the Web-based treatment decision support tool among older adults. Methods User-centered formative and summative evaluations were conducted for the tool. A sample of 28 patients who were considering total knee replacement participated in the study. Participants’ responses to the user interface design, the clarity of information, as well as usefulness, satisfaction, and acceptance of the tool were collected through qualitative (ie, individual patient interviews) and quantitative (ie, standardized Computer System Usability Questionnaire) methods. Results Participants were older adults with a mean age of 63 (SD 11) years. Three-quarters of them had no technical questions using the tool. User interface design recommendations included larger fonts, bigger buttons, less colors, simpler navigation without extra “next page” click, less mouse movement, and clearer illustrations with simple graphs. Color-coded bar charts and outcome-specific graphs with positive action were easiest for them to understand the outcomes data. Questionnaire data revealed high satisfaction with the tool usefulness and interface quality, and also showed ease of use of the tool, regardless of age or educational status. Conclusions We evaluated the usability of a patient-centered decision support tool designed for advanced knee arthritis patients to facilitate their knee osteoarthritis treatment decision making. The lessons learned can inform other decision support tools to improve interface and content design for older patients’ use. PMID:29712620

75 FR 6689 - Sustainable Communities Planning Grant Program Advance Notice and Request for Comment

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-10

... greater and more broad-based support of community development and investment decisions. However, these... and to expand opportunities for stakeholders to engage in decision-making, HUD is seeking comments on... its partners to better understand how this Program can support cooperative regional planning efforts...

A decision support tool for vehicle infrastructure integration : understanding information effects and advancing data fusion algorithms for traffic management applications.

DOT National Transportation Integrated Search

2009-10-15

This research seeks to explore vehicle-to-vehicle information networks to understand the interplay : between the information communicated and traffic conditions on the network. A longer-term goal is to : develop a decision support tool for processing...

Hong Kong Chinese teachers' attitudes towards life-sustaining treatment in the dying patients.

PubMed

Lee, J C Y; Chen, P P; Yeo, J K S; So, H Y

2003-06-01

To evaluate the attitudes of Hong Kong Chinese teachers towards life-sustaining treatment in the dying patients. Prospective structured questionnaire survey. Hong Kong Institute of Education. All teaching staff at the Hong Kong Institute of Education were sent the survey questionnaire. The questionnaire gathered demographic data, information on experience of 'life and death' decision-making, and views on life-sustaining treatment decisions. Respondents were also requested to respond to statements on life-sustaining treatment using a 5-point Likert Scale (1 representing strong disagreement and 5 representing strong agreement). A total of 436 questionnaires were sent to teaching staff at the Hong Kong Institute of Education. The response rate was 27.8%. More than half (65.8%) of the respondents were aged between 30 and 49 years. There was an equal proportion of men and women among respondents. The respondents agreed with statements supporting end-of-life decisions (mean aggregate score, 3.13; standard deviation, 1.24; P<0.0001), and disagreed with statements against such decisions (mean aggregate score, 2.81; standard deviation, 1.22; P<0.0001). If the patient is competent, half of the respondents agreed that the patient alone should make the decision, while 27.2% believed that it should be a joint decision made by the patient, the family, and the doctor. Conversely, if the patient is incompetent, 52.6% agreed that it should be a joint decision made by the family and the doctor. There was strong support for advanced directives, whereby decisions in relation to life-sustaining treatment were legally recorded in advance (mean score, 3.62; P=0.0001). The teachers in this survey appear to support the practice of withdrawing and withholding life-sustaining treatment in the dying patients when medical treatment is considered futile. Although patient autonomy in decision-making was supported by the greatest number of respondents, joint decision-making by the patient, family members, and doctors was also favoured by a substantial group. There was strong support for the use of advanced directives with respect to life-sustaining treatment.

Toward patient-centered, personalized and personal decision support and knowledge management: a survey.

PubMed

Leong, T-Y

2012-01-01

This paper summarizes the recent trends and highlights the challenges and opportunities in decision support and knowledge management for patient-centered, personalized, and personal health care. The discussions are based on a broad survey of related references, focusing on the most recent publications. Major advances are examined in the areas of i) shared decision making paradigms, ii) continuity of care infrastructures and architectures, iii) human factors and system design approaches, iv) knowledge management innovations, and v) practical deployment and change considerations. Many important initiatives, projects, and plans with promising results have been identified. The common themes focus on supporting the individual patients who are playing an increasing central role in their own care decision processes. New collaborative decision making paradigms and information infrastructures are required to ensure effective continuity of care. Human factors and usability are crucial for the successful development and deployment of the relevant systems, tools, and aids. Advances in personalized medicine can be achieved through integrating genomic, phenotypic and other biological, individual, and population level information, and gaining useful insights from building and analyzing biological and other models at multiple levels of abstraction. Therefore, new Information and Communication Technologies and evaluation approaches are needed to effectively manage the scale and complexity of biomedical and health information, and adapt to the changing nature of clinical decision support. Recent research in decision support and knowledge management combines heterogeneous information and personal data to provide cost-effective, calibrated, personalized support in shared decision making at the point of care. Current and emerging efforts concentrate on developing or extending conventional paradigms, techniques, systems, and architectures for the new predictive, preemptive, and participatory health care model for patient-centered, personalized medicine. There is also an increasing emphasis on managing complexity with changing care models, processes, and settings.

Virtual Beach: Decision Support Tools for Beach Pathogen Prediction

EPA Science Inventory

The Virtual Beach Managers Tool (VB) is decision-making software developed to help local beach managers make decisions as to when beaches should be closed due to predicted high levels of water borne pathogens. The tool is being developed under the umbrella of EPA's Advanced Monit...

A Web-Based Treatment Decision Support Tool for Patients With Advanced Knee Arthritis: Evaluation of User Interface and Content Design.

PubMed

Zheng, Hua; Rosal, Milagros C; Li, Wenjun; Borg, Amy; Yang, Wenyun; Ayers, David C; Franklin, Patricia D

2018-04-30

Data-driven surgical decisions will ensure proper use and timing of surgical care. We developed a Web-based patient-centered treatment decision and assessment tool to guide treatment decisions among patients with advanced knee osteoarthritis who are considering total knee replacement surgery. The aim of this study was to examine user experience and acceptance of the Web-based treatment decision support tool among older adults. User-centered formative and summative evaluations were conducted for the tool. A sample of 28 patients who were considering total knee replacement participated in the study. Participants' responses to the user interface design, the clarity of information, as well as usefulness, satisfaction, and acceptance of the tool were collected through qualitative (ie, individual patient interviews) and quantitative (ie, standardized Computer System Usability Questionnaire) methods. Participants were older adults with a mean age of 63 (SD 11) years. Three-quarters of them had no technical questions using the tool. User interface design recommendations included larger fonts, bigger buttons, less colors, simpler navigation without extra "next page" click, less mouse movement, and clearer illustrations with simple graphs. Color-coded bar charts and outcome-specific graphs with positive action were easiest for them to understand the outcomes data. Questionnaire data revealed high satisfaction with the tool usefulness and interface quality, and also showed ease of use of the tool, regardless of age or educational status. We evaluated the usability of a patient-centered decision support tool designed for advanced knee arthritis patients to facilitate their knee osteoarthritis treatment decision making. The lessons learned can inform other decision support tools to improve interface and content design for older patients' use. ©Hua Zheng, Milagros C Rosal, Wenjun Li, Amy Borg, Wenyun Yang, David C Ayers, Patricia D Franklin. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 30.04.2018.

Complex Care Options for Patients With Advanced Heart Failure Approaching End of Life.

PubMed

Wordingham, Sara E; McIlvennan, Colleen K; Dionne-Odom, J Nicholas; Swetz, Keith M

2016-02-01

Care for patients with advanced cardiac disease continues to evolve in a complex milieu of therapeutic options, advanced technological interventions, and efforts at improving patient-centered care and shared decision-making. Despite improvements in quality of life and survival with these interventions, optimal supportive care across the advanced illness trajectory remains diverse and heterogeneous. Herein, we outline challenges in prognostication, communication, and caregiving in advanced heart failure and review the unique needs of patients who experience frequent hospitalizations, require chronic home inotropic support, and who have implantable cardioverter-defibrillators and mechanical circulatory support in situ, to name a few.

Towards Improving Educational Decisions by Utilizing Interdisciplinary Research

ERIC Educational Resources Information Center

Klein, Joseph

2014-01-01

Recent neurophysiological advances may support the advisability of delaying decisions when possible and practical. An empirical study, based on an educational dilemma, compared the outcome of postponing an educational decision overnight or for a longer period. 340 teachers read a report on an educational dilemma and gave an immediate opinion.…

Decision Trajectories in Dementia Care Networks: Decisions and Related Key Events.

PubMed

Groen-van de Ven, Leontine; Smits, Carolien; Oldewarris, Karen; Span, Marijke; Jukema, Jan; Eefsting, Jan; Vernooij-Dassen, Myrra

2017-10-01

This prospective multiperspective study provides insight into the decision trajectories of people with dementia by studying the decisions made and related key events. This study includes three waves of interviews, conducted between July 2010 and July 2012, with 113 purposefully selected respondents (people with beginning to advanced stages of dementia and their informal and professional caregivers) completed in 12 months (285 interviews). Our multilayered qualitative analysis consists of content analysis, timeline methods, and constant comparison. Four decision themes emerged-managing daily life, arranging support, community living, and preparing for the future. Eight key events delineate the decision trajectories of people with dementia. Decisions and key events differ between people with dementia living alone and living with a caregiver. Our study clarifies that decisions relate not only to the disease but to living with the dementia. Individual differences in decision content and sequence may effect shared decision-making and advance care planning.

Development of interim oak assessment guidelines for the silvah decision-support system

Treesearch

Patrick H. Brose

2007-01-01

Updates to the SILVAH decision-support system make it more applicable to the mixed oak forests of Pennsylvania and other mid-Atlantic states. This update required establishing interim inventory guidelines for assessing the competitive ability of advance oak regeneration. This assessment was complicated by oak’s growth strategy, emphasizing root development in lieu of...

Using Video Images to Improve the Accuracy of Surrogate Decision-Making: A Randomized Controlled Trial

PubMed Central

Volandes, Angelo E.; Mitchell, Susan L.; Gillick, Muriel R.; Chang, Yuchiao; Paasche-Orlow, Michael K.

2009-01-01

Introduction When patients are unable to make important end-of-life decisions, doctors ask surrogate decision makers to provide insight into patients’ preferences. Unfortunately, multiple studies have shown that surrogates’ knowledge of patient preferences is poor. We hypothesized that a video decision tool would improve concordance between patients and their surrogates for end-of-life preferences. Objective To compare the concordance of preferences among elderly patients and their surrogates listening to only a verbal description of advanced dementia or viewing a video decision support tool of the disease after hearing the verbal description. Methods This was a randomized controlled trial of a convenience sample of community-dwelling elderly subjects (≥65 years) and their surrogates, and was conducted at 2 geriatric clinics affiliated with 2 academic medical centers in Boston. The study was conducted between September 1, 2007, and May 30, 2008. Random assignment of patient and surrogate dyads was to either a verbal narrative or a video decision support tool after the verbal narrative. End points were goals of care chosen by the patient and predicted goals of care by the surrogate. Goals of care included life-prolonging care (CPR, mechanical ventilation), limited care (hospitalization, antibiotics, but not CPR), and comfort care (only treatment to relieve symptoms). The primary outcome measure was the concordance rate of preferences between patients and their surrogates. Results A total of 14 pairs of patients and their surrogates were randomized to verbal narrative (n = 6) or video after verbal narrative (n = 8). Among the 6 patients receiving only the verbal narrative, 3 (50%) preferred comfort care, 1 (17%) chose limited care, and 2 (33%) desired life-prolonging care. Among the surrogates for these patients, only 2 correctly chose what their loved one would want if in a state of advanced dementia, yielding a concordance rate of 33%. Among the 8 patients receiving the video decision support tool, all 8 chose comfort care. Among the surrogates for these patients, all 8 correctly chose what their loved one would want if in a state of advanced dementia, yielding a concordance rate of 100%. Conclusion Patients and surrogates viewing a video decision support tool for advanced dementia are more likely to concur about the patient’s end-of-life preferences than when solely listening to a verbal description of the disease. PMID:19808156

E-Health towards ecumenical framework for personalized medicine via Decision Support System.

PubMed

Kouris, Ioannis; Tsirmpas, Charalampos; Mougiakakou, Stavroula G; Iliopoulou, Dimitra; Koutsouris, Dimitris

2010-01-01

The purpose of the present manuscript is to present the advances performed in medicine using a Personalized Decision Support System (PDSS). The models used in Decision Support Systems (DSS) are examined in combination with Genome Information and Biomarkers to produce personalized result for each individual. The concept of personalize medicine is described in depth and application of PDSS for Cardiovascular Diseases (CVD) and Type-1 Diabetes Mellitus (T1DM) are analyzed. Parameters extracted from genes, biomarkers, nutrition habits, lifestyle and biological measurements feed DSSs, incorporating Artificial Intelligence Modules (AIM), to provide personalized advice, medication and treatment.

An engineering approach to modelling, decision support and control for sustainable systems.

PubMed

Day, W; Audsley, E; Frost, A R

2008-02-12

Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability-all essential to sustainable systems.

Agent-Centric Approach for Cybersecurity Decision-Support with Partial Observability

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

Tipireddy, Ramakrishna; Chatterjee, Samrat; Paulson, Patrick R.

Generating automated cyber resilience policies for real-world settings is a challenging research problem that must account for uncertainties in system state over time and dynamics between attackers and defenders. In addition to understanding attacker and defender motives and tools, and identifying “relevant” system and attack data, it is also critical to develop rigorous mathematical formulations representing the defender’s decision-support problem under uncertainty. Game-theoretic approaches involving cyber resource allocation optimization with Markov decision processes (MDP) have been previously proposed in the literature. Moreover, advancements in reinforcement learning approaches have motivated the development of partially observable stochastic games (POSGs) in various multi-agentmore » problem domains with partial information. Recent advances in cyber-system state space modeling have also generated interest in potential applicability of POSGs for cybersecurity. However, as is the case in strategic card games such as poker, research challenges using game-theoretic approaches for practical cyber defense applications include: 1) solving for equilibrium and designing efficient algorithms for large-scale, general problems; 2) establishing mathematical guarantees that equilibrium exists; 3) handling possible existence of multiple equilibria; and 4) exploitation of opponent weaknesses. Inspired by advances in solving strategic card games while acknowledging practical challenges associated with the use of game-theoretic approaches in cyber settings, this paper proposes an agent-centric approach for cybersecurity decision-support with partial system state observability.« less

Bi-Level Decision Making for Supporting Energy and Water Nexus

NASA Astrophysics Data System (ADS)

Zhang, X.; Vesselinov, V. V.

2016-12-01

The inseparable relationship between energy production and water resources has led to the emerging energy-water nexus concept, which provides a means for integrated management and decision making of these two critical resources. However, the energy-water nexus frequently involves decision makers with different and competing management objectives. Furthermore, there is a challenge that decision makers and stakeholders might be making decisions sequentially from a higher level to a lower level, instead of at the same decision level, whereby the objective of a decision maker at a higher level should be satisfied first. In this study, a bi-level decision model is advanced to handle such decision-making situations for managing the energy-water nexus. The work represents a unique contribution to developing an integrated decision-support framework/tool to quantify and analyze the tradeoffs between the two-level energy-water nexus decision makers. Here, plans for electricity generation, fuel supply, water supply, capacity expansion of the power plants and environmental impacts are optimized to provide effective decision support. The developed decision-support framework is implemented in Julia (a high-level, high-performance dynamic programming language for technical computing) and is a part of the MADS (Model Analyses & Decision Support) framework (http://mads.lanl.gov). To demonstrate the capabilities of the developed methodology, a series of analyses are performed for synthetic problems consistent with actual real-world energy-water nexus management problems.

Pay Equity in Academe: The Community College Role.

ERIC Educational Resources Information Center

Luna, Gaye

1989-01-01

Reviews legislation and court decisions advancing wage and job equity for minorities and women in academic settings. Discusses provisions of the Equal Pay Act and Title VII, legal precedents for pay equity, and recent court decisions supporting voluntary affirmative action plans. (DMM)

Development of a video-based education and process change intervention to improve advance cardiopulmonary resuscitation decision-making.

PubMed

Waldron, Nicholas; Johnson, Claire E; Saul, Peter; Waldron, Heidi; Chong, Jeffrey C; Hill, Anne-Marie; Hayes, Barbara

2016-10-06

Advance cardiopulmonary resuscitation (CPR) decision-making and escalation of care discussions are variable in routine clinical practice. We aimed to explore physician barriers to advance CPR decision-making in an inpatient hospital setting and develop a pragmatic intervention to support clinicians to undertake and document routine advance care planning discussions. Two focus groups, which involved eight consultants and ten junior doctors, were conducted following a review of the current literature. A subsequent iterative consensus process developed two intervention elements: (i) an updated 'Goals of Patient Care' (GOPC) form and process; (ii) an education video and resources for teaching advance CPR decision-making and communication. A multidisciplinary group of health professionals and policy-makers with experience in systems development, education and research provided critical feedback. Three key themes emerged from the focus groups and the literature, which identified a structure for the intervention: (i) knowing what to say; (ii) knowing how to say it; (iii) wanting to say it. The themes informed the development of a video to provide education about advance CPR decision-making framework, improving communication and contextualising relevant clinical issues. Critical feedback assisted in refining the video and further guided development and evolution of a medical GOPC approach to discussing and recording medical treatment and advance care plans. Through an iterative process of consultation and review, video-based education and an expanded GOPC form and approach were developed to address physician and systemic barriers to advance CPR decision-making and documentation. Implementation and evaluation across hospital settings is required to examine utility and determine effect on quality of care.

FUDS Military Munitions Response Program

DTIC Science & Technology

2010-06-01

supporting decision rules - Phytoremediation of Arsenic -Advanced EMI and Multi-component Sensors (4 types) -Advanced Anomaly Classifications (4 types...Culebra, PR  Frankford Arsenal , PA  Orlando Range and Chemical Yard, FL  Pinecastle Jeep Range, FL  Spring Valley, DC  Waikoloa Maneuver

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.

A Method for Making Cross-Comparable Estimates of the Benefits of Decision Support Technologies for Air Traffic Management

NASA Technical Reports Server (NTRS)

Lee, David; Long, Dou; Etheridge, Mel; Plugge, Joana; Johnson, Jesse; Kostiuk, Peter

1998-01-01

We present a general method for making cross comparable estimates of the benefits of NASA-developed decision support technologies for air traffic management, and we apply a specific implementation of the method to estimate benefits of three decision support tools (DSTs) under development in NASA's advanced Air Transportation Technologies Program: Active Final Approach Spacing Tool (A-FAST), Expedite Departure Path (EDP), and Conflict Probe and Trial Planning Tool (CPTP). The report also reviews data about the present operation of the national airspace system (NAS) to identify opportunities for DST's to reduce delays and inefficiencies.

Advanced Economic Analysis

NASA Technical Reports Server (NTRS)

Greenberg, Marc W.; Laing, William

2013-01-01

An Economic Analysis (EA) is a systematic approach to the problem of choosing the best method of allocating scarce resources to achieve a given objective. An EA helps guide decisions on the "worth" of pursuing an action that departs from status quo ... an EA is the crux of decision-support.

Treatment decision-making processes in the systemic treatment of ovarian cancer: review of the scientific evidence.

PubMed

Luketina, Hrvoje; Fotopoulou, Christina; Luketina, Ruzica-Rosalia; Pilger, Adak; Sehouli, Jalid

2012-09-01

The systemic treatment of epithelial ovarian cancer (OC) is one of the cornerstones in the multimodal management of advanced OC in both primary and recurrent stages of this disease. In most situations various treatment options are available but only few data exists about the treatment decision-making process. Therefore, we conducted a review of the current literature regarding the decision-making process concerning the systemic therapy in patients with advanced ovarian cancer. The electronic database MEDLINE (PubMed) was systematically reviewed for studies that evaluate the treatment decision-making processes in patients with advanced OC. The PubMed database was searched in detail for all titles and abstracts of potentially relevant studies published between 1995 and 2011. An initial search identified 15 potentially relevant studies, but only seven met all inclusion criteria. Factors that influence treatment decisions in patients with OC include not only rational arguments and medical reasons, but also individual attitudes, fears, existential questions, various projections resulting from the physician patient relationship and the social environment. The physician's personal experience with OC treatment seems to be an important factor, followed by previous personal experience with medical issues, and the fear of side-effects and future metastases. Family and self-support organisations also seem to play a significant role in the treatment decision-making process. This review underlines the need for more research activities to explore the treatment decision-making process to enable the best individual support for patients in treatment decision-making. It is a challenge for clinicians to determine the individual information needs of women with OC and to involve them during the decision-making process to the extent they wish.

New technology continues to invade healthcare. What are the strategic implications/outcomes?

PubMed

Smith, Coy

2004-01-01

Healthcare technology continues to advance and be implemented in healthcare organizations. Nurse executives must strategically evaluate the effectiveness of each proposed system or device using a strategic planning process. Clinical information systems, computer-chip-based clinical monitoring devices, advanced Web-based applications with remote, wireless communication devices, clinical decision support software--all compete for capital and registered nurse salary dollars. The concept of clinical transformation is developed with new models of care delivery being supported by technology rather than driving care delivery. Senior nursing leadership's role in clinical transformation and healthcare technology implementation is developed. Proposed standards, expert group action, business and consumer groups, and legislation are reviewed as strategic drivers in the development of an electronic health record and healthcare technology. A matrix of advancing technology and strategic decision-making parameters are outlined.

Integrative sensing and prediction of urban water for sustainable cities (iSPUW)

NASA Astrophysics Data System (ADS)

Seo, D. J.; Fang, N. Z.; Yu, X.; Zink, M.; Gao, J.; Kerkez, B.

2014-12-01

We describe a newly launched project in the Dallas-Fort Worth Metroplex (DFW) area to develop a cyber-physical prototype system that integrates advanced sensing, modeling and prediction of urban water, to support its early adoption by a spectrum of users and stakeholders, and to educate a new generation of future sustainability scientists and engineers. The project utilizes the very high-resolution precipitation and other sensing capabilities uniquely available in DFW as well as crowdsourcing and cloud computing to advance understanding of the urban water cycle and to improve urban sustainability from transient shocks of heavy-to-extreme precipitation under climate change and urbanization. All available water information from observations and models will be fused objectively via advanced data assimilation to produce the best estimate of the state of the uncertain system. Modeling, prediction and decision support tools will be developed in the ensemble framework to increase the information content of the analysis and prediction and to support risk-based decision making.

Improving Exposure Science and Dose Metrics for Toxicity Testing, Screening, Prioritizing, and Risk Assessment

EPA Science Inventory

Advance the characterization of exposure and dose metrics required to translate advances and findings in computational toxicology to information that can be directly used to support exposure and risk assessment for decision making and improved public health.

A theory-based decision aid for patients with cancer: results of feasibility and acceptability testing of DecisionKEYS for cancer.

PubMed

Hollen, Patricia J; Gralla, Richard J; Jones, Randy A; Thomas, Christopher Y; Brenin, David R; Weiss, Geoffrey R; Schroen, Anneke T; Petroni, Gina R

2013-03-01

Appropriate utilization of treatment is a goal for all patients undergoing cancer treatment. Proper treatment maximizes benefit and limits exposure to unnecessary measures. This report describes findings of the feasibility and acceptability of implementing a short, clinic-based decision aid and presents an in-depth clinical profile of the participants. This descriptive study used a prospective, quantitative approach to obtain the feasibility and acceptability of a decision aid (DecisionKEYS for Balancing Choices) for use in clinical settings. It combined results of trials of patients with three different common malignancies. All groups used the same decision aid series. Participants included 80 patients with solid tumors (22 with newly diagnosed breast cancer, 19 with advanced prostate cancer, and 39 with advanced lung cancer) and their 80 supporters as well as their physicians and nurses, for a total of 160 participants and 10 health professionals. The decision aid was highly acceptable to patient and supporter participants in all diagnostic groups. It was feasible for use in clinic settings; the overall value was rated highly. Of six physicians, all found the interactive format with the help of the nurse as feasible and acceptable. Nurses also rated the decision aid favorably. This intervention provides the opportunity to enhance decision making about cancer treatment and warrants further study including larger and more diverse groups. Strengths of the study included a theoretical grounding, feasibility testing of a practical clinic-based intervention, and summative evaluation of acceptability of the intervention by patient and supporter pairs. Further research also is needed to test the effectiveness of the decision aid in diverse clinical settings and to determine if this intervention can decrease overall costs.

Thinking outside the box: prenatal care and the call for a prenatal advance directive.

PubMed

Catlin, Anita

2005-01-01

The concept of advance directives is well-known in the care of adults as a mechanism for choosing in advance the extent of medical interventions desired in clinical situations, particularly life-extending interventions such as ventilation support and drugs to maintain cardiopulmonary status. Infants born extremely prematurely often require life-supporting measures for which their parents or guardians report feeling unprepared to make decisions about. Current prenatal care does not include an educational component that teaches women about the length of gestation needed for a healthy viability, survivorship, and outcome without major impairment. Women who go into preterm labor are asked to make immediate decisions during times of crisis without any formal education base for this decision making. Feminist ethics (the philosophical stance that articulates that women's moral experience is worthy of respect and disallows women's subordination) (Becker LB, Becker CB, eds. Feminist ethics. In: Encyclopedia of Ethics. New York: Routledge Press; 2001) requires that healthcare decisions be based on education, context, and particular situations. The purpose of this article is to examine the current content of typical prenatal care and education and to suggest an additional educational component to prenatal care-education of women about infant viability and the planning of future decisions if a nonviable or critically ill newborn is delivered. A prenatal discussion and parental/family directive is suggested.

Framing of Uncertainty in Scientific Publications: Towards Recommendations for Decision Support

NASA Astrophysics Data System (ADS)

Guillaume, J. H. A.; Helgeson, C.; Elsawah, S.; Jakeman, A. J.; Kummu, M.

2016-12-01

Uncertainty is recognised as an essential issue in environmental decision making and decision support. As modellers, we notably use a variety of tools and techniques within an analysis, for example related to uncertainty quantification and model validation. We also address uncertainty by how we present results. For example, experienced modellers are careful to distinguish robust conclusions from those that need further work, and the precision of quantitative results is tailored to their accuracy. In doing so, the modeller frames how uncertainty should be interpreted by their audience. This is an area which extends beyond modelling to fields such as philosophy of science, semantics, discourse analysis, intercultural communication and rhetoric. We propose that framing of uncertainty deserves greater attention in the context of decision support, and that there are opportunities in this area for fundamental research, synthesis and knowledge transfer, development of teaching curricula, and significant advances in managing uncertainty in decision making. This presentation reports preliminary results of a study of framing practices. Specifically, we analyse the framing of uncertainty that is visible in the abstracts from a corpus of scientific articles. We do this through textual analysis of the content and structure of those abstracts. Each finding that appears in an abstract is classified according to the uncertainty framing approach used, using a classification scheme that was iteratively revised based on reflection and comparison amongst three coders. This analysis indicates how frequently the different framing approaches are used, and provides initial insights into relationships between frames, how the frames relate to interpretation of uncertainty, and how rhetorical devices are used by modellers to communicate uncertainty in their work. We propose initial hypotheses for how the resulting insights might influence decision support, and help advance decision making to better address uncertainty.

Clinical Decision Support in Electronic Prescribing: Recommendations and an Action Plan

PubMed Central

Teich, Jonathan M.; Osheroff, Jerome A.; Pifer, Eric A.; Sittig, Dean F.; Jenders, Robert A.

2005-01-01

Clinical decision support (CDS) in electronic prescribing (eRx) systems can improve the safety, quality, efficiency, and cost-effectiveness of care. However, at present, these potential benefits have not been fully realized. In this consensus white paper, we set forth recommendations and action plans in three critical domains: (1) advances in system capabilities, including basic and advanced sets of CDS interventions and knowledge, supporting database elements, operational features to improve usability and measure performance, and management and governance structures; (2) uniform standards, vocabularies, and centralized knowledge structures and services that could reduce rework by vendors and care providers, improve dissemination of well-constructed CDS interventions, promote generally applicable research in CDS methods, and accelerate the movement of new medical knowledge from research to practice; and (3) appropriate financial and legal incentives to promote adoption. PMID:15802474

Advanced Satellite Workstation - An integrated workstation environment for operational support of satellite system planning and analysis

NASA Astrophysics Data System (ADS)

Hamilton, Marvin J.; Sutton, Stewart A.

A prototype integrated environment, the Advanced Satellite Workstation (ASW), which was developed and delivered for evaluation and operator feedback in an operational satellite control center, is described. The current ASW hardware consists of a Sun Workstation and Macintosh II Workstation connected via an ethernet Network Hardware and Software, Laser Disk System, Optical Storage System, and Telemetry Data File Interface. The central objective of ASW is to provide an intelligent decision support and training environment for operator/analysis of complex systems such as satellites. Compared to the many recent workstation implementations that incorporate graphical telemetry displays and expert systems, ASW provides a considerably broader look at intelligent, integrated environments for decision support, based on the premise that the central features of such an environment are intelligent data access and integrated toolsets.

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.

Preferences and concerns for care needs in advanced Parkinson's disease: a qualitative study of couples.

PubMed

Habermann, Barbara; Shin, Ju Young

2017-06-01

To explore how couples with Parkinson's disease discuss their needs, concerns and preferences at the advanced stages of illness. The majority of care for people with Parkinson's disease is provided at home by family members. Parkinson's disease is characterised by a slow progressive decline with care needs often exceeding a decade. A descriptive qualitative study with 14 couples. Data were collected on two occasions over a one-month period using semi-structured interviews, with both individual and couple interviews. Data were analysed thematically by the research team. All participants discussed the strong desire to remain in their homes for as long as possible. For the people with Parkinson's disease, placement to long-term facilities was not an option to be considered. For spouses, there was an acknowledgement there may come a time when they could no longer continue to provide care. Concerns regarding falls, choking, voice production, financial strain and need for prognostic information from providers were influences on what they believed the future would hold and the decisions they would need to make. The need for improved communication between providers and Parkinson's disease couples is evident. Interventions to support the couple in their discussions and decision-making regarding remaining in the home or not, and options to support advanced care needs are required. Nurses can help support decision-making by providing tangible information regarding the advanced stages of Parkinson's disease including adequate prognostic information. © 2016 John Wiley & Sons Ltd.

Clinical decision rules for termination of resuscitation in out-of-hospital cardiac arrest.

PubMed

Sherbino, Jonathan; Keim, Samuel M; Davis, Daniel P

2010-01-01

Out-of-hospital cardiac arrest (OHCA) has a low probability of survival to hospital discharge. Four clinical decision rules (CDRs) have been validated to identify patients with no probability of survival. Three of these rules focus on exclusive prehospital basic life support care for OHCA, and two of these rules focus on prehospital advanced life support care for OHCA. Can a CDR for the termination of resuscitation identify a patient with no probability of survival in the setting of OHCA? Six validation studies were selected from a PubMed search. A structured review of each of the studies is presented. In OHCA receiving basic life support care, the BLS-TOR (basic life support termination of resuscitation) rule has a positive predictive value for death of 99.5% (95% confidence interval 98.9-99.8%), and decreases the transportation of all patients by 62.6%. This rule has been appropriately validated for widespread use. In OHCA receiving advanced life support care, no current rule has been appropriately validated for widespread use. The BLS-TOR rule is a simple rule that identifies patients who will not survive OHCA. Further research is required to identify similarly robust CDRs for patients receiving advanced life support care in the setting of OHCA. Copyright 2010 Elsevier Inc. All rights reserved.

Developing a complex intervention to support timely engagement with palliative care for patients with advanced cancer in primary and secondary care in the UK: a study protocol.

PubMed

Hackett, Julia; Bekker, Hilary; Bennett, Michael I; Carder, Paul; Gallagher, Jean; Henry, Claire; Kite, Suzanne; Taylor, Sally; Velikova, Galina; Ziegler, Lucy

2018-05-14

For patients with advanced cancer, timely access to palliative care can improve quality of life and enable patients to participate in decisions about their end-of-life care. However, in a UK population of 2500 patients who died from cancer, one-third did not receive specialist palliative care, and of those who did, the duration of involvement was too short to maximise the benefits. Initiating a conversation about palliative care is challenging for some health professionals and patients often have unmet information needs and misconceptions about palliative care. We will work closely with patients and health professionals to develop a patient decision aid and health professional training module designed to facilitate a timely and informed conversation about palliative care. This study is being conducted over 24 months from November 2017 to October 2019 and follows the UK Medical Research Council framework for developing complex interventions and the International Patient Decision Aids Guideline. The Ottawa Decision Support Framework underpins the study. The Supporting Timely Engagement with Palliative care (STEP) intervention will be developed though an iterative process informed by interviews and focus groups with patients with advanced cancer, oncologists, general practitioners and palliative care doctors. An expert panel will also review each iteration. The expert panel will consist of a patient representative with experience of palliative care, health professionals who are involved in advanced cancer care decision-making, a medical education expert and the National Council for Palliative Care director of transformation. The feasibility and acceptability of the decision aid and doctor training will be tested in oncology and general practice settings. Ethical approval for the study has been granted by the Office for Research Ethics Committees Northern Ireland (ORECNI), approval reference 17/NI/0249. Dissemination and knowledge transfer will be conducted via publications, national bodies and networks, and patient and family groups. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Advance directives lessen the decisional burden of surrogate decision-making for the chronically critically ill.

PubMed

Hickman, Ronald L; Pinto, Melissa D

2014-03-01

To identify the relationships between advance directive status, demographic characteristics and decisional burden (role stress and depressive symptoms) of surrogate decision-makers (SDMs) of patients with chronic critical illness. Although the prevalence of advance directives among Americans has increased, SDMs are ultimately responsible for complex medical decisions of the chronically critically ill patient. Decisional burden has lasting psychological effects on SDMs. There is insufficient evidence on the influence of advance directives on the decisional burden of surrogate decision-makers of patients with chronic critical illness. The study was a secondary data analysis of cross-sectional data. Data were obtained from 489 surrogate decision-makers of chronically critically ill patients at two academic medical centres in Northeast Ohio, United States, between September 2005-May 2008. Data were collected using demographic forms and questionnaires. A single-item measure of role stress and the Center for Epidemiological Studies Depression (CESD) scale were used to capture the SDM's decisional burden. Descriptive statistics, t-tests, chi-square and path analyses were performed. Surrogate decision-makers who were nonwhite, with low socioeconomic status and low education level were less likely to have advance directive documentation for their chronically critically ill patient. The presence of an advance directive mitigates the decisional burden by directly reducing the SDM's role stress and indirectly lessening the severity of depressive symptoms. Most SDMs of chronically critically ill patients will not have the benefit of knowing the patient's preferences for life-sustaining therapies and consequently be at risk of increased decisional burden. Study results are clinically useful for patient education on the influence of advance directives. Patients may be informed that SDMs without advance directives are at risk of increased decisional burden and will require decisional support to facilitate patient-centred decision-making. © 2013 John Wiley & Sons Ltd.

Advancements in Risk-Informed Performance-Based Asset Management for Commercial Nuclear Power Plants

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

Liming, James K.; Ravindra, Mayasandra K.

2006-07-01

Over the past several years, ABSG Consulting Inc. (ABS Consulting) and the South Texas Project Nuclear Operating Company (STPNOC) have developed a decision support process and associated software for risk-informed, performance-based asset management (RIPBAM) of nuclear power plant facilities. RIPBAM applies probabilistic risk assessment (PRA) tools and techniques in the realm of plant physical and financial asset management. The RIPBAM process applies a tiered set of models and supporting performance measures (or metrics) that can ultimately be applied to support decisions affecting the allocation and management of plant resources (e.g., funding, staffing, scheduling, etc.). In general, the ultimate goal ofmore » the RIPBAM process is to continually support decision-making to maximize a facility's net present value (NPV) and long-term profitability for its owners. While the initial applications of RIPBAM have been for nuclear power stations, the methodology can easily be adapted to other types of power station or complex facility decision-making support. RIPBAM can also be designed to focus on performance metrics other than NPV and profitability (e.g., mission reliability, operational availability, probability of mission success per dollar invested, etc.). Recent advancements in the RIPBAM process focus on expanding the scope of previous RIPBAM applications to include not only operations, maintenance, and safety issues, but also broader risk perception components affecting plant owner (stockholder), operator, and regulator biases. Conceptually, RIPBAM is a comprehensive risk-informed cash flow model for decision support. It originated as a tool to help manage plant refueling outage scheduling, and was later expanded to include the full spectrum of operations and maintenance decision support. However, it differs from conventional business modeling tools in that it employs a systems engineering approach with broadly based probabilistic analysis of organizational 'value streams'. The scope of value stream inclusion in the process can be established by the user, but in its broadest applications, RIPBAM can be used to address how risk perceptions of plant owners and regulators are impacted by plant performance. Plant staffs can expand and refine RIPBAM models scope via a phased program of activities over time. This paper shows how the multi-metric uncertainty analysis feature of RIPBAM can apply a wide spectrum of decision-influencing factors to support decisions designed to maximize the probability of achieving, maintaining, and improving upon plant goals and objectives. In this paper, the authors show how this approach can be extremely valuable to plant owners and operators in supporting plant value-impacting decision-making processes. (authors)« less

Strategies for the Challenges Facing Women in Higher Education Administration.

ERIC Educational Resources Information Center

Rehnke, Mary Ann

Women administrators in higher education must deal not only with the usual challenges facing administrators (decision-making, resolving conflict, and advancing professionally), but also with the effects of sex stereotyping. Women are not seen as decision-makers, nor as conflict-resolvers, and are often viewed as supporting personnel rather than…

The Design of an Intelligent Decision Support Tool for Submarine Commanders

DTIC Science & Technology

2009-06-01

for public release, distribution unlimited 13. SUPPLEMENTARY NOTES The original document contains color images . 14. ABSTRACT 15. SUBJECT TERMS 16...with research supporting the advancement of military technology. Thank you again for your support throughout this process . To Dave Silvia and Carl...26 2.1.3 Voyage Management System

Development of an intervention to support patients and clinicians with advanced lung cancer when considering systematic anticancer therapy: protocol for the PACT study.

PubMed

Anagnostou, Despina; Sivell, Stephanie; Noble, Simon; Lester, Jason; Byrne, Anthony; Sampson, Catherine; Longo, Mirella; Nelson, Annmarie

2017-07-12

Patient-centred care is essential to the delivery of healthcare; however, this necessitates direct patient involvement in clinical decision-making and can be challenging for patients diagnosed with advanced non-small cell lung cancer where there may be misunderstanding of the extent of disease, prognosis and aims of treatment. In this context, decisions are complex and there is a need to balance the risks and benefits, including treatment with palliative intent. The aim of the PACT study is to identify the information and decision support needs of patients, leading to the development of an intervention to support patients with advanced lung cancer when considering treatment options. PACT is a five-stage, multimethod and multicentre study. Participants : Patients and health professionals will be recruited from three health boards. Methods : Non-participant observation of multidisciplinary team meetings (n=12) will be used to determine patients' allocation to treatment pathways (stage I). Non-participant observation of patient-clinician consultations (n=20-30) will be used to explore communication of treatment options and decision-making. Extent of participation in decision-making will be assessed using the Observing Patient Involvement in Shared Decision-Making tool. Interviews with patients (stage III) and their clinicians (stage IV) will explore the perception of treatment options and involvement in decision-making. Based on stages I-IV, an expert consensus meeting will finalise the content and format of the intervention. Cognitive interviews with patients will then determine the face validity of the intervention (stage V). Analysis : analysis will be according to data type and research question and will include mediated discourse analysis, thematic analysis, framework analysis and interpretative phenomenological analysis. Ethical approval has been granted. The study findings will contribute to and promote shared and informed decision-making in the best interest of patients and prudent healthcare. We therefore aim to disseminate results via relevant respiratory, oncology and palliative care journals and conferences. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis

PubMed Central

Zarinabad, Niloufar; Meeus, Emma M; Manias, Karen; Foster, Katharine

2018-01-01

Background Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care. Objective The aim of this study was to design and develop a modular medical image region of interest analysis tool and repository (MIROR) for automatic processing, classification, evaluation, and representation of advanced magnetic resonance imaging data. Methods The clinical decision support system was developed and evaluated for diffusion-weighted imaging of body tumors in children (cohort of 48 children, with 37 malignant and 11 benign tumors). Mevislab software and Python have been used for the development of MIROR. Regions of interests were drawn around benign and malignant body tumors on different diffusion parametric maps, and extracted information was used to discriminate the malignant tumors from benign tumors. Results Using MIROR, the various histogram parameters derived for each tumor case when compared with the information in the repository provided additional information for tumor characterization and facilitated the discrimination between benign and malignant tumors. Clinical decision support system cross-validation showed high sensitivity and specificity in discriminating between these tumor groups using histogram parameters. Conclusions MIROR, as a diagnostic tool and repository, allowed the interpretation and analysis of magnetic resonance imaging images to be more accessible and comprehensive for clinicians. It aims to increase clinicians’ skillset by introducing newer techniques and up-to-date findings to their repertoire and make information from previous cases available to aid decision making. The modular-based format of the tool allows integration of analyses that are not readily available clinically and streamlines the future developments. PMID:29720361

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.

Operationalizing Semantic Medline for meeting the information needs at point of care.

PubMed

Rastegar-Mojarad, Majid; Li, Dingcheng; Liu, Hongfang

2015-01-01

Scientific literature is one of the popular resources for providing decision support at point of care. It is highly desirable to bring the most relevant literature to support the evidence-based clinical decision making process. Motivated by the recent advance in semantically enhanced information retrieval, we have developed a system, which aims to bring semantically enriched literature, Semantic Medline, to meet the information needs at point of care. This study reports our work towards operationalizing the system for real time use. We demonstrate that the migration of a relational database implementation to a NoSQL (Not only SQL) implementation significantly improves the performance and makes the use of Semantic Medline at point of care decision support possible.

Operationalizing Semantic Medline for meeting the information needs at point of care

PubMed Central

Rastegar-Mojarad, Majid; Li, Dingcheng; Liu, Hongfang

2015-01-01

Scientific literature is one of the popular resources for providing decision support at point of care. It is highly desirable to bring the most relevant literature to support the evidence-based clinical decision making process. Motivated by the recent advance in semantically enhanced information retrieval, we have developed a system, which aims to bring semantically enriched literature, Semantic Medline, to meet the information needs at point of care. This study reports our work towards operationalizing the system for real time use. We demonstrate that the migration of a relational database implementation to a NoSQL (Not only SQL) implementation significantly improves the performance and makes the use of Semantic Medline at point of care decision support possible. PMID:26306259

Effectiveness of advance care planning with family carers in dementia nursing homes: A paired cluster randomized controlled trial.

PubMed

Brazil, Kevin; Carter, Gillian; Cardwell, Chris; Clarke, Mike; Hudson, Peter; Froggatt, Katherine; McLaughlin, Dorry; Passmore, Peter; Kernohan, W George

2018-03-01

In dementia care, a large number of treatment decisions are made by family carers on behalf of their family member who lacks decisional capacity; advance care planning can support such carers in the decision-making of care goals. However, given the relative importance of advance care planning in dementia care, the prevalence of advance care planning in dementia care is poor. To evaluate the effectiveness of advance care planning with family carers in dementia care homes. Paired cluster randomized controlled trial. The intervention comprised a trained facilitator, family education, family meetings, documentation of advance care planning decisions and intervention orientation for general practitioners and nursing home staff. A total of 24 nursing homes with a dementia nursing category located in Northern Ireland, United Kingdom. Family carers of nursing home residents classified as having dementia and judged as not having decisional capacity to participate in advance care planning discussions. The primary outcome was family carer uncertainty in decision-making about the care of the resident (Decisional Conflict Scale). There was evidence of a reduction in total Decisional Conflict Scale score in the intervention group compared with the usual care group (-10.5, 95% confidence interval: -16.4 to -4.7; p < 0.001). Advance care planning was effective in reducing family carer uncertainty in decision-making concerning the care of their family member and improving perceptions of quality of care in nursing homes. Given the global significance of dementia, the implications for clinicians and policy makers include them recognizing the importance of family carer education and improving communication between family carers and formal care providers.

Fuzzy Comprehensive Evaluation (FCE) in Military Decision Support Processes

DTIC Science & Technology

2013-12-01

detection in military aircraft (Brotherton & Johnson, 2001). Today, as reported by the international journal Advances in Fuzzy Systems (2013), as of March... detection for advanced military aircraft using neural networks. In IEEE Proceedings Aerospace Conference, 2001, 6, 3113–3123. Cheng, C . H. (1996... C .   OBJECTIVE ................................................................................................... 3   II.   THE FUZZY

Final report of the operation and demonstration test of short-range weather forecasting decision support within an advanced transportation weather information system (#Safe)

DOT National Transportation Integrated Search

2006-04-01

The purpose of the Advanced Transportation Weather Information System (ATWIS) was to provide en-route weather forecasts and road condition information to the traveling public across North Dakota and South Dakota. ATWIS was the first system to develop...

An Integrated Web-based Decision Support System in Disaster Risk Management

NASA Astrophysics Data System (ADS)

Aye, Z. C.; Jaboyedoff, M.; Derron, M. H.

2012-04-01

Nowadays, web based decision support systems (DSS) play an essential role in disaster risk management because of their supporting abilities which help the decision makers to improve their performances and make better decisions without needing to solve complex problems while reducing human resources and time. Since the decision making process is one of the main factors which highly influence the damages and losses of society, it is extremely important to make right decisions at right time by combining available risk information with advanced web technology of Geographic Information System (GIS) and Decision Support System (DSS). This paper presents an integrated web-based decision support system (DSS) of how to use risk information in risk management efficiently and effectively while highlighting the importance of a decision support system in the field of risk reduction. Beyond the conventional systems, it provides the users to define their own strategies starting from risk identification to the risk reduction, which leads to an integrated approach in risk management. In addition, it also considers the complexity of changing environment from different perspectives and sectors with diverse stakeholders' involvement in the development process. The aim of this platform is to contribute a part towards the natural hazards and geosciences society by developing an open-source web platform where the users can analyze risk profiles and make decisions by performing cost benefit analysis, Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) with the support of others tools and resources provided. There are different access rights to the system depending on the user profiles and their responsibilities. The system is still under development and the current version provides maps viewing, basic GIS functionality, assessment of important infrastructures (e.g. bridge, hospital, etc.) affected by landslides and visualization of the impact-probability matrix in terms of socio-economic dimension.

The application of decision analysis to life support research and technology development

NASA Technical Reports Server (NTRS)

Ballin, Mark G.

1994-01-01

Applied research and technology development is often characterized by uncertainty, risk, and significant delays before tangible returns are obtained. Decision making regarding which technologies to advance and what resources to devote to them is a challenging but essential task. In the application of life support technology to future manned space flight, new technology concepts typically are characterized by nonexistent data and rough approximations of technology performance, uncertain future flight program needs, and a complex, time-intensive process to develop technology to a flight-ready status. Decision analysis is a quantitative, logic-based discipline that imposes formalism and structure to complex problems. It also accounts for the limits of knowledge that may be available at the time a decision is needed. The utility of decision analysis to life support technology R & D was evaluated by applying it to two case studies. The methodology was found to provide insight that is not possible from more traditional analysis approaches.

Development of a decision support system for tsunami evacuation: application to the Jiyang District of Sanya city in China

NASA Astrophysics Data System (ADS)

Hou, Jingming; Yuan, Ye; Wang, Peitao; Ren, Zhiyuan; Li, Xiaojuan

2017-03-01

Major tsunami disasters often cause great damage in the first few hours following an earthquake. The possible severity of such events requires preparations to prevent tsunami disasters or mitigate them. This paper is an attempt to develop a decision support system for rapid tsunami evacuation for local decision makers. Based on the numerical results database of tsunami disasters, this system can quickly obtain the tsunami inundation and travel time. Because numerical models are calculated in advance, this system can reduce decision-making time. Population distribution, as a vulnerability factor, was analyzed to identify areas of high risk for tsunami disasters. Combined with spatial data, this system can comprehensively analyze the dynamic and static evacuation process and identify problems that negatively impact evacuation, thus supporting the decision-making for tsunami evacuation in high-risk areas. When an earthquake and tsunami occur, this system can rapidly obtain the tsunami inundation and travel time and provide information to assist with tsunami evacuation operations.

The Assisted Decision-Making (Capacity) Act 2015: what it is and why it matters.

PubMed

Kelly, B D

2017-05-01

Ireland's Assisted Decision-Making (Capacity) Act 2015 was signed by President Higgins in December 2015 and scheduled for commencement in 2016. To explore the content and implications of the 2015 Act. Review of the 2015 Act and related literature. The 2015 Act places the "will and preferences" of persons with impaired mental capacity at the heart of decision-making relating to "personal welfare" (including healthcare) and "property and affairs". Capacity is to be "construed functionally" and interventions must be "for the benefit of the relevant person". The Act outlines three levels of decision-making assistance: "decision-making assistant", "co-decision-maker" (joint decision-maker) and "decision-making representative" (substitute decision-maker). There are procedures relating to "enduring power of attorney" and "advance healthcare directives"; in the case of the latter, a "refusal of treatment" can be legally binding, while a "request for a specific treatment" must "be taken into consideration". The 2015 Act is considerably more workable than the 2013 Bill that preceded it. Key challenges include the subtle decision-making required by patients, healthcare staff, Circuit Court judges and the director of the Decision Support Service; implementation of "advance healthcare directives", especially if they do not form part of a broader model of advance care planning (incorporating the flexibility required for unpredictable future circumstances); and the over-arching issue of logistics, as very many healthcare decisions are currently made in situations where the patient's capacity is impaired. A key challenge will lie in balancing the emphasis on autonomy with principles of beneficence, mutuality and care.

Identifying Key Features, Cutting Edge Cloud Resources, and Artificial Intelligence Tools to Achieve User-Friendly Water Science in the Cloud

NASA Astrophysics Data System (ADS)

Pierce, S. A.

2017-12-01

Decision making for groundwater systems is becoming increasingly important, as shifting water demands increasingly impact aquifers. As buffer systems, aquifers provide room for resilient responses and augment the actual timeframe for hydrological response. Yet the pace impacts, climate shifts, and degradation of water resources is accelerating. To meet these new drivers, groundwater science is transitioning toward the emerging field of Integrated Water Resources Management, or IWRM. IWRM incorporates a broad array of dimensions, methods, and tools to address problems that tend to be complex. Computational tools and accessible cyberinfrastructure (CI) are needed to cross the chasm between science and society. Fortunately cloud computing environments, such as the new Jetstream system, are evolving rapidly. While still targeting scientific user groups systems such as, Jetstream, offer configurable cyberinfrastructure to enable interactive computing and data analysis resources on demand. The web-based interfaces allow researchers to rapidly customize virtual machines, modify computing architecture and increase the usability and access for broader audiences to advanced compute environments. The result enables dexterous configurations and opening up opportunities for IWRM modelers to expand the reach of analyses, number of case studies, and quality of engagement with stakeholders and decision makers. The acute need to identify improved IWRM solutions paired with advanced computational resources refocuses the attention of IWRM researchers on applications, workflows, and intelligent systems that are capable of accelerating progress. IWRM must address key drivers of community concern, implement transdisciplinary methodologies, adapt and apply decision support tools in order to effectively support decisions about groundwater resource management. This presentation will provide an overview of advanced computing services in the cloud using integrated groundwater management case studies to highlight how Cloud CI streamlines the process for setting up an interactive decision support system. Moreover, advances in artificial intelligence offer new techniques for old problems from integrating data to adaptive sensing or from interactive dashboards to optimizing multi-attribute problems. The combination of scientific expertise, flexible cloud computing solutions, and intelligent systems opens new research horizons.

Fidelity to a behavioral intervention to improve goals of care decisions for nursing home residents with advanced dementia.

PubMed

Hanson, Laura C; Song, Mi-Kyung; Zimmerman, Sheryl; Gilliam, Robin; Rosemond, Cherie; Chisholm, Latarsha; Lin, Feng-Chang

2016-12-01

Ensuring fidelity to a behavioral intervention implemented in nursing homes requires awareness of the unique considerations of this setting for research. The purpose of this article is to describe the goals of care cluster-randomized trial and the methods used to monitor and promote fidelity to a goals of care decision aid intervention delivered in nursing homes. The cluster randomized trial tested whether a decision aid for goals of care in advanced dementia could improve (1) the quality of communication and decision-making, (2) the quality of palliative care, and (3) the quality of dying for nursing home residents with advanced dementia. In 11 intervention nursing homes, family decision-makers for residents with advanced dementia received a two-component intervention: viewing a video decision aid about goals of care choices and then participating in a structured decision-making discussion with the nursing home care plan team, ideally within 3 months after the decision aid was viewed. Following guidelines from the National Institutes of Health Behavior Change Consortium, fidelity was assessed in study design, in nursing home staff training for intervention implementation, and in monitoring and receipt of the intervention. We also monitored the content and timing of goals of care discussions. Investigators enrolled 151 family decision-maker/resident dyads in intervention sites; of those, 136 (90%) received both components of the intervention, and 92%-99% of discussions addressed each of four recommended content areas-health status, goals of care, choice of a goal, and treatment planning. A total of 94 (69%) of the discussions between family decision-makers and the nursing home care team were completed within 3 months. The methods we used for intervention fidelity allowed nursing home staff to implement a goals of care decision aid intervention for advanced dementia. Key supports for implementation included design features that aligned with nursing home practice, efficient staff training, and a structured guide for goals of care discussions between family decision-makers and staff. These approaches may be used to promote fidelity to behavioral interventions in future clinical trials. © The Author(s) 2016.

Pattern Analysis and Decision Support for Cancer through Clinico-Genomic Profiles

NASA Astrophysics Data System (ADS)

Exarchos, Themis P.; Giannakeas, Nikolaos; Goletsis, Yorgos; Papaloukas, Costas; Fotiadis, Dimitrios I.

Advances in genome technology are playing a growing role in medicine and healthcare. With the development of new technologies and opportunities for large-scale analysis of the genome, genomic data have a clear impact on medicine. Cancer prognostics and therapeutics are among the first major test cases for genomic medicine, given that all types of cancer are related with genomic instability. In this paper we present a novel system for pattern analysis and decision support in cancer. The system integrates clinical data from electronic health records and genomic data. Pattern analysis and data mining methods are applied to these integrated data and the discovered knowledge is used for cancer decision support. Through this integration, conclusions can be drawn for early diagnosis, staging and cancer treatment.

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

Provider Tools for Advance Care Planning and Goals of Care Discussions: A Systematic Review.

PubMed

Myers, Jeff; Cosby, Roxanne; Gzik, Danusia; Harle, Ingrid; Harrold, Deb; Incardona, Nadia; Walton, Tara

2018-01-01

Advance care planning and goals of care discussions involve the exploration of what is most important to a person, including their values and beliefs in preparation for health-care decision-making. Advance care planning conversations focus on planning for future health care, ensuring that an incapable person's wishes are known and can guide the person's substitute decision maker for future decision-making. Goals of care discussions focus on preparing for current decision-making by ensuring the person's goals guide this process. To provide evidence regarding tools and/or practices available for use by health-care providers to effectively facilitate advance care planning conversations and/or goals of care discussions. A systematic review was conducted focusing on guidelines, randomized trials, comparative studies, and noncomparative studies. Databases searched included MEDLINE, EMBASE, and the proceedings of the International Advance Care Planning Conference and the American Society of Clinical Oncology Palliative Care Symposium. Although several studies report positive findings, there is a lack of consistent patient outcome evidence to support any one clinical tool for use in advance care planning or goals of care discussions. Effective advance care planning conversations at both the population and the individual level require provider education and communication skill development, standardized and accessible documentation, quality improvement initiatives, and system-wide coordination to impact the population level. There is a need for research focused on goals of care discussions, to clarify the purpose and expected outcomes of these discussions, and to clearly differentiate goals of care from advance care planning.

An advance care plan decision support video before major surgery: a patient- and family-centred approach.

PubMed

Isenberg, Sarina R; Crossnohere, Norah L; Patel, Manali I; Conca-Cheng, Alison; Bridges, John F P; Swoboda, Sandy M; Smith, Thomas J; Pawlik, Timothy M; Weiss, Matthew; Volandes, Angelo E; Schuster, Anne; Miller, Judith A; Pastorini, Carolyn; Roter, Debra L; Aslakson, Rebecca A

2018-06-01

Video-based advanc care planning (ACP) tools have been studied in varied medical contexts; however, none have been developed for patients undergoing major surgery. Using a patient- and family-centredness approach, our objective was to implement human-centred design (HCD) to develop an ACP decision support video for patients and their family members when preparing for major surgery. The study investigators partnered with surgical patients and their family members, surgeons and other health professionals to design an ACP decision support video using key HCD principles. Adapting Maguire's HCD stages from computer science to the surgical context, while also incorporating Elwyn et al 's specifications for patient-oriented decision support tool development, we used a six-stage HCD process to develop the video: (1) plan HCD process; (2) specify where video will be used; (3) specify user and organisational requirements; (4) produce and test prototypes; (5) carry out user-based assessment; (6) field test with end users. Over 450 stakeholders were engaged in the development process contributing to setting objectives, applying for funding, providing feedback on the storyboard and iterations of the decision tool video. Throughout the HCD process, stakeholders' opinions were compiled and conflicting approaches negotiated resulting in a tool that addressed stakeholders' concerns. Our patient- and family-centred approach using HCD facilitated discussion and the ability to elicit and balance sometimes competing viewpoints. The early engagement of users and stakeholders throughout the development process may help to ensure tools address the stated needs of these individuals. NCT02489799. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Tools to support evidence-informed public health decision making

PubMed Central

2014-01-01

Background Public health professionals are increasingly expected to engage in evidence-informed decision making to inform practice and policy decisions. Evidence-informed decision making involves the use of research evidence along with expertise, existing public health resources, knowledge about community health issues, the local context and community, and the political climate. The National Collaborating Centre for Methods and Tools has identified a seven step process for evidence-informed decision making. Tools have been developed to support public health professionals as they work through each of these steps. This paper provides an overview of tools used in three Canadian public health departments involved in a study to develop capacity for evidence-informed decision making. Methods As part of a knowledge translation and exchange intervention, a Knowledge Broker worked with public health professionals to identify and apply tools for use with each of the steps of evidence-informed decision making. The Knowledge Broker maintained a reflective journal and interviews were conducted with a purposive sample of decision makers and public health professionals. This paper presents qualitative analysis of the perceived usefulness and usability of the tools. Results Tools were used in the health departments to assist in: question identification and clarification; searching for the best available research evidence; assessing the research evidence for quality through critical appraisal; deciphering the ‘actionable message(s)’ from the research evidence; tailoring messages to the local context to ensure their relevance and suitability; deciding whether and planning how to implement research evidence in the local context; and evaluating the effectiveness of implementation efforts. Decision makers provided descriptions of how the tools were used within the health departments and made suggestions for improvement. Overall, the tools were perceived as valuable for advancing and sustaining evidence-informed decision making. Conclusion Tools are available to support the process of evidence-informed decision making among public health professionals. The usability and usefulness of these tools for advancing and sustaining evidence-informed decision making are discussed, including recommendations for the tools’ application in other public health settings beyond this study. Knowledge and awareness of these tools may assist other health professionals in their efforts to implement evidence-informed practice. PMID:25034534

Tools to support evidence-informed public health decision making.

PubMed

Yost, Jennifer; Dobbins, Maureen; Traynor, Robyn; DeCorby, Kara; Workentine, Stephanie; Greco, Lori

2014-07-18

Public health professionals are increasingly expected to engage in evidence-informed decision making to inform practice and policy decisions. Evidence-informed decision making involves the use of research evidence along with expertise, existing public health resources, knowledge about community health issues, the local context and community, and the political climate. The National Collaborating Centre for Methods and Tools has identified a seven step process for evidence-informed decision making. Tools have been developed to support public health professionals as they work through each of these steps. This paper provides an overview of tools used in three Canadian public health departments involved in a study to develop capacity for evidence-informed decision making. As part of a knowledge translation and exchange intervention, a Knowledge Broker worked with public health professionals to identify and apply tools for use with each of the steps of evidence-informed decision making. The Knowledge Broker maintained a reflective journal and interviews were conducted with a purposive sample of decision makers and public health professionals. This paper presents qualitative analysis of the perceived usefulness and usability of the tools. Tools were used in the health departments to assist in: question identification and clarification; searching for the best available research evidence; assessing the research evidence for quality through critical appraisal; deciphering the 'actionable message(s)' from the research evidence; tailoring messages to the local context to ensure their relevance and suitability; deciding whether and planning how to implement research evidence in the local context; and evaluating the effectiveness of implementation efforts. Decision makers provided descriptions of how the tools were used within the health departments and made suggestions for improvement. Overall, the tools were perceived as valuable for advancing and sustaining evidence-informed decision making. Tools are available to support the process of evidence-informed decision making among public health professionals. The usability and usefulness of these tools for advancing and sustaining evidence-informed decision making are discussed, including recommendations for the tools' application in other public health settings beyond this study. Knowledge and awareness of these tools may assist other health professionals in their efforts to implement evidence-informed practice.

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

ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

PubMed Central

Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

2017-01-01

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

Randomized controlled trial of a video decision support tool for cardiopulmonary resuscitation decision making in advanced cancer.

PubMed

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

2013-01-20

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. 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. 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. 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.

The Mental Capacity Act 2005: a new framework for healthcare decision making.

PubMed

Johnston, Carolyn; Liddle, Jane

2007-02-01

The Mental Capacity Act received Royal Assent on 7 April 2005, and it will be implemented in 2007. The Act defines when someone lacks capacity and it supports people with limited decision-making ability to make as many decisions as possible for themselves. The Act lays down rules for substitute decision making. Someone taking decisions on behalf of the person lacking capacity must act in the best interests of the person concerned and choose the options least restrictive of his or her rights and freedoms. Decision making will be allowed without any formal procedure unless specific provisions apply, such as a written advance decision, lasting powers of attorney or a decision by the court of protection.

[Suspension of Respiratory Support in Patients with Amyotrophic Lateral Sclerosis].

PubMed

Silberberg, Agustín A; Robetto, Josefina; Achával, Mora

2018-01-01

Decision making in advanced Amyotrophic Lateral Sclerosis (ALS) patients keeps on being a controversial issue. The aim of this work is to discuss ethical implications of withdrawing respiratory support treatment in patients with ALS. Through a bibliographic search on Pubmed database (2010-2016) we investigated whether or not the use of Non-Invasive Ventilation (NIV) and Mechanical Ventilation (MV) would increase survival and quality of life. We included 38 review articles. From these papers, results and ethical implications of initiating and mainly withdrawing respiratory support were analyzed. Survival time increased with NIV and with MV. Quality of life, above all according to physiological criteria, improved with NIV but regarding MV it remained controversial. Implementation and future withdrawal of MV seemed open to medical and ethical discussion. From a perspective of the intrinsic dignity of every human being, whatever its quality of life was, and knowing that no effective therapies for the underlying disease are available, the decision to remove MV in a patient with advanced ALS requires: knowledge of the will of the patient and, above all, evaluating whether this respiratory support measure is becoming objectively disproportionate.

Nursing informatics, outcomes, and quality improvement.

PubMed

Charters, Kathleen G

2003-08-01

Nursing informatics actively supports nursing by providing standard language systems, databases, decision support, readily accessible research results, and technology assessments. Through normalized datasets spanning an entire enterprise or other large demographic, nursing informatics tools support improvement of healthcare by answering questions about patient outcomes and quality improvement on an enterprise scale, and by providing documentation for business process definition, business process engineering, and strategic planning. Nursing informatics tools provide a way for advanced practice nurses to examine their practice and the effect of their actions on patient outcomes. Analysis of patient outcomes may lead to initiatives for quality improvement. Supported by nursing informatics tools, successful advance practice nurses leverage their quality improvement initiatives against the enterprise strategic plan to gain leadership support and resources.

Implementing shared decision making in routine mental health care

PubMed Central

Slade, Mike

2017-01-01

Shared decision making (SDM) in mental health care involves clinicians and patients working together to make decisions. The key elements of SDM have been identified, decision support tools have been developed, and SDM has been recommended in mental health at policy level. Yet implementation remains limited. Two justifications are typically advanced in support of SDM. The clinical justification is that SDM leads to improved outcome, yet the available empirical evidence base is inconclusive. The ethical justification is that SDM is a right, but clinicians need to balance the biomedical ethical principles of autonomy and justice with beneficence and non‐maleficence. It is argued that SDM is “polyvalent”, a sociological concept which describes an idea commanding superficial but not deep agreement between disparate stakeholders. Implementing SDM in routine mental health services is as much a cultural as a technical problem. Three challenges are identified: creating widespread access to high‐quality decision support tools; integrating SDM with other recovery‐supporting interventions; and responding to cultural changes as patients develop the normal expectations of citizenship. Two approaches which may inform responses in the mental health system to these cultural changes – social marketing and the hospitality industry – are identified. PMID:28498575

Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis.

PubMed

Zarinabad, Niloufar; Meeus, Emma M; Manias, Karen; Foster, Katharine; Peet, Andrew

2018-05-02

Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care. The aim of this study was to design and develop a modular medical image region of interest analysis tool and repository (MIROR) for automatic processing, classification, evaluation, and representation of advanced magnetic resonance imaging data. The clinical decision support system was developed and evaluated for diffusion-weighted imaging of body tumors in children (cohort of 48 children, with 37 malignant and 11 benign tumors). Mevislab software and Python have been used for the development of MIROR. Regions of interests were drawn around benign and malignant body tumors on different diffusion parametric maps, and extracted information was used to discriminate the malignant tumors from benign tumors. Using MIROR, the various histogram parameters derived for each tumor case when compared with the information in the repository provided additional information for tumor characterization and facilitated the discrimination between benign and malignant tumors. Clinical decision support system cross-validation showed high sensitivity and specificity in discriminating between these tumor groups using histogram parameters. MIROR, as a diagnostic tool and repository, allowed the interpretation and analysis of magnetic resonance imaging images to be more accessible and comprehensive for clinicians. It aims to increase clinicians' skillset by introducing newer techniques and up-to-date findings to their repertoire and make information from previous cases available to aid decision making. The modular-based format of the tool allows integration of analyses that are not readily available clinically and streamlines the future developments. ©Niloufar Zarinabad, Emma M Meeus, Karen Manias, Katharine Foster, Andrew Peet. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 02.05.2018.

Supporting Timely Humanitarian Assistance/Disaster Relief (HA/DR) Decisions Through Geospatial Intelligence (GEOINT) and Geographical Information Systems (GIS) Tools

DTIC Science & Technology

2014-05-22

attempted to respond to the advances in technology and the growing power of geographical information system (GIS) tools. However, the doctrine...Geospatial intelligence (GEOINT), Geographical information systems (GIS) tools, Humanitarian Assistance/Disaster Relief (HA/DR), 2010 Haiti Earthquake...Humanitarian Assistance/Disaster Relief (HA/DR) Decisions Through Geospatial Intelligence (GEOINT) and Geographical Information Systems (GIS) Tools

Advance directives and outcomes of surrogate decision making before death.

PubMed

Silveira, Maria J; Kim, Scott Y H; Langa, Kenneth M

2010-04-01

Recent discussions about health care reform have raised questions regarding the value of advance directives. We used data from survey proxies in the Health and Retirement Study involving adults 60 years of age or older who had died between 2000 and 2006 to determine the prevalence of the need for decision making and lost decision-making capacity and to test the association between preferences documented in advance directives and outcomes of surrogate decision making. Of 3746 subjects, 42.5% required decision making, of whom 70.3% lacked decision-making capacity and 67.6% of those subjects, in turn, had advance directives. Subjects who had living wills were more likely to want limited care (92.7%) or comfort care (96.2%) than all care possible (1.9%); 83.2% of subjects who requested limited care and 97.1% of subjects who requested comfort care received care consistent with their preferences. Among the 10 subjects who requested all care possible, only 5 received it; however, subjects who requested all care possible were far more likely to receive aggressive care as compared with those who did not request it (adjusted odds ratio, 22.62; 95% confidence interval [CI], 4.45 to 115.00). Subjects with living wills were less likely to receive all care possible (adjusted odds ratio, 0.33; 95% CI, 0.19 to 0.56) than were subjects without living wills. Subjects who had assigned a durable power of attorney for health care were less likely to die in a hospital (adjusted odds ratio, 0.72; 95% CI, 0.55 to 0.93) or receive all care possible (adjusted odds ratio, 0.54; 95% CI, 0.34 to 0.86) than were subjects who had not assigned a durable power of attorney for health care. Between 2000 and 2006, many elderly Americans needed decision making near the end of life at a time when most lacked the capacity to make decisions. Patients who had prepared advance directives received care that was strongly associated with their preferences. These findings support the continued use of advance directives. 2010 Massachusetts Medical Society

A computerized clinical decision support system as a means of implementing depression guidelines.

PubMed

Trivedi, Madhukar H; Kern, Janet K; Grannemann, Bruce D; Altshuler, Kenneth Z; Sunderajan, Prabha

2004-08-01

The authors describe the history and current use of computerized systems for implementing treatment guidelines in general medicine as well as the development, testing, and early use of a computerized decision support system for depression treatment among "real-world" clinical settings in Texas. In 1999 health care experts from Europe and the United States met to confront the well-documented challenges of implementing treatment guidelines and to identify strategies for improvement. They suggested the integration of guidelines into computer systems that is incorporated into clinical workflow. Several studies have demonstrated improvements in physicians' adherence to guidelines when such guidelines are provided in a computerized format. Although computerized decision support systems are being used in many areas of medicine and have demonstrated improved patient outcomes, their use in psychiatric illness is limited. The authors designed and developed a computerized decision support system for the treatment of major depressive disorder by using evidence-based guidelines, transferring the knowledge gained from the Texas Medication Algorithm Project (TMAP). This computerized decision support system (CompTMAP) provides support in diagnosis, treatment, follow-up, and preventive care and can be incorporated into the clinical setting. CompTMAP has gone through extensive testing to ensure accuracy and reliability. Physician surveys have indicated a positive response to CompTMAP, although the sample was insufficient for statistical testing. CompTMAP is part of a new era of comprehensive computerized decision support systems that take advantage of advances in automation and provide more complete clinical support to physicians in clinical practice.

Data Mashups: Potential Contribution to Decision Support on Climate Change and Health

PubMed Central

Fleming, Lora E.; Haines, Andy; Golding, Brian; Kessel, Anthony; Cichowska, Anna; Sabel, Clive E.; Depledge, Michael H.; Sarran, Christophe; Osborne, Nicholas J.; Whitmore, Ceri; Cocksedge, Nicola; Bloomfield, Daniel

2014-01-01

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on “data mashups”. These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers. PMID:24499879

Data mashups: potential contribution to decision support on climate change and health.

PubMed

Fleming, Lora E; Haines, Andy; Golding, Brian; Kessel, Anthony; Cichowska, Anna; Sabel, Clive E; Depledge, Michael H; Sarran, Christophe; Osborne, Nicholas J; Whitmore, Ceri; Cocksedge, Nicola; Bloomfield, Daniel

2014-02-04

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on "data mashups". These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers.

Heart Transplant and Mechanical Circulatory Support in Patients With Advanced Heart Failure.

PubMed

Sánchez-Enrique, Cristina; Jorde, Ulrich P; González-Costello, José

2017-05-01

Patients with advanced heart failure have a poor prognosis and heart transplant is still the best treatment option. However, the scarcity of donors, long waiting times, and an increasing number of unstable patients have favored the development of mechanical circulatory support. This review summarizes the indications for heart transplant, candidate evaluation, current immunosuppression strategies, the evaluation and treatment of rejection, infectious prophylaxis, and short and long-term outcomes. Regarding mechanical circulatory support, we distinguish between short- and long-term support and the distinct strategies that can be used: bridge to decision, recovery, candidacy, transplant, and destination therapy. We then discuss indications, risk assessment, management of complications, especially with long-term support, and outcomes. Finally, we discuss future challenges and how the widespread use of long-term support for patients with advanced heart failure will only be viable if their complications and costs are reduced. Copyright © 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

NURSE-LED INTERVENTION TO IMPROVE SURROGATE DECISION MAKING FOR PATIENTS WITH ADVANCED CRITICAL ILLNESS

PubMed Central

White, Douglas B.; Cua, Sarah Martin; Walk, Roberta; Pollice, Laura; Weissfeld, Lisa; Hong, Seoyeon; Landefeld, C. Seth; Arnold, Robert M.

2013-01-01

Background Problems persist with surrogate decision making in intensive care units, leading to distress for surrogates and treatment that may not reflect patients’ values. Objectives To assess the feasibility, acceptability, and perceived effectiveness of a multifaceted, nurse-led intervention to improve surrogate decision making in intensive care units. Study Design A single-center, single-arm, interventional study in which 35 surrogates and 15 physicians received the Four Supports Intervention, which involved incorporating a family support specialist into the intensive care team. That specialist maintained a longitudinal relationship with surrogates and provided emotional support, communication support, decision support, and anticipatory grief support. A mixed-methods approach was used to evaluate the intervention. Results The intervention was implemented successfully in all 15 patients, with a high level of completion of each component of the intervention. The family support specialist devoted a mean of 48 (SD 36) minutes per day to each clinician-patient-family triad. All participants reported that they would recommend the intervention to others. At least 90% of physicians and surrogates reported that the intervention (1) improved the quality and timeliness of communication, (2) facilitated discussion of the patient’s values and treatment preferences, and (3) improved the patient-centeredness of care. Conclusions The Four Supports Intervention is feasible, acceptable, and was perceived by physicians and surrogates to improve the quality of decision making and the patient-centeredness of care. A randomized trial is warranted to determine whether the intervention improves patient, family, and health system outcomes. PMID:23117903

Experiences of Australian men diagnosed with advanced prostate cancer: a qualitative study

PubMed Central

Chambers, Suzanne K; Hyde, Melissa K; Laurie, Kirstyn; Legg, Melissa; Frydenberg, Mark; Davis, Ian D; Lowe, Anthony; Dunn, Jeff

2018-01-01

Objective To explore men’s lived experience of advanced prostate cancer (PCa) and preferences for support. Design Cross-sectional qualitative study applying open-ended surveys and interviews conducted between June and November 2016. Interviews audio-recorded and transcribed verbatim and analysed from an interpretive phenomenological perspective. Setting Australia, nation-wide. Participants 39 men diagnosed with advanced PCa (metastatic or castration-resistant biochemical progression) were surveyed with 28 men subsequently completing a semistructured in depth telephone interview. Results Thematic analysis of interviews identified two organising themes: lived experience and supportive care. Lived experience included six superordinate themes: regret about late diagnosis and treatment decisions, being discounted in the health system, fear/uncertainty about the future, acceptance of their situation, masculinity and treatment effects. Supportive care included five superordinate themes: communication, care coordination, accessible care, shared experience/peer support and involvement of their partner/family. Conclusions Life course and the health and social context of PCa influence men’s experiences of advanced disease. Multimodal interventions integrating peer support and specialist nurses are needed that more closely articulate with men’s expressed needs. PMID:29455168

Computational Toxicology as Implemented by the U.S. EPA: Providing High Throughput Decision Support Tools for Screening and Assessing Chemical Exposure, Hazard and Risk

EPA Science Inventory

Computational toxicology is the application of mathematical and computer models to help assess chemical hazards and risks to human health and the environment. Supported by advances in informatics, high-throughput screening (HTS) technologies, and systems biology, the U.S. Environ...

Do clients' problem-solving appraisals predict career counseling outcomes or vice versa? A reanalysis of Heppner, et al.

PubMed

Lee, Dong-Gwi; Park, Hyun-Joo; Heppner, Mary J

2009-12-01

Using Heppner, et al.'s data from 2004, this study tested career counseling clients in the United States on problem-solving appraisal scores and career-related variables. A cross-lagged panel design with structural equation modeling was used. Results supported the link between clients' precounseling problem-solving appraisal scores and career outcome. This finding held for career decision-making, but not for vocational identity. The study provided further support for Heppner, et al.'s findings, highlighting the influential role of clients' problem-solving appraisals in advancing their career decision-making processes.

Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes.

PubMed

García-Sáez, Gema; Rigla, Mercedes; Martínez-Sarriegui, Iñaki; Shalom, Erez; Peleg, Mor; Broens, Tom; Pons, Belén; Caballero-Ruíz, Estefanía; Gómez, Enrique J; Hernando, M Elena

2014-03-01

The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients' self-management capabilities, and potentially improve their treatment compliance. In these models, decision-support functions play an essential role. The telemedicine system MobiGuide provides personalized medical decision support for GD patients that is based on computerized clinical guidelines and adapted to a mobile environment. The patient's access to the system is supported by a smartphone-based application that enhances the efficiency and ease of use of the system. We formalized the GD guideline into a computer-interpretable guideline (CIG). We identified several workflows that provide decision-support functionalities to patients and 4 types of personalized advice to be delivered through a mobile application at home, which is a preliminary step to providing decision-support tools in a telemedicine system: (1) therapy, to help patients to comply with medical prescriptions; (2) monitoring, to help patients to comply with monitoring instructions; (3) clinical assessment, to inform patients about their health conditions; and (4) upcoming events, to deal with patients' personal context or special events. The whole process to specify patient-oriented decision support functionalities ensures that it is based on the knowledge contained in the GD clinical guideline and thus follows evidence-based recommendations but at the same time is patient-oriented, which could enhance clinical outcomes and patients' acceptance of the whole system. © 2014 Diabetes Technology Society.

A Decision Support Methodology for Space Technology Advocacy.

DTIC Science & Technology

1984-12-01

determine their parameters. Program control is usually exercised by level of effort funding. 63xx is the designator for advanced development pro- grams... designing systems or models that successfully aid the decision-maker. One remedy for this deficiency in the techniques is to increase the...methodology for use by the Air Force Space Technology Advocate is designed to provide the following features [l11:146-1471: meaningful reduction of available

Are advance directives helpful for good end of life decision making: a cross sectional survey of health professionals.

PubMed

Peicius, Eimantas; Blazeviciene, Aurelija; Kaminskas, Raimondas

2017-06-05

This paper joins the debate over changes in the role of health professionals when applying advance directives to manage the decision-making process at the end of life care. Issues in relation to advance directives occur in clinical units in Lithuania; however, it remains one of the few countries in the European Union (EU) where the discussion on advance directives is not included in the health-care policy-making agenda. To encourage the discussion of advance directives, a study was designed to examine health professionals' understanding and preferences related to advance directives. In addition, the study sought to explore the views of health care professionals of the application of Advance Directives (AD) in clinical practice in Lithuania. A cross-sectional survey was conducted by interviewing 478 health professionals based at major health care centers in Kaunas district, Lithuania. The design of the study included the use of a questionnaire developed for this study and validated by a pilot study. The collected data were analyzed using standard descriptive statistical methods. The analysis of knowledge about AD revealed some statistically significant differences when comparing the respondents' profession and gender. The analysis also indicated key emerging themes among respondents including tranquility of mind, the longest possible life expectancy and freedom of choice. Further, the study findings revealed that more than half of the study participants preferred to express their will while alive by using advance directives. The study findings revealed a low level of knowledge on advance directives among health professionals. Most health professionals agreed that AD's improved end-of-life decision making while the majority of physicians appreciated AD as the best tool for sharing responsibilities in clinical practice in Lithuania. More physicians than nurses preferred the presence of advance directives to support their decision making in end-of-life situations.

Computerized clinical decision support for prescribing: provision does not guarantee uptake

PubMed Central

Moxey, Annette; Robertson, Jane; Newby, David; Hains, Isla; Williamson, Margaret; Pearson, Sallie-Anne

2010-01-01

There is wide variability in the use and adoption of recommendations generated by computerized clinical decision support systems (CDSSs) despite the benefits they may bring to clinical practice. We conducted a systematic review to explore the barriers to, and facilitators of, CDSS uptake by physicians to guide prescribing decisions. We identified 58 studies by searching electronic databases (1990–2007). Factors impacting on CDSS use included: the availability of hardware, technical support and training; integration of the system into workflows; and the relevance and timeliness of the clinical messages. Further, systems that were endorsed by colleagues, minimized perceived threats to professional autonomy, and did not compromise doctor-patient interactions were accepted by users. Despite advances in technology and CDSS sophistication, most factors were consistently reported over time and across ambulatory and institutional settings. Such factors must be addressed when deploying CDSSs so that improvements in uptake, practice and patient outcomes may be achieved. PMID:20064798

Information management to enable personalized medicine: stakeholder roles in building clinical decision support.

PubMed

Downing, Gregory J; Boyle, Scott N; Brinner, Kristin M; Osheroff, Jerome A

2009-10-08

Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures), and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In addition, to represent meaningful benefits to personalized decision-making, a comparison of current and future applications of clinical decision support to enable individualized medical treatment plans is presented. If clinical decision support tools are to impact outcomes in a clear and positive manner, their development and deployment must therefore consider the needs of the providers, including specific practice needs, information workflow, and practice environment.

Information management to enable personalized medicine: stakeholder roles in building clinical decision support

PubMed Central

2009-01-01

Background Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Discussion Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures), and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. Summary This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In addition, to represent meaningful benefits to personalized decision-making, a comparison of current and future applications of clinical decision support to enable individualized medical treatment plans is presented. If clinical decision support tools are to impact outcomes in a clear and positive manner, their development and deployment must therefore consider the needs of the providers, including specific practice needs, information workflow, and practice environment. PMID:19814826

Utilization of Connected Vehicle Data to Support Traffic Management Decisions

DOT National Transportation Integrated Search

2018-03-01

Automated vehicle technology is advancing rapidly, from concept to test vehicles on the streets of American cities. Some of the underlying technologies that enable automation, such as Bluetooth communications and GPS, are already available in many ca...

Integrated Modeling for Road Condition Prediction (IMRCP)

DOT National Transportation Integrated Search

2018-01-17

Intelligent transportation system deployments have enabled great advances in operational awareness and response based on the data they gather on the current state of the roadways. The next step in decision support is to forecast road conditions and b...

Risk-Based Prioritization of Research for Aviation Security Using Logic-Evolved Decision Analysis

NASA Technical Reports Server (NTRS)

Eisenhawer, S. W.; Bott, T. F.; Sorokach, M. R.; Jones, F. P.; Foggia, J. R.

2004-01-01

The National Aeronautics and Space Administration is developing advanced technologies to reduce terrorist risk for the air transportation system. Decision support tools are needed to help allocate assets to the most promising research. An approach to rank ordering technologies (using logic-evolved decision analysis), with risk reduction as the metric, is presented. The development of a spanning set of scenarios using a logic-gate tree is described. Baseline risk for these scenarios is evaluated with an approximate reasoning model. Illustrative risk and risk reduction results are presented.

Complexity Science: A Mechanism for Strategic Foresight and Resiliency in National Security Decision-Making.

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

Ackermann, Mark R.; Hayden, Nancy Kay; Backus, George A.

Most national policy decisions are complex with a variety of stakeholders, disparate interests and the potential for unintended consequences. While a number of analytical tools exist to help decision makers sort through the mountains of data and myriad of options, decision support teams are increasingly turning to complexity science for improved analysis and better insight into the potential impact of policy decisions. While complexity science has great potential, it has only proven useful in limited case s and when properly applied. In advance of more widespread use, a national - level effort to refine complexity science and more rigorously establishmore » its technical underpinnings is recommended.« less

Decision support systems for clinical radiological practice — towards the next generation

PubMed Central

Stivaros, S M; Gledson, A; Nenadic, G; Zeng, X-J; Keane, J; Jackson, A

2010-01-01

The huge amount of information that needs to be assimilated in order to keep pace with the continued advances in modern medical practice can form an insurmountable obstacle to the individual clinician. Within radiology, the recent development of quantitative imaging techniques, such as perfusion imaging, and the development of imaging-based biomarkers in modern therapeutic assessment has highlighted the need for computer systems to provide the radiological community with support for academic as well as clinical/translational applications. This article provides an overview of the underlying design and functionality of radiological decision support systems with examples tracing the development and evolution of such systems over the past 40 years. More importantly, we discuss the specific design, performance and usage characteristics that previous systems have highlighted as being necessary for clinical uptake and routine use. Additionally, we have identified particular failings in our current methodologies for data dissemination within the medical domain that must be overcome if the next generation of decision support systems is to be implemented successfully. PMID:20965900

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

PubMed

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).

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

Decision insight into stakeholder conflict for ERN.

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

Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.

Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effectsmore » in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.« less

Systems of career influences: a conceptual model for evaluating the professional development of women in academic medicine.

PubMed

Magrane, Diane; Helitzer, Deborah; Morahan, Page; Chang, Shine; Gleason, Katharine; Cardinali, Gina; Wu, Chih-Chieh

2012-12-01

Surprisingly little research is available to explain the well-documented organizational and societal influences on persistent inequities in advancement of women faculty. The Systems of Career Influences Model is a framework for exploring factors influencing women's progression to advanced academic rank, executive positions, and informal leadership roles in academic medicine. The model situates faculty as agents within a complex adaptive system consisting of a trajectory of career advancement with opportunities for formal professional development programming; a dynamic system of influences of organizational policies, practices, and culture; and a dynamic system of individual choices and decisions. These systems of influence may promote or inhibit career advancement. Within this system, women weigh competing influences to make career advancement decisions, and leaders of academic health centers prioritize limited resources to support the school's mission. The Systems of Career Influences Model proved useful to identify key research questions. We used the model to probe how research in academic career development might be applied to content and methods of formal professional development programs. We generated a series of questions and hypotheses about how professional development programs might influence professional development of health science faculty members. Using the model as a guide, we developed a study using a quantitative and qualitative design. These analyses should provide insight into what works in recruiting and supporting productive men and women faculty in academic medical centers.

Privacy-Preserving Patient-Centric Clinical Decision Support System on Naïve Bayesian Classification.

PubMed

Liu, Ximeng; Lu, Rongxing; Ma, Jianfeng; Chen, Le; Qin, Baodong

2016-03-01

Clinical decision support system, which uses advanced data mining techniques to help clinician make proper decisions, has received considerable attention recently. The advantages of clinical decision support system include not only improving diagnosis accuracy but also reducing diagnosis time. Specifically, with large amounts of clinical data generated everyday, naïve Bayesian classification can be utilized to excavate valuable information to improve a clinical decision support system. Although the clinical decision support system is quite promising, the flourish of the system still faces many challenges including information security and privacy concerns. In this paper, we propose a new privacy-preserving patient-centric clinical decision support system, which helps clinician complementary to diagnose the risk of patients' disease in a privacy-preserving way. In the proposed system, the past patients' historical data are stored in cloud and can be used to train the naïve Bayesian classifier without leaking any individual patient medical data, and then the trained classifier can be applied to compute the disease risk for new coming patients and also allow these patients to retrieve the top- k disease names according to their own preferences. Specifically, to protect the privacy of past patients' historical data, a new cryptographic tool called additive homomorphic proxy aggregation scheme is designed. Moreover, to leverage the leakage of naïve Bayesian classifier, we introduce a privacy-preserving top- k disease names retrieval protocol in our system. Detailed privacy analysis ensures that patient's information is private and will not be leaked out during the disease diagnosis phase. In addition, performance evaluation via extensive simulations also demonstrates that our system can efficiently calculate patient's disease risk with high accuracy in a privacy-preserving way.

"Doctor, Make My Decisions": Decision Control Preferences, Advance Care Planning, and Satisfaction With Communication Among Diverse Older Adults.

PubMed

Chiu, Catherine; Feuz, Mariko A; McMahan, Ryan D; Miao, Yinghui; Sudore, Rebecca L

2016-01-01

Culturally diverse older adults may prefer varying control over medical decisions. Decision control preferences (DCPs) may profoundly affect advance care planning (ACP) and communication. To determine the DCPs of diverse, older adults and whether DCPs are associated with participant characteristics, ACP, and communication satisfaction. A total of 146 participants were recruited from clinics and senior centers in San Francisco. We assessed DCPs using the control preferences scale: doctor makes all decisions (low), shares with doctor (medium), makes own decisions (high). We assessed associations between DCPs and demographics; prior advance directives; ability to make in-the-moment goals of care decisions; self-efficacy, readiness, and prior asked questions; and satisfaction with patient-doctor communication (on a five-point Likert scale), using Chi-square and Kruskal-Wallis analysis of variance. Mean age was 71 ± 10 years, 53% were non-white, 47% completed an advance directive, and 70% made goals of care decisions. Of the sample, 18% had low DCPs, 33% medium, and 49% high. Older age was the only characteristic associated with DCPs (low: 75 ± 11 years, medium: 69 ± 10 years, high: 70 ± 9 years, P = 0.003). DCPs were not associated with ACP, in-the-moment decisions, or communication satisfaction. Readiness was the only question-asking behavior associated (low: 3.8 ± 1.2, medium: 4.1 ± 1.2, high: 4.3 ± 1.2, P = 0.05). Nearly one-fifth of diverse, older adults want doctors to make their medical decisions. Older age and lower readiness to ask questions were the only demographic variables significantly associated with low DCPs. Yet, older adults with low DCPs still engaged in ACP, asked questions, and reported communication satisfaction. Clinicians can encourage ACP and questions for all patients, but should assess DCPs to provide the desired amount of decision support. Copyright © 2016 American Academy of Hospice and Palliative Medicine. All rights reserved.

Demonstration of the application of traffic management center decision support tools : [summary].

DOT National Transportation Integrated Search

2013-03-01

Among the most important advances in transportation systems in recent years has been the development and implementation of intelligent transportation systems (ITS), which relies on several means of monitoring traffic flows, coupled with real-time and...

Use of Additional Lighting for Traffic Control and Speed Reduction in Work Zones

DOT National Transportation Integrated Search

2018-02-01

The Federal Highway Administration (FHWA) is seeking new approaches to the design of the next national long-distance travel study- advanced methods of capturing and analyzing travel data to support effective, defensible transportation decision-making...

Leader Development: The Importance of Communication, Trust, and Legacy

DTIC Science & Technology

2014-06-13

Toyota Way were the spirit of challenge, kaizen (constantly improve performance), genchi genbutsu (philosophy of how leaders make decisions...the results will follow. Take responsibility for helping people advance through self-developing learning cycle. 3. Support Daily Kaizen : learn how

OCICATS (Online Community Input Classification to Advance Transportation Services) - a GIS-based decision-support tool.

DOT National Transportation Integrated Search

2016-09-02

Public transportation agencies can obtain large amounts of information regarding timeliness, efficiency, cleanliness, ridership, and other : performance measures. However, these metrics are based on the interests of these agencies and do not necessar...

Computerized Decision Support System Improves Fluid Resuscitation Outcomes Following Severe Burns: An Original Study

DTIC Science & Technology

2011-01-01

clinical decision- making paradigms, coupled with regula- tory and technical limitations, is just one of the hurdles that has kept advanced information...responses to assist care personnel during the resuscitation phase. CDSSs have been successfully used in the clinical setting for several years (23–24...because of clinical complications, death, or other factors were excluded. The control cohort included only patients who sur- vived for the initial 24

Role of Remotely Sensed Observations and Computational Systems in Support of Decision-Making in Developing and Fragile States

NASA Technical Reports Server (NTRS)

Khan, Maudood; Rickman, Doug; Limaye, Ashutosh; Crosson, Bill; Layman, Charles; Hemmings, Sarah

2010-01-01

The topics covered in this slide presentation are: (1) Post-war growth of U.S scientific enterprise, (2) Success of air quality regulations, (3) Complexity and coupled systems, (4) Advances in remote sensing technology, (5) Development planning in the 21stcentury, (5a) The challenge for policy maker and scientist, (5b) Decision-making science, (5c) Role of public-private partnerships.

mobilityRERC state of the science conference: Considerations for developing an evidence base for wheeled mobility and seating service delivery.

PubMed

Cohen, Laura; Greer, Nancy; Berliner, Elise; Sprigle, Stephen

2013-11-01

This article, developed as background content for discussion during the Mobility Rehabilitation Engineering Research Center State of the Science Conference, reviews research surrounding wheeled mobility and seating (WMS) service delivery, discusses the challenges of improving clinical decision-making, and discusses research approaches used to study and improve health services in other practice areas that might be leveraged to develop the evidence base for WMS. Narrative literature review. An overview of existing research found general agreement across models of WMS service delivery but little high quality evidence to support the recommended approaches and few studies of the relationship between service delivery steps and individual patient outcomes. The definition of successful clinical decision-making is different for different stakeholders. Clinical decision-making should incorporate the best available evidence along with patient values, preferences, circumstances, and clinical expertise. To advance the evidence base for WMS service delivery, alternatives to randomized controlled trials should be considered and reliable and valid outcome measures developed. Technological advances offer tremendous opportunities for individuals with complex rehabilitation technology needs. However, with ongoing scrutiny of WMS service delivery there is an increased need for evidence to support the clinical decision-making process and to support evidence-based coverage policies for WMS services and technologies. An evidence base for wheeled mobility and seating services is an important component of the clinical decision-making process. At present, there is little evidence regarding essential components of the wheeled mobility and seating evaluation or the relationship between the evaluation process and patient outcomes. Many factors can confound this relationship and present challenges to research in this area. All stakeholders (i.e. clinicians, rehabilitation technology suppliers, manufacturers, researchers, payers, policy makers, and wheelchair users) need to work together to develop and support an evidence base for wheeled mobility and seating service delivery.

Invasive Species Forecasting System: A Decision Support Tool for the U.S. Geological Survey: FY 2005 Benchmarking Report v.1.6

NASA Technical Reports Server (NTRS)

Stohlgren, Tom; Schnase, John; Morisette, Jeffrey; Most, Neal; Sheffner, Ed; Hutchinson, Charles; Drake, Sam; Van Leeuwen, Willem; Kaupp, Verne

2005-01-01

The National Institute of Invasive Species Science (NIISS), through collaboration with NASA's Goddard Space Flight Center (GSFC), recently began incorporating NASA observations and predictive modeling tools to fulfill its mission. These enhancements, labeled collectively as the Invasive Species Forecasting System (ISFS), are now in place in the NIISS in their initial state (V1.0). The ISFS is the primary decision support tool of the NIISS for the management and control of invasive species on Department of Interior and adjacent lands. The ISFS is the backbone for a unique information services line-of-business for the NIISS, and it provides the means for delivering advanced decision support capabilities to a wide range of management applications. This report describes the operational characteristics of the ISFS, a decision support tool of the United States Geological Survey (USGS). Recent enhancements to the performance of the ISFS, attained through the integration of observations, models, and systems engineering from the NASA are benchmarked; i.e., described quantitatively and evaluated in relation to the performance of the USGS system before incorporation of the NASA enhancements. This report benchmarks Version 1.0 of the ISFS.

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

Overview of NREL's work in Alaska. NREL provides objective, data-driven support to aid decision-makers in Alaska as they deploy advanced energy technologies and reduce energy burdens across the nation's largest state. NREL's technical assistance, research, and outreach activities are providing the catalyst for transforming the way Alaska uses energy.

Conference Proceedings for the Advanced Multimodal Transportation Weather Services Partnership Initiatives

DOT National Transportation Integrated Search

1999-01-01

A symposium was held at the Volpe National Transportation Systems Center on September 28, 1998 to continue an active dialogue on issues related to the use of weather informaiton to support transportation decision making, safety, and efficiency. The o...

SEA ARCHER Distributed Aviation Platform

DTIC Science & Technology

2001-12-01

manual processes, but should also improve decision support functions through advanced modeling and simulation. SEA ARCHER’s information architecture...this payload model was the SH-60 for which accurate weights were attained. Weights for the Marine STOVL version of the JSF were also attained, and

Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts

NASA Astrophysics Data System (ADS)

Tsou, Ming-Cheng; Kao, Sheng-Long; Su, Chien-Min

When an officer of the watch (OOW) faces complicated marine traffic, a suitable decision support tool could be employed in support of collision avoidance decisions, to reduce the burden and greatly improve the safety of marine traffic. Decisions on routes to avoid collisions could also consider economy as well as safety. Through simulating the biological evolution model, this research adopts the genetic algorithm used in artificial intelligence to find a theoretically safety-critical recommendation for the shortest route of collision avoidance from an economic viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of a ship. Based on this recommendation, an optimal safe avoidance turning angle, navigation restoration time and navigational restoration angle will also be provided. A Geographic Information System (GIS) will be used as the platform for display and operation. In order to achieve advance notice of alerts and due preparation for collision avoidance, a Vessel Traffic Services (VTS) operator and the OOW can use this system as a reference to assess collision avoidance at present location.

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.

Integration of evidence-based knowledge management in microsystems: a tele-ICU experience.

PubMed

Rincon, Teresa A

2012-01-01

The Institute of Medicine's proposed 6 aims to improve health care are timely, safe, effective, efficient, equitable, and patient-centered care. Unfortunately, it also asserts that improvements in these 6 dimensions cannot be achieved within the existing framework of care systems. These systems are based on unrealistic expectations on human cognition and vigilance, and demonstrate a lack of dependence on computerized systems to support care processes and put information at the point of use. Knowledge-based care and evidence-based clinical decision-making need to replace the unscientific care that is being delivered in health care. Building care practices on evidence within an information technology platform is needed to support sound clinical decision-making and to influence organizational adoption of evidence-based practice in health care. Despite medical advances and evidence-based recommendations for treatment of severe sepsis, it remains a significant cause of mortality and morbidity in the world. It is a complex disease state that has proven difficult to define, diagnose, and treat. Supporting bedside teams with real-time knowledge and expertise to target early identification of severe sepsis and compliance to Surviving Sepsis Campaign, evidence-based practice bundles are important to improving outcomes. Using a centralized, remote team of expert nurses and an open-source software application to advance clinical decision-making and execution of the severe sepsis bundle will be examined.

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

Nursing implications of personalized and precision medicine.

PubMed

Vorderstrasse, Allison A; Hammer, Marilyn J; Dungan, Jennifer R

2014-05-01

Identify and discuss the nursing implications of personalized and precision oncology care. PubMed, CINAHL. The implications in personalized and precision cancer nursing care include interpretation and clinical use of novel and personalized information including genetic testing; patient advocacy and support throughout testing, anticipation of results and treatment; ongoing chronic monitoring; and support for patient decision-making. Attention must also be given to the family and ethical implications of a personalized approach to care. Nurses face increasing challenges and opportunities in communication, support, and advocacy for patients given the availability of advanced testing, care and treatment in personalized and precision medicine. Nursing education and continuing education, clinical decision support, and health systems changes will be necessary to provide personalized multidisciplinary care to patients, in which nurses play a key role. Copyright © 2014 Elsevier Inc. All rights reserved.

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

PubMed

Wu, Helen W; Davis, Paul K; Bell, Douglas S

2012-08-17

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). 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. 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 article provides examples of each feature. The DS literature also emphasizes the importance of organizational culture and training in implementation success. The literature contrasts "rational-analytic" vs. "naturalistic-intuitive" decision-making styles, but the best approach is often a balanced approach that combines both styles. It is also important for DS systems to enable exploration of multiple assumptions, and incorporation of new information in response to changing circumstances. Complex, high-level decision-making has common features across disciplines as seemingly disparate as defense, business, and healthcare. National efforts to advance the health information technology agenda through broader CDS adoption could benefit by applying the DS principles identified in this review.

Residential aged care residents and components of end of life care in an Australian hospital.

PubMed

Leong, Laurence Jee Peng; Crawford, Gregory Brian

2018-06-09

With ageing of Australians, the numbers of residential aged care (RAC) residents is rising. This places a spotlight on decisions about appropriate care for this population, including hospitalisation and end-of-life (EOL) care. The aim was to study a sample of RAC residents who attended and died in hospital, to quantify measurable components of EOL care so as to describe the extent of palliative care required. A retrospective case-note review of hospital records was conducted in Adelaide, Australia. Participants were 109 RAC residents who attended from July 2013 to June 2014 and died in hospital. Measurements were advance care planning, health care input from the RAC facilities to hospital and components of EOL care. Residents with and without advanced dementia were compared. Advance care directives (ACDs) were present from 11 to 50%, and advance care plans (ACPs) at 60%. There were more ACPs, resuscitation orders (for/against) and do-not-hospitalise orders in residents with advanced dementia than those without. General practitioner (GP) and extended care paramedic (ECP) input on decisions for hospital transfer were 30% and 1 %. Mean hospital stay to death was 5.2 days. For residents admitted under non-palliative care teams, specialist palliative care (SPC) was needed for phone advice in 5%, consultation in 45%, transfer to palliative care unit in 37%, and takeover by SPC team in 19%. Mean number of documented goals-of-care discussions with family/caregiver was 1.7. In the last 3 days of life, the mean daily number of doses of EOL medications was 4.2. Continuous subcutaneous infusion was commenced in 35%. Staff in RAC need to be adequately resourced to make complex decisions about whether to transfer to hospital. RAC nurses are mainly making these decisions as GP and ECP input were suboptimal. Ways to support nurses and optimise decision-making are needed. Advance care planning can be improved, especially documentation of EOL wishes and hospitalisation orders. By describing the components of EOL care, it is hoped providers and policy makers have more information to assist with making decisions about what is the most appropriate care for this population.

A framework for developing and integrating effective routing strategies within the emergency management decision-support system : [research brief].

DOT National Transportation Integrated Search

2012-05-01

The terrorist attacks on September 11th, as well as other coordinated attacks on transit centers in Madrid and London, have underscored the importance of evacuation planning to : transportation professionals. With computer technology advancement, urb...

Travel time data collection for measurement of advanced traveler information systems accuracy

DOT National Transportation Integrated Search

2003-06-01

The objective of this white paper is to recommend an approach to measuring ATIS travel time accuracy so that ITS planners might have the data they need to make cost effective decisions regarding deployment of surveillance technologies to support ATIS...

Necessary Losses.

ERIC Educational Resources Information Center

O'Shea, Catherine L.

1991-01-01

When reducing staff, college administrators should (1) base decisions on the department's role in advancing the institutional mission; (2) provide practical, humane support to those whose posts are eliminated; (3) assure that all staff hear the news quickly and appropriately; and (4) maintain prompt, candid, two-way communication with all…

The role of advance directives in end-of-life decisions in Austria: survey of intensive care physicians.

PubMed

Schaden, Eva; Herczeg, Petra; Hacker, Stefan; Schopper, Andrea; Krenn, Claus G

2010-10-21

Currently, intensive care medicine strives to define a generally accepted way of dealing with end-of-life decisions, therapy limitation and therapy discontinuation.In 2006 a new advance directive legislation was enacted in Austria. Patients may now document their personal views regarding extension of treatment. The aim of this survey was to explore Austrian intensive care physicians' experiences with and their acceptance of the new advance directive legislation two years after enactment (2008). Under the aegis of the OEGARI (Austrian Society of Anaesthesiology, Resuscitation and Intensive Care) an anonymised questionnaire was sent to the medical directors of all intensive care units in Austria. The questions focused on the physicians' experiences regarding advance directives and their level of knowledge about the underlying legislation. There were 241 questionnaires sent and 139 were turned, which was a response rate of 58%. About one third of the responders reported having had no experience with advance directives and only 9 directors of intensive care units had dealt with more than 10 advance directives in the previous two years. Life-supporting measures, resuscitation, and mechanical ventilation were the predominantly refused therapies, wishes were mainly expressed concerning pain therapy. A response rate of almost 60% proves the great interest of intensive care professionals in making patient-oriented end-of-life decisions. However, as long as patients do not make use of their right of co-determination, the enactment of the new law can be considered only a first important step forward.

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.

Promoting advance directives among African Americans: a faith-based model.

PubMed

Bullock, Karen

2006-02-01

Studies show that African Americans are less likely than other ethnic groups to complete advance directives. However, what influences African Americans' decisions to complete or not complete advance directives is unclear. Using a faith-based promotion model, 102 African Americans aged 55 years or older were recruited from local churches and community-based agencies to participate in a pilot study to promote advance care planning. Focus groups were used to collect data on participants' preferences for care, desire to make personal choices, values and attitudes, beliefs about death and dying, and advance directives. A standardized interview was used in the focus groups, and the data were organized and analyzed using NUDIST 4 software (QRS Software, Victoria, Australia). Three fourths of the participants refused to complete advance directives. The following factors influenced the participants' decisions about end-of-life care and completion of an advance directive: spirituality; view of suffering, death, and dying; social support networks; barriers to utilization; and mistrust of the health care system. The dissemination of information apprises individuals of their right to self-determine about their care, but educational efforts may not produce a significant change in behavior toward completion of advance care planning. Thus, ongoing efforts are needed to improve the trust that African Americans have in medical and health care providers.

Clinical skills assessment of procedural and advanced communication skills: performance expectations of residency program directors.

PubMed

Langenau, Erik E; Zhang, Xiuyuan; Roberts, William L; DeChamplain, Andre F; Boulet, John R

2012-01-01

High stakes medical licensing programs are planning to augment and adapt current examinations to be relevant for a two-decision point model for licensure: entry into supervised practice and entry into unsupervised practice. Therefore, identifying which skills should be assessed at each decision point is critical for informing examination development, and gathering input from residency program directors is important. Using data from previously developed surveys and expert panels, a web-delivered survey was distributed to 3,443 residency program directors. For each of the 28 procedural and 18 advanced communication skills, program directors were asked which clinical skills should be assessed, by whom, when, and how. Descriptive statistics were collected, and Intraclass Correlations (ICC) were conducted to determine consistency across different specialties. Among 347 respondents, program directors reported that all advanced communication and some procedural tasks are important to assess. The following procedures were considered 'important' or 'extremely important' to assess: sterile technique (93.8%), advanced cardiovascular life support (ACLS) (91.1%), basic life support (BLS) (90.0%), interpretation of electrocardiogram (89.4%) and blood gas (88.7%). Program directors reported that most clinical skills should be assessed at the end of the first year of residency (or later) and not before graduation from medical school. A minority were considered important to assess prior to the start of residency training: demonstration of respectfulness (64%), sterile technique (67.2%), BLS (68.9%), ACLS (65.9%) and phlebotomy (63.5%). Results from this study support that assessing procedural skills such as cardiac resuscitation, sterile technique, and phlebotomy would be amenable to assessment at the end of medical school, but most procedural and advanced communications skills would be amenable to assessment at the end of the first year of residency training or later. Gathering data from residency program directors provides support for developing new assessment tools in high-stakes licensing examinations.

Clinical skills assessment of procedural and advanced communication skills: performance expectations of residency program directors

PubMed Central

Langenau, Erik E.; Zhang, Xiuyuan; Roberts, William L.; DeChamplain, Andre F.; Boulet, John R.

2012-01-01

Background High stakes medical licensing programs are planning to augment and adapt current examinations to be relevant for a two-decision point model for licensure: entry into supervised practice and entry into unsupervised practice. Therefore, identifying which skills should be assessed at each decision point is critical for informing examination development, and gathering input from residency program directors is important. Methods Using data from previously developed surveys and expert panels, a web-delivered survey was distributed to 3,443 residency program directors. For each of the 28 procedural and 18 advanced communication skills, program directors were asked which clinical skills should be assessed, by whom, when, and how. Descriptive statistics were collected, and Intraclass Correlations (ICC) were conducted to determine consistency across different specialties. Results Among 347 respondents, program directors reported that all advanced communication and some procedural tasks are important to assess. The following procedures were considered ‘important’ or ‘extremely important’ to assess: sterile technique (93.8%), advanced cardiovascular life support (ACLS) (91.1%), basic life support (BLS) (90.0%), interpretation of electrocardiogram (89.4%) and blood gas (88.7%). Program directors reported that most clinical skills should be assessed at the end of the first year of residency (or later) and not before graduation from medical school. A minority were considered important to assess prior to the start of residency training: demonstration of respectfulness (64%), sterile technique (67.2%), BLS (68.9%), ACLS (65.9%) and phlebotomy (63.5%). Discussion Results from this study support that assessing procedural skills such as cardiac resuscitation, sterile technique, and phlebotomy would be amenable to assessment at the end of medical school, but most procedural and advanced communications skills would be amenable to assessment at the end of the first year of residency training or later. Conclusions Gathering data from residency program directors provides support for developing new assessment tools in high-stakes licensing examinations. PMID:22833698

Bits and bytes: the future of radiology lies in informatics and information technology.

PubMed

Brink, James A; Arenson, Ronald L; Grist, Thomas M; Lewin, Jonathan S; Enzmann, Dieter

2017-09-01

Advances in informatics and information technology are sure to alter the practice of medical imaging and image-guided therapies substantially over the next decade. Each element of the imaging continuum will be affected by substantial increases in computing capacity coincident with the seamless integration of digital technology into our society at large. This article focuses primarily on areas where this IT transformation is likely to have a profound effect on the practice of radiology. • Clinical decision support ensures consistent and appropriate resource utilization. • Big data enables correlation of health information across multiple domains. • Data mining advances the quality of medical decision-making. • Business analytics allow radiologists to maximize the benefits of imaging resources.

Personalized health care and health information technology policy: an exploratory analysis.

PubMed

Wald, Jonathan S; Shapiro, Michael

2013-01-01

Personalized healthcare (PHC) is envisioned to enhance clinical practice decision-making using new genome-driven knowledge that tailors diagnosis, treatment, and prevention to the individual patient. In 2012, we conducted a focused environmental scan and informal interviews with fifteen experts to anticipate how PHC might impact health Information Technology (IT) policy in the United States. Findings indicatedthat PHC has a variable impact on current clinical practice, creates complex questions for providers, patients, and policy-makers, and will require a robust health IT infrastructure with advanced data architecture, clinical decision support, provider workflow tools, and re-use of clinical data for research. A number of health IT challenge areas were identified, along with five policy areas including: interoperable clinical decision support, standards for patient values and preferences, patient engagement, data transparency, and robust privacy and security.

Applying a multi-replication framework to support dynamic situation assessment and predictive capabilities

NASA Astrophysics Data System (ADS)

Lammers, Craig; McGraw, Robert M.; Steinman, Jeffrey S.

2005-05-01

Technological advances and emerging threats reduce the time between target detection and action to an order of a few minutes. To effectively assist with the decision-making process, C4I decision support tools must quickly and dynamically predict and assess alternative Courses Of Action (COAs) to assist Commanders in anticipating potential outcomes. These capabilities can be provided through the faster-than-real-time predictive simulation of plans that are continuously re-calibrating with the real-time picture. This capability allows decision-makers to assess the effects of re-tasking opportunities, providing the decision-maker with tremendous freedom to make time-critical, mid-course decisions. This paper presents an overview and demonstrates the use of a software infrastructure that supports DSAP capabilities. These DSAP capabilities are demonstrated through the use of a Multi-Replication Framework that supports (1) predictivie simulations using JSAF (Joint Semi-Automated Forces); (2) real-time simulation, also using JSAF, as a state estimation mechanism; and, (3) real-time C4I data updates through TBMCS (Theater Battle Management Core Systems). This infrastructure allows multiple replications of a simulation to be executed simultaneously over a grid faster-than-real-time, calibrated with live data feeds. A cost evaluator mechanism analyzes potential outcomes and prunes simulations that diverge from the real-time picture. In particular, this paper primarily serves to walk a user through the process for using the Multi-Replication Framework providing an enhanced decision aid.

An Advanced Framework for Improving Situational Awareness in Electric Power Grid Operation

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

Chen, Yousu; Huang, Zhenyu; Zhou, Ning

With the deployment of new smart grid technologies and the penetration of renewable energy in power systems, significant uncertainty and variability is being introduced into power grid operation. Traditionally, the Energy Management System (EMS) operates the power grid in a deterministic mode, and thus will not be sufficient for the future control center in a stochastic environment with faster dynamics. One of the main challenges is to improve situational awareness. This paper reviews the current status of power grid operation and presents a vision of improving wide-area situational awareness for a future control center. An advanced framework, consisting of parallelmore » state estimation, state prediction, parallel contingency selection, parallel contingency analysis, and advanced visual analytics, is proposed to provide capabilities needed for better decision support by utilizing high performance computing (HPC) techniques and advanced visual analytic techniques. Research results are presented to support the proposed vision and framework.« less

Systems of Career Influences: A Conceptual Model for Evaluating the Professional Development of Women in Academic Medicine

PubMed Central

Helitzer, Deborah; Morahan, Page; Chang, Shine; Gleason, Katharine; Cardinali, Gina; Wu, Chih-Chieh

2012-01-01

Abstract Background Surprisingly little research is available to explain the well-documented organizational and societal influences on persistent inequities in advancement of women faculty. Methods The Systems of Career Influences Model is a framework for exploring factors influencing women's progression to advanced academic rank, executive positions, and informal leadership roles in academic medicine. The model situates faculty as agents within a complex adaptive system consisting of a trajectory of career advancement with opportunities for formal professional development programming; a dynamic system of influences of organizational policies, practices, and culture; and a dynamic system of individual choices and decisions. These systems of influence may promote or inhibit career advancement. Within this system, women weigh competing influences to make career advancement decisions, and leaders of academic health centers prioritize limited resources to support the school's mission. Results and Conclusions The Systems of Career Influences Model proved useful to identify key research questions. We used the model to probe how research in academic career development might be applied to content and methods of formal professional development programs. We generated a series of questions and hypotheses about how professional development programs might influence professional development of health science faculty members. Using the model as a guide, we developed a study using a quantitative and qualitative design. These analyses should provide insight into what works in recruiting and supporting productive men and women faculty in academic medical centers. PMID:23101486

Information systems: the key to evidence-based health practice.

PubMed Central

Rodrigues, R. J.

2000-01-01

Increasing prominence is being given to the use of best current evidence in clinical practice and health services and programme management decision-making. The role of information in evidence-based practice (EBP) is discussed, together with questions of how advanced information systems and technology (IS&T) can contribute to the establishment of a broader perspective for EBP. The author examines the development, validation and use of a variety of sources of evidence and knowledge that go beyond the well-established paradigm of research, clinical trials, and systematic literature review. Opportunities and challenges in the implementation and use of IS&T and knowledge management tools are examined for six application areas: reference databases, contextual data, clinical data repositories, administrative data repositories, decision support software, and Internet-based interactive health information and communication. Computerized and telecommunications applications that support EBP follow a hierarchy in which systems, tasks and complexity range from reference retrieval and the processing of relatively routine transactions, to complex "data mining" and rule-driven decision support systems. PMID:11143195

Air Traffic Management Research at NASA Ames Research Center

NASA Technical Reports Server (NTRS)

Lee, Katharine

2005-01-01

Since the late 1980's, NASA Ames researchers have been investigating ways to improve the air transportation system through the development of decision support automation. These software advances, such as the Center-TRACON Automation System (eTAS) have been developed with teams of engineers, software developers, human factors experts, and air traffic controllers; some ASA Ames decision support tools are currently operational in Federal Aviation Administration (FAA) facilities and some are in use by the airlines. These tools have provided air traffic controllers and traffic managers the capabilities to help reduce overall delays and holding, and provide significant cost savings to the airlines as well as more manageable workload levels for air traffic service providers. NASA is continuing to collaborate with the FAA, as well as other government agencies, to plan and develop the next generation of decision support tools that will support anticipated changes in the air transportation system, including a projected increase to three times today's air-traffic levels by 2025. The presentation will review some of NASA Ames' recent achievements in air traffic management research, and discuss future tool developments and concepts currently under consideration.

Visualization-based decision support for value-driven system design

NASA Astrophysics Data System (ADS)

Tibor, Elliott

In the past 50 years, the military, communication, and transportation systems that permeate our world, have grown exponentially in size and complexity. The development and production of these systems has seen ballooning costs and increased risk. This is particularly critical for the aerospace industry. The inability to deal with growing system complexity is a crippling force in the advancement of engineered systems. Value-Driven Design represents a paradigm shift in the field of design engineering that has potential to help counteract this trend. The philosophy of Value-Driven Design places the desires of the stakeholder at the forefront of the design process to capture true preferences and reveal system alternatives that were never previously thought possible. Modern aerospace engineering design problems are large, complex, and involve multiple levels of decision-making. To find the best design, the decision-maker is often required to analyze hundreds or thousands of combinations of design variables and attributes. Visualization can be used to support these decisions, by communicating large amounts of data in a meaningful way. Understanding the design space, the subsystem relationships, and the design uncertainties is vital to the advancement of Value-Driven Design as an accepted process for the development of more effective, efficient, robust, and elegant aerospace systems. This research investigates the use of multi-dimensional data visualization tools to support decision-making under uncertainty during the Value-Driven Design process. A satellite design system comprising a satellite, ground station, and launch vehicle is used to demonstrate effectiveness of new visualization methods to aid in decision support during complex aerospace system design. These methods are used to facilitate the exploration of the feasible design space by representing the value impact of system attribute changes and comparing the results of multi-objective optimization formulations with a Value-Driven Design formulation. The visualization methods are also used to assist in the decomposition of a value function, by representing attribute sensitivities to aid with trade-off studies. Lastly, visualization is used to enable greater understanding of the subsystem relationships, by displaying derivative-based couplings, and the design uncertainties, through implementation of utility theory. The use of these visualization methods is shown to enhance the decision-making capabilities of the designer by granting them a more holistic view of the complex design space.

LCIA framework and cross-cutting issues guidance within the UNEP/SETAC Life Cycle Initiative

EPA Science Inventory

Increasing needs for decision support and advances in scientific knowledge within life cycle assessment (LCA) led to substantial efforts to provide global guidance on environmental life cycle impact assessment (LCIA) indicators under the auspices of the UNEP-SETAC Life Cycle Init...

RISK MANAGEMENT OF SEDIMENT STRESS: A FRAMEWORK FOR SEDIMENT RISK MANAGEMENT RESEARCH

EPA Science Inventory

Research related to the ecological risk management of sediment stress in watersheds is placed under a common conceptual framework in order to help promote the timely advance of decision support methods for aquatic resource managers and watershed-level planning. The proposed risk ...

Teacher Attitudes toward Subject-Specific Acceleration: Instrument Development and Validation

ERIC Educational Resources Information Center

Rambo, Karen E.; McCoach, D. Betsy

2012-01-01

Despite the research supporting acceleration, some teachers are still hesitant to recommend acceleration for advanced students. The Teacher Attitudes Toward Subject-Specific Acceleration (TATSSA) instrument was designed to uncover the factors that influence teacher decisions to recommend students for subject-specific acceleration. First, we…

Proceedings of the Workshop on The Human-Computer Partnership in Decision-Support Held in San Luis Obispo, California on May 2-4, 2000

DTIC Science & Technology

2000-09-01

commission in 1979. He holds a Bachelor of Science Degree from Southwest Missouri State University and is a graduate of the US Army’s Armor Officer Advance...1195/12 TARAWA ARG / 13TH MEU ~ WARNET successfully supported VTC, chat, file transfers, whiteboard collaboration • Used regularly to conduct CPR5 staff...Novel employment of WARNET capability • Whiteboard capability supported CIWS repair • Whiteboard capability used to familiarize medical staff on

Current Capabilities, Issues, and Trends in LMSs and Authoring Tools

DTIC Science & Technology

2009-08-18

architecture  Embedded best-practice design principles  Support for immersive learning technologies  Support for social media 8 LMSs LMS Functionality is... Learning System Multimedia content Application demos VOIP Real-time Collaboration technologies from Adobe Connect Pro, WebEx, LiveMeeting, & Centra...ORGANIZATION NAME(S) AND ADDRESS(ES) Advanced Decision Learning (ADL),ADL Co-Lab,1901 N. Beauregard Street Suite 600,Alexandria,VA,22311 8

Global Combat Support System Army Increment 1 (GCSS-A Inc 1)

DTIC Science & Technology

2016-03-01

Acquisition Executive DoD - Department of Defense DoDAF - DoD Architecture Framework FD - Full Deployment FDD - Full Deployment Decision FY - Fiscal Year...another economic anaylsis was completed on November 14, 2012, in advance of a successful FDD . The program is now in the O&S Phase. GCSS-A Inc 1 2016...Increment I Feb 2011 Aug 2011 Full Deployment Decision ( FDD )1 Feb 2012 Dec 2012 Full Deployment (FD)2 Sep 2017 Mar 2018 Memo 1/ GCSS-A Increment 1

11 critical questions to ask when buying a physician practice.

PubMed

Jessee, William F

2012-07-01

Answering probing questions in advance of a practice purchase can help hospital and health system leaders make informed decisions. The questions are intended to stimulate careful consideration before entering into a practice acquisition; no single piece of information or answer should be considered definitive in the final decision-making process. Success depends on having a clear game plan and spending time ensuring that all players-board, management, physician leaders, and the physicians who will be employees--understand and support the plan.

Adverse consequences of article 12 of the UN Convention on the Rights of Persons with Disabilities for persons with mental disabilities and an alternative way forward

PubMed Central

Gather, Jakov

2018-01-01

It is widely accepted among medical ethicists that competence is a necessary condition for informed consent. In this view, if a patient is incompetent to make a particular treatment decision, the decision must be based on an advance directive or made by a substitute decision-maker on behalf of the patient. We call this the competence model. According to a recent report of the United Nations (UN) High Commissioner for Human Rights, article 12 of the UN Convention on the Rights of Persons with Disabilities (CRPD) presents a wholesale rejection of the competence model. The High Commissioner here adopts the interpretation of article 12 proposed by the Committee on the Rights of Persons with Disabilities. On this interpretation, CRPD article 12 renders it impermissible to deny persons with mental disabilities the right to make treatment decisions on the basis of impaired decision-making capacity and demands the replacement of all regimes of substitute decision-making by supported decision-making. In this paper, we explicate six adverse consequences of CRPD article 12 for persons with mental disabilities and propose an alternative way forward. The proposed model combines the strengths of the competence model and supported decision-making. PMID:29070707

A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory

PubMed Central

Reyna, Valerie F.

2014-01-01

Combining meaning, memory, and development, the perennially popular topic of intuition can be approached in a new way. Fuzzy-trace theory integrates these topics by distinguishing between meaning-based gist representations, which support fuzzy (yet advanced) intuition, and superficial verbatim representations of information, which support precise analysis. Here, I review the counterintuitive findings that led to the development of the theory and its most recent extensions to the neuroscience of risky decision making. These findings include memory interference (worse verbatim memory is associated with better reasoning); nonnumerical framing (framing effects increase when numbers are deleted from decision problems); developmental decreases in gray matter and increases in brain connectivity; developmental reversals in memory, judgment, and decision making (heuristics and biases based on gist increase from childhood to adulthood, challenging conceptions of rationality); and selective attention effects that provide critical tests comparing fuzzy-trace theory, expected utility theory, and its variants (e.g., prospect theory). Surprising implications for judgment and decision making in real life are also discussed, notably, that adaptive decision making relies mainly on gist-based intuition in law, medicine, and public health. PMID:25530822

Human-Computer Interaction with Medical Decisions Support Systems

NASA Technical Reports Server (NTRS)

Adolf, Jurine A.; Holden, Kritina L.

1994-01-01

Decision Support Systems (DSSs) have been available to medical diagnosticians for some time, yet their acceptance and use have not increased with advances in technology and availability of DSS tools. Medical DSSs will be necessary on future long duration space missions, because access to medical resources and personnel will be limited. Human-Computer Interaction (HCI) experts at NASA's Human Factors and Ergonomics Laboratory (HFEL) have been working toward understanding how humans use DSSs, with the goal of being able to identify and solve the problems associated with these systems. Work to date consists of identification of HCI research areas, development of a decision making model, and completion of two experiments dealing with 'anchoring'. Anchoring is a phenomenon in which the decision maker latches on to a starting point and does not make sufficient adjustments when new data are presented. HFEL personnel have replicated a well-known anchoring experiment and have investigated the effects of user level of knowledge. Future work includes further experimentation on level of knowledge, confidence in the source of information and sequential decision making.

A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory.

PubMed

Reyna, Valerie F

2012-05-01

Combining meaning, memory, and development, the perennially popular topic of intuition can be approached in a new way. Fuzzy-trace theory integrates these topics by distinguishing between meaning-based gist representations, which support fuzzy (yet advanced) intuition, and superficial verbatim representations of information, which support precise analysis. Here, I review the counterintuitive findings that led to the development of the theory and its most recent extensions to the neuroscience of risky decision making. These findings include memory interference (worse verbatim memory is associated with better reasoning); nonnumerical framing (framing effects increase when numbers are deleted from decision problems); developmental decreases in gray matter and increases in brain connectivity; developmental reversals in memory, judgment, and decision making (heuristics and biases based on gist increase from childhood to adulthood, challenging conceptions of rationality); and selective attention effects that provide critical tests comparing fuzzy-trace theory, expected utility theory, and its variants (e.g., prospect theory). Surprising implications for judgment and decision making in real life are also discussed, notably, that adaptive decision making relies mainly on gist-based intuition in law, medicine, and public health.

PAlliative Care in chronic Kidney diSease: the PACKS study--quality of life, decision making, costs and impact on carers in people managed without dialysis.

PubMed

Noble, Helen Rose; Agus, Ashley; Brazil, Kevin; Burns, Aine; Goodfellow, Nicola A; Guiney, Mary; McCourt, Fiona; McDowell, Cliona; Normand, Charles; Roderick, Paul; Thompson, Colin; Maxwell, A P; Yaqoob, M M

2015-07-11

The number of patients with advanced chronic kidney disease opting for conservative management rather than dialysis is unknown but likely to be growing as increasingly frail patients with advanced renal disease present to renal services. Conservative kidney management includes ongoing medical input and support from a multidisciplinary team. There is limited evidence concerning patient and carer experience of this choice. This study will explore quality of life, symptoms, cognition, frailty, performance decision making, costs and impact on carers in people with advanced chronic kidney disease managed without dialysis and is funded by the National Institute of Health Research in the UK. In this prospective, multicentre, longitudinal study, patients will be recruited in the UK, by renal research nurses, once they have made the decision not to embark on dialysis. Carers will be asked to 'opt-in' with consent from patients. The approach includes longitudinal quantitative surveys of quality of life, symptoms, decision making and costs for patients and quality of life and costs for carers, with questionnaires administered quarterly over 12 months. Additionally, the decision making process will be explored via qualitative interviews with renal physicians/clinical nurse specialists. The study is designed to capture patient and carer profiles when conservative kidney management is implemented, and understand trajectories of care-receiving and care-giving with the aim of optimising palliative care for this population. It will explore the interactions that lead to clinical care decisions and the impact of these decisions on informal carers with the intention of improving clinical outcomes for patients and the experiences of care givers.

GTA (ground test accelerator) Phase 1: Baseline design report

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

Not Available

1986-08-01

The national Neutral Particle Beam (NPB) program has two objectives: to provide the necessary basis for a discriminator/weapon decision by 1992, and to develop the technology in stages that lead ultimately to a neutral particle beam weapon. The ground test accelerator (GTA) is the test bed that permits the advancement of the state-of-the-art under experimental conditions in an integrated automated system mode. An intermediate goal of the GTA program is to support the Integrated Space Experiments, while the ultimate goal is to support the 1992 decision. The GTA system and each of its major subsystems are described, and project schedulesmore » and resource requirements are provided. (LEW)« less

Blunt Cerebrovascular Injuries: Advances in Screening, Imaging, and Management Trends.

PubMed

Nagpal, P; Policeni, B A; Bathla, G; Khandelwal, A; Derdeyn, C; Skeete, D

2017-10-12

Blunt cerebrovascular injury is a relatively uncommon but sometimes life-threatening injury, particularly in patients presenting with ischemic symptoms in that vascular territory. The decision to pursue vascular imaging (generally CT angiography) is based on clinical and imaging findings. Several grading scales or screening criteria have been developed to guide the decision to pursue vascular imaging, as well as to recommend different treatment options for various injuries. The data supporting many of these guidelines and options are limited however. The purpose of this article is to review and compare these scales and criteria and the data supporting clinical efficacy and to make recommendations for future research in this area. © 2017 by American Journal of Neuroradiology.

Decision aids for randomised controlled trials: a qualitative exploration of stakeholders’ views

PubMed Central

Gillies, Katie; Skea, Zoë C; Campbell, Marion K

2014-01-01

Objectives To explore stakeholders’ perceptions of decision aids designed to support the informed consent decision-making process for randomised controlled trials. Design Qualitative semistructured interviews. Participants were provided with prototype trial decision aids in advance to stimulate discussion. Interviews were analysed using an established interpretive approach. Participants 23 stakeholders: Trial Managers (n=5); Research Nurses (n=5); Ethics Committee Chairs (n=5); patients (n=4) and Clinical Principal Investigators (n=4). Setting Embedded within two ongoing randomised controlled trials. All interviews conducted with UK-based participants. Results Certain key aspects (eg, values clarification exercises, presentation of probabilities, experiences of others and balance of options) in the prototype decision aids were perceived by all stakeholders as having a significant advantage (over existing patient information leaflets) in terms of supporting well informed appropriate decisions. However, there were some important differences between the stakeholder groups on specific content (eg, language used in the section on positive and negative features of taking part in a trial and the overall length of the trial decision aids). Generally the stakeholders believed trial decision aids have the potential to better engage potential participants in the decision-making process and allow them to make more personally relevant decisions about their participation. Conclusions Compared to existing patient information leaflets, stakeholders perceived decision aids for trial participation to have the potential to promote a more ‘informed’ decision-making process. Further efforts to develop, refine and formally evaluate trial decision aids should be explored. PMID:25138811

Ubiquitous computing in shared-care environments.

PubMed

Koch, S

2006-07-01

In light of future challenges, such as growing numbers of elderly, increase in chronic diseases, insufficient health care budgets and problems with staff recruitment for the health-care sector, information and communication technology (ICT) becomes a possible means to meet these challenges. Organizational changes such as the decentralization of the health-care system lead to a shift from in-hospital to both advanced and basic home health care. Advanced medical technologies provide solutions for distant home care in form of specialist consultations and home monitoring. Furthermore, the shift towards home health care will increase mobile work and the establishment of shared care teams which require ICT-based solutions that support ubiquitous information access and cooperative work. Clinical documentation and decision support systems are the main ICT-based solutions of interest in the context of ubiquitous computing for shared care environments. This paper therefore describes the prerequisites for clinical documentation and decision support at the point of care, the impact of mobility on the documentation process, and how the introduction of ICT-based solutions will influence organizations and people. Furthermore, the role of dentistry in shared-care environments is discussed and illustrated in the form of a future scenario.

Advanced Computational Framework for Environmental Management ZEM, Version 1.x

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

Vesselinov, Velimir V.; O'Malley, Daniel; Pandey, Sachin

2016-11-04

Typically environmental management problems require analysis of large and complex data sets originating from concurrent data streams with different data collection frequencies and pedigree. These big data sets require on-the-fly integration into a series of models with different complexity for various types of model analyses where the data are applied as soft and hard model constraints. This is needed to provide fast iterative model analyses based on the latest available data to guide decision-making. Furthermore, the data and model are associated with uncertainties. The uncertainties are probabilistic (e.g. measurement errors) and non-probabilistic (unknowns, e.g. alternative conceptual models characterizing site conditions).more » To address all of these issues, we have developed an integrated framework for real-time data and model analyses for environmental decision-making called ZEM. The framework allows for seamless and on-the-fly integration of data and modeling results for robust and scientifically-defensible decision-making applying advanced decision analyses tools such as Bayesian- Information-Gap Decision Theory (BIG-DT). The framework also includes advanced methods for optimization that are capable of dealing with a large number of unknown model parameters, and surrogate (reduced order) modeling capabilities based on support vector regression techniques. The framework is coded in Julia, a state-of-the-art high-performance programing language (http://julialang.org). The ZEM framework is open-source and can be applied to any environmental management site. The framework will be open-source and released under GPL V3 license.« less

Building a Shared Understanding of Phenology

NASA Astrophysics Data System (ADS)

Rosemartin, A.; Posthumus, E.; Gerst, K.

2017-12-01

The USA National Phenology Network (USA-NPN) seeks to advance the science of phenology and support the use of phenology information in decision-making. We envision that natural resource, human health, recreation and land-use decisions, in the context of a variable and changing climate, will be supported by USA-NPN products and tools. To achieve this vision we developed a logic model, breaking down the necessary inputs (e.g., IT infrastructure), participants, activities and the short- to long-term goals (e.g., use of phenological information in adaptive management). Here we compare the ongoing activities and outcomes of three recent collaborations to our logic model, in order to improve the model and inform future collaborations. At Midway Atoll National Wildlife Refuge, resource managers use the USA-NPN's phenology monitoring program to pinpoint the minimum number of days between initial growth and seed set in an invasive species. The data output and calendar visualizations that USA-NPN provides are sufficient to identify the appropriate treatment window. In contrast to a direct relationship with a natural resource manager using USA-NPN tools and products, some collaborations require substantive iterative work between partners. USA-NPN and National Park Service staff, along with academic researchers, assessed advancement in the timing of spring, and delivered the work in a format appropriate for park managers. Lastly, collaborations with indigenous communities reveal a requirement to reconsider the relationship between Western science and indigenous knowledge systems, as well as address ethical considerations and develop trust, before Western science can be meaningfully incorporated into decision-making. While the USA-NPN is a boundary organization, working in between federal agencies, states and universities, and is mandated to support decision-making, we still face challenges in generating usable science. We share lessons learned based on our experience with diverse and evolving partnerships.

Doctors, Lawyers and Advance Care Planning: Time for Innovation to Work Together to Meet Client Needs

PubMed Central

Douglas, Maureen; Simon, Jessica; Fassbender, Konrad

2016-01-01

Health organizations in Canada have invested considerable resources in strategies to improve knowledge and uptake of advance care planning (ACP). Yet barriers persist and many Canadians do not engage in the full range of ACP behaviours, including writing an advance directive and appointing a legally authorized decision-maker. Not engaging effectively in ACP disadvantages patients, their loved ones and their healthcare providers. This article advocates for greater collaboration between health and legal professionals to better support clients in ACP and presents a framework for action to build connections between these typically siloed professions. PMID:28032821

Advance decisions and the Mental Capacity Act.

PubMed

Halliday, Samantha

This article considers the requirements set out in the Mental Capacity Act 2005 for valid advance decisions. The Act recognizes that an adult with capacity may refuse treatment, including life-sustaining treatment, in advance of losing capacity. If that advance decision is valid and applicable, it will bind health-care professionals, taking effect as if the patient had contemporaneously refused the treatment. However, in cases where the advance decision does not relate to treatment for a progressive disease, it will be extremely difficult for the patient to meet the dual specificity requirement - specifying the treatment to be refused and the circumstances in which that refusal should operate. Moreover, while a patient may explicitly revoke an advance decision while she retains the capacity to do so, the continuing validity of an advance decision may be called into question by the patient implicitly revoking her advance refusal or by a change of circumstance. This article concludes that the key to enabling patients to exercise precedent autonomy will be full and frank discussion of the scope and intentions underlying advance decisions between patients and their health-care professionals.

14 CFR 17.33 - Adjudicative Process for contract disputes.

Code of Federal Regulations, 2013 CFR

2013-01-01

.... 17.33 Section 17.33 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF... determined by the DRO or Special Master, and in advance of the decision of the case, the parties shall make... each issue together with citations to the administrative record or other supporting materials; (3...

14 CFR 17.33 - Adjudicative Process for contract disputes.

Code of Federal Regulations, 2014 CFR

2014-01-01

.... 17.33 Section 17.33 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF... determined by the DRO or Special Master, and in advance of the decision of the case, the parties shall make... each issue together with citations to the administrative record or other supporting materials; (3...

14 CFR 17.33 - Adjudicative Process for contract disputes.

Code of Federal Regulations, 2012 CFR

2012-01-01

.... 17.33 Section 17.33 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF... determined by the DRO or Special Master, and in advance of the decision of the case, the parties shall make... each issue together with citations to the administrative record or other supporting materials; (3...

A decision support system for forest harvest planning in North Carolina

Treesearch

D.G. Jones

2010-01-01

Forest preharvest planning (FPP) can enhance recognition of environmentally-sensitive areas in advance of forest harvesting, including soil and water resources. While preharvest planning is often a standard component of many forest harvesting operations, either explicitly with paper-based checklists or implicitly with best professional judgment, Geographic Information...

Quantitative AOP linking aromatase inhibition to impaired reproduction: A case study in predictive ecotoxicology

EPA Science Inventory

The adverse outcome pathway (AOP) framework is intended to help support greater use of mechanistic toxicology data as a basis for risk assessment and/or regulatory decision-making. While there have been clear advances in the ability to rapidly generate mechanistically-oriented da...

12 CFR 614.4260 - Evaluation requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... evaluated on the five basic credit factors, without considering the subject real estate, would support the credit decision that was based on other sources of repayment or collateral; (4) A lien on real estate is..., even with the advancement of new loan funds; (6) A Farm Credit System institution purchases a loan or...

Gauging Disciplinary Engagement with Internationalization: A Survey of Geographers in the United States

ERIC Educational Resources Information Center

Ray, Waverly; Solem, Michael

2009-01-01

As higher education institutions worldwide seek to internationalize academic programmes, questions arise as to how institutions can effectively involve and support faculty in that process. The present study rests on the premise that professional development can play a decisive role in advancing two important components of…

Alaska | State, Local, and Tribal Governments | NREL

Science.gov Websites

Alaska Advancing Energy Solutions in Alaska NREL provides objective, data-driven support to aid decision makers in Alaska as they take actions to deploy sustainable energy technologies, prepare for a clean-energy-driven economic transition, and reduce energy burdens in their jurisdictions. NREL's

The Retention and Attrition of Catholic School Principals

ERIC Educational Resources Information Center

Durow, W. Patrick; Brock, Barbara L.

2004-01-01

This article reports the results of a study of the retention of principals in Catholic elementary and secondary schools in one Midwestern diocese. Findings revealed that personal needs, career advancement, support from employer, and clearly defined role expectations were key factors in principals' retention decisions. A profile of components of…

Chapter 2 evolution of burn management in the u.s. Military: impact on nursing.

PubMed

Schmidt, Patricia; Mann-Salinas, Elizabeth A

2014-01-01

As the only burn center in the Department of Defense, the U.S. Army Institute of Surgical Research is the primary location for care of service members with burn injuries. The combat operations in Iraq and Afghanistan during the past decade have caused an increase in burn patients. As a result of this increased need, advancements in care were developed. The speed and precision of transporting patients from the battlefield to the burn center has improved over previous conflicts. Technological advancements to support treating complications of burn wound healing were leveraged and are now integrated into daily practice. Clinical decision support systems were developed and deployed at the burn center as well as to combat support hospitals in combat zones. Technology advancements in rehabilitation have allowed more service members to return to active duty or live productive civilian lives. All of these advancements were developed in a patient-centered, interdisciplinary environment where the nurses are integrated throughout the research process and clinical practice with the end goal of healing combat burns in mind.

Multimedia decision support intervention: a promising approach to enhance the intention to complete an advance directive among hospitalized adults.

PubMed

Hickman, Ronald L; Lipson, Amy R; Pinto, Melissa D; Pignatiello, Grant

2014-04-01

We 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. We used comparative quasi-experimental posttest 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). 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. 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. ©2013 The Author(s) ©2013 American Association of Nurse Practitioners.

Preserving the Finger Lakes for the Future: A Prototype Decision Support System for Water Resource Management, Open Space, and Agricultural Protection

NASA Technical Reports Server (NTRS)

Brower, Robert

2004-01-01

This report summarizes the activity conducted under NASA Grant NAG13-02059 entitled "Preserving the Finger Lakes for the Future" A Prototype Decision Support System for Water Resources Management, Open Space and Agricultural Protection, for the period of September 26, 2003 to September 25, 2004. The RACNE continues to utilize the services of its affiliate, the Institute for the Application of Geospatial Technology at Cayuga Community College, Inc. (IAGT), for the purposes of this project under its permanent operating agreement with IAGT. IAGT is a 501(c)(3) not-for-profit Corporation created by the RACNE for the purpose of carrying out its programmatic and administrative mission. The "Preserving the Finger Lakes for the Future" project has progressed and evolved as planned, with the continuation or initiation of a number of program facets at programmatic, technical, and inter-agency levels. The project has grown, starting with the well received core concept of the Virtual Management Operations Center (VMOC), to the functional Watershed Virtual Management Operations Center (W-VMOC) prototype, to the more advanced Finger Lakes Decision Support System (FLDSS) prototype, deployed for evaluation and assessment to a wide variety of agencies and organizations in the Finger Lakes region and beyond. This suite of tools offers the advanced, compelling functionality of interactive 3D visualization interfaced with 2D mapping, all accessed via Internet or virtually any kind of distributed computer network.

The science of sustainable supply chains.

PubMed

O'Rourke, Dara

2014-06-06

Recent advances in the science and technology of global supply chain management offer near-real-time demand-response systems for decision-makers across production networks. Technology is helping propel "fast fashion" and "lean manufacturing," so that companies are better able to deliver products consumers want most. Yet companies know much less about the environmental and social impacts of their production networks. The failure to measure and manage these impacts can be explained in part by limitations in the science of sustainability measurement, as well as by weaknesses in systems to translate data into information that can be used by decision-makers inside corporations and government agencies. There also remain continued disincentives for firms to measure and pay the full costs of their supply chain impacts. I discuss the current state of monitoring, measuring, and analyzing information related to supply chain sustainability, as well as progress that has been made in translating this information into systems to advance more sustainable practices by corporations and consumers. Better data, decision-support tools, and incentives will be needed to move from simply managing supply chains for costs, compliance, and risk reduction to predicting and preventing unsustainable practices. Copyright © 2014, American Association for the Advancement of Science.

Case study: technology initiative led to advanced lead optimization screening processes at Bristol-Myers Squibb, 2004-2009.

PubMed

Zhang, Litao; Cvijic, Mary Ellen; Lippy, Jonathan; Myslik, James; Brenner, Stephen L; Binnie, Alastair; Houston, John G

2012-07-01

In this paper, we review the key solutions that enabled evolution of the lead optimization screening support process at Bristol-Myers Squibb (BMS) between 2004 and 2009. During this time, technology infrastructure investment and scientific expertise integration laid the foundations to build and tailor lead optimization screening support models across all therapeutic groups at BMS. Together, harnessing advanced screening technology platforms and expanding panel screening strategy led to a paradigm shift at BMS in supporting lead optimization screening capability. Parallel SAR and structure liability relationship (SLR) screening approaches were first and broadly introduced to empower more-rapid and -informed decisions about chemical synthesis strategy and to broaden options for identifying high-quality drug candidates during lead optimization. Copyright © 2012 Elsevier Ltd. All rights reserved.

Simulation-optimization model for production planning in the blood supply chain.

PubMed

Osorio, Andres F; Brailsford, Sally C; Smith, Honora K; Forero-Matiz, Sonia P; Camacho-Rodríguez, Bernardo A

2017-12-01

Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution. On the other hand, an integer linear optimization model running over a rolling planning horizon is used to support daily decisions, such as the required number of donors, collection methods and production planning. This approach is evaluated using real data from a blood center in Colombia. The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.

An organizational intervention to influence evidence-informed decision making in home health nursing.

PubMed

Gifford, Wendy; Lefebre, Nancy; Davies, Barbara

2014-01-01

The aims of this study were to field test and evaluate a series of organizational strategies to promote evidence-informed decision making (EIDM) by nurse managers and clinical leaders in home healthcare. EIDM is central to delivering high-quality and effective healthcare. Barriers exist and organizational strategies are needed to support EIDM. Management and clinical leaders from 4 units participated in a 20-week organization-focused intervention. Preintervention (n = 32) and postintervention (n = 17) surveys and semistructured interviews (n = 15) were completed. Statistically significant increases were found on 4 of 31 survey items reflecting an increased organizational capacity for participants to acquire and apply research evidence in decision making. Support from designated facilitators with advanced skills in finding, appraising, and applying research was the highest rated intervention strategy. Results are useful to inform the development of organizational infrastructures to increase EIDM capacity in community-based healthcare organizations.

Advance directives as a tool to respect patients' values and preferences: discussion on the case of Alzheimer's disease.

PubMed

Porteri, Corinna

2018-02-20

The proposal of the new criteria for the diagnosis of Alzheimer's disease (AD) based on biomarker data is making possible a diagnosis of AD at the mild cognitive impairment (MCI) or predementia/prodromal- stage. Given the present lack of effective treatments for AD, the opportunity for the individuals to personally take relevant decisions and plan for their future before and if cognitive deterioration occurs is one the main advantages of an early diagnosis. Advance directives are largely seen as an effective tool for planning medical care in the event the subject becomes incompetent. Nevertheless, their value has been questioned with regard to people with dementia by scholars who refer to the arguments of personal identity and of patient's changing interests before and after the onset of dementia. In this paper, I discuss the value of advance directives in Alzheimer's disease and other kind of dementia. Despite critics, I argue that advance directives are especially advisable in dementia and provide reasons in favor of their promotion at an early stage of the disease as a valuable tool to respect patients' values and preferences on medical treatment, including participation in research and end of life decisions. I mainly support advance directives that include both decisions regarding health care and the appointment of an attorney in fact. I conclude that patients with AD at a prodromal or early stage should be offered the opportunity to execute an advance directive, and that not to honor a demented individual's directive would be an unacceptable form of discrimination towards those patients.

The role of advance directives in end-of-life decisions in Austria: survey of intensive care physicians

PubMed Central

2010-01-01

Background Currently, intensive care medicine strives to define a generally accepted way of dealing with end-of-life decisions, therapy limitation and therapy discontinuation. In 2006 a new advance directive legislation was enacted in Austria. Patients may now document their personal views regarding extension of treatment. The aim of this survey was to explore Austrian intensive care physicians' experiences with and their acceptance of the new advance directive legislation two years after enactment (2008). Methods Under the aegis of the OEGARI (Austrian Society of Anaesthesiology, Resuscitation and Intensive Care) an anonymised questionnaire was sent to the medical directors of all intensive care units in Austria. The questions focused on the physicians' experiences regarding advance directives and their level of knowledge about the underlying legislation. Results There were 241 questionnaires sent and 139 were turned, which was a response rate of 58%. About one third of the responders reported having had no experience with advance directives and only 9 directors of intensive care units had dealt with more than 10 advance directives in the previous two years. Life-supporting measures, resuscitation, and mechanical ventilation were the predominantly refused therapies, wishes were mainly expressed concerning pain therapy. Conclusion A response rate of almost 60% proves the great interest of intensive care professionals in making patient-oriented end-of-life decisions. However, as long as patients do not make use of their right of co-determination, the enactment of the new law can be considered only a first important step forward. PMID:20964852

Revitalizing Personalized Medicine: Respecting Biomolecular Complexities Beyond Gene Expression

PubMed Central

Jayachandran, D; Ramkrishna, U; Skiles, J; Renbarger, J; Ramkrishna, D

2014-01-01

Despite recent advancements in “omic” technologies, personalized medicine has not realized its fullest potential due to isolated and incomplete application of gene expression tools. In many instances, pharmacogenomics is being interchangeably used for personalized medicine, when actually it is one of the many facets of personalized medicine. Herein, we highlight key issues that are hampering the advancement of personalized medicine and highlight emerging predictive tools that can serve as a decision support mechanism for physicians to personalize treatments. PMID:24739991

Development and evaluation of a decision aid for patients considering first‐line chemotherapy for metastatic breast cancer

PubMed Central

Chiew, Kimberly S.; Shepherd, Heather; Vardy, Janette; Tattersall, Martin H.N.; Butow, Phyllis N.; Leighl, Natasha B.

2007-01-01

Abstract Objective  Treatment decisions in advanced breast cancer are complex, with enhanced quality of life and survival among important treatment goals. Patients with metastatic breast cancer face the decision of whether or not to have chemotherapy, and many wish to be involved in this decision. We report the development and evaluation of a decision aid (DA) designed to assist patients facing this treatment decision. Design and sample  Women with metastatic breast cancer (n = 17) and medical oncologists in Australia and Canada (n = 7) were invited to evaluate the DA. Intervention  A DA was developed for patients with hormone‐resistant metastatic breast cancer considering chemotherapy. The DA presented options of supportive care, with or without chemotherapy. Potential benefits and side effects of different chemotherapy regimens, and evidence‐based prognostic estimates were described, and a values clarification exercise included. Main outcome measures  Patient questionnaires evaluating information and decision involvement preferences, attitudes toward the DA and oncologist feedback regarding attitudes toward the DA. Results  Seventeen patients participated; fifteen desired as much information about their illness as possible; sixteen wished to be actively involved in the decision‐making process. The majority rated the DA as highly acceptable, clear and informative, and would recommend it to others facing this treatment decision. Conclusion  This is the first DA for patients with advanced metastatic breast cancer considering chemotherapy. A randomized trial is underway to evaluate its role in clinical decision‐making. PMID:18297781

Defining Advance Care Planning for Adults: A Consensus Definition from a Multidisciplinary Delphi Panel

PubMed Central

Sudore, Rebecca L.; Lum, Hillary D.; You, John J.; Hanson, Laura C.; Meier, Diane E.; Pantilat, Steven Z.; Matlock, Daniel D.; Rietjens, Judith A. C.; Korfage, Ida J.; Ritchie, Christine S.; Kutner, Jean S.; Teno, Joan M.; Thomas, Judy; McMahan, Ryan D.; Heyland, Daren K.

2017-01-01

Background Despite increasing interest in advance care planning (ACP) and prior ACP descriptions, a consensus definition does not yet exist to guide clinical, research, and policy initiatives. Objective To develop a consensus definition of ACP for adults. Design Delphi Panel Setting/Participants Participants included a multidisciplinary panel of international ACP experts consisting of 52 clinicians, researchers, and policy leaders from 4 countries, and a patient/surrogate advisory committee. Measurements We conducted 10 rounds of a modified Delphi method and qualitatively analyzed panelists’ input. Panelists identified several themes lacking consensus, and iteratively discussed and developed a final consensus definition. Results Panelists identified several tensions concerning ACP concepts such as whether the definition should focus on conversations vs. written advance directives; patients’ values vs. treatment preferences; current shared decision making vs. future medical decisions; and who should be included in the process. The panel achieved a final consensus one-sentence definition and accompanying goals statement: “Advance care planning is a process that supports adults at any age or stage of health in understanding and sharing their personal values, life goals, and preferences regarding future medical care. The goal of advance care planning is to help ensure that people receive medical care that is consistent with their values, goals and preferences during serious and chronic illness.” The panel also described strategies to best support adults in ACP. Conclusions A multidisciplinary Delphi panel developed a consensus definition for ACP for adults that can be used to inform implementation and measurement of ACP clinical, research, and policy initiatives. PMID:28062339

Defining Advance Care Planning for Adults: A Consensus Definition From a Multidisciplinary Delphi Panel.

PubMed

Sudore, Rebecca L; Lum, Hillary D; You, John J; Hanson, Laura C; Meier, Diane E; Pantilat, Steven Z; Matlock, Daniel D; Rietjens, Judith A C; Korfage, Ida J; Ritchie, Christine S; Kutner, Jean S; Teno, Joan M; Thomas, Judy; McMahan, Ryan D; Heyland, Daren K

2017-05-01

Despite increasing interest in advance care planning (ACP) and previous ACP descriptions, a consensus definition does not yet exist to guide clinical, research, and policy initiatives. The aim of this study was to develop a consensus definition of ACP for adults. We convened a Delphi panel of multidisciplinary, international ACP experts consisting of 52 clinicians, researchers, and policy leaders from four countries and a patient/surrogate advisory committee. We conducted 10 rounds using a modified Delphi method and qualitatively analyzed panelists' input. Panelists identified several themes lacking consensus and iteratively discussed and developed a final consensus definition. Panelists identified several tensions concerning ACP concepts such as whether the definition should focus on conversations vs. written advance directives; patients' values vs. treatment preferences; current shared decision making vs. future medical decisions; and who should be included in the process. The panel achieved a final consensus one-sentence definition and accompanying goals statement: "Advance care planning is a process that supports adults at any age or stage of health in understanding and sharing their personal values, life goals, and preferences regarding future medical care. The goal of advance care planning is to help ensure that people receive medical care that is consistent with their values, goals and preferences during serious and chronic illness." The panel also described strategies to best support adults in ACP. A multidisciplinary Delphi panel developed a consensus definition for ACP for adults that can be used to inform implementation and measurement of ACP clinical, research, and policy initiatives. Published by Elsevier Inc.

High performance flight computer developed for deep space applications

NASA Technical Reports Server (NTRS)

Bunker, Robert L.

1993-01-01

The development of an advanced space flight computer for real time embedded deep space applications which embodies the lessons learned on Galileo and modern computer technology is described. The requirements are listed and the design implementation that meets those requirements is described. The development of SPACE-16 (Spaceborne Advanced Computing Engine) (where 16 designates the databus width) was initiated to support the MM2 (Marine Mark 2) project. The computer is based on a radiation hardened emulation of a modern 32 bit microprocessor and its family of support devices including a high performance floating point accelerator. Additional custom devices which include a coprocessor to improve input/output capabilities, a memory interface chip, and an additional support chip that provide management of all fault tolerant features, are described. Detailed supporting analyses and rationale which justifies specific design and architectural decisions are provided. The six chip types were designed and fabricated. Testing and evaluation of a brass/board was initiated.

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 article provides examples of each feature. The DS literature also emphasizes the importance of organizational culture and training in implementation success. The literature contrasts “rational-analytic” vs. “naturalistic-intuitive” decision-making styles, but the best approach is often a balanced approach that combines both styles. It is also important for DS systems to enable exploration of multiple assumptions, and incorporation of new information in response to changing circumstances. Conclusions Complex, high-level decision-making has common features across disciplines as seemingly disparate as defense, business, and healthcare. National efforts to advance the health information technology agenda through broader CDS adoption could benefit by applying the DS principles identified in this review. PMID:22900537

Scientists and Stakeholders in the Chesapeake Bay: How the Mid-Atlantic RISA Strengthens Climate Resilience Through Participatory Decision-Making Processes

NASA Astrophysics Data System (ADS)

Knopman, D.; Berg, N.

2017-12-01

The NOAA Mid-Atlantic Regional Integrated Sciences and Assessments (MARISA) program was formed in September 2016 to increase climate resilience in the Mid-Atlantic, with an initial focus on the Chesapeake Bay Watershed. In this talk, we will discuss how the program's unique structure and approach are designed to advance resilience to a changing climate through improved data, place-based decision support, and public engagement. Emphasis will be placed on MARISA's approach to integrating stakeholder perspectives from the onset of decision scoping, through the creation of actionable data sets, and concluding with the co-development of adaptation strategies between the scientific community, decision-makers, and stakeholders. Specific examples of this process involving climate-sensitive decisions and investments regarding water resources, land management, and urban corridors will be discussed.

Evaluation of the operational and demonstration test of short-range weather forecasting decision support within an advanced rural traveler information system

DOT National Transportation Integrated Search

1996-11-01

THIS IS THE TECHNICAL SUMMARY OF THE RESEARCH REPORT, COMMERCIAL MOTOR VEHICLE DRIVER FATIOUE AND ALERTNESS STUDY BY WYLIE ET AL., THE LARGEST AND MOST COMPREHENSIVE OVER-THE-ROAD STUDY ON THIS SUBJECT EVER CONDUCTED IN NORTH AMERICA. THE DATA COLLEC...

Information and knowledge management in support of sustainable forestry: a review

Treesearch

H. Michael Rauscher; Daniel L. Schmoldt; Harald Vacik

2007-01-01

For individuals, organizations and nations, success and even survival depend upon making good decisions. Doing so can be extremely difficult when problems are not well structured and situations are complex, as they are for natural resource management. Recent advances in computer technology coupled with the increase in accessibility brought about by the...

Integration of Voice, Data and Image as a Factor in Information Planning. AIR Forum 1981 Paper.

ERIC Educational Resources Information Center

Sheehan, Bernard S.; McMinn, William B.

Technological advances in computers and telecommunications that have significantly changed higher education are analyzed within a framework that associates technologies, applications, and aspects of institutions that are affected. Two further frameworks, one for information systems suggested by decision support systems study and one which is a map…

Implementation of Computer Based Management Information Systems: A Behavioral Perspective.

ERIC Educational Resources Information Center

Lilly, Edward R.

In the past decade significant advances have taken place in the development of management information systems (MIS) to support managerial decision making. Recent literature has shown, however, that educators have yet to make full and efficient use of these computer-based systems. A number of authors have discussed factors that may affect…

2011 Census of Technology: Missouri Schools K-12

ERIC Educational Resources Information Center

Missouri Department of Elementary and Secondary Education, 2012

2012-01-01

The Census of Technology (COT) is designed to assess Missouri's continuing investment in K-12 education technologies. The COT provides important data for the Department of Elementary and Secondary Education (DESE) to share with state and national decision-makers to help advance public policy and increase public awareness and support for education…

A Biologically Informed Framework for the Analysis of the PPAR Signaling Pathway using a Bayesian Network

EPA Science Inventory

The US EPA’s ToxCastTM program seeks to combine advances in high-throughput screening technology with methodologies from statistics and computer science to develop high-throughput decision support tools for assessing chemical hazard and risk. To develop new methods of analysis of...

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.

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

Adams, Brian M.; Coleman, Kayla; Hooper, Russell

2016-11-01

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility.

Decision Support Tool Evaluation Report for General NOAA Oil Modeling Environment(GNOME) Version 2.0

NASA Technical Reports Server (NTRS)

Spruce, Joseph P.; Hall, Callie; Zanoni, Vicki; Blonski, Slawomir; D'Sa, Eurico; Estep, Lee; Holland, Donald; Moore, Roxzana F.; Pagnutti, Mary; Terrie, Gregory

2004-01-01

NASA's Earth Science Applications Directorate evaluated the potential of NASA remote sensing data and modeling products to enhance the General NOAA Oil Modeling Environment (GNOME) decision support tool. NOAA's Office of Response and Restoration (OR&R) Hazardous Materials (HAZMAT) Response Division is interested in enhancing GNOME with near-realtime (NRT) NASA remote sensing products on oceanic winds and ocean circulation. The NASA SeaWinds sea surface wind and Jason-1 sea surface height NRT products have potential, as do sea surface temperature and reflectance products from the Moderate Resolution Imaging Spectroradiometer and sea surface reflectance products from Landsat and the Advanced Spaceborne Thermal Emission and Reflectance Radiometer. HAZMAT is also interested in the Advanced Circulation model and the Ocean General Circulation Model. Certain issues must be considered, including lack of data continuity, marginal data redundancy, and data formatting problems. Spatial resolution is an issue for near-shore GNOME applications. Additional work will be needed to incorporate NASA inputs into GNOME, including verification and validation of data products, algorithms, models, and NRT data.

Assessing the information desire of patients with advanced cancer by providing information with a decision aid, which is evaluated in a randomized trial: a study protocol.

PubMed

Oostendorp, Linda J M; Ottevanger, Petronella B; van der Graaf, Winette T A; Stalmeier, Peep F M

2011-02-14

There is a continuing debate on the desirability of informing patients with cancer and thereby involving them in treatment decisions. On the one hand, information uptake may be hampered, and additional stress could be inflicted by involving these patients. On the other hand, even patients with advanced cancer desire information on risks and prognosis. To settle the debate, a decision aid will be developed and presented to patients with advanced disease at the point of decision making. The aid is used to assess the amount of information desired. Factors related to information desire are explored, as well as the ability of the medical oncologist to judge the patient's information desire. The effects of the information on patient well-being are assessed by comparing the decision aid group with a usual care group. This study is a randomized controlled trial of patients with advanced colorectal, breast, or ovarian cancer who have started treatment with first-line palliative chemotherapy. The trial will consist of 100 patients in the decision aid group and 70 patients in the usual care group. To collect complete data of 170 patients, 246 patients will be approached for the study. Patients will complete a baseline questionnaire on sociodemographic data, well-being measures, and psychological measures, believed to predict information desire. The medical oncologist will judge the patient's information desire. After disease progression is diagnosed, the medical oncologist offers the choice between second-line palliative chemotherapy plus best supportive care (BSC) and BSC alone. Randomization will take place to determine whether patients will receive usual care (n = 70) or usual care and the decision aid (n = 100). The aid offers information about the potential risks and benefits of both treatment options, in terms of adverse events, tumour response, and survival. Patients decide for each item whether they desire the information or not. Two follow-up questionnaires will evaluate the effect of the decision aid. This study attempts to settle the debate on the desirability of informing patients with cancer. In contrast to several earlier studies, we will actually deliver information on treatment options to patients at the point of decision making.

Advanced Technology Multiple Criteria Decision Model.

DTIC Science & Technology

1981-11-01

ratings of the sys- tem parameters; and (3), HEADER which contains information on the structure of the problem and titles. Two supporting programs develop...in these files are given in Section V.2. 2. DATA STRUCTURE TABLES This section describes the data files used in the system selection model program ...the supporting program PPP and an input file to UPPP and SSMP. Figure 13 shows the structure of this file. b. User’s preference package (UPP) UPP is

Embedding technology into inter-professional best practices in home safety evaluation.

PubMed

Burns, Suzanne Perea; Pickens, Noralyn Davel

2017-08-01

To explore inter-professional home evaluators' perspectives and needs for building useful and acceptable decision-support tools for the field of home modifications. Twenty semi-structured interviews were conducted with a range of home modification professionals from different regions of the United States. The interview transcripts were analyzed with a qualitative, descriptive, perspective approach. Technology supports current best practice and has potential to inform decision making through features that could enhance home evaluation processes, quality, efficiency and inter-professional communication. Technological advances with app design have created numerous opportunities for the field of home modifications. Integrating technology and inter-professional best practices will improve home safety evaluation and intervention development to meet client-centred and societal needs. Implications for rehabilitation Understanding home evaluators technology needs for home safety evaluations contributes to the development of app-based assessments. Integrating inter-professional perspectives of best practice and technological needs in an app for home assessments improves processes. Novice and expert home evaluators would benefit from decision support systems embedded in app-based assessments. Adoption of app-based assessment would improve efficiency while remaining client-centred.

Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard.

PubMed

Faiola, Anthony; Srinivas, Preethi; Duke, Jon

2015-01-01

Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.

Multiple Criteria Decision Analysis (MCDA) for evaluating new medicines in Health Technology Assessment and beyond: The Advance Value Framework.

PubMed

Angelis, Aris; Kanavos, Panos

2017-09-01

Escalating drug prices have catalysed the generation of numerous "value frameworks" with the aim of informing payers, clinicians and patients on the assessment and appraisal process of new medicines for the purpose of coverage and treatment selection decisions. Although this is an important step towards a more inclusive Value Based Assessment (VBA) approach, aspects of these frameworks are based on weak methodologies and could potentially result in misleading recommendations or decisions. In this paper, a Multiple Criteria Decision Analysis (MCDA) methodological process, based on Multi Attribute Value Theory (MAVT), is adopted for building a multi-criteria evaluation model. A five-stage model-building process is followed, using a top-down "value-focused thinking" approach, involving literature reviews and expert consultations. A generic value tree is structured capturing decision-makers' concerns for assessing the value of new medicines in the context of Health Technology Assessment (HTA) and in alignment with decision theory. The resulting value tree (Advance Value Tree) consists of three levels of criteria (top level criteria clusters, mid-level criteria, bottom level sub-criteria or attributes) relating to five key domains that can be explicitly measured and assessed: (a) burden of disease, (b) therapeutic impact, (c) safety profile (d) innovation level and (e) socioeconomic impact. A number of MAVT modelling techniques are introduced for operationalising (i.e. estimating) the model, for scoring the alternative treatment options, assigning relative weights of importance to the criteria, and combining scores and weights. Overall, the combination of these MCDA modelling techniques for the elicitation and construction of value preferences across the generic value tree provides a new value framework (Advance Value Framework) enabling the comprehensive measurement of value in a structured and transparent way. Given its flexibility to meet diverse requirements and become readily adaptable across different settings, the Advance Value Framework could be offered as a decision-support tool for evaluators and payers to aid coverage and reimbursement of new medicines. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems

PubMed Central

Menychtas, Andreas; Tsanakas, Panayiotis

2016-01-01

The proper acquisition of biosignals data from various biosensor devices and their remote accessibility are still issues that prevent the wide adoption of point-of-care systems in the routine of monitoring chronic patients. This Letter presents an advanced framework for enabling patient monitoring that utilises a cloud computing infrastructure for data management and analysis. The framework introduces also a local mechanism for uniform biosignals collection from wearables and biosignal sensors, and decision support modules, in order to enable prompt and essential decisions. A prototype smartphone application and the related cloud modules have been implemented for demonstrating the value of the proposed framework. Initial results regarding the performance of the system and the effectiveness in data management and decision-making have been quite encouraging. PMID:27222731

Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems.

PubMed

Menychtas, Andreas; Tsanakas, Panayiotis; Maglogiannis, Ilias

2016-03-01

The proper acquisition of biosignals data from various biosensor devices and their remote accessibility are still issues that prevent the wide adoption of point-of-care systems in the routine of monitoring chronic patients. This Letter presents an advanced framework for enabling patient monitoring that utilises a cloud computing infrastructure for data management and analysis. The framework introduces also a local mechanism for uniform biosignals collection from wearables and biosignal sensors, and decision support modules, in order to enable prompt and essential decisions. A prototype smartphone application and the related cloud modules have been implemented for demonstrating the value of the proposed framework. Initial results regarding the performance of the system and the effectiveness in data management and decision-making have been quite encouraging.

The STARTEC Decision Support Tool for Better Tradeoffs between Food Safety, Quality, Nutrition, and Costs in Production of Advanced Ready-to-Eat Foods.

PubMed

Skjerdal, Taran; Gefferth, Andras; Spajic, Miroslav; Estanga, Edurne Gaston; de Cecare, Alessandra; Vitali, Silvia; Pasquali, Frederique; Bovo, Federica; Manfreda, Gerardo; Mancusi, Rocco; Trevisiani, Marcello; Tessema, Girum Tadesse; Fagereng, Tone; Moen, Lena Haugland; Lyshaug, Lars; Koidis, Anastasios; Delgado-Pando, Gonzalo; Stratakos, Alexandros Ch; Boeri, Marco; From, Cecilie; Syed, Hyat; Muccioli, Mirko; Mulazzani, Roberto; Halbert, Catherine

2017-01-01

A prototype decision support IT-tool for the food industry was developed in the STARTEC project. Typical processes and decision steps were mapped using real life production scenarios of participating food companies manufacturing complex ready-to-eat foods. Companies looked for a more integrated approach when making food safety decisions that would align with existing HACCP systems. The tool was designed with shelf life assessments and data on safety, quality, and costs, using a pasta salad meal as a case product. The process flow chart was used as starting point, with simulation options at each process step. Key parameters like pH, water activity, costs of ingredients and salaries, and default models for calculations of Listeria monocytogenes , quality scores, and vitamin C, were placed in an interactive database. Customization of the models and settings was possible on the user-interface. The simulation module outputs were provided as detailed curves or categorized as "good"; "sufficient"; or "corrective action needed" based on threshold limit values set by the user. Possible corrective actions were suggested by the system. The tool was tested and approved by end-users based on selected ready-to-eat food products. Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users.

The STARTEC Decision Support Tool for Better Tradeoffs between Food Safety, Quality, Nutrition, and Costs in Production of Advanced Ready-to-Eat Foods

PubMed Central

Gefferth, Andras; Spajic, Miroslav; Estanga, Edurne Gaston; Vitali, Silvia; Pasquali, Frederique; Bovo, Federica; Manfreda, Gerardo; Mancusi, Rocco; Tessema, Girum Tadesse; Fagereng, Tone; Moen, Lena Haugland; Lyshaug, Lars; Koidis, Anastasios; Delgado-Pando, Gonzalo; Stratakos, Alexandros Ch.; Boeri, Marco; From, Cecilie; Syed, Hyat; Muccioli, Mirko; Mulazzani, Roberto; Halbert, Catherine

2017-01-01

A prototype decision support IT-tool for the food industry was developed in the STARTEC project. Typical processes and decision steps were mapped using real life production scenarios of participating food companies manufacturing complex ready-to-eat foods. Companies looked for a more integrated approach when making food safety decisions that would align with existing HACCP systems. The tool was designed with shelf life assessments and data on safety, quality, and costs, using a pasta salad meal as a case product. The process flow chart was used as starting point, with simulation options at each process step. Key parameters like pH, water activity, costs of ingredients and salaries, and default models for calculations of Listeria monocytogenes, quality scores, and vitamin C, were placed in an interactive database. Customization of the models and settings was possible on the user-interface. The simulation module outputs were provided as detailed curves or categorized as “good”; “sufficient”; or “corrective action needed” based on threshold limit values set by the user. Possible corrective actions were suggested by the system. The tool was tested and approved by end-users based on selected ready-to-eat food products. Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users. PMID:29457031

Managing cancer and employment: Decisions and strategies used by breast cancer survivors employed in low-wage jobs

PubMed Central

Swanberg, Jennifer E.; Nichols, Helen M.; Ko, Jungyai; Tracy, J. Kathleen; Vanderpool, Robin C.

2017-01-01

Advances in breast cancer screening and treatment have led to an overall 5-year survival rate of 90%. Many of these cancer cases are diagnosed in working women. Few studies have explicitly examined the cancer–work interface, as experienced by low-wage earning women with breast cancer. This study uses in-depth, semistructured interviews with 24 low-wage breast cancer survivors to identify employment decisions and factors that influenced or enabled these decisions, and examine the individual strategies and workplace supports used to manage the cancer–work interface among a subset of women (n = 13) who continued to work. Future research areas and clinical implications are discussed. PMID:28045595

Managing cancer and employment: Decisions and strategies used by breast cancer survivors employed in low-wage jobs.

PubMed

Swanberg, Jennifer E; Nichols, Helen M; Ko, Jungyai; Tracy, J Kathleen; Vanderpool, Robin C

2017-01-01

Advances in breast cancer screening and treatment have led to an overall 5-year survival rate of 90%. Many of these cancer cases are diagnosed in working women. Few studies have explicitly examined the cancer-work interface, as experienced by low-wage earning women with breast cancer. This study uses in-depth, semistructured interviews with 24 low-wage breast cancer survivors to identify employment decisions and factors that influenced or enabled these decisions, and examine the individual strategies and workplace supports used to manage the cancer-work interface among a subset of women (n = 13) who continued to work. Future research areas and clinical implications are discussed.

A decision support system for drinking water production integrating health risks assessment.

PubMed

Delpla, Ianis; Monteith, Donald T; Freeman, Chris; Haftka, Joris; Hermens, Joop; Jones, Timothy G; Baurès, Estelle; Jung, Aude-Valérie; Thomas, Olivier

2014-07-18

The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.

Advance decision.

PubMed

Samuels, Alec; Barrister, J P

2007-10-01

In the UK, patients have a statutory right to refuse treatment. Parliament has authorised 'advance decision' whereby a person can specify his or her wishes regarding further medical treatment. Although the advance decision may give a person peace of mind, it could create real problems for doctors and other healthcare professionals. This article will examine the conditions and procedures surrounding the drawing up of an advance decision as well as some of the problems that could arise such as layman's language.

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

Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.

The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support Systemmore » (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.« less

Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.

PubMed

Tan, Yu-Mei; Worley, Rachel R; Leonard, Jeremy A; Fisher, Jeffrey W

2018-04-01

The development and application of physiologically based pharmacokinetic (PBPK) models in chemical toxicology have grown steadily since their emergence in the 1980s. However, critical evaluation of PBPK models to support public health decision-making across federal agencies has thus far occurred for only a few environmental chemicals. In order to encourage decision-makers to embrace the critical role of PBPK modeling in risk assessment, several important challenges require immediate attention from the modeling community. The objective of this contemporary review is to highlight 3 of these challenges, including: (1) difficulties in recruiting peer reviewers with appropriate modeling expertise and experience; (2) lack of confidence in PBPK models for which no tissue/plasma concentration data exist for model evaluation; and (3) lack of transferability across modeling platforms. Several recommendations for addressing these 3 issues are provided to initiate dialog among members of the PBPK modeling community, as these issues must be overcome for the field of PBPK modeling to advance and for PBPK models to be more routinely applied in support of public health decision-making.

Moral disengagement in ethical decision making: a study of antecedents and outcomes.

PubMed

Detert, James R; Treviño, Linda Klebe; Sweitzer, Vicki L

2008-03-01

This article advances understanding of the antecedents and outcomes of moral disengagement by testing hypotheses with 3 waves of survey data from 307 business and education undergraduate students. The authors theorize that 6 individual differences will either increase or decrease moral disengagement, defined as a set of cognitive mechanisms that deactivate moral self-regulatory processes and thereby help to explain why individuals often make unethical decisions without apparent guilt or self-censure (Bandura, 1986). Results support 4 individual difference hypotheses, specifically, that empathy and moral identity are negatively related to moral disengagement, while trait cynicism and chance locus of control orientation are positively related to moral disengagement. Two additional locus of control orientations are not significantly related to moral disengagement. The authors also hypothesize and find that moral disengagement is positively related to unethical decision making. Finally, the authors hypothesize that moral disengagement plays a mediating role between the individual differences they studied and unethical decisions. Their results offer partial support for these mediating hypotheses. The authors discuss the implications of these findings for future research and for practice. Copyright 2008 APA

A new ball game: the United Nations Convention on the Rights of Persons with Disabilities and assumptions in care for people with dementia.

PubMed

Smith, Anita; Sullivan, Danny

2012-09-01

The United Nations Convention on the Rights of Persons with Disabilities is a powerful international instrument which imposes significant responsibilities on signatories. This column discusses changes in the definition of legal capacity which will have significant impacts on decision-making related to people with dementia. Various restrictions and limitations on personal freedoms are discussed in light of the Convention. The main focus is on challenges to existing paradigms of substitute decision-making, which are in wide use through a guardianship model. Under Art 12 of the Convention, moves to supported decision-making will result in significant changes in ensuring the rights of people with dementia. There are challenges ahead in implementing supported decision-making schemes, not only due to tension with existing practices and legislation, but also the difficulty of developing and resourcing workable schemes. This is particularly so with advanced dementia, which is acknowledged as a pressing issue for Australia due to effective health care, an ageing population and changing expectations.

In the patient's best interest: appraising social network site information for surrogate decision making.

PubMed

Siddiqui, Shahla; Chuan, Voo Teck

2018-06-28

This paper will discuss why and how social network sites ought to be used in surrogate decision making (SDM), with focus on a context like Singapore in which substituted judgment is incorporated as part of best interest assessment for SDM, as guided by the Code of Practice for making decisions for those lacking mental capacity under the Mental Capacity Act (2008). Specifically, the paper will argue that the Code of Practice already supports an ethical obligation, as part of a patient-centred care approach, to look for and appraise social network site (SNS) as a source of information for best interest decision making. As an important preliminary, the paper will draw on Berg's arguments to support the use of SNS information as a resource for SDM. It will also supplement her account for how SNS information ought to be weighed against or considered alongside other evidence of patient preference or wishes, such as advance directives and anecdotal accounts by relatives. © Author(s) (or their employer(s)) 2018. No commercial re-use. See rights and permissions. Published by BMJ.

Women's health nursing in the context of the National Health Information Infrastructure.

PubMed

Jenkins, Melinda L; Hewitt, Caroline; Bakken, Suzanne

2006-01-01

Nurses must be prepared to participate in the evolving National Health Information Infrastructure and the changes that will consequently occur in health care practice and documentation. Informatics technologies will be used to develop electronic health records with integrated decision support features that will likely lead to enhanced health care quality and safety. This paper provides a summary of the National Health Information Infrastructure and highlights electronic health records and decision support systems within the context of evidence-based practice. Activities at the Columbia University School of Nursing designed to prepare nurses with the necessary informatics competencies to practice in a National Health Information Infrastructure-enabled health care system are described. Data are presented from electronic (personal digital assistant) encounter logs used in our Women's Health Nurse Practitioner program to support evidence-based advanced practice nursing care. Implications for nursing practice, education, and research in the evolving National Health Information Infrastructure are discussed.

Modern and prospective technologies for weather modification activities: A look at integrating unmanned aircraft systems

NASA Astrophysics Data System (ADS)

Axisa, Duncan; DeFelice, Tom P.

2016-09-01

Present-day weather modification technologies are scientifically based and have made controlled technological advances since the late 1990s, early 2000s. The technological advances directly related to weather modification have primarily been in the decision support and evaluation based software and modeling areas. However, there have been some technological advances in other fields that might now be advanced enough to start considering their usefulness for improving weather modification operational efficiency and evaluation accuracy. We consider the programmatic aspects underlying the development of new technologies for use in weather modification activities, identifying their potential benefits and limitations. We provide context and initial guidance for operators that might integrate unmanned aircraft systems technology in future weather modification operations.

Selection of Film Clips and Development of a Video for the Investigation of Sexual Decision Making among Men Who Have Sex with Men

PubMed Central

Woolf-King, Sarah E.; Maisto, Stephen; Carey, Michael; Vanable, Peter

2013-01-01

Experimental research on sexual decision making is limited, despite the public health importance of such work. We describe formative work conducted in advance of an experimental study designed to evaluate the effects of alcohol intoxication and sexual arousal on risky sexual decision making among men who have sex with men. In Study 1, we describe the procedures for selecting and validating erotic film clips (to be used for the experimental manipulation of arousal). In Study 2, we describe the tailoring of two interactive role-play videos to be used to measure risk perception and communication skills in an analog risky sex situation. Together, these studies illustrate a method for creating experimental stimuli to investigate sexual decision making in a laboratory setting. Research using this approach will support experimental research that affords a stronger basis for drawing causal inferences regarding sexual decision making. PMID:19760530

Towards knowledge-based systems in clinical practice: development of an integrated clinical information and knowledge management support system.

PubMed

Kalogeropoulos, Dimitris A; Carson, Ewart R; Collinson, Paul O

2003-09-01

Given that clinicians presented with identical clinical information will act in different ways, there is a need to introduce into routine clinical practice methods and tools to support the scientific homogeneity and accountability of healthcare decisions and actions. The benefits expected from such action include an overall reduction in cost, improved quality of care, patient and public opinion satisfaction. Computer-based medical data processing has yielded methods and tools for managing the task away from the hospital management level and closer to the desired disease and patient management level. To this end, advanced applications of information and disease process modelling technologies have already demonstrated an ability to significantly augment clinical decision making as a by-product. The wide-spread acceptance of evidence-based medicine as the basis of cost-conscious and concurrently quality-wise accountable clinical practice suffices as evidence supporting this claim. Electronic libraries are one-step towards an online status of this key health-care delivery quality control environment. Nonetheless, to date, the underlying information and knowledge management technologies have failed to be integrated into any form of pragmatic or marketable online and real-time clinical decision making tool. One of the main obstacles that needs to be overcome is the development of systems that treat both information and knowledge as clinical objects with same modelling requirements. This paper describes the development of such a system in the form of an intelligent clinical information management system: a system which at the most fundamental level of clinical decision support facilitates both the organised acquisition of clinical information and knowledge and provides a test-bed for the development and evaluation of knowledge-based decision support functions.

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

PubMed

Kawamoto, Kensaku; Lobach, David F; Willard, Huntington F; Ginsburg, Geoffrey S

2009-03-23

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. 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. 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 leveraging these knowledge repositories to generate patient-specific care recommendations at the point of care.

Payload accommodations. Avionics payload support architecture

NASA Technical Reports Server (NTRS)

Creasy, Susan L.; Levy, C. D.

1990-01-01

Concepts for vehicle and payload avionics architectures for future NASA programs, including the Assured Shuttle Access program, Space Station Freedom (SSF), Shuttle-C, Advanced Manned Launch System (AMLS), and the Lunar/Mars programs are discussed. Emphasis is on the potential available to increase payload services which will be required in the future, while decreasing the operational cost/complexity by utilizing state of the art advanced avionics systems and a distributed processing architecture. Also addressed are the trade studies required to determine the optimal degree of vehicle (NASA) to payload (customer) separation and the ramifications of these decisions.

‘I'll be in a safe place’: a qualitative study of the decisions taken by people with advanced cancer to seek emergency department care

PubMed Central

Henson, Lesley A; Higginson, Irene J; Daveson, Barbara A; Ellis-Smith, Clare; Koffman, Jonathan; Morgan, Myfanwy; Gao, Wei

2016-01-01

Objective To explore the decisions of people with advanced cancer and their caregivers to seek emergency department (ED) care, and understand the issues that influence the decision-making process. Design Cross-sectional qualitative study incorporating semistructured patient and caregiver interviews. Methods Between December 2014 and July 2015, semistructured interviews were conducted with 18 people with advanced cancer, all of whom had recently attended the ED of a large university teaching hospital located in south-east London; and six of their caregivers. Interviews were audio recorded, transcribed verbatim and analysed using a constant comparative approach. Padgett and Brodsky's modified version of the ‘Behavioral Model of Health Services Use’ was used as a framework to guide the study. Results Issues influencing the decision-making process included: (1) disease-related anxiety—those with greater anxiety related to their cancer diagnosis interpreted their symptoms as more severe and/or requiring immediate attention; (2) prior patterns of health-seeking behaviour—at times of crisis participants defaulted to previously used services; (3) feelings of safety and familiarity with the hospital setting—many felt reassured by the presence of healthcare professionals and monitoring of their condition; and, (4) difficulties accessing community healthcare services—especially urgently and/or out-of-hours. Conclusions These data provide healthcare professionals and policymakers with a greater understanding of how systems of care may be developed to help reduce ED visits by people with advanced cancer. In particular, our findings suggest that the number of ED visits could be reduced with greater end-of-life symptom support and education, earlier collaboration between oncology and palliative care, and with increased access to community healthcare services. PMID:27807085

Qualitative Interviews Exploring Palliative Care Perspectives of Latinos on Dialysis.

PubMed

Cervantes, Lilia; Jones, Jacqueline; Linas, Stuart; Fischer, Stacy

2017-05-08

Compared with non-Latino whites with advanced illness, Latinos are less likely to have an advance directive or to die with hospice services. To improve palliative care disparities, international ESRD guidelines call for increased research on culturally responsive communication of advance care planning (ACP). The objective of our study was to explore the preferences of Latino patients receiving dialysis regarding symptom management and ACP. Qualitative study design using semistructured face-to-face interviews of 20 Latinos on hemodialysis between February and July of 2015. Data were analyzed using thematic analysis. Four themes were identified: Avoiding harms of medication (fear of addiction and damage to bodies, effective distractions, reliance on traditional remedies, fatalism: the sense that one's illness is deserved punishment); barriers and facilitators to ACP: faith, family, and home (family group decision-making, family reluctance to have ACP conversations, flexible decision-making conversations at home with family, ACP conversations incorporating trust and linguistic congruency, family-first and faith-driven decisions); enhancing wellbeing day-to-day (supportive relationships, improved understanding of illness leads to adherence, recognizing new self-value, maintaining a positive outlook); and distressing aspects of living with their illness (dietary restriction is culturally isolating and challenging for families, logistic challenges and socioeconomic disadvantage compounded by health literacy and language barriers, required rapid adjustments to chronic illness, demanding dialysis schedule). Latinos described unique cultural preferences such as avoidance of medications for symptom alleviation and a preference to have family group decision-making and ACP conversations at home. Understanding and integrating cultural values and preferences into palliative care offers the potential to improve disparities and achieve quality patient-centered care for Latinos with advanced illness. Copyright © 2017 by the American Society of Nephrology.

Qualitative Interviews Exploring Palliative Care Perspectives of Latinos on Dialysis

PubMed Central

Jones, Jacqueline; Linas, Stuart; Fischer, Stacy

2017-01-01

Background and objectives Compared with non-Latino whites with advanced illness, Latinos are less likely to have an advance directive or to die with hospice services. To improve palliative care disparities, international ESRD guidelines call for increased research on culturally responsive communication of advance care planning (ACP). The objective of our study was to explore the preferences of Latino patients receiving dialysis regarding symptom management and ACP. Design, setting, participants, & measurements Qualitative study design using semistructured face-to-face interviews of 20 Latinos on hemodialysis between February and July of 2015. Data were analyzed using thematic analysis. Results Four themes were identified: Avoiding harms of medication (fear of addiction and damage to bodies, effective distractions, reliance on traditional remedies, fatalism: the sense that one’s illness is deserved punishment); barriers and facilitators to ACP: faith, family, and home (family group decision-making, family reluctance to have ACP conversations, flexible decision-making conversations at home with family, ACP conversations incorporating trust and linguistic congruency, family-first and faith-driven decisions); enhancing wellbeing day-to-day (supportive relationships, improved understanding of illness leads to adherence, recognizing new self-value, maintaining a positive outlook); and distressing aspects of living with their illness (dietary restriction is culturally isolating and challenging for families, logistic challenges and socioeconomic disadvantage compounded by health literacy and language barriers, required rapid adjustments to chronic illness, demanding dialysis schedule). Conclusions Latinos described unique cultural preferences such as avoidance of medications for symptom alleviation and a preference to have family group decision-making and ACP conversations at home. Understanding and integrating cultural values and preferences into palliative care offers the potential to improve disparities and achieve quality patient-centered care for Latinos with advanced illness. PMID:28404600

Advanced Clinical Decision Support for Transport of the Critically Ill Patient

DTIC Science & Technology

2012-10-01

status   epilepticus ...2013   Q2   2013   Q3   Status   1                   On  Schedule   1a...ii. status  asthmaticus,     iii. sedation  and  analgesia,     iv. mechanical  ventilator  management  for  children

Extreme Measures: A Personal Story of Letting Go

ERIC Educational Resources Information Center

Crow, Laura

2006-01-01

The decision to withdraw life support from a loved one, especially in the absence of an advance directive, can be complicated and painful. This article is the author's personal account of her brother's brain injury, his resulting condition, and the choice made to allow his death. In addition, the author discusses how this experience affected her…

School-Based Clinics: A Guide for Advocates. Developing Policy Statements, Educating Decision Makers, Enlisting Local Support.

ERIC Educational Resources Information Center

Center for Population Options, Washington, DC.

School-based clinics (SBCs) are comprehensive primary health care facilities located within or on the grounds of middle, junior, or senior high schools. Varying in size and organizational structure, SBCs have emerged as an effective model for advancing adolescent health. They have gained attention because of their potential for treating problems…

An Advanced Multiple Alternatives Modeling Formulation for Determining Graduated Fiscal Support Strategies for Operational and Planned Educational Programs.

ERIC Educational Resources Information Center

Wholeben, Brent Edward

A rationale is presented for viewing the decision-making process inherent in determining budget reductions for educational programs as most effectively modeled by a graduated funding approach. The major tenets of the graduated budget reduction approach to educational fiscal policy include the development of multiple alternative reduction plans, or…

Advanced Decentralized Water/Energy Network Design for Sustainable Infrastructure presentation at the 2012 National Association of Home Builders (NAHB) International Builders'Show

EPA Science Inventory

A university/industry panel will report on the progress and findings of a fivesteve-year project funded by the US Environmental Protection Agency. The project's end product will be a Web-based, 3D computer-simulated residential environment with a decision support system to assist...

Teaching Advance Care Planning to Medical Students with a Computer-Based Decision Aid

PubMed Central

Levi, Benjamin H.

2013-01-01

Discussing end-of-life decisions with cancer patients is a crucial skill for physicians. This article reports findings from a pilot study evaluating the effectiveness of a computer-based decision aid for teaching medical students about advance care planning. Second-year medical students at a single medical school were randomized to use a standard advance directive or a computer-based decision aid to help patients with advance care planning. Students' knowledge, skills, and satisfaction were measured by self-report; their performance was rated by patients. 121/133 (91%) of students participated. The Decision-Aid Group (n=60) outperformed the Standard Group (n=61) in terms of students´ knowledge (p<0.01), confidence in helping patients with advance care planning (p<0.01), knowledge of what matters to patients (p=0.05), and satisfaction with their learning experience (p<0.01). Likewise, patients in the Decision Aid Group were more satisfied with the advance care planning method (p<0.01) and with several aspects of student performance. Use of a computer-based decision aid may be an effective way to teach medical students how to discuss advance care planning with cancer patients. PMID:20632222

Decision support environment for medical product safety surveillance.

PubMed

Botsis, Taxiarchis; Jankosky, Christopher; Arya, Deepa; Kreimeyer, Kory; Foster, Matthew; Pandey, Abhishek; Wang, Wei; Zhang, Guangfan; Forshee, Richard; Goud, Ravi; Menschik, David; Walderhaug, Mark; Woo, Emily Jane; Scott, John

2016-12-01

We have developed a Decision Support Environment (DSE) for medical experts at the US Food and Drug Administration (FDA). The DSE contains two integrated systems: The Event-based Text-mining of Health Electronic Records (ETHER) and the Pattern-based and Advanced Network Analyzer for Clinical Evaluation and Assessment (PANACEA). These systems assist medical experts in reviewing reports submitted to the Vaccine Adverse Event Reporting System (VAERS) and the FDA Adverse Event Reporting System (FAERS). In this manuscript, we describe the DSE architecture and key functionalities, and examine its potential contributions to the signal management process by focusing on four use cases: the identification of missing cases from a case series, the identification of duplicate case reports, retrieving cases for a case series analysis, and community detection for signal identification and characterization. Published by Elsevier Inc.

Advance directives and life-sustaining treatment: attitudes of Hong Kong Chinese elders with chronic disease.

PubMed

Ting, Fion H; Mok, Esther

2011-04-01

To examine the attitudes of Hong Kong Chinese elders with chronic disease with regard to advance directives and life-sustaining treatment. Cross-sectional questionnaire survey. Medical unit of a regional teaching hospital in Hong Kong. In-patients aged 60 years or above with chronic disease. Demographic profiles and attitudes towards advance directives and life-sustaining treatment. A total of 219 elderly patients completed the questionnaire. Their mean age was 73 (standard deviation, 8) years; 133 (61%) were female. The majority had neither heard about advance directives (81%), nor discussed the issue with others (73%) before participating in this study. After they were informed of the concept of advance directives, about half (49%) said they would consider using it if it is legislated in Hong Kong. The respondents generally supported the withholding or withdrawing of life-sustaining treatment in medically futile situations. In all, 55% of them believed that the patient alone should make the decision on withholding or withdrawing life-sustaining treatment, if competent to do so. If the patient became not competent, 44% believed that the individual's family alone should make such a decision. The fact that most of the respondents had never heard about advance directives or discussed the concept with others points to a lack of knowledge and to the necessity to step up public education about such issues.

Medicare and Advance Planning: The Importance of Context.

PubMed

Dresser, Rebecca

2016-05-01

In January 2016, a long-delayed Medicare change took effect. The Medicare program will now reimburse doctors for time they spend talking with patients about end-of-life care. This is the move that Sarah Palin and other Affordable Care Act critics said would authorize government "death panels" to decide whether older Americans should live or die. Today virtually no one buys into Palin's death panel rhetoric. But many people do think the Medicare change is a big deal. Representative Earl Blumenauer, a Democrat from Oregon who sponsored the original ACA reimbursement proposal, lauded the Medicare provision as "a turning point in end-of-life care." Others are not so sure about that. After all, laws promoting advance care planning have existed for decades. The federal Patient Self-Determination Act of 1990 and the many court decisions and state laws supporting advance care planning have had relatively little impact. Similarly, legal recognition of physician orders for life-sustaining treatment as advance planning instruments have not produced the improvements that were predicted. And from a broad perspective, advance care planning is a small piece of the puzzle. The effort to improve end-of-life care must take into account the limitations of advance decision-making, as well as the overriding importance of the general standard of care for terminally ill patients. © 2016 The Hastings Center.

Advancing in the Career Decision-Making Process: The Role of Coping Strategies and Career Decision-Making Profiles

ERIC Educational Resources Information Center

Perez, Maya; Gati, Itamar

2017-01-01

We tested the associations among the career decision-making difficulties, the career decision status, and either (a) the career decision-making profiles of 575 young adults, or (b) the coping strategies of 379 young adults. As hypothesized, a more advanced decision status was negatively associated with both career decision-making difficulties…

Length of stay following percutaneous coronary intervention: An expert consensus document update from the society for cardiovascular angiography and interventions.

PubMed

Seto, Arnold H; Shroff, Adhir; Abu-Fadel, Mazen; Blankenship, James C; Boudoulas, Konstantinos Dean; Cigarroa, Joaquin E; Dehmer, Gregory J; Feldman, Dmitriy N; Kolansky, Daniel M; Lata, Kusum; Swaminathan, Rajesh V; Rao, Sunil V

2018-04-24

Since the publication of the 2009 SCAI Expert Consensus Document on Length of Stay Following percutaneous coronary intervention (PCI), advances in vascular access techniques, stent technology, and antiplatelet pharmacology have facilitated changes in discharge patterns following PCI. Additional clinical studies have demonstrated the safety of early and same day discharge in selected patients with uncomplicated PCI, while reimbursement policies have discouraged unnecessary hospitalization. This consensus update: (1) clarifies clinical and reimbursement definitions of discharge strategies, (2) reviews the technological advances and literature supporting reduced hospitalization duration and risk assessment, and (3) describes changes to the consensus recommendations on length of stay following PCI (Supporting Information Table S1). These recommendations are intended to support reasonable clinical decision making regarding postprocedure length of stay for a broad spectrum of patients undergoing PCI, rather than prescribing a specific period of observation for individual patients. © 2018 Wiley Periodicals, Inc.

Maritime Situational Awareness: The MARISS Experience

NASA Astrophysics Data System (ADS)

Margarit, G.; Tabasco, A.; Gomez, C.

2010-04-01

This paper presents the operational solution developed by GMV to provide support to maritime situational awareness via Earth Observation (EO) technologies. The concept falls on integrating the information retrieved from Synthetic Aperture Radar (SAR) images and transponder-based polls (AIS and similar) in an advanced GeoPortal web. The service has been designed in the framework of the MARISS project, a project conceived to help improving ship monitoring with the support of a large user segment. In this context, the interaction with official agencies has provided good feedback about system performance and its usefulness in supporting monitoring and surveillance tasks. Some representative samples are analyzed along the paper in order to validate key kernel utilities, such as ship and coastline detection, and ship classification. They justify the promotion of extended R&D activities to increase monitoring performance and to include advanced added- value tools, such as decision making and route tracking.

Aquatics Systems Branch: transdisciplinary research to address water-related environmental problems

USGS Publications Warehouse

Dong, Quan; Walters, Katie D.

2015-01-01

The Aquatic Systems Branch at the Fort Collins Science Center is a group of scientists dedicated to advancing interdisciplinary science and providing science support to solve water-related environmental issues. Natural resource managers have an increasing need for scientific information and stakeholders face enormous challenges of increasing and competing demands for water. Our scientists are leaders in ecological flows, riparian ecology, hydroscape ecology, ecosystem management, and contaminant biology. The Aquatic Systems Branch employs and develops state-of-the-science approaches in field investigations, laboratory experiments, remote sensing, simulation and predictive modeling, and decision support tools. We use the aquatic experimental laboratory, the greenhouse, the botanical garden and other advanced facilities to conduct unique research. Our scientists pursue research on the ground, in the rivers, and in the skies, generating and testing hypotheses and collecting quantitative information to support planning and design in natural resource management and aquatic restoration.

Adverse consequences of article 12 of the UN Convention on the Rights of Persons with Disabilities for persons with mental disabilities and an alternative way forward.

PubMed

Scholten, Matthé; Gather, Jakov

2018-04-01

It is widely accepted among medical ethicists that competence is a necessary condition for informed consent. In this view, if a patient is incompetent to make a particular treatment decision, the decision must be based on an advance directive or made by a substitute decision-maker on behalf of the patient. We call this the competence model. According to a recent report of the United Nations (UN) High Commissioner for Human Rights, article 12 of the UN Convention on the Rights of Persons with Disabilities (CRPD) presents a wholesale rejection of the competence model. The High Commissioner here adopts the interpretation of article 12 proposed by the Committee on the Rights of Persons with Disabilities. On this interpretation, CRPD article 12 renders it impermissible to deny persons with mental disabilities the right to make treatment decisions on the basis of impaired decision-making capacity and demands the replacement of all regimes of substitute decision-making by supported decision-making. In this paper, we explicate six adverse consequences of CRPD article 12 for persons with mental disabilities and propose an alternative way forward. The proposed model combines the strengths of the competence model and supported decision-making. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

32 CFR 282.4 - Policy.

Code of Federal Regulations, 2010 CFR

2010-07-01

... certain claim settlement and advance decision functions that, by statute or delegation, are vested in the... SETTLING PERSONNEL AND GENERAL CLAIMS AND PROCESSING ADVANCE DECISION REQUESTS § 282.4 Policy. It is DoD policy that: (a) Claims shall be settled and advance decisions rendered in accordance with all pertinent...

Knowledge-based commodity distribution planning

NASA Technical Reports Server (NTRS)

Saks, Victor; Johnson, Ivan

1994-01-01

This paper presents an overview of a Decision Support System (DSS) that incorporates Knowledge-Based (KB) and commercial off the shelf (COTS) technology components. The Knowledge-Based Logistics Planning Shell (KBLPS) is a state-of-the-art DSS with an interactive map-oriented graphics user interface and powerful underlying planning algorithms. KBLPS was designed and implemented to support skilled Army logisticians to prepare and evaluate logistics plans rapidly, in order to support corps-level battle scenarios. KBLPS represents a substantial advance in graphical interactive planning tools, with the inclusion of intelligent planning algorithms that provide a powerful adjunct to the planning skills of commodity distribution planners.

Implementing interactive decision support: A case for combining cyberinfrastructure, data fusion, and social process to mobilize scientific knowledge in sustainability problems

NASA Astrophysics Data System (ADS)

Pierce, S. A.

2014-12-01

Geosciences are becoming increasingly data intensive, particularly in relation to sustainability problems, which are multi-dimensional, weakly structured and characterized by high levels of uncertainty. In the case of complex resource management problems, the challenge is to extract meaningful information from data and make sense of it. Simultaneously, scientific knowledge alone is insufficient to change practice. Creating tools, and group decision support processes for end users to interact with data are key challenges to transforming science-based information into actionable knowledge. The ENCOMPASS project began as a multi-year case study in the Atacama Desert of Chile to design and implement a knowledge transfer model for energy-water-mining conflicts in the region. ENCOMPASS combines the use of cyberinfrastructure (CI), automated data collection, interactive interfaces for dynamic decision support, and participatory modelling to support social learning. A pilot version of the ENCOMPASS CI uses open source systems and serves as a structure to integrate and store multiple forms of data and knowledge, such as DEM, meteorological, water quality, geomicrobiological, energy demand, and groundwater models. In the case study, informatics and data fusion needs related to scientific uncertainty around deep groundwater flowpaths and energy-water connections. Users may upload data from field sites with handheld devices or desktops. Once uploaded, data assets are accessible for a variety of uses. To address multi-attributed decision problems in the Atacama region a standalone application with touch-enabled interfaces was created to improve real-time interactions with datasets by groups. The tool was used to merge datasets from the ENCOMPASS CI to support exploration among alternatives and build shared understanding among stakeholders. To date, the project has increased technical capacity among stakeholders, resulted in the creation of both for-profit and non-profit entities, enabled cross-sector collaboration with mining-indigenous stakeholders, and produced an interactive application for group decision support. ENCOMPASS leverages advances in computational tools to deliver data and models for group decision support applied to sustainability science problems.

E-DECIDER Disaster Response and Decision Support Cyberinfrastructure: Technology and Challenges

NASA Astrophysics Data System (ADS)

Glasscoe, M. T.; Parker, J. W.; Pierce, M. E.; Wang, J.; Eguchi, R. T.; Huyck, C. K.; Hu, Z.; Chen, Z.; Yoder, M. R.; Rundle, J. B.; Rosinski, A.

2014-12-01

Timely delivery of critical information to decision makers during a disaster is essential to response and damage assessment. Key issues to an efficient emergency response after a natural disaster include rapidly processing and delivering this critical information to emergency responders and reducing human intervention as much as possible. Essential elements of information necessary to achieve situational awareness are often generated by a wide array of organizations and disciplines, using any number of geospatial and non-geospatial technologies. A key challenge is the current state of practice does not easily support information sharing and technology interoperability. NASA E-DECIDER (Emergency Data Enhanced Cyber-Infrastructure for Disaster Evaluation and Response) has worked with the California Earthquake Clearinghouse and its partners to address these issues and challenges by adopting the XChangeCore Web Service Data Orchestration technology and participating in several earthquake response exercises. The E-DECIDER decision support system provides rapid delivery of advanced situational awareness data products to operations centers and emergency responders in the field. Remote sensing and hazard data, model-based map products, information from simulations, damage detection, and crowdsourcing is integrated into a single geospatial view and delivered through a service oriented architecture for improved decision-making and then directly to mobile devices of responders. By adopting a Service Oriented Architecture based on Open Geospatial Consortium standards, the system provides an extensible, comprehensive framework for geospatial data processing and distribution on Cloud platforms and other distributed environments. While the Clearinghouse and its partners are not first responders, they do support the emergency response community by providing information about the damaging effects earthquakes. It is critical for decision makers to maintain a situational awareness that is knowledgeable of potential and current conditions, possible impacts on populations and infrastructure, and other key information. E-DECIDER and the Clearinghouse have worked together to address many of these issues and challenges to deliver interoperable, authoritative decision support products.

CHAMPION: Intelligent Hierarchical Reasoning Agents for Enhanced Decision Support

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

Hohimer, Ryan E.; Greitzer, Frank L.; Noonan, Christine F.

2011-11-15

We describe the design and development of an advanced reasoning framework employing semantic technologies, organized within a hierarchy of computational reasoning agents that interpret domain specific information. Designed based on an inspirational metaphor of the pattern recognition functions performed by the human neocortex, the CHAMPION reasoning framework represents a new computational modeling approach that derives invariant knowledge representations through memory-prediction belief propagation processes that are driven by formal ontological language specification and semantic technologies. The CHAMPION framework shows promise for enhancing complex decision making in diverse problem domains including cyber security, nonproliferation and energy consumption analysis.

Building leadership capacity in advanced nurse practitioners - the role of organisational management.

PubMed

Elliott, Naomi

2017-01-01

To highlight the organisation-level management's role in building leadership capacity in advanced nurse practitioners and the need for appropriate supports to increase their becoming leaders. Little is published about the role of organisation-level management in building leadership capacity and in developing the next generation of nurse leaders. In times of economic constraint, organisations need to focus their efforts on targeted leadership initiatives. Advanced nurse practitioners are ideally positioned to act as leaders both within and beyond the health care organisation. From the available research evidence, several support structures and mechanisms are identified as enablers for advanced nurse practitioners to enact their leadership role. Health care organisations need to include building leadership capacity as a priority in their strategic plan and take action to build-up the level of advanced nurse practitioner leadership. Nurse executives have a vital role in influencing the organisation's strategic plan and making a business case for prioritising leadership capacity building within advanced nurse practitioners. A challenge for nurse executives faced with competing service and leadership development demands, involves strategic decision-making regarding whether the advanced nurse practitioner's role is limited to service delivery or its potential in leading health care reforms is realised. © 2016 John Wiley & Sons Ltd.

A pathway to personalization of integrated treatment: informatics and decision science in psychiatric rehabilitation.

PubMed

Spaulding, William; Deogun, Jitender

2011-09-01

Personalization of treatment is a current strategic goal for improving health care. Integrated treatment approaches such as psychiatric rehabilitation benefit from personalization because they involve matching diverse arrays of treatment options to individually unique profiles of need. The need for personalization is evident in the heterogeneity of people with severe mental illness and in the findings of experimental psychopathology. One pathway to personalization lies in analysis of the judgments and decision making of human experts and other participants as they respond to complex circumstances in pursuit of treatment and rehabilitation goals. Such analysis is aided by computer simulation of human decision making, which in turn informs development of computerized clinical decision support systems. This inspires a research program involving concurrent development of databases, domain ontology, and problem-solving algorithms, toward the goal of personalizing psychiatric rehabilitation through human collaboration with intelligent cyber systems. The immediate hurdle is to demonstrate that clinical decisions beyond diagnosis really do affect outcome. This can be done by supporting the hypothesis that a human treatment team with access to a reasonably comprehensive clinical database that tracks patient status and treatment response over time achieves better outcome than a treatment team without such access, in a controlled experimental trial. Provided the hypothesis can be supported, the near future will see prototype systems that can construct an integrated assessment, formulation, and rehabilitation plan from clinical assessment data and contextual information. This will lead to advanced systems that collaborate with human decision makers to personalize psychiatric rehabilitation and optimize outcome.

Clinical Decision Support to Efficiently Identify Patients Eligible for Advanced Heart Failure Therapies.

PubMed

Evans, R Scott; Kfoury, Abdallah G; Horne, Benjamin D; Lloyd, James F; Benuzillo, Jose; Rasmusson, Kismet D; Roberts, Colleen; Lappé, Donald L

2017-10-01

Patients who need and receive timely advanced heart failure (HF) therapies have better long-term survival. However, many of these patients are not identified and referred as soon as they should be. A clinical decision support (CDS) application sent secure email notifications to HF patients' providers when they transitioned to advanced disease. Patients identified with CDS in 2015 were compared with control patients from 2013 to 2014. Kaplan-Meier methods and Cox regression were used in this intention-to-treat analysis to compare differences between visits to specialized and survival. Intervention patients were referred to specialized heart facilities significantly more often within 30 days (57% vs 34%; P < .001), 60 days (69% vs 44%; P < .0001), 90 days (73% vs 49%; P < .0001), and 180 days (79% vs 58%; P < .0001). Age and sex did not predict heart facility visits, but renal disease did and patients of nonwhite race were less likely to visit specialized heart facilities. Significantly more intervention patients were found to be alive at 30 (95% vs 92%; P = .036), 60 (95% vs 90%; P = .0013), 90 (94% vs 87%; P = .0002), and 180 days (92% vs 84%; P = .0001). Age, sex, and some comorbid diseases were also predictors of mortality, but race was not. We found that CDS can facilitate the early identification of patients needing advanced HF therapy and that its use was associated with significantly more patients visiting specialized heart facilities and longer survival. Copyright © 2017 Elsevier Inc. All rights reserved.

Predicting adverse hemodynamic events in critically ill patients.

PubMed

Yoon, Joo H; Pinsky, Michael R

2018-06-01

The art of predicting future hemodynamic instability in the critically ill has rapidly become a science with the advent of advanced analytical processed based on computer-driven machine learning techniques. How these methods have progressed beyond severity scoring systems to interface with decision-support is summarized. Data mining of large multidimensional clinical time-series databases using a variety of machine learning tools has led to our ability to identify alert artifact and filter it from bedside alarms, display real-time risk stratification at the bedside to aid in clinical decision-making and predict the subsequent development of cardiorespiratory insufficiency hours before these events occur. This fast evolving filed is primarily limited by linkage of high-quality granular to physiologic rationale across heterogeneous clinical care domains. Using advanced analytic tools to glean knowledge from clinical data streams is rapidly becoming a reality whose clinical impact potential is great.

Linking Science and Management in an Interactive Geospatial, Mutli-Criterion, Structured Decision Support Framework: Use Case Studies of the "Future Forests Geo-visualization and Decision Support Tool

NASA Astrophysics Data System (ADS)

Pontius, J.; Duncan, J.

2017-12-01

Land managers are often faced with balancing management activities to accomplish a diversity of management objectives, in systems faced with many stress agents. Advances in ecosystem modeling provide a rich source of information to inform management. Coupled with advances in decision support techniques and computing capabilities, interactive tools are now accessible for a broad audience of stakeholders. Here we present one such tool designed to capture information on how climate change may impact forested ecosystems, and how that impact varies spatially across the landscape. This tool integrates empirical models of current and future forest structure and function in a structured decision framework that allows users to customize weights for multiple management objectives and visualize suitability outcomes across the landscape. Combined with climate projections, the resulting products allow stakeholders to compare the relative success of various management objectives on a pixel by pixel basis and identify locations where management outcomes are most likely to be met. Here we demonstrate this approach with the integration of several of the preliminary models developed to map species distributions, sugar maple health, forest fragmentation risk and hemlock vulnerability to hemlock woolly adelgid under current and future climate scenarios. We compare three use case studies with objective weightings designed to: 1) Identify key parcels for sugarbush conservation and management, 2) Target state lands that may serve as hemlock refugia from hemlock woolly adelgid induced mortality, and 3) Examine how climate change may alter the success of managing for both sugarbush and hemlock across privately owned lands. This tool highlights the value of flexible models that can be easily run with customized weightings in a dynamic, integrated assessment that allows users to hone in on their potentially complex management objectives, and to visualize and prioritize locations across the landscape. It also demonstrates the importance of including climate considerations for long-term management. This merging of scientific knowledge with the diversity of stakeholder needs is an important step towards using science to inform management and policy decisions.

Context before implementation: a qualitative study of decision makers' views of a peer-led healthy lifestyle intervention for people with serious mental illness in supportive housing.

PubMed

Cabassa, Leopoldo J; Stefancic, Ana

2018-04-04

People with serious mental illness die at an earlier age than people in the general population largely due to cardiovascular disease. Healthy lifestyle interventions can help reduce this health inequity. In this qualitative study, we examined the perceptions that decision makers in supportive housing agencies had toward a peer-led healthy lifestyle intervention and their views of contextual factors that could shape implementation at these agencies. A purposive sample of 12 decision makers from three supportive housing agencies was recruited. We presented participants a vignette describing our peer-led intervention and used semistructured qualitative interviews to examine their views. Interviews were recorded, professionally transcribed, and analyzed using directed content analysis. Participants reported positive views toward the intervention with the most valued intervention attributes being relative advantage over existing services, compatibility to clients' needs, ability to pilot the intervention, and cost. A model emerged from our data depicting multilevel contextual factors believed to shape the implementation of our intervention at these agencies, including system- (funding, marketability, and external regulations), organization- (leadership support, fit with organization, staff buy-in and burden), and client-level (adaptability to clients' needs, and clients' buy-in) factors. Study findings illustrate the importance of understanding the context of practice before implementation. This examination can help identify critical views from decision makers that could undermine or advance the integration of peer-led interventions in supportive housing agencies and help identify structures, policies, and organizational practices that can inform the implementation process.

Making cognitive decision support work: Facilitating adoption, knowledge and behavior change through QI.

PubMed

Weir, Charlene; Brunker, Cherie; Butler, Jorie; Supiano, Mark A

2017-07-01

This paper evaluates the role of facilitation in the successful implementation of Computerized Decision Support (CDS). Facilitation processes include education, specialized computerized decision support, and work process reengineering. These techniques, as well as modeling and feedback enhance self-efficacy, which we propose is one of the factors that mediate the effectiveness of any CDS. In this study, outpatient clinics implemented quality improvement (QI) projects focused on improving geriatric care. Quality Improvement is the systematic process of improving quality through continuous measurement and targeted actions. The program, entitled "Advancing Geriatric Education through Quality Improvement" (AGE QI), consisted of a 6-month, QI based, intervention: (1) 2h didactic session, (2) 1h QI planning session, (3) computerized decision support design and implementation, (4) QI facilitation activities, (5) outcome feedback, and (6) 20h of CME. Specifically, we examined the impact of the QI based program on clinician's perceived self-efficacy in caring for older adults and the relationship of implementation support and facilitation on perceived success. The intervention was implemented at 3 institutions, 27 community healthcare system clinics, and 134 providers. This study reports the results of pre/post surveys for the forty-nine clinicians who completed the full CME program. Self-efficacy ratings for specific clinical behaviors related to care of older adults were assessed using a Likert based instrument. Self-ratings of efficacy improved across the following domains (depression, falls, end-of-life, functional status and medication management) and specifically in QI targeted domains and were associated with overall clinic improvements. Published by Elsevier Inc.

Interactive modelling with stakeholders in two cases in flood management

NASA Astrophysics Data System (ADS)

Leskens, Johannes; Brugnach, Marcela

2013-04-01

New policies on flood management called Multi-Level Safety (MLS), demand for an integral and collaborative approach. The goal of MLS is to minimize flood risks by a coherent package of protection measures, crisis management and flood resilience measures. To achieve this, various stakeholders, such as water boards, municipalities and provinces, have to collaborate in composing these measures. Besides the many advances this integral and collaborative approach gives, the decision-making environment becomes also more complex. Participants have to consider more criteria than they used to do and have to take a wide network of participants into account, all with specific perspectives, cultures and preferences. In response, sophisticated models are developed to support decision-makers in grasping this complexity. These models provide predictions of flood events and offer the opportunity to test the effectiveness of various measures under different criteria. Recent model advances in computation speed and model flexibility allow stakeholders to directly interact with a hydrological hydraulic model during meetings. Besides a better understanding of the decision content, these interactive models are supposed to support the incorporation of stakeholder knowledge in modelling and to support mutual understanding of different perspectives of stakeholders To explore the support of interactive modelling in integral and collaborate policies, such as MLS, we tested a prototype of an interactive flood model (3Di) with respect to a conventional model (Sobek) in two cases. The two cases included the designing of flood protection measures in Amsterdam and a flood event exercise in Delft. These case studies yielded two main results. First, we observed that in the exploration phase of a decision-making process, stakeholders participated actively in interactive modelling sessions. This increased the technical understanding of complex problems and the insight in the effectiveness of various integral measures. Second, when measures became more concrete, the model played a minor role, as stakeholders were still bounded to goals, responsibilities and budgets of their own organization. Model results in this phase are mainly used in a political way to maximize the goals of particular organizations.

A Decision Support System for Drinking Water Production Integrating Health Risks Assessment

PubMed Central

Delpla, Ianis; Monteith, Donald T.; Freeman, Chris; Haftka, Joris; Hermens, Joop; Jones, Timothy G.; Baurès, Estelle; Jung, Aude-Valérie; Thomas, Olivier

2014-01-01

The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation. PMID:25046634

A Multi-layer, Data-driven Advanced Reasoning Tool for Intelligent Data Mining and Analysis for Smart Grids

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

Lu, Ning; Du, Pengwei; Greitzer, Frank L.

2012-12-31

This paper presents the multi-layer, data-driven advanced reasoning tool (M-DART), a proof-of-principle decision support tool for improved power system operation. M-DART will cross-correlate and examine different data sources to assess anomalies, infer root causes, and anneal data into actionable information. By performing higher-level reasoning “triage” of diverse data sources, M-DART focuses on early detection of emerging power system events and identifies highest priority actions for the human decision maker. M-DART represents a significant advancement over today’s grid monitoring technologies that apply offline analyses to derive model-based guidelines for online real-time operations and use isolated data processing mechanisms focusing on individualmore » data domains. The development of the M-DART will bridge these gaps by reasoning about results obtained from multiple data sources that are enabled by the smart grid infrastructure. This hybrid approach integrates a knowledge base that is trained offline but tuned online to capture model-based relationships while revealing complex causal relationships among data from different domains.« less

A view from inside Arizona and New Mexico Indian country: pursuing a health career path.

PubMed

Overman, Barbara A; Petri, Linda; Knoki-Wilson, Ursula

2007-01-01

The stories of individuals working within the health system in Arizona and New Mexico Indian Country were examined to discover interests and needs related to their health career goals and advancement. The aims were: to identify what would be helpful to support educational and career progress; and to determine the barriers to advancement. Community action research methodology was used. A semi-structured interview schedule administered by two of the investigators made up the qualitative interview portion of a two-part survey research design. This qualitative portion of the larger study is reported. Interviewees were chosen from health workers in Arizona and New Mexico Indian country who returned workplace-distributed questionnaires that indicated they were interested in career advancement. The interviewees were selected to be representative of the occupational background, work site, age, and cultural identity of those who returned the questionnaire. Investigators took notes by hand independently during interviews and reviewed both sets of notes simultaneously; the agreed on responses were entered as text data within 2 hours of the interviews. QRS Nudist software (QRS Software; Melbourne, VIC, Australia) was used to sort interview responses to each question in a successive fashion using a constant comparative method to identify key themes within and across questions. Twenty-five personal interviews were conducted in community locations convenient to the interviewee between February and April 2003. The duration of the interviews was 30 min and 60 min. Eighty percent of interviewees were American Indian and 80% percent were women. Themes within interviewees' stories regarding barriers to advancement included: 'making ends meet', dealing with the educational system, uncertainty and inflexibility in the current work setting, and not wanting to disadvantage children by their career decision. Themes related to what participants said they needed included 'making sure the bills are paid', making sure their children were not negatively affected by their decision to further their education, and being sure of the worth of further education in the workplace. Several across-interview themes included pursuing many sequential incremental educational and career steps, many interruptions and failed attempts at pursuing advanced education, and informal, verbal information-gathering patterns when seeking career advancement information. Barriers to career advancement and education arise from multiple sources. Supporting career advancement of community-rooted health workers in Indian Country will require partnership and collaboration across the education, health services, and community sectors. Financial management supports, workplace policies designed to support career-oriented education, consistent and accurate information regarding the educational process, and making courses more accessible will be necessary to support these non-traditional students. Health professions schools should regard their community-based graduates as ambassadors and provide them with ongoing accurate information, because they will be sought after to provide information to others. Innovative programs to assist in loan consolidation and financial management are needed to allow native health workers to be able to provide for their families should they wish to advance their careers. Collaboration across disciplines and programs in the education sector to support a limited set of prerequisite courses would help eliminate unnecessary or redundant courses.

From scientific discovery to cures: bright stars within a galaxy.

PubMed

Williams, R Sanders; Lotia, Samad; Holloway, Alisha K; Pico, Alexander R

2015-09-24

We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures. Copyright © 2015 Elsevier Inc. All rights reserved.

Overview of NASA Langley's Systems Analysis Capabilities

NASA Technical Reports Server (NTRS)

Cavanaugh, Stephen; Kumar, Ajay; Brewer, Laura; Kimmel, Bill; Korte, John; Moul, Tom

2006-01-01

The Systems Analysis and Concepts Directorate (SACD) has been in the systems analysis business line supporting National Aeronautics and Space Administration (NASA) aeronautics, exploration, space operations and science since the 1960 s. Our current organization structure is shown in Figure 1. SACD mission can be summed up in the following statements: 1. We conduct advanced concepts for Agency decision makers and programs. 2. We provide aerospace systems analysis products such as mission architectures, advanced system concepts, system and technology trades, life cycle cost and risk analysis, system integration and pre-decisional sensitive information. 3. Our work enables informed technical, programmatic and budgetary decisions. SACD has a complement of 114 government employees and approximately 50 on-site contractors which is equally split between supporting aeronautics and exploration. SACD strives for technical excellence and creditability of the systems analysis products delivered to its customers. The Directorate office is continuously building market intelligence and working with other NASA centers and external partners to expand our business base. The Branches strive for technical excellence and credibility of our systems analysis products by seeking out existing and new partnerships that are critical for successful systems analysis. The Directorates long term goal is to grow the amount of science systems analysis business base.

Bayesian data assimilation provides rapid decision support for vector-borne diseases

PubMed Central

Jewell, Chris P.; Brown, Richard G.

2015-01-01

Predicting the spread of vector-borne diseases in response to incursions requires knowledge of both host and vector demographics in advance of an outbreak. Although host population data are typically available, for novel disease introductions there is a high chance of the pathogen using a vector for which data are unavailable. This presents a barrier to estimating the parameters of dynamical models representing host–vector–pathogen interaction, and hence limits their ability to provide quantitative risk forecasts. The Theileria orientalis (Ikeda) outbreak in New Zealand cattle demonstrates this problem: even though the vector has received extensive laboratory study, a high degree of uncertainty persists over its national demographic distribution. Addressing this, we develop a Bayesian data assimilation approach whereby indirect observations of vector activity inform a seasonal spatio-temporal risk surface within a stochastic epidemic model. We provide quantitative predictions for the future spread of the epidemic, quantifying uncertainty in the model parameters, case infection times and the disease status of undetected infections. Importantly, we demonstrate how our model learns sequentially as the epidemic unfolds and provide evidence for changing epidemic dynamics through time. Our approach therefore provides a significant advance in rapid decision support for novel vector-borne disease outbreaks. PMID:26136225

Recent progress in relapsed multiple myeloma therapy: implications for treatment decisions.

PubMed

Moreau, Philippe; de Wit, Edwin

2017-10-01

The availability of novel therapies for the treatment of multiple myeloma has had a dramatic impact on the depth of response that can be expected on initial treatment. Despite these advances, disease relapse remains inevitable in most patients and brings with it a different set of priorities for therapy. The most recent wave of novel agents may have a particular impact in the relapsed setting. In this review, we examine the evidence currently available from clinical trials for the use of novel agents, particularly in the formation of triplet therapy. We consider data supporting the addition of the proteasome inhibitors carfilzomib and ixazomib, or the monoclonal antibodies elotuzumab or daratumumab, to a treatment backbone of lenalidomide and dexamethasone. The clinical data set is less well developed for the addition of a third agent to the combination of bortezomib and dexamethasone; nonetheless, data are presented supporting the addition of the histone deacetylase inhibitor panobinostat, or elotuzumab or daratumumab. While acknowledging the lack of head-to-head data on which to base comparisons between the numerous regimens, we collate the latest data in order to provide a basis on which to make clinical decisions in this rapidly advancing field. © 2017 John Wiley & Sons Ltd.

Choosing an Advanced Therapy in Parkinson's Disease; is it an Evidence-Based Decision in Current Practice?

PubMed

Nijhuis, Frouke A P; van Heek, Jolien; Bloem, Bastiaan R; Post, Bart; Faber, Marjan J

2016-07-25

In advanced Parkinson's disease (PD), neurologists and patients face a complex decision for an advanced therapy. When choosing a treatment, the best available evidence should be combined with the professional's expertise and the patient's preferences. The objective of this study was to explore current decision-making in advanced PD. We conducted focus group discussions and individual interviews with patients (N = 20) who had received deep brain stimulation, Levodopa-Carbidopa intestinal gel, or subcutaneous apomorphine infusion, and with their caregivers (N = 16). Furthermore, we conducted semi-structured interviews with neurologists (N = 7) and PD nurse specialists (N = 3) to include the perspectives of all key players in this decision-making process. Data were analyzed by two researchers using a qualitative thematic analysis approach. Four themes representing current experiences with the decision-making process were identified: 1) information and information needs, 2) factors influencing treatment choice and individual decision strategies, 3) decision-making roles, and 4) barriers and facilitators to shared decision-making (SDM). Patient preferences were taken into account, however patients were not always provided with adequate information. The professional's expertise influenced the decision-making process in both positive and negative ways. Although professionals and patients considered SDM essential for the decision of an advanced treatment, they mentioned several barriers for the implementation in current practice. In this study we found several factors explaining why in current practice, evidence-based decision-making in advanced PD is not optimal. An important first step would be to develop objective information on all treatment options.

QuEST for malware type-classification

NASA Astrophysics Data System (ADS)

Vaughan, Sandra L.; Mills, Robert F.; Grimaila, Michael R.; Peterson, Gilbert L.; Oxley, Mark E.; Dube, Thomas E.; Rogers, Steven K.

2015-05-01

Current cyber-related security and safety risks are unprecedented, due in no small part to information overload and skilled cyber-analyst shortages. Advances in decision support and Situation Awareness (SA) tools are required to support analysts in risk mitigation. Inspired by human intelligence, research in Artificial Intelligence (AI) and Computational Intelligence (CI) have provided successful engineering solutions in complex domains including cyber. Current AI approaches aggregate large volumes of data to infer the general from the particular, i.e. inductive reasoning (pattern-matching) and generally cannot infer answers not previously programmed. Whereas humans, rarely able to reason over large volumes of data, have successfully reached the top of the food chain by inferring situations from partial or even partially incorrect information, i.e. abductive reasoning (pattern-completion); generating a hypothetical explanation of observations. In order to achieve an engineering advantage in computational decision support and SA we leverage recent research in human consciousness, the role consciousness plays in decision making, modeling the units of subjective experience which generate consciousness, qualia. This paper introduces a novel computational implementation of a Cognitive Modeling Architecture (CMA) which incorporates concepts of consciousness. We apply our model to the malware type-classification task. The underlying methodology and theories are generalizable to many domains.

Study protocol for 'we DECide': implementation of advance care planning for nursing home residents with dementia.

PubMed

Ampe, Sophie; Sevenants, Aline; Coppens, Evelien; Spruytte, Nele; Smets, Tinne; Declercq, Anja; van Audenhove, Chantal

2015-05-01

To evaluate the effects of 'we DECide', an educational intervention for nursing home staff on shared decision-making in the context of advance care planning for residents with dementia. Advance care planning (preparing care choices for when persons no longer have decision-making capacity) is of utmost importance for nursing home residents with dementia, but is mostly not realized for this group. Advance care planning consists of discussing care choices and making decisions and corresponds to shared decision-making (the involvement of persons and their families in care and treatment decisions). This quasi-experimental pre-test-post-test study is conducted in 19 nursing homes (Belgium). Participants are nursing home staff. 'We DECide' focuses on three crucial moments for discussing advance care planning: the time of admission, crisis situations and everyday conversations. The 'ACP-audit' assesses participants' views on the organization of advance care planning (organizational level), the 'OPTION scale' evaluates the degree of shared decision-making in individual conversations (clinical level) and the 'IFC-SDM Questionnaire' assesses participants' views on Importance, Frequency and Competence of realizing shared decision-making (clinical level). (Project funded: July 2010). The study hypothesis is that 'we DECide' results in a higher realization of shared decision-making in individual conversations on advance care planning. A better implementation of advance care planning will lead to a higher quality of end-of-life care and more person-centred care. We believe our study will be of interest to researchers and to professional nursing home caregivers and policy-makers. © 2014 John Wiley & Sons Ltd.

Windsor and Perry: reactions of siblings in same-sex and heterosexual couples.

PubMed

Clark, Jennifer B; Riggle, Ellen D B; Rostosky, Sharon S; Rothblum, Esther D; Balsam, Kimberly F

2015-01-01

The U.S. Supreme Court decisions in U.S. v. Windsor (570 U.S. 307) and Hollingsworth v. Perry (570 U.S. 399) created a focal point for public discussion of marriage equality for same-sex couples. This article reports the results of an exploratory study of the reactions of individuals currently or previously in same-sex couple relationships and a heterosexual sibling who is currently or previously married (N = 371) to the Supreme Court decisions. Thematic content analysis was used to explore participants' responses to an open-ended question on a survey. Reactions of individuals from same-sex couples revealed the following themes: (1) longitudinal perspectives on the advancement of rights for same-sex couples; (2) emotional responses celebrating the decisions or expressing relief; (3) affirmation of their relationship or rights; (4) practical consequences of the extension of rights; and (5) minority stress related to anticipation of future prejudice or discrimination. Themes in the heterosexual siblings' responses were (1) ally support; (2) flat support without emotion or elaboration; (3) indifference to or ignorance about the decisions; and (4) disapproval of the decisions. These themes are compared and discussed in light of prior research on reactions to marriage restriction debates and marriage (in)equality and family relationships.

Financial Forecasting and Stochastic Modeling: Predicting the Impact of Business Decisions.

PubMed

Rubin, Geoffrey D; Patel, Bhavik N

2017-05-01

In health care organizations, effective investment of precious resources is critical to assure that the organization delivers high-quality and sustainable patient care within a supportive environment for patients, their families, and the health care providers. This holds true for organizations independent of size, from small practices to large health systems. For radiologists whose role is to oversee the delivery of imaging services and the interpretation, communication, and curation of imaging-informed information, business decisions influence where and how they practice, the tools available for image acquisition and interpretation, and ultimately their professional satisfaction. With so much at stake, physicians must understand and embrace the methods necessary to develop and interpret robust financial analyses so they effectively participate in and better understand decision making. This review discusses the financial drivers upon which health care organizations base investment decisions and the central role that stochastic financial modeling should play in support of strategically aligned capital investments. Given a health care industry that has been slow to embrace advanced financial analytics, a fundamental message of this review is that the skills and analytical tools are readily attainable and well worth the effort to implement in the interest of informed decision making. © RSNA, 2017 Online supplemental material is available for this article.

Factors and outcomes of decision making for cancer clinical trial participation.

PubMed

Biedrzycki, Barbara A

2011-09-01

To describe factors and outcomes related to the decision-making process regarding participation in a cancer clinical trial. Cross-sectional, descriptive. Urban, academic, National Cancer Institute-designated comprehensive cancer center in the mid-Atlantic United States. 197 patients with advanced gastrointestinal cancer. Mailed survey using one investigator-developed instrument, eight instruments used in published research, and a medical record review. disease context, sociodemographics, hope, quality of life, trust in healthcare system, trust in health professional, preference for research decision control, understanding risks, and information. decision to accept or decline research participation and satisfaction with this decision. All of the factors within the Research Decision Making Model together predicted cancer clinical trial participation and satisfaction with this decision. The most frequently preferred decision-making style for research participation was shared (collaborative) (83%). Multiple factors affect decision making for cancer clinical trial participation and satisfaction with this decision. Shared decision making previously was an unrecognized factor and requires further investigation. Enhancing the process of research decision making may facilitate an increase in cancer clinical trial enrollment rates. Oncology nurses have unique opportunities as educators and researchers to support shared decision making by those who prefer this method for deciding whether to accept or decline cancer clinical trial participation.

Palliative Medicine and Decision Science: The Critical Need for a Shared Agenda To Foster Informed Patient Choice in Serious Illness

PubMed Central

Kryworuchko, Jennifer; Matlock, Dan D.; Volandes, Angelo E.

2011-01-01

Abstract Assisting patients and their families in complex decision making is a foundational skill in palliative care; however, palliative care clinicians and scientists have just begun to establish an evidence base for best practice in assisting patients and families in complex decision making. Decision scientists aim to understand and clarify the concepts and techniques of shared decision making (SDM), decision support, and informed patient choice in order to ensure that patient and family perspectives shape their health care experience. Patients with serious illness and their families are faced with myriad complex decisions over the course of illness and as death approaches. If patients lose capacity, then surrogate decision makers are cast into the decision-making role. The fields of palliative care and decision science have grown in parallel. There is much to be gained in advancing the practices of complex decision making in serious illness through increased collaboration. The purpose of this article is to use a case study to highlight the broad range of difficult decisions, issues, and opportunities imposed by a life-limiting illness in order to illustrate how collaboration and a joint research agenda between palliative care and decision science researchers, theorists, and clinicians might guide best practices for patients and their families. PMID:21895453

Role of long-term mechanical circulatory support in patients with advanced heart failure.

PubMed

Stokes, M B; Bergin, P; McGiffin, D

2016-05-01

Advanced heart failure represents a small proportion of patients with heart failure that possess high-risk features associated with high hospital readmission rates, significant functional impairment and mortality. Identification of those who have progressed to, or are near a state of advanced heart failure should prompt referral to a service that offers therapies in mechanical circulatory support (MCS) and cardiac transplantation. MCS has grown as a management strategy in the care of these patients, most commonly as a bridge to cardiac transplantation. The predominant utilisation of MCS is implantation of left ventricular assist devices (LVAD), which have evolved significantly in their technology and application over the past 15-20 years. The technology has evolved to such an extent that Destination Therapy is now being utilised as a strategy in management of advanced heart failure in appropriately selected patients. Complication rates have decreased with VAD implantation, but remain a significant consideration in the decision to implant a device, and in the follow up of these patients. © 2016 Royal Australasian College of Physicians.

A brief history of decision making.

PubMed

Buchanan, Leigh; O'Connell, Andrew

2006-01-01

Sometime around the middle of the past century, telephone executive Chester Barnard imported the term decision making from public administration into the business world. There it began to replace narrower terms, like "resource allocation" and "policy making," shifting the way managers thought about their role from continuous, Hamlet-like deliberation toward a crisp series of conclusions reached and actions taken. Yet, decision making is, of course, a broad and ancient human pursuit, flowing back to a time when people sought guidance from the stars. From those earliest days, we have strived to invent better tools for the purpose, from the Hindu-Arabic systems for numbering and algebra, to Aristotle's systematic empiricism, to friar Occam's advances in logic, to Francis Bacon's inductive reasoning, to Descartes's application of the scientific method. A growing sophistication with managing risk, along with a nuanced understanding of human behavior and advances in technology that support and mimic cognitive processes, has improved decision making in many situations. Even so, the history of decision-making strategies--captured in this time line and examined in the four accompanying essays on risk, group dynamics, technology, and instinct--has not marched steadily toward perfect rationalism. Twentieth-century theorists showed that the costs of acquiring information lead executives to make do with only good-enough decisions. Worse, people decide against their own economic interests even when they know better. And in the absence of emotion, it's impossible to make any decisions at all. Erroneous framing, bounded awareness, excessive optimism: The debunking of Descartes's rational man threatens to swamp our confidence in our choices. Is it really surprising, then, that even as technology dramatically increases our access to information, Malcolm Gladwell extols the virtues of gut decisions made, literally, in the blink of an eye?

Knowledge Management Implementation and the Tools Utilized in Healthcare for Evidence-Based Decision Making: A Systematic Review.

PubMed

Shahmoradi, Leila; Safadari, Reza; Jimma, Worku

2017-09-01

Healthcare is a knowledge driven process and thus knowledge management and the tools to manage knowledge in healthcare sector are gaining attention. The aim of this systematic review is to investigate knowledge management implementation and knowledge management tools used in healthcare for informed decision making. Three databases, two journals websites and Google Scholar were used as sources for the review. The key terms used to search relevant articles include: "Healthcare and Knowledge Management"; "Knowledge Management Tools in Healthcare" and "Community of Practices in healthcare". It was found that utilization of knowledge management in healthcare is encouraging. There exist numbers of opportunities for knowledge management implementation, though there are some barriers as well. Some of the opportunities that can transform healthcare are advances in health information and communication technology, clinical decision support systems, electronic health record systems, communities of practice and advanced care planning. Providing the right knowledge at the right time, i.e., at the point of decision making by implementing knowledge management in healthcare is paramount. To do so, it is very important to use appropriate tools for knowledge management and user-friendly system because it can significantly improve the quality and safety of care provided for patients both at hospital and home settings.

A treatment trade‐off based decision aid for patients with locally advanced non‐small cell lung cancer

PubMed Central

Brundage, Michael D.; Feldman‐Stewart, Deb; Dixon, Peter; Gregg, Richard; Youssef, Youssef; Davies, Diane; Mackillop, William J.

2008-01-01

Purpose To describe the structure and use of a decision aid for patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) who are eligible for combined‐modality treatment (CMT) or for radiotherapy alone (RT). Methods The aid included a structured description of the treatment options and trade‐off exercises designed to help clarify the patient’s values for the relevant outcomes by determining the patient’s survival advantage threshold (the increase in survival conferred by CMT over RT that the patient deemed necessary for choosing CMT). Additional outcome measures included each patient’s strength of treatment preference, decisional conflict, objective understanding of survival information, decisional role preference, and evaluation of the aid itself. Results Twenty‐five patients met the eligibility criteria for study. Of these, seven declined the decision aid because they had a clear treatment preference (four chose CMT and three chose RT). The remaining 18 participants completed the decision aid; 16 chose CMT and two chose RT. All 18 patients wished to participate in the decision to some extent. All patients reported that using the decision support was useful to them and recommended its use for others. No patient or physician reported that the aid interfered with the physician‐patient relationship. Patients’ 3‐year survival advantage thresholds, and their median survival advantage thresholds, were each strongly correlated with their strengths of treatment preference (ρ=0.80, P < 0.001 and ρ=0.77, P < 0.001, respectively). For all but one patient, either their 3‐year or median survival threshold was consistent with their final treatment choice. Eight patients reported a stronger treatment preference after using the decision aid. Conclusions We conclude that a treatment trade‐off based decision aid for patients with locally advanced non‐small cell lung cancer is feasible, that it demonstrates internal consistency and convergent validity, and that it is favourably evaluated by patients and their physicians. The aid seems to help patients understand the benefits and risks of treatment and to choose the treatment that is most consistent with their values. PMID:11281912

Randomized, Controlled Trial of an Advance Care Planning Video Decision Support Tool for Patients With Advanced Heart Failure.

PubMed

El-Jawahri, Areej; Paasche-Orlow, Michael K; Matlock, Dan; Stevenson, Lynne Warner; Lewis, Eldrin F; Stewart, Garrick; Semigran, Marc; Chang, Yuchiao; Parks, Kimberly; Walker-Corkery, Elizabeth S; Temel, Jennifer S; Bohossian, Hacho; Ooi, Henry; Mann, Eileen; Volandes, Angelo E

2016-07-05

Conversations about goals of care and cardiopulmonary resuscitation (CPR)/intubation for patients with advanced heart failure can be difficult. This study examined the impact of a video decision support tool and patient checklist on advance care planning for patients with heart failure. This was a multisite, randomized, controlled trial of a video-assisted intervention and advance care planning checklist versus a verbal description in 246 patients ≥64 years of age with heart failure and an estimated likelihood of death of >50% within 2 years. Intervention participants received a verbal description for goals of care (life-prolonging care, limited care, and comfort care) and CPR/intubation plus a 6-minute video depicting the 3 levels of care, CPR/intubation, and an advance care planning checklist. Control subjects received only the verbal description. The primary analysis compared the proportion of patients preferring comfort care between study arms immediately after the intervention. Secondary outcomes were CPR/intubation preferences and knowledge (6-item test; range, 0-6) after intervention. In the intervention group, 27 (22%) chose life-prolonging care, 31 (25%) chose limited care, 63 (51%) selected comfort care, and 2 (2%) were uncertain. In the control group, 50 (41%) chose life-prolonging care, 27 (22%) selected limited care, 37 (30%) chose comfort care, and 8 (7%) were uncertain (P<0.001). Intervention participants (compared with control subjects) were more likely to forgo CPR (68% versus 35%; P<0.001) and intubation (77% versus 48%; P<0.001) and had higher mean knowledge scores (4.1 versus 3.0; P<0.001). Patients with heart failure who viewed a video were more informed, more likely to select a focus on comfort, and less likely to desire CPR/intubation compared with patients receiving verbal information only. URL: http://www.clinicaltrials.gov. Unique identifier: NCT01589120. © 2016 American Heart Association, Inc.

Outcomes-focused knowledge translation: a framework for knowledge translation and patient outcomes improvement.

PubMed

Doran, Diane M; Sidani, Souraya

2007-01-01

Regularly accessing information that is current and reliable continues to be a challenge for front-line staff nurses. Reconceptualizing how nurses access information and designing appropriate decision support systems to facilitate timely access to information may be important for increasing research utilization. An outcomes-focused knowledge translation framework was developed to guide the continuous improvement of patient care through the uptake of research evidence and feedback data about patient outcomes. The framework operationalizes the three elements of the PARIHS framework at the point of care. Outcomes-focused knowledge translation involves four components: (a) patient outcomes measurement and real-time feedback about outcomes achievement; (b) best-practice guidelines, embedded in decision support tools that deliver key messages in response to patient assessment data; (c) clarification of patients' preferences for care; and (d) facilitation by advanced practice nurses and practice leaders. In this paper the framework is described and evidence is provided to support theorized relationships among the concepts in the framework. The framework guided the design of a knowledge translation intervention aimed at continuous improvement of patient care and evidence-based practice, which are fostered through real-time feedback data about patient outcomes, electronic access to evidence-based resources at the point of care, and facilitation by advanced practice nurses. The propositions in the framework need to be empirically tested through future research.

Qualitative study of patients’ decision-making when accepting second-line treatment after failure of first-line chemotherapy

PubMed Central

Roch, Benoît; Roth, Caroline; Mérel, Jean-Pierre

2018-01-01

Objective Treatment failures in advanced lung cancer are frequent events affecting patients during or after first-line chemotherapy. International guidelines recommend second-line chemotherapy. However, around one half of patients who experience disease progression enter a systemic second-line therapy. In the herein qualitative study, we investigated patients' thoughts and attitudes determining the decision to undergo a second-line chemotherapy. Methods Thirty-three purposively selected patients who recently accepted second-line or palliative chemotherapy were invited to participate in this survey consisting of semi-structured in-depth interviews. Grounded theory was applied to investigate participants’ perceptions of the context that have surrounded their decision to undergo palliative chemotherapy. Results For most patients, tumor burden and reduced quality of life in relation with lung cancer itself were major drivers of the decision-making process. There was a balance between two different attitudes: making a decision to undergo a new line of chemotherapy or starting a psychological process in order to accept end of life. Choosing between these two attitudes allowed the patient to keep the matter of palliative care at a distance. Even in case of low chance of success, many patients who worried about their life partner's future would accept a new chemotherapy line. Some patients experienced ambivalent thoughts regarding social network, particularly about their family as daily function impairment required an increased need for relative's support. The initial "Worrying about others" thoughts left place to in an increasing self-need of care as those provided by relatives; this phenomenon might increase patients' self- perception of being a burden for others. Confidence previously established with formal caregiver support was another major decision driver: some patients with sustained confidence in their medical staff may have privileged this formal support rather than family support when the latter was perceived as weak, insufficient or intrusive. Conclusion This study identified three domains involved into a complex interplay for lung cancer patients’ decision regarding second-line palliative chemotherapy: (i) perception of the definitive loss of health, (ii) interactions between idiosyncrasy (hope, disease burden) and environment (healthcare and social network support), and (iii) patient's subjective evaluation of chemotherapy benefit–risk. PMID:29799879

Difficult end-of-life treatment decisions: do other factors trump advance directives?

PubMed

Hardin, Steven B; Yusufaly, Yasmin A

2004-07-26

Advance directives are widely promoted as a means to plan for patients' decisional incapacity, yet there is little evidence of their effectiveness. We devised a study to assess physicians' compliance with hypothetical advance directives and further examine their clinical reasoning. The study consisted of an analysis of a mailed written survey containing 6 hypothetical cases of seriously ill patients. Each case contained an explicit advance directive with potential conflict between the directive and (1) prognosis, (2) wishes of family or friends, or (3) quality of life. Data were collected on the clinical treatment decisions made by physicians and the reasons for those decisions. Study participants were all internal medicine faculty and resident physicians from a single academic institution. A total of 47% analyzable surveys (117/250) were returned. Decisions by faculty and residents were not consistent with the advance directive in 65% of cases. This inconsistency was similar for faculty and residents (68% and 61%, respectively; P>.05). When physicians made decisions inconsistent with the advance directive, they were more likely to list reasons other than the directive for their decisions (89%; P<.001). Internists frequently made treatment decisions that were not consistent with an explicit advance directive. In difficult clinical situations, internists appear to consider other factors such as prognosis, perceived quality of life, and the wishes of family or friends as more determinative than the directive. Future work needs to explore the generalizability of these findings and examine how strictly patients desire their advance directives to be followed.

Economics of Obesity — Learning from the Past to Contribute to a Better Future

PubMed Central

Ananthapavan, Jaithri; Sacks, Gary; Moodie, Marj; Carter, Rob

2014-01-01

The discipline of economics plays a varied role in informing the understanding of the problem of obesity and the impact of different interventions aimed at addressing it. This paper discusses the causes of the obesity epidemic from an economics perspective, and outlines various justifications for government intervention in this area. The paper then focuses on the potential contribution of health economics in supporting resource allocation decision making for obesity prevention/treatment. Although economic evaluations of single interventions provide useful information, evaluations undertaken as part of a priority setting exercise provide the greatest scope for influencing decision making. A review of several priority setting examples in obesity prevention/treatment indicates that policy (as compared with program-based) interventions, targeted at prevention (as compared with treatment) and focused “upstream” on the food environment, are likely to be the most cost-effective options for change. However, in order to further support decision makers, several methodological advances are required. These include the incorporation of intervention costs/benefits outside the health sector, the addressing of equity impacts, and the increased engagement of decision makers in the priority setting process. PMID:24736685

Withdrawal of anticancer therapy in advanced disease: a systematic literature review.

PubMed

Clarke, G; Johnston, S; Corrie, P; Kuhn, I; Barclay, S

2015-11-11

Current guidelines set out when to start anticancer treatments, but not when to stop as the end of life approaches. Conventional cytotoxic agents are administered intravenously and have major life-threatening toxicities. Newer drugs include molecular targeted agents (MTAs), in particular, small molecule kinase-inhibitors (KIs), which are administered orally. These have fewer life-threatening toxicities, and are increasingly used to palliate advanced cancer, generally offering additional months of survival benefit. MTAs are substantially more expensive, between £2-8 K per month, and perceived as easier to start than stop. A systematic review of decision-making concerning the withdrawal of anticancer drugs towards the end of life within clinical practice, with a particular focus on MTAs. Nine electronic databases searched. PRISMA guidelines followed. Forty-two studies included. How are decisions made? Decision-making was shared and ongoing, including stopping, starting and trying different treatments. Oncologists often experienced 'professional role dissonance' between their self-perception as 'treaters', and talking about end of life care. Why are decisions made? Clinical factors: disease progression, worsening functional status, treatment side-effects. Non-clinical factors: physicians' personal experience, values, emotions. Some patients continued treatment to maintain 'hope', often reflecting limited understanding of palliative goals. When are decisions made? Limited evidence reveals patients' decisions based upon quality of life benefits. Clinicians found timing withdrawal particularly challenging. Who makes the decisions? Decisions were based within physician-patient interaction. Oncologists report that decisions around stopping chemotherapy treatment are challenging, with limited evidence-based guidance outside of clinical trial protocols. The increasing availability of oral MTAs is transforming the management of incurable cancer; blurring boundaries between active treatment and palliative care. No studies specifically addressing decision-making around stopping MTAs in clinical practice were identified. There is a need to develop an evidence base to support physicians and patients with decision-making around the withdrawal of these high cost treatments.

Human Factors Report: TMA Operational Evaluations 1996 and 1998

NASA Technical Reports Server (NTRS)

Lee, Katharine K.; Quinn, Cheryl M.; Hoang, Ty; Sanford, Beverly D.

2000-01-01

The Traffic Management Advisor (TMA) is a component of the Center-TRACON Automation System (CTAS), a suite of decision-support tools for the air traffic control (ATC) environment which is being developed at NASA Ames Research Center. TMA has been operational at the ATC facilities in Dallas/Fort Worth, Texas, since an operational field evaluation in 1996. The Operational Evaluation demonstrated significant benefits, including an approximately 5 percent increase in airport capacity. This report describes the human factors results from the 1996 Operational Evaluation and an investigation of TMA usage performed two years later, during the 1998 TMA Daily Use Field Survey. The results described are instructive for CTAS focused development, and provide valuable lessons for future research in ATC decision-support tools where it is critical to merge a well-defined, complex work environment with advanced automation.

Use of a Shared Mental Model by a Team Composed of Oncology, Palliative Care, and Supportive Care Clinicians to Facilitate Shared Decision Making in a Patient With Advanced Cancer.

PubMed

D'Ambruoso, Sarah F; Coscarelli, Anne; Hurvitz, Sara; Wenger, Neil; Coniglio, David; Donaldson, Dusty; Pietras, Christopher; Walling, Anne M

2016-11-01

Our case describes the efforts of team members drawn from oncology, palliative care, supportive care, and primary care to assist a woman with advanced cancer in accepting care for her psychosocial distress, integrating prognostic information so that she could share in decisions about treatment planning, involving family in her care, and ultimately transitioning to hospice. Team members in our setting included a medical oncologist, oncology nurse practitioner, palliative care nurse practitioner, oncology social worker, and primary care physician. The core members were the patient and her sister. Our team grew organically as a result of patient need and, in doing so, operationalized an explicitly shared understanding of care priorities. We refer to this shared understanding as a shared mental model for care delivery, which enabled our team to jointly set priorities for care through a series of warm handoffs enabled by the team's close proximity within the same clinic. When care providers outside our integrated team became involved in the case, significant communication gaps exposed the difficulty in extending our shared mental model outside the integrated team framework, leading to inefficiencies in care. Integration of this shared understanding for care and close proximity of team members proved to be key components in facilitating treatment of our patient's burdensome cancer-related distress so that she could more effectively participate in treatment decision making that reflected her goals of care.

Analysis of Advanced Respiratory Support Onboard ISS and CCV

NASA Technical Reports Server (NTRS)

Shah, Ronak V.; Kertsman, Eric L.; Alexander, David J.; Duchesne, Ted; Law, Jennifer; Roden, Sean K.

2014-01-01

NASA is collaborating with private entities for the development of commercial space vehicles. The Space and Clinical Operations Division was tasked to review the oxygen and respiratory support system and recommend what capabilities, if any, the vehicle should have to support the return of an ill or injured crewmember. The Integrated Medical Model (IMM) was utilized as a data source for the development of these recommendations. The Integrated Medical Model (IMM) was used to simulate a six month, six crew, International Space Station (ISS) mission. Three medical system scenarios were considered based on the availability of (1) oxygen only, (2) oxygen and a ventilator, or (3) neither oxygen nor ventilator. The IMM analysis provided probability estimates of medical events that would require either oxygen or ventilator support. It also provided estimates of crew health, the probability of evacuation, and the probability of loss of crew life secondary to medical events for each of the three medical system scenarios. These IMM outputs were used as objective data to enable evidence-based decisions regarding oxygen and respiratory support system requirements for commercial crew vehicles. The IMM provides data that may be utilized to support informed decisions regarding the development of medical systems for commercial crew vehicles.

a Novel Approach to Support Majority Voting in Spatial Group Mcdm Using Density Induced Owa Operator for Seismic Vulnerability Assessment

NASA Astrophysics Data System (ADS)

Moradi, M.; Delavar, M. R.; Moshiri, B.; Khamespanah, F.

2014-10-01

Being one of the most frightening disasters, earthquakes frequently cause huge damages to buildings, facilities and human beings. Although the prediction of characteristics of an earthquake seems to be impossible, its loss and damage is predictable in advance. Seismic loss estimation models tend to evaluate the extent to which the urban areas are vulnerable to earthquakes. Many factors contribute to the vulnerability of urban areas against earthquakes including age and height of buildings, the quality of the materials, the density of population and the location of flammable facilities. Therefore, seismic vulnerability assessment is a multi-criteria problem. A number of multi criteria decision making models have been proposed based on a single expert. The main objective of this paper is to propose a model which facilitates group multi criteria decision making based on the concept of majority voting. The main idea of majority voting is providing a computational tool to measure the degree to which different experts support each other's opinions and make a decision regarding this measure. The applicability of this model is examined in Tehran metropolitan area which is located in a seismically active region. The results indicate that neglecting the experts which get lower degrees of support from others enables the decision makers to avoid the extreme strategies. Moreover, a computational method is proposed to calculate the degree of optimism in the experts' opinions.

Clinical decision support systems in child and adolescent psychiatry: a systematic review.

PubMed

Koposov, Roman; Fossum, Sturla; Frodl, Thomas; Nytrø, Øystein; Leventhal, Bennett; Sourander, Andre; Quaglini, Silvana; Molteni, Massimo; de la Iglesia Vayá, María; Prokosch, Hans-Ulrich; Barbarini, Nicola; Milham, Michael Peter; Castellanos, Francisco Xavier; Skokauskas, Norbert

2017-11-01

Psychiatric disorders are amongst the most prevalent and impairing conditions in childhood and adolescence. Unfortunately, it is well known that general practitioners (GPs) and other frontline health providers (i.e., child protection workers, public health nurses, and pediatricians) are not adequately trained to address these ubiquitous problems (Braddick et al. Child and Adolescent mental health in Europe: infrastructures, policy and programmes, European Communities, 2009; Levav et al. Eur Child Adolesc Psychiatry 13:395-401, 2004). Advances in technology may offer a solution to this problem with clinical decision support systems (CDSS) that are designed to help professionals make sound clinical decisions in real time. This paper offers a systematic review of currently available CDSS for child and adolescent mental health disorders prepared according to the PRISMA-Protocols (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols). Applying strict eligibility criteria, the identified studies (n = 5048) were screened. Ten studies, describing eight original clinical decision support systems for child and adolescent psychiatric disorders, fulfilled inclusion criteria. Based on this systematic review, there appears to be a need for a new, readily available CDSS for child neuropsychiatric disorder which promotes evidence-based, best practices, while enabling consideration of national variation in practices by leveraging data-reuse to generate predictions regarding treatment outcome, addressing a broader cluster of clinical disorders, and targeting frontline practice environments.

Advanced Nursing Education: Critical Factors That Influence Diploma and Associate Degree Nurses to Advance.

PubMed

McGhie-Anderson, Rose Lavine

The purpose of this study was to gain an understanding of the social processes associated with the decision of diploma and associate degree nurses to advance academically. Advanced nursing education needs to be pursued along the continuum of the nursing career path. This education process is indispensable to the role of nurses as educator, manager, nurse leader, and researcher who will effect policy changes, assume leadership roles as revolutionary thinkers, and implement paradigmatic shifts. Data were collected from two groups of participants using face-to-face, semistructured interviews. Group 1 consisted of diploma and associate degree nurses; Group 2 consisted of baccalaureate, masters, and doctoral degree nurses who have progressed academically. Emerging from the thick, rich data were core categories of rewarding, motivating, and supporting as critical factors that influence professional advancement. This qualitative study elucidated that professional advancement was the social process that grounds. The emergent theory was the theory of professional advancement.

Grab them by the Nose and Kick them in the Pants: Patton on Combined Arms Operational Maneuver

DTIC Science & Technology

2010-04-23

said, "we’re winning this war the wrong way, we ought to be going toward Paris .൤ The decision to take the Brittany peninsula and the city of Brest ...towards Brest and the 41h Armored Division south towards Rennes. To support the campaign he gave XIX T AC five different missions: 1. To protect the...4. To assist advancing columns with armored column cover (ACC). 5. To support ground units in the capture of the Brittany ports of Brest , Lorient

Exploring the oxygen supply and demand framework as a learning tool in undergraduate nursing education.

PubMed

Gillespie, Mary; Shackell, Eileen

2017-11-01

In nursing education, physiological concepts are typically presented within a body 'systems' framework yet learners are often challenged to apply this knowledge in the holistic and functional manner needed for effective clinical decision-making and safe patient care. A nursing faculty addressed this learning challenge by developing an advanced organizer as a conceptual and integrative learning tool to support learners in diverse learning environments and practice settings. A mixed methods research study was conducted that explored the effectiveness of the Oxygen Supply and Demand Framework as a learning tool in undergraduate nursing education. A pretest/post-test assessment and reflective journal were used to gather data. Findings indicated the Oxygen Supply and Demand Framework guided the development of pattern recognition and thinking processes and supported knowledge development, knowledge application and clinical decision-making. The Oxygen Supply and Demand Framework supports undergraduate students learning to provide safe and effective nursing care. Copyright © 2017 Elsevier Ltd. All rights reserved.

Artificial intelligent decision support for low-cost launch vehicle integrated mission operations

NASA Astrophysics Data System (ADS)

Szatkowski, Gerard P.; Schultz, Roger

1988-11-01

The feasibility, benefits, and risks associated with Artificial Intelligence (AI) Expert Systems applied to low cost space expendable launch vehicle systems are reviewed. This study is in support of the joint USAF/NASA effort to define the next generation of a heavy-lift Advanced Launch System (ALS) which will provide economical and routine access to space. The significant technical goals of the ALS program include: a 10 fold reduction in cost per pound to orbit, launch processing in under 3 weeks, and higher reliability and safety standards than current expendables. Knowledge-based system techniques are being explored for the purpose of automating decision support processes in onboard and ground systems for pre-launch checkout and in-flight operations. Issues such as: satisfying real-time requirements, providing safety validation, hardware and Data Base Management System (DBMS) interfacing, system synergistic effects, human interfaces, and ease of maintainability, have an effect on the viability of expert systems as a useful tool.

Artificial intelligent decision support for low-cost launch vehicle integrated mission operations

NASA Technical Reports Server (NTRS)

Szatkowski, Gerard P.; Schultz, Roger

1988-01-01

The feasibility, benefits, and risks associated with Artificial Intelligence (AI) Expert Systems applied to low cost space expendable launch vehicle systems are reviewed. This study is in support of the joint USAF/NASA effort to define the next generation of a heavy-lift Advanced Launch System (ALS) which will provide economical and routine access to space. The significant technical goals of the ALS program include: a 10 fold reduction in cost per pound to orbit, launch processing in under 3 weeks, and higher reliability and safety standards than current expendables. Knowledge-based system techniques are being explored for the purpose of automating decision support processes in onboard and ground systems for pre-launch checkout and in-flight operations. Issues such as: satisfying real-time requirements, providing safety validation, hardware and Data Base Management System (DBMS) interfacing, system synergistic effects, human interfaces, and ease of maintainability, have an effect on the viability of expert systems as a useful tool.

An Overview of Judgment and Decision Making Research Through the Lens of Fuzzy Trace Theory.

PubMed

Setton, Roni; Wilhelms, Evan; Weldon, Becky; Chick, Christina; Reyna, Valerie

2014-12-01

We present the basic tenets of fuzzy trace theory, a comprehensive theory of memory, judgment, and decision making that is grounded in research on how information is stored as knowledge, mentally represented, retrieved from storage, and processed. In doing so, we highlight how it is distinguished from traditional models of decision making in that gist reasoning plays a central role. The theory also distinguishes advanced intuition from primitive impulsivity. It predicts that different sorts of errors occur with respect to each component of judgment and decision making: background knowledge, representation, retrieval, and processing. Classic errors in the judgment and decision making literature, such as risky-choice framing and the conjunction fallacy, are accounted for by fuzzy trace theory and new results generated by the theory contradict traditional approaches. We also describe how developmental changes in brain and behavior offer crucial insight into adult cognitive processing. Research investigating brain and behavior in developing and special populations supports fuzzy trace theory's predictions about reliance on gist processing.

An Overview of Judgment and Decision Making Research Through the Lens of Fuzzy Trace Theory

PubMed Central

Setton, Roni; Wilhelms, Evan; Weldon, Becky; Chick, Christina; Reyna, Valerie

2017-01-01

We present the basic tenets of fuzzy trace theory, a comprehensive theory of memory, judgment, and decision making that is grounded in research on how information is stored as knowledge, mentally represented, retrieved from storage, and processed. In doing so, we highlight how it is distinguished from traditional models of decision making in that gist reasoning plays a central role. The theory also distinguishes advanced intuition from primitive impulsivity. It predicts that different sorts of errors occur with respect to each component of judgment and decision making: background knowledge, representation, retrieval, and processing. Classic errors in the judgment and decision making literature, such as risky-choice framing and the conjunction fallacy, are accounted for by fuzzy trace theory and new results generated by the theory contradict traditional approaches. We also describe how developmental changes in brain and behavior offer crucial insight into adult cognitive processing. Research investigating brain and behavior in developing and special populations supports fuzzy trace theory’s predictions about reliance on gist processing. PMID:28725239

Implementation status and explanatory analysis of early advance care planning for Stage IV non-small cell lung cancer patients.

PubMed

Tokito, Takaaki; Murakami, Haruyasu; Mori, Keita; Osaka, Iwao; Takahashi, Toshiaki

2015-03-01

The American Society of Clinical Oncology published the goals of individualized care including advance care planning for advanced cancer patients in 2011. However, no data are available on the implementation status of advance care planning. We retrospectively reviewed the electronic medical records and informed consent forms of consecutive Stage IV non-small cell lung cancer patients treated with chemotherapy between January 2010 and December 2012 at our institution. Two outcomes were defined to investigate the advance care planning implementation status: C-D, the duration from the last day of chemotherapy to death and D-D, that from the day of confirmed do-not-attempt-resuscitation order to death. The study included 136 eligible patients. The advance care planning implementation status in participating patients was as follows: 96 (70%) patients received information on 'incurable disease before first-line chemotherapy', 69 (50%) were informed about 'supportive care before first-line chemotherapy', whereas 43 (32%) learned about their prognosis. The do-not-attempt-resuscitation decision was reflected in 29 patients' will (21%). The median C-D was 64 days. Receipt of ≤2 chemotherapy regimens and provision of prognosis information to patients were significantly associated with long C-D in multivariate analysis. The median D-D was 25 days. Provision of information on supportive care before first-line chemotherapy and provision of prognosis information to patients were significantly associated with long D-D in multivariate analysis. Our results suggest that there is possible benefit from providing information on supportive care before first-line chemotherapy and informing patients about their prognosis in prolonging the duration of supportive care. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The National Aeronautics and Space Administration's Earth Science Applications Program: Exploring Partnerships to Enhance Decision Making in Public Health Practice

NASA Technical Reports Server (NTRS)

Vann, Timi S.; Venezia, Robert A.

2002-01-01

The National Aeronautics and Space Administration (NASA), Earth Science Enterprise is engaged in applications of NASA Earth science and remote sensing technologies for public health. Efforts are focused on establishing partnerships with those agencies and organizations that have responsibility for protecting the Nation's Health. The program's goal is the integration of NASA's advanced data and technology for enhanced decision support in the areas of disease surveillance and environmental health. A focused applications program, based on understanding partner issues and requirements, has the potential to significantly contribute to more informed decision making in public health practice. This paper intends to provide background information on NASA's investment in public health and is a call for partnership with the larger practice community.

Living excellence: life after Magnet designation.

PubMed

Malloch, Kathy

2009-01-01

The achievement of Magnet recognition is the beginning of a new way of being as an organization. Strategies to support innovation leadership, value-based decision making, agility, sustainability of excellence, technology advancements, and lifelong learning are discussed within the framework of the Magnet organization. Behaviors and challenges of living the expectations of the Magnet organization are presented as opportunities to assist healthcare leaders in this important work.

Collaboration and Synergy among Government, Industry and Academia in M&S Domain: Turkey’s Approach

DTIC Science & Technology

2009-10-01

Analysis, Decision Support System Design and Implementation, Simulation Output Analysis, Statistical Data Analysis, Virtual Reality , Artificial... virtual and constructive visual simulation systems as well as integrated advanced analytical models. Collaboration and Synergy among Government...simulation systems that are ready to use, credible, integrated with C4ISR systems.  Creating synthetic environments and/or virtual prototypes of concepts

Implementation Fest: The Last Decade

DTIC Science & Technology

2010-08-01

architectures New Learning Technologies  Simulations, games, and virtual world  Mobile systems  Performance support, S1000D tech manuals  Intelligent...Darwars Ambush (ECS) Gator 6 (Will Interactive) Games Today 22 VBS2 Enhanced Learning Environment using Creative Technology – Bilateral Negotiations...5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Advanced Decision Learning (ADL),1901 N. Beauregard Street Suite 600

Tools, courses, and learning pathways offered by the National Interagency Fuels, Fire, and Vegetation Technology Transfer

Treesearch

Eva K. Strand; Kathy H. Schon; Jeff Jones

2010-01-01

Technological advances in the area of fuel and wildland fire management have created a need for effective decision support tools and technology training. The National Interagency Fuels Committee and LANDFIRE have chartered a team to develop science-based learning tools for assessment of fire and fuels and to provide online training and technology transfer to help...

A review of recent advances in risk analysis for wildfire management

Treesearch

Carol Miller; Alan A. Ager

2012-01-01

Risk analysis evolved out of the need to make decisions concerning highly stochastic events, and is well suited to analyze the timing, location and potential effects of wildfires. Over the past 10 years, the application of risk analysis to wildland fire management has seen steady growth with new risk-based analytical tools that support a wide range of fire and fuels...

Disaster Management with a Next Generation Disaster Decision Support System

NASA Astrophysics Data System (ADS)

Chen, Y.

2015-12-01

As populations become increasingly concentrated in large cities, the world is experiencing an inevitably growing trend towards the urbanisation of disasters. Scientists have contributed significant advances in understanding the geophysical causes of natural hazards and have developed sophisticated tools to predict their effects; while, much less attention has been devoted to tools that increase situational awareness, facilitate leadership, provide effective communication channels and data flow and enhance the cognitive abilities of decision makers and first responders. In this paper, we envisioned the capabilities of a next generation disaster decision support system and hence proposed a state-of-the-art system architecture design to facilitate the decision making process in natural catastrophes such as flood and bushfire by utilising a combination of technologies for multi-channel data aggregation, disaster modelling, visualisation and optimisation. Moreover, we put our thoughts into action by implementing an Intelligent Disaster Decision Support System (IDDSS). The developed system can easily plug in to external disaster models and aggregate large amount of heterogeneous data from government agencies, sensor networks, and crowd sourcing platforms in real-time to enhance the situational awareness of decision makers and offer them a comprehensive understanding of disaster impacts from diverse perspectives such as environment, infrastructure and economy, etc. Sponsored by the Australian Government and the Victorian Department of Justice (Australia), the system was built upon a series of open-source frameworks (see attached figure) with four key components: data management layer, model application layer, processing service layer and presentation layer. It has the potential to be adopted by a range of agencies across Australian jurisdictions to assist stakeholders in accessing, sharing and utilising available information in their management of disaster events.

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

Radojcic, Riko; Nowak, Matt; Nakamoto, Mark

The status of the development of a Design-for-Stress simulation flow that captures the stress effects in packaged 3D-stacked Si products like integrated circuits (ICs) using advanced via-middle Through Si Via technology is outlined. The next set of challenges required to proliferate the methodology and to deploy it for making and dispositioning real Si product decisions are described here. These include the adoption and support of a Process Design Kit (PDK) that includes the relevant material properties, the development of stress simulation methodologies that operate at higher levels of abstraction in a design flow, and the development and adoption of suitablemore » models required to make real product reliability decisions.« less

Experiences using Visualization Techniques to Present Requirements, Risks to Them, and Options for Risk Mitigation

NASA Technical Reports Server (NTRS)

Feather, Martin S.; Cornford, Steven L.; Kiper, James D.; Menzies, Tim

2006-01-01

For several years we have been employing a risk-based decision process to guide development and application of advanced technologies, and for research and technology portfolio planning. The process is supported by custom software, in which visualization plays an important role. During requirements gathering, visualization is used to help scrutinize the status (completeness, extent) of the information. During decision making based on the gathered information, visualization is used to help decisionmakers understand the space of options and their consequences. In this paper we summarize the visualization capabilities that we have employed, indicating when and how they have proven useful.

Embracing uncertainty in applied ecology.

PubMed

Milner-Gulland, E J; Shea, K

2017-12-01

Applied ecologists often face uncertainty that hinders effective decision-making.Common traps that may catch the unwary are: ignoring uncertainty, acknowledging uncertainty but ploughing on, focussing on trivial uncertainties, believing your models, and unclear objectives.We integrate research insights and examples from a wide range of applied ecological fields to illustrate advances that are generally underused, but could facilitate ecologists' ability to plan and execute research to support management.Recommended approaches to avoid uncertainty traps are: embracing models, using decision theory, using models more effectively, thinking experimentally, and being realistic about uncertainty. Synthesis and applications . Applied ecologists can become more effective at informing management by using approaches that explicitly take account of uncertainty.

NOAA Climate Information and Tools for Decision Support Services

NASA Astrophysics Data System (ADS)

Timofeyeva, M. M.; Higgins, W.; Strager, C.; Horsfall, F. M.

2013-12-01

NOAA is an active participant of the Global Framework for Climate Services (GFCS) contributing data, information, analytical capabilities, forecasts, and decision support services to the Climate Services Partnership (CSP). These contributions emerge from NOAA's own climate services, which have evolved to respond to the urgent and growing need for reliable, trusted, transparent, and timely climate information across all sectors of the U.S. economy. Climate services not only enhance development opportunities in many regions, but also reduce vulnerability to climate change around the world. The NOAA contribution lies within the NOAA Climate Goal mission, which is focusing its efforts on four key climate priority areas: water, extremes, coastal inundation, and marine ecosystems. In order to make progress in these areas, NOAA is exploiting its fundamental capabilities, including foundational research to advance understanding of the Earth system, observations to preserve and build the climate data record and monitor changes in climate conditions, climate models to predict and project future climate across space and time scales, and the development and delivery of decision support services focused on risk management. NOAA's National Weather Services (NWS) is moving toward provision of Decision Support Services (DSS) as a part of the Roadmap on the way to achieving a Weather Ready National (WRN) strategy. Both short-term and long-term weather, water, and climate information are critical for DSS and emergency services and have been integrated into NWS in the form of pilot projects run by National and Regional Operations Centers (NOC and ROCs respectively) as well as several local offices. Local offices with pilot projects have been focusing their efforts on provision of timely and actionable guidance for specific tasks such as DSS in support of Coastal Environments and Integrated Environmental Studies. Climate information in DSS extends the concept of climate services to provision of information that will help guide long-term preparedness for severe weather events and extreme conditions as well as climate variability and change GFCS recently summarized examples of existing initiatives to advance provision of climate services in the 2012 publication Climate ExChange. In this publication, NWS introduced the new Local Climate Analysis Tool (LCAT), a tool that is used to conduct local climate studies that are needed to create efficient and reliable guidance for DSS. LCAT allows for analyzing trends in local climate variables and identifying local impacts of climate variability (e.g., ENSO) on weather and water conditions. In addition to LCAT, NWS, working in partnership with the North East Regional Climate center, released xmACIS version 2, a climate data mining tool, for NWS field operations. During this talk we will demonstrate LCAT and xmACIS as well as outline several examples of their application to DSS and its potential use for achieving GFCS goals. The examples include LCAT-based temperature analysis for energy decisions, guidance on weather and water events leading to increased algal blooms and red tide months in advance, local climate sensitivities to droughts, probabilities of hot/cold conditions and their potential impacts on agriculture and fish kills or fish stress.

Development and testing of a decision aid on goals of care for advanced dementia.

PubMed

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

2014-04-01

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) to test its effect on quality of communication and decision-making. 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. Two NHs in North Carolina. Eighteen residents who were over 65 years of age, had moderate to severe dementia on the global deterioration scale (5, 6, or 7), and an English-speaking surrogate decision-maker. (1) GOC decision aid video viewed by the SDM and (2) a structured care plan meeting between the SDM and interdisciplinary NH team. 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. Eighty-nine percent 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 NH 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). The decision-support intervention piloted in this study was feasible and relevant for surrogate decision-makers of persons with advanced dementia in NHs, 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 intervention. Copyright © 2014 American Medical Directors Association, Inc. Published by Elsevier Inc. All rights reserved.

Provider Perspectives on Advance Care Planning for Patients with Kidney Disease: Whose Job Is It Anyway?

PubMed Central

Szarka, Jackie; McFarland, Lynne V.; Taylor, Janelle S.; Sudore, Rebecca L.; Trivedi, Ranak; Reinke, Lynn F.; Vig, Elizabeth K.

2016-01-01

Background and objectives There is growing interest in efforts to enhance advance care planning for patients with kidney disease. Our goal was to elicit the perspectives on advance care planning of multidisciplinary providers who care for patients with advanced kidney disease. Design, setting, participants, & measurements Between April and December of 2014, we conducted semistructured interviews at the Department of Veterans Affairs Puget Sound Health Care System with 26 providers from a range of disciplines and specialties who care for patients with advanced kidney disease. Participants were asked about their perspectives and experiences related to advance care planning in this population. Interviews were audiotaped, transcribed, and analyzed inductively using grounded theory. Results The comments of providers interviewed for this study spoke to significant system–level barriers to supporting the process of advance care planning for patients with advanced kidney disease. We identified four overlapping themes: (1) medical care for this population is complex and fragmented across settings and providers and over time; (2) lack of a shared understanding and vision of advance care planning and its relationship with other aspects of care, such as dialysis decision making; (3) unclear locus of responsibility and authority for advance care planning; and (4) lack of active collaboration and communication around advance care planning among different providers caring for the same patients. Conclusions The comments of providers who care for patients with advanced kidney disease spotlight both the need for and the challenges to interdisciplinary collaboration around advance care planning for this population. Systematic efforts at a variety of organizational levels will likely be needed to support teamwork around advance care planning among the different providers who care for patients with advanced kidney disease. PMID:27084877

Provider Perspectives on Advance Care Planning for Patients with Kidney Disease: Whose Job Is It Anyway?

PubMed

O'Hare, Ann M; Szarka, Jackie; McFarland, Lynne V; Taylor, Janelle S; Sudore, Rebecca L; Trivedi, Ranak; Reinke, Lynn F; Vig, Elizabeth K

2016-05-06

There is growing interest in efforts to enhance advance care planning for patients with kidney disease. Our goal was to elicit the perspectives on advance care planning of multidisciplinary providers who care for patients with advanced kidney disease. Between April and December of 2014, we conducted semistructured interviews at the Department of Veterans Affairs Puget Sound Health Care System with 26 providers from a range of disciplines and specialties who care for patients with advanced kidney disease. Participants were asked about their perspectives and experiences related to advance care planning in this population. Interviews were audiotaped, transcribed, and analyzed inductively using grounded theory. The comments of providers interviewed for this study spoke to significant system-level barriers to supporting the process of advance care planning for patients with advanced kidney disease. We identified four overlapping themes: (1) medical care for this population is complex and fragmented across settings and providers and over time; (2) lack of a shared understanding and vision of advance care planning and its relationship with other aspects of care, such as dialysis decision making; (3) unclear locus of responsibility and authority for advance care planning; and (4) lack of active collaboration and communication around advance care planning among different providers caring for the same patients. The comments of providers who care for patients with advanced kidney disease spotlight both the need for and the challenges to interdisciplinary collaboration around advance care planning for this population. Systematic efforts at a variety of organizational levels will likely be needed to support teamwork around advance care planning among the different providers who care for patients with advanced kidney disease. Copyright © 2016 by the American Society of Nephrology.

Natural capital and ecosystem services informing decisions: From promise to practice

PubMed Central

Guerry, Anne D.; Polasky, Stephen; Lubchenco, Jane; Chaplin-Kramer, Rebecca; Daily, Gretchen C.; Griffin, Robert; Ruckelshaus, Mary; Bateman, Ian J.; Duraiappah, Anantha; Elmqvist, Thomas; Feldman, Marcus W.; Folke, Carl; Hoekstra, Jon; Kareiva, Peter M.; Keeler, Bonnie L.; Li, Shuzhuo; McKenzie, Emily; Ouyang, Zhiyun; Reyers, Belinda; Ricketts, Taylor H.; Rockström, Johan; Tallis, Heather; Vira, Bhaskar

2015-01-01

The central challenge of the 21st century is to develop economic, social, and governance systems capable of ending poverty and achieving sustainable levels of population and consumption while securing the life-support systems underpinning current and future human well-being. Essential to meeting this challenge is the incorporation of natural capital and the ecosystem services it provides into decision-making. We explore progress and crucial gaps at this frontier, reflecting upon the 10 y since the Millennium Ecosystem Assessment. We focus on three key dimensions of progress and ongoing challenges: raising awareness of the interdependence of ecosystems and human well-being, advancing the fundamental interdisciplinary science of ecosystem services, and implementing this science in decisions to restore natural capital and use it sustainably. Awareness of human dependence on nature is at an all-time high, the science of ecosystem services is rapidly advancing, and talk of natural capital is now common from governments to corporate boardrooms. However, successful implementation is still in early stages. We explore why ecosystem service information has yet to fundamentally change decision-making and suggest a path forward that emphasizes: (i) developing solid evidence linking decisions to impacts on natural capital and ecosystem services, and then to human well-being; (ii) working closely with leaders in government, business, and civil society to develop the knowledge, tools, and practices necessary to integrate natural capital and ecosystem services into everyday decision-making; and (iii) reforming institutions to change policy and practices to better align private short-term goals with societal long-term goals. PMID:26082539

Decision-Making in Management of the Complex Trauma Patient: Changing the Mindset of the non-trauma Surgeon.

PubMed

Sonesson, Linda; Boffard, Kenneth; Lundberg, Lars; Rydmark, Martin; Karlgren, Klas

2018-01-16

European surgeons are frequently subspecialized and trained primarily in elective surgical techniques. As trauma leaders, they may occasionally have to deal with complex polytrauma, advanced management techniques, differing priorities, and the need for multidisciplinary care. There is a lack of expertise, experience, and a low trauma volume, as well as a lack of research, with limited support as to the decision-making and teaching challenges present. We studied what experienced trauma experts describe as the challenges that are specific to the advanced surgical decision-making required, whether civilian, humanitarian, or military. Design-based research using combined methods including interviews, reviews of authentic trauma cases, and video-recorded resuscitations performed at a high-volume civilian academic trauma center. Several educational dilemmas were identified: (1) thinking physiologically, (2) the application of damage control resuscitation and surgery, (3) differing priorities and time management, (4) impact of environment, (5) managing limited resources, (6) lack of general surgical skills, (7) different cultural behavior, and (8) ethical issues. The challenges presented, and the educational domains identified, constitute a basis for improved development of education and training in complex surgical decision-making. This study contributes new knowledge about the mindset required for decision-making in patients with complex multisystem trauma and competing priorities of care. This is, especially important in countries having a low intensity of trauma in both military and civilian environments, and consequential limited skills, and lack of expertise. Guidelines focused on the same decision-making process, using virtual patients and blended learning, can be developed.

Natural capital and ecosystem services informing decisions: From promise to practice.

PubMed

Guerry, Anne D; Polasky, Stephen; Lubchenco, Jane; Chaplin-Kramer, Rebecca; Daily, Gretchen C; Griffin, Robert; Ruckelshaus, Mary; Bateman, Ian J; Duraiappah, Anantha; Elmqvist, Thomas; Feldman, Marcus W; Folke, Carl; Hoekstra, Jon; Kareiva, Peter M; Keeler, Bonnie L; Li, Shuzhuo; McKenzie, Emily; Ouyang, Zhiyun; Reyers, Belinda; Ricketts, Taylor H; Rockström, Johan; Tallis, Heather; Vira, Bhaskar

2015-06-16

The central challenge of the 21st century is to develop economic, social, and governance systems capable of ending poverty and achieving sustainable levels of population and consumption while securing the life-support systems underpinning current and future human well-being. Essential to meeting this challenge is the incorporation of natural capital and the ecosystem services it provides into decision-making. We explore progress and crucial gaps at this frontier, reflecting upon the 10 y since the Millennium Ecosystem Assessment. We focus on three key dimensions of progress and ongoing challenges: raising awareness of the interdependence of ecosystems and human well-being, advancing the fundamental interdisciplinary science of ecosystem services, and implementing this science in decisions to restore natural capital and use it sustainably. Awareness of human dependence on nature is at an all-time high, the science of ecosystem services is rapidly advancing, and talk of natural capital is now common from governments to corporate boardrooms. However, successful implementation is still in early stages. We explore why ecosystem service information has yet to fundamentally change decision-making and suggest a path forward that emphasizes: (i) developing solid evidence linking decisions to impacts on natural capital and ecosystem services, and then to human well-being; (ii) working closely with leaders in government, business, and civil society to develop the knowledge, tools, and practices necessary to integrate natural capital and ecosystem services into everyday decision-making; and (iii) reforming institutions to change policy and practices to better align private short-term goals with societal long-term goals.

A dashboard-based system for supporting diabetes care.

PubMed

Dagliati, Arianna; Sacchi, Lucia; Tibollo, Valentina; Cogni, Giulia; Teliti, Marsida; Martinez-Millana, Antonio; Traver, Vicente; Segagni, Daniele; Posada, Jorge; Ottaviano, Manuel; Fico, Giuseppe; Arredondo, Maria Teresa; De Cata, Pasquale; Chiovato, Luca; Bellazzi, Riccardo

2018-05-01

To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice. The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers. The use of the decision support component in clinical activities produced a reduction in visit duration (P ≪ .01) and an increase in the number of screening exams for complications (P < .01). We also observed a relevant, although nonstatistically significant, increase in the proportion of patients receiving lifestyle interventions (from 69% to 77%). Regarding the outcome assessment component, focus groups highlighted the system's capability of identifying and understanding the characteristics of patient subgroups treated at the center. Our study demonstrates that decision support tools based on the integration of multiple-source data and visual and predictive analytics do improve the management of a chronic disease such as type 2 diabetes by enacting a successful implementation of the learning health care system cycle.

Understanding nurses' decision-making when managing weaning from mechanical ventilation: a study of novice and experienced critical care nurses in Scotland and Greece.

PubMed

Kydonaki, Kalliopi; Huby, Guro; Tocher, Jennifer; Aitken, Leanne M

2016-02-01

To examine how nurses collect and use cues from respiratory assessment to inform their decisions as they wean patients from ventilatory support. Prompt and accurate identification of the patient's ability to sustain reduction of ventilatory support has the potential to increase the likelihood of successful weaning. Nurses' information processing during the weaning from mechanical ventilation has not been well-described. A descriptive ethnographic study exploring critical care nurses' decision-making processes when weaning mechanically ventilated patients from ventilatory support in the real setting. Novice and expert Scottish and Greek nurses from two tertiary intensive care units were observed in real practice of weaning mechanical ventilation and were invited to participate in reflective interviews near the end of their shift. Data were analysed thematically using concept maps based on information processing theory. Ethics approval and informed consent were obtained. Scottish and Greek critical care nurses acquired patient-centred objective physiological and subjective information from respiratory assessment and previous knowledge of the patient, which they clustered around seven concepts descriptive of the patient's ability to wean. Less experienced nurses required more encounters of cues to attain the concepts with certainty. Subjective criteria were intuitively derived from previous knowledge of patients' responses to changes of ventilatory support. All nurses used focusing decision-making strategies to select and group cues in order to categorise information with certainty and reduce the mental strain of the decision task. Nurses used patient-centred information to make a judgment about the patients' ability to wean. Decision-making strategies that involve categorisation of patient-centred information can be taught in bespoke educational programmes for mechanical ventilation and weaning. Advanced clinical reasoning skills and accurate detection of cues in respiratory assessment by critical care nurses will ensure optimum patient management in weaning mechanical ventilation. © 2016 John Wiley & Sons Ltd.

Tailoring and field-testing the use of a knowledge translation peer support shared decision making strategy with First Nations, Inuit and Métis people making decisions about their cancer care: a study protocol.

PubMed

Jull, Janet; Mazereeuw, Maegan; Sheppard, Amanada; Kewayosh, Alethea; Steiner, Richard; Graham, Ian D

2018-01-01

Tailoring and testing a peer support decision making strategy with First Nations, Inuit and Métis people making decisions about their cancer care: A study protocol.First Nations, Inuit and Métis (FNIM) people face higher risks for cancer compared to non-FNIM populations. They also face cultural barriers to health service use. Within non-FNIM populations an approach to health decision making, called shared decision making (SDM), has been found to improve the participation of people in their healthcare. Peer support with SDM further improves these benefits. The purpose of this study is to tailor and test a peer support SDM strategy with community support workers to increase FNIM people's participation in their cancer care.This project has two phases that will be designed and conducted with a Steering Committee that includes members of the FNIM and cancer care communities. First, a peer support SDM strategy will be tailored to meet the needs of cancer system users who are receiving care in urban settings, and training in the SDM strategy developed for community support workers. Three communities will be supported for participation in the study and community support workers who are peers from each community will be trained to use the SDM strategy.Next, each community support worker will work with a community member who has a diagnosis of cancer or who has supported a family member with cancer. Each community support worker and community member pair will use the SDM strategy. The participation and experience of the community support worker and community member will be evaluated.The research will be used to develop strategies to support people who are making decisions about their health. Tailoring and field-testing the use of a knowledge translation peer support shared decision making strategy with First Nations, Inuit and Métis people making decisions about their cancer care: A study protocol Background First Nations, Inuit and Métis ("FNIM") people face increased cancer risks in relation to general populations and experience barriers to health service use. Shared decision making (SDM) has been found to improve peoples' participation and outcomes in healthcare and peer support with SDM further improves these benefits. The purpose of this study is to tailor and then field test, by and with FNIM communities, a peer support SDM strategy for use in cancer care. Methods This project has 2 theory-driven phases and 5 stages (a-e). A core research team that includes members of the Aboriginal Cancer Control Unit of Cancer Care Ontario communities and academic researchers, will work with a Steering Committee. In phase 1 , (stage a) a peer support SDM strategy will be tailored to meet the needs of cancer system users who are receiving care in urban settings and (stage b), training developed that will i) introduce participant communities to SDM, and ii) train community support workers (CSWs) within these communities. Next (stage c), three communities will be approached for voluntary participation in the study. These communities will be introduced to SDM in community meetings, and if in agreement then CSWs from each community will be recruited to participate in the study. One volunteer CSW from each community will be trained to use the peer support SDM strategy to enable phase 2 (field test of the peer support SDM strategy).During phase 2 (stage d), each CSW will be matched to a volunteer community member who has had a diagnosis of cancer or has supported a family member with cancer and is familiar with Ontario cancer systems. Each CSW-community member pair (3 to 4 pairs/community) will use the tailored peer support SDM strategy; their interaction will be audio-recorded and their participation and experience evaluated (total of 9 to 12 interviews). As well (stage e), data will be collected on health systems' factors related to the use of the peer support SDM strategy. Discussion Findings will develop peer support SDM strategies to enhance participation of FNIM people in cancer care decisions, advance knowledge translation science, and support a proposal to conduct a multi-site implementation trial.

Using health technology assessment to support optimal use of technologies in current practice: the challenge of "disinvestment".

PubMed

Henshall, Chris; Schuller, Tara; Mardhani-Bayne, Logan

2012-07-01

Health systems face rising patient expectations and economic pressures; decision makers seek to enhance efficiency to improve access to appropriate care. There is international interest in the role of HTA to support decisions to optimize use of established technologies, particularly in "disinvesting" from low-benefit uses. This study summarizes main points from an HTAi Policy Forum meeting on this topic, drawing on presentations, discussions among attendees, and an advance background paper. Optimization involves assessment or re-assessment of a technology, a decision on optimal use, and decision implementation. This may occur within a routine process to improve safety and quality and create "headroom" for new technologies, or ad hoc in response to financial constraints. The term "disinvestment" is not always helpful in describing these processes. HTA contributes to optimization, but there is scope to increase its role in many systems. Stakeholders may have strong views on access to technology, and stakeholder involvement is essential. Optimization faces challenges including loss aversion and entitlement, stakeholder inertia and entrenchment, heterogeneity in patient outcomes, and the need to demonstrate convincingly absence of benefit. While basic HTA principles remain applicable, methodological developments are needed better to support optimization. These include mechanisms for candidate technology identification and prioritization, enhanced collection and analysis of routine data, and clinician engagement. To maximize value to decision makers, HTA should consider implementation strategies and barriers. Improving optimization processes calls for a coordinated approach, and actions are identified for system leaders, HTA and other health organizations, and industry.

Managing risk during care transitions when approaching end of life: A qualitative study of patients' and health care professionals' decision making.

PubMed

Coombs, Maureen A; Parker, Roses; de Vries, Kay

2017-07-01

Increasing importance is being placed on the coordination of services at the end of life. To describe decision-making processes that influence transitions in care when approaching the end of life. Qualitative study using field observations and longitudinal semi-structured interviews. Field observations were undertaken in three sites: a residential care home, a medical assessment unit and a general medical unit in New Zealand. The Supportive and Palliative Care Indicators Tool was used to identify participants with advanced and progressive illness. Patients and family members were interviewed on recruitment and 3-4 months later. Four weeks of fieldwork were conducted in each site. A total of 40 interviews were conducted: 29 initial interviews and 11 follow-up interviews. Thematic analysis was undertaken. Managing risk was an important factor that influenced transitions in care. Patients and health care staff held different perspectives on how such risks were managed. At home, patients tolerated increasing risk and used specific support measures to manage often escalating health and social problems. In contrast, decisions about discharge in hospital were driven by hospital staff who were risk-adverse. Availability of community and carer services supported risk management while a perceived need for early discharge decision making in hospital and making 'safe' discharge options informed hospital discharge decisions. While managing risk is an important factor during care transitions, patients should be able to make choices on how to live with risk at the end of life. This requires reconsideration of transitional care and current discharge planning processes at the end of life.

Comparative decision models for anticipating shortage of food grain production in India

NASA Astrophysics Data System (ADS)

Chattopadhyay, Manojit; Mitra, Subrata Kumar

2018-01-01

This paper attempts to predict food shortages in advance from the analysis of rainfall during the monsoon months along with other inputs used for crop production, such as land used for cereal production, percentage of area covered under irrigation and fertiliser use. We used six binary classification data mining models viz., logistic regression, Multilayer Perceptron, kernel lab-Support Vector Machines, linear discriminant analysis, quadratic discriminant analysis and k-Nearest Neighbors Network, and found that linear discriminant analysis and kernel lab-Support Vector Machines are equally suitable for predicting per capita food shortage with 89.69 % accuracy in overall prediction and 92.06 % accuracy in predicting food shortage ( true negative rate). Advance information of food shortage can help policy makers to take remedial measures in order to prevent devastating consequences arising out of food non-availability.

Design Analysis Kit for Optimization and Terascale Applications 6.0

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

2015-10-19

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to: (1) enhance understanding of risk, (2) improve products, and (3) assess simulation credibility. In its simplest mode, Dakota can automate typical parameter variation studies through a generic interface to a computational model. However, Dakota also delivers advanced parametric analysis techniques enabling design exploration, optimization, model calibration, risk analysis, and quantification of margins and uncertainty with such models. It directly supports verificationmore » and validation activities. The algorithms implemented in Dakota aim to address challenges in performing these analyses with complex science and engineering models from desktop to high performance computers.« less

Cognitive Systems Modeling and Analysis of Command and Control Systems

NASA Technical Reports Server (NTRS)

Norlander, Arne

2012-01-01

Military operations, counter-terrorism operations and emergency response often oblige operators and commanders to operate within distributed organizations and systems for safe and effective mission accomplishment. Tactical commanders and operators frequently encounter violent threats and critical demands on cognitive capacity and reaction time. In the future they will make decisions in situations where operational and system characteristics are highly dynamic and non-linear, i.e. minor events, decisions or actions may have serious and irreversible consequences for the entire mission. Commanders and other decision makers must manage true real time properties at all levels; individual operators, stand-alone technical systems, higher-order integrated human-machine systems and joint operations forces alike. Coping with these conditions in performance assessment, system development and operational testing is a challenge for both practitioners and researchers. This paper reports on research from which the results led to a breakthrough: An integrated approach to information-centered systems analysis to support future command and control systems research development. This approach integrates several areas of research into a coherent framework, Action Control Theory (ACT). It comprises measurement techniques and methodological advances that facilitate a more accurate and deeper understanding of the operational environment, its agents, actors and effectors, generating new and updated models. This in turn generates theoretical advances. Some good examples of successful approaches are found in the research areas of cognitive systems engineering, systems theory, and psychophysiology, and in the fields of dynamic, distributed decision making and naturalistic decision making.

Probabilistic Flood Maps to support decision-making: Mapping the Value of Information

NASA Astrophysics Data System (ADS)

Alfonso, L.; Mukolwe, M. M.; Di Baldassarre, G.

2016-02-01

Floods are one of the most frequent and disruptive natural hazards that affect man. Annually, significant flood damage is documented worldwide. Flood mapping is a common preimpact flood hazard mitigation measure, for which advanced methods and tools (such as flood inundation models) are used to estimate potential flood extent maps that are used in spatial planning. However, these tools are affected, largely to an unknown degree, by both epistemic and aleatory uncertainty. Over the past few years, advances in uncertainty analysis with respect to flood inundation modeling show that it is appropriate to adopt Probabilistic Flood Maps (PFM) to account for uncertainty. However, the following question arises; how can probabilistic flood hazard information be incorporated into spatial planning? Thus, a consistent framework to incorporate PFMs into the decision-making is required. In this paper, a novel methodology based on Decision-Making under Uncertainty theories, in particular Value of Information (VOI) is proposed. Specifically, the methodology entails the use of a PFM to generate a VOI map, which highlights floodplain locations where additional information is valuable with respect to available floodplain management actions and their potential consequences. The methodology is illustrated with a simplified example and also applied to a real case study in the South of France, where a VOI map is analyzed on the basis of historical land use change decisions over a period of 26 years. Results show that uncertain flood hazard information encapsulated in PFMs can aid decision-making in floodplain planning.

Leadership of risk decision making in a complex, technology organization: The deliberative decision making model

NASA Astrophysics Data System (ADS)

Flaming, Susan C.

2007-12-01

The continuing saga of satellite technology development is as much a story of successful risk management as of innovative engineering. How do program leaders on complex, technology projects manage high stakes risks that threaten business success and satellite performance? This grounded theory study of risk decision making portrays decision leadership practices at one communication satellite company. Integrated product team (IPT) leaders of multi-million dollar programs were interviewed and observed to develop an extensive description of the leadership skills required to navigate organizational influences and drive challenging risk decisions to closure. Based on the study's findings the researcher proposes a new decision making model, Deliberative Decision Making, to describe the program leaders' cognitive and organizational leadership practices. This Deliberative Model extends the insights of prominent decision making models including the rational (or classical) and the naturalistic and qualifies claims made by bounded rationality theory. The Deliberative Model describes how leaders proactively engage resources to play a variety of decision leadership roles. The Model incorporates six distinct types of leadership decision activities, undertaken in varying sequence based on the challenges posed by specific risks. Novel features of the Deliberative Decision Model include: an inventory of leadership methods for managing task challenges, potential stakeholder bias and debates; four types of leadership meta-decisions that guide decision processes, and aligned organizational culture. Both supporting and constraining organizational influences were observed as leaders managed major risks, requiring active leadership on the most difficult decisions. Although the company's engineering culture emphasized the importance of data-based decisions, the uncertainties intrinsic to satellite risks required expert engineering judgment to be exercised throughout. An investigation into the co-variation of decision methods with uncertainty suggests that perceived risk severity may serve as a robust indicator for choices about decision practices. The Deliberative Decision processes incorporate multiple organizational and cultural controls as cross-checks to mitigate potential parochial bias of individuals, stakeholder groups, or leaders. Overall the Deliberative Decision framework describes how expert leadership practices, supportive organizational systems along with aligned cultural values and behavioral norms help leaders drive high stakes risk decisions to closure in this complex, advanced-technology setting.

Pain relief in labour: a qualitative study to determine how to support women to make decisions about pain relief in labour

PubMed Central

2014-01-01

Background Engagement in decision making is a key priority of modern healthcare. Women are encouraged to make decisions about pain relief in labour in the ante-natal period based upon their expectations of what labour pain will be like. Many women find this planning difficult. The aim of this qualitative study was to explore how women can be better supported in preparing for, and making, decisions during pregnancy and labour regarding pain management. Methods Semi-structured interviews were conducted with 13 primiparous and 10 multiparous women at 36 weeks of pregnancy and again within six weeks postnatally. Data collection and analysis occurred concurrently to identify key themes. Results Three main themes emerged from the data. Firstly, during pregnancy women expressed a degree of uncertainty about the level of pain they would experience in labour and the effect of different methods of pain relief. Secondly, women reflected on how decisions had been made regarding pain management in labour and the degree to which they had felt comfortable making these decisions. Finally, women discussed their perceived levels of control, both desired and experienced, over both their bodies and the decisions they were making. Conclusion This study suggests that the current approach of antenatal preparation in the NHS, of asking women to make decisions antenatally for pain relief in labour, needs reviewing. It would be more beneficial to concentrate efforts on better informing women and on engaging them in discussions around their values, expectations and preferences and how these affect each specific choice rather than expecting them to make to make firm decisions in advance of such an unpredictable event as labour. PMID:24397421

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:15068484

[Experience assisting an AIDS-infected homosexual patient and his same-sex partner make a do-not-resuscitate decision].

PubMed

Wang, Shu-Jang; Lai, Pei-Yu; Liou, Siao-Ying; Ko, Wen-Chien; Ko, Nai-Ying

2012-10-01

Family members play an important role in the process of writing advance directives. Homosexual men infected with HIV often wish to authorize their intimate same-sex partner or friends rather than immediate family members to make medical decisions on their behalf. Although same-sex marriage is currently illegal in Taiwan, HIV infected homosexual patients are able to write advance directives appointing their same-sex partner to be their surrogate decision maker for end-of-life medical decisions. This case report describes an experience assisting a homosexual patient with HIV to write his advance directives. The nurse assisted the patient and his partner to make a self-determined decision not to resuscitate. Family conferences held to discuss the patient's decisions regarding resuscitation helped legitimize his partner's primary role in making end-of-life healthcare decisions on his behalf. As an advocate for patient rights, nurses should understand the law as it relates to homosexuality and end-of-life decision making, inform patients on the durable power of autonomy, and help execute their advance directives.

RF-CLASS: A Remote-sensing-based Interoperable Web service system for Flood Crop Loss Assessment

NASA Astrophysics Data System (ADS)

Di, L.; Yu, G.; Kang, L.

2014-12-01

Flood is one of the worst natural disasters in the world. Flooding often causes significant crop loss over large agricultural areas in the United States. Two USDA agencies, the National Agricultural Statistics Service (NASS) and Risk Management Agency (RMA), make decisions on flood statistics, crop insurance policy, and recovery management by collecting, analyzing, reporting, and utilizing flooded crop acreage and crop loss information. NASS has the mandate to report crop loss after all flood events. RMA manages crop insurance policy and uses crop loss information to guide the creation of the crop insurance policy and the aftermath compensation. Many studies have been conducted in the recent years on monitoring floods and assessing the crop loss due to floods with remote sensing and geographic information technologies. The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS), being developed with NASA and USDA support, aims to significantly improve the post-flood agricultural decision-making supports in USDA by integrating and advancing the recently developed technologies. RF-CLASS will operationally provide information to support USDA decision making activities on collecting and archiving flood acreage and duration, recording annual crop loss due to flood, assessing the crop insurance rating areas, investigating crop policy compliance, and spot checking of crop loss claims. This presentation will discuss the remote sensing and GIS based methods for deriving the needed information to support the decision making, the RF-CLASS cybersystem architecture, the standards and interoperability arrangements in the system, and the current and planned capabilities of the system.

Flood Forecast Accuracy and Decision Support System Approach: the Venice Case

NASA Astrophysics Data System (ADS)

Canestrelli, A.; Di Donato, M.

2016-02-01

In the recent years numerical models for weather predictions have experienced continuous advances in technology. As a result, all the disciplines making use of weather forecasts have made significant steps forward. In the case of the Safeguard of Venice, a large effort has been put in order to improve the forecast of tidal levels. In this context, the Istituzione Centro Previsioni e Segnalazioni Maree (ICPSM) of the Venice Municipality has developed and tested many different forecast models, both of the statistical and deterministic type, and has shown to produce very accurate forecasts. For Venice, the maximum admissible forecast error should be (ideally) of the order of ten centimeters at 24 hours. The entity of the forecast error clearly affects the decisional process, which mainly consists of alerting the population, activating the movable barriers installed at the three tidal inlets and contacting the port authority. This process becomes more challenging whenever the weather predictions, and therefore the water level forecasts, suddenly change. These new forecasts have to be quickly transformed into operational tasks. Therefore, it is of the utter importance to set up scheduled alerts and emergency plans by means of easy-to-follow procedures. On this direction, Technital has set up a Decision Support System based on expert procedures that minimizes the human mistakes and, as a consequence, reduces the risk of flooding of the historical center. Moreover, the Decision Support System can communicate predefined alerts to all the interested subjects. The System uses the water levels forecasts produced by the ICPSM by taking into account the accuracy at different leading times. The Decision Support System has been successfully tested with 8 years of data, 6 of them in real time. Venice experience shows that the Decision Support System is an essential tool which assesses the risks associated with a particular event, provides clear operational procedures and minimizes the impact of natural floods on human lives, private properties and historical monuments.

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

Code of Federal Regulations, 2010 CFR

2010-07-01

... of the Office of Personnel Management or the Administrator of General Services. (e) Advance Decisions... those officials have exercised due diligence in the performance of their duties. (iii) An advance... those officials have exercised due diligence in the performance of their duties. (iii) An advance...

Policies toward advanced display in the Clinton administration

NASA Astrophysics Data System (ADS)

Hart, Jeffrey A.

1994-04-01

The Clinton administration is using its policy toward advanced displays as a test case for making industry-specific policies. They have established a number of criteria for advanced displays that they hope to apply to other industries in the future. For example, they want to support the development of generic technologies through ARPA and NIST, while minimizing the government's role in key business decisions. They want the industry (by which they mean the tool makers, the component assemblers, and the systems firms) to agree internally before they go ahead with their promotional policies. Given the past history of the advanced display industry, especially its disunity in regard to the enforcement of the successful antidumping petition of the Advanced Display Manufacturers Association and to efforts to create the U.S. Display Consortium, these criteria will be hard to meet. Nevertheless, there now appears to be much greater consensus among the three groups than in the past on the need to build indigenous technological capabilities in advanced displays.

Why advanced computing? The key to space-based operations

NASA Astrophysics Data System (ADS)

Phister, Paul W., Jr.; Plonisch, Igor; Mineo, Jack

2000-11-01

The 'what is the requirement?' aspect of advanced computing and how it relates to and supports Air Force space-based operations is a key issue. In support of the Air Force Space Command's five major mission areas (space control, force enhancement, force applications, space support and mission support), two-fifths of the requirements have associated stringent computing/size implications. The Air Force Research Laboratory's 'migration to space' concept will eventually shift Science and Technology (S&T) dollars from predominantly airborne systems to airborne-and-space related S&T areas. One challenging 'space' area is in the development of sophisticated on-board computing processes for the next generation smaller, cheaper satellite systems. These new space systems (called microsats or nanosats) could be as small as a softball, yet perform functions that are currently being done by large, vulnerable ground-based assets. The Joint Battlespace Infosphere (JBI) concept will be used to manage the overall process of space applications coupled with advancements in computing. The JBI can be defined as a globally interoperable information 'space' which aggregates, integrates, fuses, and intelligently disseminates all relevant battlespace knowledge to support effective decision-making at all echelons of a Joint Task Force (JTF). This paper explores a single theme -- on-board processing is the best avenue to take advantage of advancements in high-performance computing, high-density memories, communications, and re-programmable architecture technologies. The goal is to break away from 'no changes after launch' design to a more flexible design environment that can take advantage of changing space requirements and needs while the space vehicle is 'on orbit.'

CROSS: A GDSS for the Evaluation and Prioritization of Engineering Support Requests and Advanced Technology Projects at NASA

NASA Technical Reports Server (NTRS)

Tavana, Madjid; Lee, Seunghee

1996-01-01

Objective evaluation and prioritization of engineering support requests (ESRs) is a difficult task at the Kennedy Space Center (KSC) Shuttle Project Engineering Office. The difficulty arises from the complexities inherent in the evaluation process and the lack of structured information. The purpose of this project is to implement the consensus ranking organizational support system (CROSS), a multiple criteria decision support system (DSS) developed at KSC that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. CROSS utilizes the analytic hierarchy process (AHP), subjective probabilities, entropy concept, and maximize agreement heuristic (MAH) to enhance the decision maker's intuition in evaluation ESRs. Some of the preliminary goals of the project are to: (1) revisit the structure of the ground systems working team (GWST) steering committee, (2) develop a template for ESR originators to provide more comple and consistent information to the GSWT steering committee members to eliminate the need for a facilitator, (3) develop an objective and structured process for the initial screening of ESRs, (4) extensive training of the stakeholders and the GWST steering committee to eliminate the need for a facilitator, (5) automate the process as much as possible, (6) create an environment to compile project success factor data on ESRs and move towards a disciplined system that could be used to address supportability threshold issues at the KSC, and (7) investigate the possibility of an organization-wide implementation of CROSS.

'I'll be in a safe place': a qualitative study of the decisions taken by people with advanced cancer to seek emergency department care.

PubMed

Henson, Lesley A; Higginson, Irene J; Daveson, Barbara A; Ellis-Smith, Clare; Koffman, Jonathan; Morgan, Myfanwy; Gao, Wei

2016-11-02

To explore the decisions of people with advanced cancer and their caregivers to seek emergency department (ED) care, and understand the issues that influence the decision-making process. Cross-sectional qualitative study incorporating semistructured patient and caregiver interviews. Between December 2014 and July 2015, semistructured interviews were conducted with 18 people with advanced cancer, all of whom had recently attended the ED of a large university teaching hospital located in south-east London; and six of their caregivers. Interviews were audio recorded, transcribed verbatim and analysed using a constant comparative approach. Padgett and Brodsky's modified version of the 'Behavioral Model of Health Services Use' was used as a framework to guide the study. Issues influencing the decision-making process included: (1) disease-related anxiety-those with greater anxiety related to their cancer diagnosis interpreted their symptoms as more severe and/or requiring immediate attention; (2) prior patterns of health-seeking behaviour-at times of crisis participants defaulted to previously used services; (3) feelings of safety and familiarity with the hospital setting-many felt reassured by the presence of healthcare professionals and monitoring of their condition; and, (4) difficulties accessing community healthcare services-especially urgently and/or out-of-hours. These data provide healthcare professionals and policymakers with a greater understanding of how systems of care may be developed to help reduce ED visits by people with advanced cancer. In particular, our findings suggest that the number of ED visits could be reduced with greater end-of-life symptom support and education, earlier collaboration between oncology and palliative care, and with increased access to community healthcare services. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial.

PubMed

Gimbel, Ronald W; Pirrallo, Ronald G; Lowe, Steven C; Wright, David W; Zhang, Lu; Woo, Min-Jae; Fontelo, Paul; Liu, Fang; Connor, Zachary

2018-03-12

The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources to guide medical image ordering but are often not used by emergency department (ED) clinicians. Using simulation, we explored whether the presentation of a clinical decision rule (i.e. Canadian CT Head Rule - CCHR), findings from malpractice cases related to clinicians not ordering CT imaging in mild head trauma cases, and estimated patient out-of-pocket cost might influence clinician brain CT ordering. Understanding what type and how information may influence clinical decision making in the ordering advanced medical imaging is important in shaping the optimal design and implementation of related clinical decision support systems. Multi-center, double-blinded simulation-based randomized controlled trial. Following standardized clinical vignette presentation, clinicians made an initial imaging decision for the patient. This was followed by additional information on decision support rules, malpractice outcome review, and patient cost; each with opportunity to modify their initial order. The malpractice and cost information differed by assigned group to test the any temporal relationship. The simulation closed with a second vignette and an imaging decision. One hundred sixteen of the 167 participants (66.9%) initially ordered a brain CT scan. After CCHR presentation, the number of clinicians ordering a CT dropped to 76 (45.8%), representing a 21.1% reduction in CT ordering (P = 0.002). This reduction in CT ordering was maintained, in comparison to initial imaging orders, when presented with malpractice review information (p = 0.002) and patient cost information (p = 0.002). About 57% of clinicians changed their order during study, while 43% never modified their imaging order. This study suggests that ED clinician brain CT imaging decisions may be influenced by clinical decision support rules, patient out-of-pocket cost information and findings from malpractice case review. NCT03449862 , February 27, 2018, Retrospectively registered.

Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.

PubMed

Meldolesi, Elisa; van Soest, Johan; Damiani, Andrea; Dekker, Andre; Alitto, Anna Rita; Campitelli, Maura; Dinapoli, Nicola; Gatta, Roberto; Gambacorta, Maria Antonietta; Lanzotti, Vito; Lambin, Philippe; Valentini, Vincenzo

2016-01-01

The advances in diagnostic and treatment technology are responsible for a remarkable transformation in the internal medicine concept with the establishment of a new idea of personalized medicine. Inter- and intra-patient tumor heterogeneity and the clinical outcome and/or treatment's toxicity's complexity, justify the effort to develop predictive models from decision support systems. However, the number of evaluated variables coming from multiple disciplines: oncology, computer science, bioinformatics, statistics, genomics, imaging, among others could be very large thus making traditional statistical analysis difficult to exploit. Automated data-mining processes and machine learning approaches can be a solution to organize the massive amount of data, trying to unravel important interaction. The purpose of this paper is to describe the strategy to collect and analyze data properly for decision support and introduce the concept of an 'umbrella protocol' within the framework of 'rapid learning healthcare'.

The Impact of Alternative Payment Models on Oncology Innovation and Patient Care.

PubMed

Miller, Amy M; Omenn, Gilbert S; Kean, Marcia A

2016-05-15

Oncology care is in a time of major transformation. Scientific discovery is driving breakthroughs in prevention, diagnostics, and treatment, resulting in tremendous gains for patients as the number of cancer survivors continues to grow on an annual basis. At the same time, there is mounting pressure across the healthcare system to contain costs while improving the quality of cancer care. In response to this pressure, private and government payers are increasingly turning to tools such as alternative payment models (APM) and clinical pathways to improve the efficiency of care, inform coverage decisions, and support shared decision-making. As APMs, clinical pathways and other tools are utilized more broadly, it will be critical that these models support the evidence-based use of innovative biomedical advances, including personalized medicine, and deliver patient-centered, high-value care. Clin Cancer Res; 22(10); 2335-41. ©2016 AACR. ©2016 American Association for Cancer Research.

The public health response to 'do-it-yourself' urbanism.

PubMed

Sibbald, Shannon L; Graham, Ross; Gilliland, Jason

2017-09-01

Greater understanding of the important and complex relationship between the built environment and human health has made 'healthy places' a focus of public health and health promotion. While current literature concentrates on creating healthy places through traditional decision-making pathways (namely, municipal land use planning and urban design processes), this paper explores do-it-yourself (DIY) urbanism: a movement circumventing traditional pathways to, arguably, create healthy places and advance social justice. Despite being aligned with several health promotion goals, DIY urbanism interventions are typically illegal and have been categorized as a type of civil disobedience. This is challenging for public health officials who may value DIY urbanism outcomes, but do not necessarily support the means by which it is achieved. Based on the literature, we present a preliminary approach to health promotion decision-making in this area. Public health officials can voice support for DIY urbanism interventions in some instances, but should proceed cautiously.

Weighting Statistical Inputs for Data Used to Support Effective Decision Making During Severe Emergency Weather and Environmental Events

NASA Technical Reports Server (NTRS)

Gardner, Adrian

2010-01-01

National Aeronautical and Space Administration (NASA) weather and atmospheric environmental organizations are insatiable consumers of geophysical, hydrometeorological and solar weather statistics. The expanding array of internet-worked sensors producing targeted physical measurements has generated an almost factorial explosion of near real-time inputs to topical statistical datasets. Normalizing and value-based parsing of such statistical datasets in support of time-constrained weather and environmental alerts and warnings is essential, even with dedicated high-performance computational capabilities. What are the optimal indicators for advanced decision making? How do we recognize the line between sufficient statistical sampling and excessive, mission destructive sampling ? How do we assure that the normalization and parsing process, when interpolated through numerical models, yields accurate and actionable alerts and warnings? This presentation will address the integrated means and methods to achieve desired outputs for NASA and consumers of its data.

Communication Tools for End-of-Life Decision-Making in Ambulatory Care Settings: A Systematic Review and Meta-Analysis.

PubMed

Oczkowski, Simon J; Chung, Han-Oh; Hanvey, Louise; Mbuagbaw, Lawrence; You, John J

2016-01-01

Patients with serious illness, and their families, state that better communication and decision-making with healthcare providers is a high priority to improve the quality of end-of-life care. Numerous communication tools to assist patients, family members, and clinicians in end-of-life decision-making have been published, but their effectiveness remains unclear. To determine, amongst adults in ambulatory care settings, the effect of structured communication tools for end-of-life decision-making on completion of advance care planning. We searched for relevant randomized controlled trials (RCTs) or non-randomized intervention studies in MEDLINE, EMBASE, CINAHL, ERIC, and the Cochrane Database of Randomized Controlled Trials from database inception until July 2014. Two reviewers independently screened articles for eligibility, extracted data, and assessed risk of bias. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the quality of evidence for each of the primary and secondary outcomes. Sixty-seven studies, including 46 RCTs, were found. The majority evaluated communication tools in older patients (age >50) with no specific medical condition, but many specifically evaluated populations with cancer, lung, heart, neurologic, or renal disease. Most studies compared the use of communication tools against usual care, but several compared the tools to less-intensive advance care planning tools. The use of structured communication tools increased: the frequency of advance care planning discussions/discussions about advance directives (RR 2.31, 95% CI 1.25-4.26, p = 0.007, low quality evidence) and the completion of advance directives (ADs) (RR 1.92, 95% CI 1.43-2.59, p<0.001, low quality evidence); concordance between AD preferences and subsequent medical orders for use or non-use of life supporting treatment (RR 1.19, 95% CI 1.01-1.39, p = 0.028, very low quality evidence, 1 observational study); and concordance between the care desired and care received by patients (RR 1.17, 95% CI 1.05-1.30, p = 0.004, low quality evidence, 2 RCTs). The use of structured communication tools may increase the frequency of discussions about and completion of advance directives, and concordance between the care desired and the care received by patients. The use of structured communication tools rather than an ad-hoc approach to end-of-life decision-making should be considered, and the selection and implementation of such tools should be tailored to address local needs and context. PROSPERO CRD42014012913.

Communication Tools for End-of-Life Decision-Making in Ambulatory Care Settings: A Systematic Review and Meta-Analysis

PubMed Central

Chung, Han-Oh; Hanvey, Louise; Mbuagbaw, Lawrence; You, John J.

2016-01-01

Background Patients with serious illness, and their families, state that better communication and decision-making with healthcare providers is a high priority to improve the quality of end-of-life care. Numerous communication tools to assist patients, family members, and clinicians in end-of-life decision-making have been published, but their effectiveness remains unclear. Objectives To determine, amongst adults in ambulatory care settings, the effect of structured communication tools for end-of-life decision-making on completion of advance care planning. Methods We searched for relevant randomized controlled trials (RCTs) or non-randomized intervention studies in MEDLINE, EMBASE, CINAHL, ERIC, and the Cochrane Database of Randomized Controlled Trials from database inception until July 2014. Two reviewers independently screened articles for eligibility, extracted data, and assessed risk of bias. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the quality of evidence for each of the primary and secondary outcomes. Results Sixty-seven studies, including 46 RCTs, were found. The majority evaluated communication tools in older patients (age >50) with no specific medical condition, but many specifically evaluated populations with cancer, lung, heart, neurologic, or renal disease. Most studies compared the use of communication tools against usual care, but several compared the tools to less-intensive advance care planning tools. The use of structured communication tools increased: the frequency of advance care planning discussions/discussions about advance directives (RR 2.31, 95% CI 1.25–4.26, p = 0.007, low quality evidence) and the completion of advance directives (ADs) (RR 1.92, 95% CI 1.43–2.59, p<0.001, low quality evidence); concordance between AD preferences and subsequent medical orders for use or non-use of life supporting treatment (RR 1.19, 95% CI 1.01–1.39, p = 0.028, very low quality evidence, 1 observational study); and concordance between the care desired and care received by patients (RR 1.17, 95% CI 1.05–1.30, p = 0.004, low quality evidence, 2 RCTs). Conclusions The use of structured communication tools may increase the frequency of discussions about and completion of advance directives, and concordance between the care desired and the care received by patients. The use of structured communication tools rather than an ad-hoc approach to end-of-life decision-making should be considered, and the selection and implementation of such tools should be tailored to address local needs and context. Registration PROSPERO CRD42014012913 PMID:27119571

Impact of advance directives and a health care proxy on doctors' decisions: a randomized trial.

PubMed

Escher, Monica; Perneger, Thomas V; Rudaz, Sandrine; Dayer, Pierre; Perrier, Arnaud

2014-01-01

Advance directives or proxy designations are widely recommended, but how they affect doctors' decision making is not well known. The aim of this study was to quantify the influence of advance directives and proxy opinions on doctors' decisions. We mailed to all the generalists and internists in French-speaking Switzerland (N = 1962) three vignettes describing difficult decisions involving incapacitated patients. In each case, the advance directive requested that further care be withheld. One vignette tested the impact of a written advance directive vs. a proxy. Another compared the impact of a handwritten directive vs. a formalized document. The third vignette compared the impact of a family member vs. a doctor as a proxy. Each vignette was prepared in three or four versions, including a control version in which no directive or proxy was present. Vignettes were randomly allocated to respondents. We used logistic regression to predict the decision to forgo a medical intervention. Compared with the control condition, the odds of forgoing a medical intervention were increased by the written advance directive (odds ratio [OR] 7.3; P < 0.001), the proxy (OR 7.9; P < 0.001), and the combination of the two (OR 35.7; P < 0.001). The handwritten directive had the same impact (OR 13.3) as the formalized directive (OR 13.8). The effect of proxy opinion was slightly stronger when provided by a doctor (OR 11.3) rather than by family (OR 7.8). Advance directives and proxy opinions are equally effective in influencing doctors' decisions, but having both has the strongest effect. The format of the advance directive and the identity of the proxy have little influence on decisions. Copyright © 2014 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Coupling sensing to crop models for closed-loop plant production in advanced life support systems

NASA Astrophysics Data System (ADS)

Cavazzoni, James; Ling, Peter P.

1999-01-01

We present a conceptual framework for coupling sensing to crop models for closed-loop analysis of plant production for NASA's program in advanced life support. Crop status may be monitored through non-destructive observations, while models may be independently applied to crop production planning and decision support. To achieve coupling, environmental variables and observations are linked to mode inputs and outputs, and monitoring results compared with model predictions of plant growth and development. The information thus provided may be useful in diagnosing problems with the plant growth system, or as a feedback to the model for evaluation of plant scheduling and potential yield. In this paper, we demonstrate this coupling using machine vision sensing of canopy height and top projected canopy area, and the CROPGRO crop growth model. Model simulations and scenarios are used for illustration. We also compare model predictions of the machine vision variables with data from soybean experiments conducted at New Jersey Agriculture Experiment Station Horticulture Greenhouse Facility, Rutgers University. Model simulations produce reasonable agreement with the available data, supporting our illustration.

Referral criteria and clinical decision support: radiological protection aspects for justification.

PubMed

Pérez, M del Rosario

2015-06-01

Advanced imaging technology has opened new horizons for medical diagnostics and improved patient care. However, many procedures are unjustified and do not provide a net benefit. An area of particular concern is the unnecessary use of radiation when clinical evaluation or other imaging modalities could provide an accurate diagnosis. Referral criteria for medical imaging are consensus statements based on the best-available evidence to assist the decision-making process when choosing the best imaging procedure for a given patient. Although they are advisory rather than compulsory, physicians should have good reasons for deviation from these criteria. Voluntary use of referral criteria has shown limited success compared with integration into clinical decision support systems. These systems support good medical practice, can improve health service delivery, and foster safer, more efficient, fair, cost-effective care, thus contributing to the strengthening of health systems. Justification of procedures and optimisation of protection, the two pillars of radiological protection in health care, are implicit in the notion of good medical practice. However, some health professionals are not familiar with these principles, and have low awareness of radiological protection aspects of justification. A stronger collaboration between radiation protection and healthcare communities could contribute to improve the radiation protection culture in medical practice. © The Chartered Institution of Building Services Engineers 2014.

Advanced Technology Lifecycle Analysis System (ATLAS) Technology Tool Box (TTB)

NASA Technical Reports Server (NTRS)

Doyle, Monica; ONeil, Daniel A.; Christensen, Carissa B.

2005-01-01

The Advanced Technology Lifecycle Analysis System (ATLAS) is a decision support tool designed to aid program managers and strategic planners in determining how to invest technology research and development dollars. It is an Excel-based modeling package that allows a user to build complex space architectures and evaluate the impact of various technology choices. ATLAS contains system models, cost and operations models, a campaign timeline and a centralized technology database. Technology data for all system models is drawn from a common database, the ATLAS Technology Tool Box (TTB). The TTB provides a comprehensive, architecture-independent technology database that is keyed to current and future timeframes.

Bayesian data assimilation provides rapid decision support for vector-borne diseases.

PubMed

Jewell, Chris P; Brown, Richard G

2015-07-06

Predicting the spread of vector-borne diseases in response to incursions requires knowledge of both host and vector demographics in advance of an outbreak. Although host population data are typically available, for novel disease introductions there is a high chance of the pathogen using a vector for which data are unavailable. This presents a barrier to estimating the parameters of dynamical models representing host-vector-pathogen interaction, and hence limits their ability to provide quantitative risk forecasts. The Theileria orientalis (Ikeda) outbreak in New Zealand cattle demonstrates this problem: even though the vector has received extensive laboratory study, a high degree of uncertainty persists over its national demographic distribution. Addressing this, we develop a Bayesian data assimilation approach whereby indirect observations of vector activity inform a seasonal spatio-temporal risk surface within a stochastic epidemic model. We provide quantitative predictions for the future spread of the epidemic, quantifying uncertainty in the model parameters, case infection times and the disease status of undetected infections. Importantly, we demonstrate how our model learns sequentially as the epidemic unfolds and provide evidence for changing epidemic dynamics through time. Our approach therefore provides a significant advance in rapid decision support for novel vector-borne disease outbreaks. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Challenges in Achieving Trajectory-Based Operations

NASA Technical Reports Server (NTRS)

Cate, Karen Tung

2012-01-01

In the past few years much of the global ATM research community has proposed advanced systems based on Trajectory-Based Operations (TBO). The concept of TBO uses four-dimensional aircraft trajectories as the base information for managing safety and capacity. Both the US and European advanced ATM programs call for the sharing of trajectory data across different decision support tools for successful operations. However, the actual integration of TBO systems presents many challenges. Trajectory predictors are built to meet the specific needs of a particular system and are not always compatible with others. Two case studies are presented which examine the challenges of introducing a new concept into two legacy systems in regards to their trajectory prediction software. The first case describes the issues with integrating a new decision support tool with a legacy operational system which overlap in domain space. These tools perform similar functions but are driven by different requirements. The difference in the resulting trajectories can lead to conflicting advisories. The second case looks at integrating this same new tool with a legacy system originally developed as an integrated system, but diverged many years ago. Both cases illustrate how the lack of common architecture concepts for the trajectory predictors added cost and complexity to the integration efforts.

Advance directives: cancer patients' preferences and family-based decision making.

PubMed

Xing, Yan-Fang; Lin, Jin-Xiang; Li, Xing; Lin, Qu; Ma, Xiao-Kun; Chen, Jie; Wu, Dong-Hao; Wei, Li; Yin, Liang-Hong; Wu, Xiang-Yuan

2017-07-11

Advance directives are a sensitive issue among traditional Chinese people, who usually refrain from mentioning this topic until it is imperative. Medical decisions for cancer patients are made by their families, and these decisions might violate patients' personal will. This study aimed to examine the acceptance of advance directives among Chinese cancer patients and their families and patient participation in this procedure and, finally, to analyze the moral risk involved. While 246 patients and their family members refused official discussion of an advance directive, the remaining 166 patients and their families accepted the concept of an advance directive and signed a document agreeing to give up invasive treatment when the anti-cancer treatment was terminated. Of these, only 24 patients participated in the decision making. For 101 patients, anti-cancer therapy was ended prematurely with as many as 37 patients not told about their potential loss of health interests. Participants were 412 adult cancer patients from 9 leading hospitals across China. An advance directive was introduced to the main decision makers for each patient; if they wished to sign it, the advance directive would be systematically discussed. A questionnaire was given to the oncologists in charge of each patient to evaluate the interaction between families and patients, patients' awareness of their disease, and participation in an advance directive. Advance directives were not widely accepted among Chinese cancer patients unless anti-cancer therapy was terminated. Most cancer patients were excluded from the discussion of an advance directive.

Use of Patient-Reported Outcome (PRO) Measures at Group and Patient Levels: Experiences From the Generic Integrated PRO System, WestChronic

PubMed Central

Larsen, Louise Pape; Biering, Karin; Johnsen, Soren Paaske; Riiskjær, Erik; Schougaard, Liv Marit

2014-01-01

Background Patient-reported outcome (PRO) measures may be used at a group level for research and quality improvement and at the individual patient level to support clinical decision making and ensure efficient use of resources. The challenges involved in implementing PRO measures are mostly the same regardless of aims and diagnostic groups and include logistic feasibility, high response rates, robustness, and ability to adapt to the needs of patient groups and settings. If generic PRO systems can adapt to specific needs, advanced technology can be shared between medical specialties and for different aims. Objective We describe methodological, organizational, and practical experiences with a generic PRO system, WestChronic, which is in use among a range of diagnostic groups and for a range of purposes. Methods The WestChronic system supports PRO data collection, with integration of Web and paper PRO questionnaires (mixed-mode) and automated procedures that enable adherence to implementation-specific schedules for the collection of PRO. For analysis, we divided functionalities into four elements: basic PRO data collection and logistics, PRO-based clinical decision support, PRO-based automated decision algorithms, and other forms of communication. While the first element is ubiquitous, the others are optional and only applicable at a patient level. Methodological and organizational experiences were described according to each element. Results WestChronic has, to date, been implemented in 22 PRO projects within 18 diagnostic groups, including cardiology, neurology, rheumatology, nephrology, orthopedic surgery, gynecology, oncology, and psychiatry. The aims of the individual projects included epidemiological research, quality improvement, hospital evaluation, clinical decision support, efficient use of outpatient clinic resources, and screening for side effects and comorbidity. In total 30,174 patients have been included, and 59,232 PRO assessments have been collected using 92 different PRO questionnaires. Response rates of up to 93% were achieved for first-round questionnaires and up to 99% during follow-up. For 6 diagnostic groups, PRO data were displayed graphically to the clinician to facilitate flagging of important symptoms and decision support, and in 5 diagnostic groups PRO data were used for automatic algorithm-based decisions. Conclusions WestChronic has allowed the implementation of all proposed protocol for data collection and processing. The system has achieved high response rates, and longitudinal attrition is limited. The relevance of the questions, the mixed-mode principle, and automated procedures has contributed to the high response rates. Furthermore, development and implementation of a number of approaches and methods for clinical use of PRO has been possible without challenging the generic property. Generic multipurpose PRO systems may enable sharing of automated and efficient logistics, optimal response rates, and other advanced options for PRO data collection and processing, while still allowing adaptation to specific aims and patient groups. PMID:24518281

Current CFD Practices in Launch Vehicle Applications

NASA Technical Reports Server (NTRS)

Kwak, Dochan; Kiris, Cetin

2012-01-01

The quest for sustained space exploration will require the development of advanced launch vehicles, and efficient and reliable operating systems. Development of launch vehicles via test-fail-fix approach is very expensive and time consuming. For decision making, modeling and simulation (M&S) has played increasingly important roles in many aspects of launch vehicle development. It is therefore essential to develop and maintain most advanced M&S capability. More specifically computational fluid dynamics (CFD) has been providing critical data for developing launch vehicles complementing expensive testing. During the past three decades CFD capability has increased remarkably along with advances in computer hardware and computing technology. However, most of the fundamental CFD capability in launch vehicle applications is derived from the past advances. Specific gaps in the solution procedures are being filled primarily through "piggy backed" efforts.on various projects while solving today's problems. Therefore, some of the advanced capabilities are not readily available for various new tasks, and mission-support problems are often analyzed using ad hoc approaches. The current report is intended to present our view on state-of-the-art (SOA) in CFD and its shortcomings in support of space transport vehicle development. Best practices in solving current issues will be discussed using examples from ascending launch vehicles. Some of the pacing will be discussed in conjunction with these examples.

Advanced medical imaging protocol workflow-a flexible electronic solution to optimize process efficiency, care quality and patient safety in the National VA Enterprise.

PubMed

Medverd, Jonathan R; Cross, Nathan M; Font, Frank; Casertano, Andrew

2013-08-01

Radiologists routinely make decisions with only limited information when assigning protocol instructions for the performance of advanced medical imaging examinations. Opportunity exists to simultaneously improve the safety, quality and efficiency of this workflow through the application of an electronic solution leveraging health system resources to provide concise, tailored information and decision support in real-time. Such a system has been developed using an open source, open standards design for use within the Veterans Health Administration. The Radiology Protocol Tool Recorder (RAPTOR) project identified key process attributes as well as inherent weaknesses of paper processes and electronic emulators of paper processes to guide the development of its optimized electronic solution. The design provides a kernel that can be expanded to create an integrated radiology environment. RAPTOR has implications relevant to the greater health care community, and serves as a case model for modernization of legacy government health information systems.

A gaze through the lens of decision theory toward knowledge translation science.

PubMed

Bucknall, Tracey

2007-01-01

Research findings become evidence when an individual decides that the information is relevant and useful to a particular circumstance. Prior to that point, they are unrelated facts. For research translation to occur, research evidence needs filtering, interpretation, and application by individuals to the specific situation. For this reason, decision science is complementary to knowledge translation science. Both aim to support the individual in deciding the most appropriate action in a dynamic environment where there are masses of uncensored and nonprioritized information readily available. Decision science employs research theories to study the cognitive processes underpinning the filtering and integration of current scientific information into changing contexts. Two meta-theories, coherence and correspondence theories, have been used to provide alternative views and prompt significant debate to advance the science. The aim of this article is to stimulate debate about the relationship between decision theory and knowledge translation. Discussed is the critical role of cognition in clinical decision making, with a focus on knowledge translation. A critical commentary of the knowledge utilization modeling papers is presented from a decision science perspective. The article concludes with a discussion on the implications for knowledge translation when viewed through the lens of decision science.

The Role of Computational Modeling and Simulation in the Total Product Life Cycle of Peripheral Vascular Devices

PubMed Central

Morrison, Tina M.; Dreher, Maureen L.; Nagaraja, Srinidhi; Angelone, Leonardo M.; Kainz, Wolfgang

2018-01-01

The total product life cycle (TPLC) of medical devices has been defined by four stages: discovery and ideation, regulatory decision, product launch, and postmarket monitoring. Manufacturers of medical devices intended for use in the peripheral vasculature, such as stents, inferior vena cava (IVC) filters, and stent-grafts, mainly use computational modeling and simulation (CM&S) to aid device development and design optimization, supplement bench testing for regulatory decisions, and assess postmarket changes or failures. For example, computational solid mechanics and fluid dynamics enable the investigation of design limitations in the ideation stage. To supplement bench data in regulatory submissions, manufactures can evaluate the effects of anatomical characteristics and expected in vivo loading environment on device performance. Manufacturers might also harness CM&S to aid root-cause analyses that are necessary when failures occur postmarket, when the device is exposed to broad clinical use. Once identified, CM&S tools can then be used for redesign to address the failure mode and re-establish the performance profile with the appropriate models. The Center for Devices and Radiological Health (CDRH) wants to advance the use of CM&S for medical devices and supports the development of virtual physiological patients, clinical trial simulations, and personalized medicine. Thus, the purpose of this paper is to describe specific examples of how CM&S is currently used to support regulatory submissions at different phases of the TPLC and to present some of the stakeholder-led initiatives for advancing CM&S for regulatory decision-making. PMID:29479395

The Role of Computational Modeling and Simulation in the Total Product Life Cycle of Peripheral Vascular Devices.

PubMed

Morrison, Tina M; Dreher, Maureen L; Nagaraja, Srinidhi; Angelone, Leonardo M; Kainz, Wolfgang

2017-01-01

The total product life cycle (TPLC) of medical devices has been defined by four stages: discovery and ideation, regulatory decision, product launch, and postmarket monitoring. Manufacturers of medical devices intended for use in the peripheral vasculature, such as stents, inferior vena cava (IVC) filters, and stent-grafts, mainly use computational modeling and simulation (CM&S) to aid device development and design optimization, supplement bench testing for regulatory decisions, and assess postmarket changes or failures. For example, computational solid mechanics and fluid dynamics enable the investigation of design limitations in the ideation stage. To supplement bench data in regulatory submissions, manufactures can evaluate the effects of anatomical characteristics and expected in vivo loading environment on device performance. Manufacturers might also harness CM&S to aid root-cause analyses that are necessary when failures occur postmarket, when the device is exposed to broad clinical use. Once identified, CM&S tools can then be used for redesign to address the failure mode and re-establish the performance profile with the appropriate models. The Center for Devices and Radiological Health (CDRH) wants to advance the use of CM&S for medical devices and supports the development of virtual physiological patients, clinical trial simulations, and personalized medicine. Thus, the purpose of this paper is to describe specific examples of how CM&S is currently used to support regulatory submissions at different phases of the TPLC and to present some of the stakeholder-led initiatives for advancing CM&S for regulatory decision-making.

Tailoring peripartum nursing care for women of advanced maternal age.

PubMed

Suplee, Patricia Dunphy; Dawley, Katy; Bloch, Joan Rosen

2007-01-01

Births to women of advanced maternal age have increased dramatically over the last decade in both the United States. The majority of women who deliver their first baby after age 35 are healthy and experience positive birth outcomes. According to current research, primigravidas over 35 tend to be educated consumers. Their physical and psychosocial needs differ from those of the mother in her 20s, due to advanced age and factors related to difficulty conceiving and life circumstances. This paper presents (a) an overview of the possible risks to outcomes of childbearing for women over the age of 35; (b) a discussion of how women of advanced maternal age may differ from younger women related to developmental stage, stress or anxiety or both, decision making, and support systems; and (c) an exploration of tailoring nursing care strategies during the peripartum period specifically for this age cohort.

Comparisons of guardianship laws and surrogate decision-making practices in China, Japan, Thailand and Australia: a review by the Asia Consortium, International Psychogeriatric Association (IPA) capacity taskforce.

PubMed

Tsoh, Joshua; Peisah, Carmelle; Narumoto, Jin; Wongpakaran, Nahathai; Wongpakaran, Tinakon; O'Neill, Nick; Jiang, Tao; Ogano, Shoichi; Mimura, Masaru; Kato, Yuka; Chiu, Helen

2015-06-01

The International Psychogeriatric Association (IPA) capacity taskforce was established to promote the autonomy, proper access to care, and dignity of persons with decision-making disabilities (DMDs) across nations. The Asia Consortium of the taskforce was established to pursue these goals in the Asia-Pacific region. This paper is part of the Asia Consortium's initiative to promote understanding and advocacy in regard to surrogate decision-making across the region. The current guardianship laws are compared, and jurisdictional variations in the processes for proxy decision-making to support persons with DMDs and other health and social needs in China, Japan, Thailand, and Australia are explored. The different Asia-Pacific countries have various proxy decision-making mechanisms in place for persons with DMDs, which are both formalized according to common law, civil law, and other legislation, and shaped by cultural practices. Various processes for guardianship and mechanisms for medical decision-making and asset management exist across the region. Processes that are still evolving across the region include those that facilitate advanced planning as a result of the paucity of legal structures for enduring powers of attorney (EPA) and guardianship in some regions, and the struggle to achieve consensual positions in regard to end-of-life decision-making. Formal processes for supporting decision-making are yet to be developed. The diverse legal approaches to guardianship and administration must be understood to meet the challenges of the rapidly ageing population in the Asia-Pacific region. Commonalities in the solutions and difficulties faced in encountering these challenges have global significance.

In-context query reformulation for failing SPARQL queries

NASA Astrophysics Data System (ADS)

Viswanathan, Amar; Michaelis, James R.; Cassidy, Taylor; de Mel, Geeth; Hendler, James

2017-05-01

Knowledge bases for decision support systems are growing increasingly complex, through continued advances in data ingest and management approaches. However, humans do not possess the cognitive capabilities to retain a bird's-eyeview of such knowledge bases, and may end up issuing unsatisfiable queries to such systems. This work focuses on the implementation of a query reformulation approach for graph-based knowledge bases, specifically designed to support the Resource Description Framework (RDF). The reformulation approach presented is instance-and schema-aware. Thus, in contrast to relaxation techniques found in the state-of-the-art, the presented approach produces in-context query reformulation.

Mobilizing women for minority health and social justice in california.

PubMed

Littlefield, Diane; Robison, Connie Chan; Engelbrecht, Luz; González, Belma; Hutcheson, Heather

2002-04-01

Women's Health Leadership is building the leadership capacity of diverse community leaders in California committed to promoting health and social justice in their communities. This program provides opportunities for cross-cultural exchanges of ideas, resources, and expertise. Graduates continue to receive technical support and to engage in peer learning via an alumnae network. The network is dedicated to advancing social justice issues and to addressing health disparities. It is also a way to mobilize trained grassroots leaders to provide expertise to influence policy decisions, to provide technical support and resources to local communities, and to foster new partnerships across the state.

Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review

PubMed Central

Kim, Ben YB

2017-01-01

Background The emergence of smartphones and tablets featuring vastly advancing functionalities (eg, sensors, computing power, interactivity) has transformed the way mHealth interventions support chronic disease management for older adults. Baby boomers have begun to widely adopt smart devices and have expressed their desire to incorporate technologies into their chronic care. Although smart devices are actively used in research, little is known about the extent, characteristics, and range of smart device-based interventions. Objective We conducted a scoping review to (1) understand the nature, extent, and range of smart device-based research activities, (2) identify the limitations of the current research and knowledge gap, and (3) recommend future research directions. Methods We used the Arksey and O’Malley framework to conduct a scoping review. We identified relevant studies from MEDLINE, Embase, CINAHL, and Web of Science databases using search terms related to mobile health, chronic disease, and older adults. Selected studies used smart devices, sampled older adults, and were published in 2010 or after. The exclusion criteria were sole reliance on text messaging (short message service, SMS) or interactive voice response, validation of an electronic version of a questionnaire, postoperative monitoring, and evaluation of usability. We reviewed references. We charted quantitative data and analyzed qualitative studies using thematic synthesis. To collate and summarize the data, we used the chronic care model. Results A total of 51 articles met the eligibility criteria. Research activity increased steeply in 2014 (17/51, 33%) and preexperimental design predominated (16/50, 32%). Diabetes (16/46, 35%) and heart failure management (9/46, 20%) were most frequently studied. We identified diversity and heterogeneity in the collection of biometrics and patient-reported outcome measures within and between chronic diseases. Across studies, we found 8 self-management supporting strategies and 4 distinct communication channels for supporting the decision-making process. In particular, self-monitoring (38/40, 95%), automated feedback (15/40, 38%), and patient education (13/40, 38%) were commonly used as self-management support strategies. Of the 23 studies that implemented decision support strategies, clinical decision making was delegated to patients in 10 studies (43%). The impact on patient outcomes was consistent with studies that used cellular phones. Patients with heart failure and asthma reported improved quality of life. Qualitative analysis yielded 2 themes of facilitating technology adoption for older adults and 3 themes of barriers. Conclusions Limitations of current research included a lack of gerontological focus, dominance of preexperimental design, narrow research scope, inadequate support for participants, and insufficient evidence for clinical outcome. Recommendations for future research include generating evidence for smart device-based programs, using patient-generated data for advanced data mining techniques, validating patient decision support systems, and expanding mHealth practice through innovative technologies. PMID:28536089

Older adults’ attitudes toward noncompetent subjects participating in Alzheimers research

PubMed Central

Karlawish, Jason; Rubright, Jonathan; Casarett, David; Cary, Mark; TenHave, Thomas; Sankar, Pamela

2008-01-01

Objective Since research that enrolls noncompetent patients with Alzheimers disease and does not present potential benefit to subjects is the source of substantial ethical controversy, we assessed willingness to have a proxy for research decision making, and, for each of two Alzheimers disease biomarker studies (minimal risk blood draw and a greater than minimal risk blood draw and lumbar puncture), willingness to grant an advance consent, and willingness to grant a proxy leeway over advance consent. Methods Face to face survey of 538 persons 65 and over who resided in the Southeastern Pennsylvania region Results The majority 83% (445/538) granted advance consent to a blood draw study and nearly half to a blood draw plus lumbar puncture 259 (48%). Most persons (96%) were willing to identify a proxy for research decision making and most were willing to grant their proxy leeway over their advance consent: blood draw 434 (81%), and 375 (70%) blood draw plus lumbar puncture. Combining the preferences for advance consent and leeway, the proportion who would permit being enrolled in the blood draw and spinal fluid sample studies were, respectively, 92% (497/538) and 75% (404/538). Multi-variate models showed that willingness to be enrolled in research was most strongly associated with a favorable attitude about biomedical research. Conclusions Older adults generally support enrolling noncompetent persons with Alzheimers disease into research that does not present a benefit to subjects. Willingness to grant their proxy leeway over advance consent and a favorable attitude about biomedical research substantially explain this willingness. PMID:18923066

A Hybrid-Cloud Science Data System Enabling Advanced Rapid Imaging & Analysis for Monitoring Hazards

NASA Astrophysics Data System (ADS)

Hua, H.; Owen, S. E.; Yun, S.; Lundgren, P.; Moore, A. W.; Fielding, E. J.; Radulescu, C.; Sacco, G.; Stough, T. M.; Mattmann, C. A.; Cervelli, P. F.; Poland, M. P.; Cruz, J.

2012-12-01

Volcanic eruptions, landslides, and levee failures are some examples of hazards that can be more accurately forecasted with sufficient monitoring of precursory ground deformation, such as the high-resolution measurements from GPS and InSAR. In addition, coherence and reflectivity change maps can be used to detect surface change due to lava flows, mudslides, tornadoes, floods, and other natural and man-made disasters. However, it is difficult for many volcano observatories and other monitoring agencies to process GPS and InSAR products in an automated scenario needed for continual monitoring of events. Additionally, numerous interoperability barriers exist in multi-sensor observation data access, preparation, and fusion to create actionable products. Combining high spatial resolution InSAR products with high temporal resolution GPS products--and automating this data preparation & processing across global-scale areas of interests--present an untapped science and monitoring opportunity. The global coverage offered by satellite-based SAR observations, and the rapidly expanding GPS networks, can provide orders of magnitude more data on these hazardous events if we have a data system that can efficiently and effectively analyze the voluminous raw data, and provide users the tools to access data from their regions of interest. Currently, combined GPS & InSAR time series are primarily generated for specific research applications, and are not implemented to run on large-scale continuous data sets and delivered to decision-making communities. We are developing an advanced service-oriented architecture for hazard monitoring leveraging NASA-funded algorithms and data management to enable both science and decision-making communities to monitor areas of interests via seamless data preparation, processing, and distribution. Our objectives: * Enable high-volume and low-latency automatic generation of NASA Solid Earth science data products (InSAR and GPS) to support hazards monitoring. * Facilitate NASA-USGS collaborations to share NASA InSAR and GPS data products, which are difficult to process in high-volume and low-latency, for decision-support. * Enable interoperable discovery, access, and sharing of NASA observations and derived actionable products, and between the observation and decision-making communities. * Enable their improved understanding through visualization, mining, and cross-agency sharing. Existing InSAR & GPS processing packages and other software are integrated for generating geodetic decision support monitoring products. We employ semantic and cloud-based data management and processing techniques for handling large data volumes, reducing end product latency, codifying data system information with semantics, and deploying interoperable services for actionable products to decision-making communities.

Evaluating a computer aid for assessing stomach symptoms (ECASS): study protocol for a randomised controlled trial.

PubMed

Moore, Helen J; Nixon, Catherine; Tariq, Anisah; Emery, Jon; Hamilton, Willie; Hoare, Zoë; Kershenbaum, Anne; Neal, Richard D; Ukoumunne, Obioha C; Usher-Smith, Juliet; Walter, Fiona M; Whyte, Sophie; Rubin, Greg

2016-04-04

For most cancers, only a minority of patients have symptoms meeting the National Institute for Health and Clinical Excellence guidance for urgent referral. For gastro-oesophageal cancers, the 'alarm' symptoms of dysphagia and weight loss are reported by only 32 and 8 % of patients, respectively, and their presence correlates with advanced-stage disease. Electronic clinical decision-support tools that integrate with clinical computer systems have been developed for general practice, although uncertainty remains concerning their effectiveness. The objectives of this trial are to optimise the intervention and establish the acceptability of both the intervention and randomisation, confirm the suitability and selection of outcome measures, finalise the design for the phase III definitive trial, and obtain preliminary estimates of the intervention effect. This is a two-arm, multi-centre, cluster-randomised, controlled phase II trial design, which will extend over a 16-month period, across 60 general practices within the North East and North Cumbria and the Eastern Local Clinical Research Network areas. Practices will be randomised to receive either the intervention (the electronic clinical decision-support tool) or to act as a control (usual care). From these practices, we will recruit 3000 adults who meet the trial eligibility criteria and present to their GP with symptoms suggestive of gastro-oesophageal cancer. The main measures are the process data, which include the practitioner outcomes, service outcomes, diagnostic intervals, health economic outcomes, and patient outcomes. One-on-one interviews in a sub-sample of 30 patient-GP dyads will be undertaken to understand the impact of the use or non-use of the electronic clinical decision-support tool in the consultation. A further 10-15 GPs will be interviewed to identify and gain an understanding of the facilitators and constraints influencing implementation of the electronic clinical decision-support tool in practice. We aim to generate new knowledge on the process measures regarding the use of electronic clinical decision-support tools in primary care in general and to inform a subsequent definitive phase III trial. Preliminary data on the impact of the support tool on resource utilisation and health care costs will also be collected. ISRCTN Registry, ISRCTN12595588 .

FEMA's Earthquake Incident Journal: A Web-Based Data Integration and Decision Support Tool for Emergency Management

NASA Astrophysics Data System (ADS)

Jones, M.; Pitts, R.

2017-12-01

For emergency managers, government officials, and others who must respond to rapidly changing natural disasters, timely access to detailed information related to affected terrain, population and infrastructure is critical for planning, response and recovery operations. Accessing, analyzing and disseminating such disparate information in near real-time are critical decision support components. However, finding a way to handle a variety of informative yet complex datasets poses a challenge when preparing for and responding to disasters. Here, we discuss the implementation of a web-based data integration and decision support tool for earthquakes developed by the Federal Emergency Management Agency (FEMA) as a solution to some of these challenges. While earthquakes are among the most well- monitored and measured of natural hazards, the spatially broad impacts of shaking, ground deformation, landslides, liquefaction, and even tsunamis, are extremely difficult to quantify without accelerated access to data, modeling, and analytics. This web-based application, deemed the "Earthquake Incident Journal", provides real-time access to authoritative and event-specific data from external (e.g. US Geological Survey, NASA, state and local governments, etc.) and internal (FEMA) data sources. The journal includes a GIS-based model for exposure analytics, allowing FEMA to assess the severity of an event, estimate impacts to structures and population in near real-time, and then apply planning factors to exposure estimates to answer questions such as: What geographic areas are impacted? Will federal support be needed? What resources are needed to support survivors? And which infrastructure elements or essential facilities are threatened? This presentation reviews the development of the Earthquake Incident Journal, detailing the data integration solutions, the methodology behind the GIS-based automated exposure model, and the planning factors as well as other analytical advances that provide near real-time decision support to the federal government.

A qualitative analysis of how advanced practice nurses use clinical decision support systems.

PubMed

Weber, Scott

2007-12-01

The purpose of this study was to generate a grounded theory that will reflect the experiences of advanced practice nurses (APNs) working as critical care nurse practitioners (NPs) and clinical nurse specialists (CNS) with computer-based decision-making systems. A study design using grounded theory qualitative research methods and convenience sampling was employed in this study. Twenty-three APNs (13 CNS and 10 NPs) were recruited from 16 critical care units located in six large urban medical centers in the U.S. Midwest. Single-structured in-depth interviews with open-ended audio-taped questions were conducted with each APN. Through this process, APNs defined what they consider to be relevant themes and patterns of clinical decision system use in their critical care practices, and they identified the interrelatedness of the conceptual categories that emerged from the results. Data were analyzed using the constant comparative analysis method of qualitative research. APN participants were predominantly female, white/non-Hispanic, had a history of access to the clinical decision system used in their critical care settings for an average of 14 months, and had attended a formal training program to learn how to use clinical decision systems. "Forecasting decision outcomes," which was defined as the voluntary process employed to forecast the outcomes of patient care decisions in critical care prior to actual decision making, was the core variable describing system use that emerged from the responses. This variable consisted of four user constructs or components: (a) users' perceptions of their initial system learning experience, (b) users' sense of how well they understand how system technology works, (c) users' understanding of how system inferences are created or derived, and (d) users' relative trust of system-derived data. Each of these categories was further described through the grounded theory research process, and the relationships between the categories were identified. The findings of this study suggest that the main reason critical care APNs choose to integrate clinical decision systems into their practices is to provide an objective, scientifically derived, technology-based backup for human forecasting of the outcomes of patient care decisions prior to their actual decision making. Implications for nursing, health care, and technology research are presented.

Thinking like an expert: surgical decision making as a cyclical process of being aware.

PubMed

Cristancho, Sayra M; Apramian, Tavis; Vanstone, Meredith; Lingard, Lorelei; Ott, Michael; Forbes, Thomas; Novick, Richard

2016-01-01

Education researchers are studying the practices of high-stake professionals as they learn how to better train for flexibility under uncertainty. This study explores the "Reconciliation Cycle" as the core element of an intraoperative decision-making model of how experienced surgeons assess and respond to challenges. We analyzed 32 semistructured interviews using constructivist grounded theory to develop a model of intraoperative decision making. Using constant comparison analysis, we built on this model with 9 follow-up interviews about the most challenging cases described in our dataset. The Reconciliation Cycle constituted an iterative process of "gaining" and "transforming information." The cyclical nature of surgeons' decision making suggested that transforming information requires a higher degree of awareness, not yet accounted by current conceptualizations of situation awareness. This study advances the notion of situation awareness in surgery. This characterization will support further investigations on how expert and nonexpert surgeons implement strategies to cope with unexpected events. Copyright © 2016 Elsevier Inc. All rights reserved.

The online community based decision making support system for mitigating biased decision making

NASA Astrophysics Data System (ADS)

Kang, Sunghyun; Seo, Jiwan; Choi, Seungjin; Kim, Junho; Han, Sangyong

2016-10-01

As the Internet technology and social media advance, various information and opinions are shared and distributed through the online communities. However, the existence of implicit and explicit bias of opinions may have a potential influence on the outcomes. Compared to the importance of mitigating biased information, the study in this field is relatively young and does not address many important issues. In this paper we propose the noble approach to mitigate the biased opinions using conventional machine learning methods. The proposed method extracts the useful features such as inclination and sentiment of the community members. They are classified based on their previous behavior, and the propensity of the members is understood. This information on each community and its members is very useful and improve the ability to make an unbiased decision. The proposed method presented in this paper is shown to have the ability to assist optimal, fair and good decision making while also reducing the influence of implicit bias.

Enabling personalized cancer medicine decisions: The challenging pharmacological approach of PBPK models for nanomedicine and pharmacogenomics (Review).

PubMed

Vizirianakis, Ioannis S; Mystridis, George A; Avgoustakis, Konstantinos; Fatouros, Dimitrios G; Spanakis, Marios

2016-04-01

The existing tumor heterogeneity and the complexity of cancer cell biology critically demand powerful translational tools with which to support interdisciplinary efforts aiming to advance personalized cancer medicine decisions in drug development and clinical practice. The development of physiologically based pharmacokinetic (PBPK) models to predict the effects of drugs in the body facilitates the clinical translation of genomic knowledge and the implementation of in vivo pharmacology experience with pharmacogenomics. Such a direction unequivocally empowers our capacity to also make personalized drug dosage scheme decisions for drugs, including molecularly targeted agents and innovative nanoformulations, i.e. in establishing pharmacotyping in prescription. In this way, the applicability of PBPK models to guide individualized cancer therapeutic decisions of broad clinical utility in nanomedicine in real-time and in a cost-affordable manner will be discussed. The latter will be presented by emphasizing the need for combined efforts within the scientific borderlines of genomics with nanotechnology to ensure major benefits and productivity for nanomedicine and personalized medicine interventions.

Older patients with late-stage COPD: Their illness experiences and involvement in decision-making regarding mechanical ventilation and noninvasive ventilation.

PubMed

Jerpseth, Heidi; Dahl, Vegard; Nortvedt, Per; Halvorsen, Kristin

2018-02-01

To explore the illness experiences of older patients with late-stage chronic obstructive pulmonary disease and to develop knowledge about how patients perceive their preferences to be taken into account in decision-making processes concerning mechanical ventilation and/or noninvasive ventilation. Decisions about whether older patients with late-stage chronic obstructive pulmonary disease will benefit from noninvasive ventilation treatment or whether the time has come for palliative treatment are complicated, both medically and ethically. Knowledge regarding patients' values and preferences concerning ventilation support is crucial yet often lacking. Qualitative design with a hermeneutic-phenomenological approach. The data consist of qualitative in-depth interviews with 12 patients from Norway diagnosed with late-stage chronic obstructive pulmonary disease. The data were analysed within the three interpretative contexts described by Kvale and Brinkmann. The participants described their lives as fragile and burdensome, frequently interrupted by unpredictable and frightening exacerbations. They lacked information about their diagnosis and prognosis and were often not included in decisions about noninvasive ventilation or mechanical ventilation. Findings indicate that these patients are highly vulnerable and have complex needs in terms of nursing care and medical treatment. Moreover, they need access to proactive advanced care planning and an opportunity to discuss their wishes for treatment and care. To provide competent care for these patients, healthcare personnel must be aware of how patients experience being seriously ill. Advanced care planning and shared decision-making should be initiated alongside the curative treatment. © 2017 John Wiley & Sons Ltd.

How family caregivers' medical and moral assumptions influence decision making for patients in the vegetative state: a qualitative interview study.

PubMed

Kuehlmeyer, Katja; Borasio, Gian Domenico; Jox, Ralf J

2012-06-01

Decisions on limiting life-sustaining treatment for patients in the vegetative state (VS) are emotionally and morally challenging. In Germany, doctors have to discuss, together with the legal surrogate (often a family member), whether the proposed treatment is in accordance with the patient's will. However, it is unknown whether family members of the patient in the VS actually base their decisions on the patient's wishes. To examine the role of advance directives, orally expressed wishes, or the presumed will of patients in a VS for family caregivers' decisions on life-sustaining treatment. A qualitative interview study with 14 next of kin of patients in a VS in a long-term care setting was conducted; 13 participants were the patient's legal surrogates. Interviews were analysed according to qualitative content analysis. The majority of family caregivers said that they were aware of aforementioned wishes of the patient that could be applied to the VS condition, but did not base their decisions primarily on these wishes. They gave three reasons for this: (a) the expectation of clinical improvement, (b) the caregivers' definition of life-sustaining treatments and (c) the moral obligation not to harm the patient. If the patient's wishes were not known or not revealed, the caregivers interpreted a will to live into the patient's survival and non-verbal behaviour. Whether or not prior treatment wishes of patients in a VS are respected depends on their applicability, and also on the medical assumptions and moral attitudes of the surrogates. We recommend repeated communication, support for the caregivers and advance care planning.

Advanced Clinical Decision Support for Transport of the Critically Ill Patient

DTIC Science & Technology

2013-12-01

algorithms, status asthmaticus and status epilepticus , are to "go live" for use on pediatric critical care transport by the end of October. (Appendices 5...additional algorithms ( status asthmaticus and status epilepticus , Appendices 5 and 6). 8) Plans for validation testing to other transport teams...Practice Guideline Status Epilepticus Clinical Practice Guideline 17 d .s:. ... > 0 Cf :~f t t) ’ U t I .!! ~ .. z ~ i ~ t 0 - : i l

GeoLab 2011: New Instruments and Operations Tested at Desert RATS

NASA Technical Reports Server (NTRS)

Evans, Cindy A.; Calaway, M. J.; Bell, M. S.

2012-01-01

GeoLab is a geological laboratory and testbed designed for supporting geoscience activities during NASA's analog demonstrations. Scientists at NASA's Johnson Space Center built GeoLab as part of a technology project to aid the development of science operational concepts for future planetary surface missions [1, 2, 3]. It is integrated into NASA's Habitat Demonstration Unit, a first generation exploration habitat test article. As a prototype workstation, GeoLab provides a high fidelity working space for analog mission crewmembers to perform in-situ characterization of geologic samples and communicate their findings with supporting scientists. GeoLab analog operations can provide valuable data for assessing the operational and scientific considerations of surface-based geologic analyses such as preliminary examination of samples collected by astronaut crews [4, 5]. Our analog tests also feed into sample handling and advanced curation operational concepts and procedures that will, ultimately, help ensure that the most critical samples are collected during future exploration on a planetary surface, and aid decisions about sample prioritization, sample handling and return. Data from GeoLab operations also supports science planning during a mission by providing additional detailed geologic information to supporting scientists, helping them make informed decisions about strategies for subsequent sample collection opportunities.

Using detailed inter-network simulation and model abstraction to investigate and evaluate joint battlespace infosphere (JBI) support technologies

NASA Astrophysics Data System (ADS)

Green, David M.; Dallaire, Joel D.; Reaper, Jerome H.

2004-08-01

The Joint Battlespace Infosphere (JBI) program is performing a technology investigation into global communications, data mining and warehousing, and data fusion technologies by focusing on techniques and methodologies that support twenty first century military distributed collaboration. Advancement of these technologies is vitally important if military decision makers are to have the right data, in the right format, at the right time and place to support making the right decisions within available timelines. A quantitative understanding of individual and combinational effects arising from the application of technologies within a framework is presently far too complex to evaluate at more than a cursory depth. In order to facilitate quantitative analysis under these circumstances, the Distributed Information Enterprise Modeling and Simulation (DIEMS) team was formed to apply modeling and simulation (M&S) techniques to help in addressing JBI analysis challenges. The DIEMS team has been tasked utilizing collaborative distributed M&S architectures to quantitatively evaluate JBI technologies and tradeoffs. This paper first presents a high level view of the DIEMS project. Once this approach has been established, a more concentrated view of the detailed communications simulation techniques used in generating the underlying support data sets is presented.

"It's like playing with your destiny": Bosnian immigrants' views of advance directives and end-of-life decision-making.

PubMed

Searight, H Russell; Gafford, Jennifer

2005-07-01

Patient autonomy is a primary value in US health care. It is assumed that patients want to be fully and directly informed about serious health conditions and want to engage in advance planning about medical care at the end-of-life. Written advance directives and proxy decision-makers are vehicles to promote autonomy when patients are no longer able to represent their wishes. Cross-cultural studies have raised questions about the universal acceptance of these health care values among all ethnicities. In the current investigation, Bosnian immigrants were interviewed about their views of physician-patient communication, advance directives, and locus of decision-making in serious illness. Many of the respondents indicated that they did not want to be directly informed of a serious illness. There was an expressed preference for physician- or family-based health care decisions. Advance directives and formally appointed proxies were typically seen as unnecessary and inconsistent with many respondents' personal values. The findings suggest that the value of individual autonomy and control over the health care decisions may not be applicable to cultures with a collectivist orientation.

Advances in Medical Analytics Solutions for Autonomous Medical Operations on Long-Duration Missions

NASA Technical Reports Server (NTRS)

Thompson, David E.; Lindsey, Antonia Edward

2017-01-01

A review will be presented on the progress made under STMDGame Changing Development Program Funding towards the development of a Medical Decision Support System for augmenting crew capabilities during long-duration missions, such as Mars Transit. To create an MDSS, initial work requires acquiring images and developing models that analyze and assess the features in such medical biosensor images that support medical assessment of pathologies. For FY17, the project has focused on ultrasound images towards cardiac pathologies: namely, evaluation and assessment of pericardial effusion identification and discrimination from related pneumothorax and even bladder-induced infections that cause inflammation around the heart. This identification is substantially changed due to uncertainty due to conditions of fluid behavior under space-microgravity. This talk will present and discuss the work-to-date in this Project, recognizing conditions under which various machine learning technologies, deep-learning via convolutional neural nets, and statistical learning methods for feature identification and classification can be employed and conditioned to graphical format in preparation for attachment to an inference engine that eventually creates decision support recommendations to remote crew in a triage setting.

Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's EcoCAR

NASA Astrophysics Data System (ADS)

Fox, Matthew D.

Advanced automotive technology assessment and powertrain design are increasingly performed through modeling, simulation, and optimization. But technology assessments usually target many competing criteria making any individual optimization challenging and arbitrary. Further, independent design simulations and optimizations take considerable time to execute, and design constraints and objectives change throughout the design process. Changes in design considerations usually require re-processing of simulations and more time. In this thesis, these challenges are confronted through CSU's participation in the EcoCAR2 hybrid vehicle design competition. The complexity of the competition's design objectives leveraged development of a decision support system tool to aid in multi-criteria decision making across technologies and to perform powertrain optimization. To make the decision support system interactive, and bypass the problem of long simulation times, a new approach was taken. The result of this research is CSU's architecture selection and component sizing, which optimizes a composite objective function representing the competition score. The selected architecture is an electric vehicle with an onboard range extending hydrogen fuel cell system. The vehicle has a 145kW traction motor, 18.9kWh of lithium ion battery, a 15kW fuel cell system, and 5kg of hydrogen storage capacity. Finally, a control strategy was developed that improves the vehicles performance throughout the driving range under variable driving conditions. In conclusion, the design process used in this research is reviewed and evaluated against other common design methodologies. I conclude, through the highlighted case studies, that the approach is more comprehensive than other popular design methodologies and is likely to lead to a higher quality product. The upfront modeling work and decision support system formulation will pay off in superior and timely knowledge transfer and more informed design decisions. The hypothesis is supported by the three case studies examined in this thesis.

Leveraging Electronic Tablets for General Pediatric Care

PubMed Central

McKee, S.; Dugan, T.M.; Downs, S.M.

2015-01-01

Summary Background We have previously shown that a scan-able paper based interface linked to a computerized clinical decision support system (CDSS) can effectively screen patients in pediatric waiting rooms and support the physician using evidence based care guidelines at the time of clinical encounter. However, the use of scan-able paper based interface has many inherent limitations including lacking real time communication with the CDSS and being prone to human and system errors. An electronic tablet based user interface can not only overcome these limitations, but may also support advanced functionality for clinical and research use. However, use of such devices for pediatric care is not well studied in clinical settings. Objective In this pilot study, we enhance our pediatric CDSS with an electronic tablet based user interface and evaluate it for usability as well as for changes in patient questionnaire completion rates. Methods Child Health Improvement through Computers Leveraging Electronic Tablets or CHICLET is an electronic tablet based user interface. It is developed to augment the existing scan-able paper interface to our CDSS. For the purposes of this study, we deployed CHICLET in one outpatient pediatric clinic. Usability factors for CHICLET were evaluated via caregiver and staff surveys. Results When compared to the scan-able paper based interface, we observed an 18% increase or 30% relative increase in question completion rates using CHICLET. This difference was statistically significant. Caregivers and staff survey results were positive for using CHICLET in clinical environment. Conclusions Electronic tablets are a viable interface for capturing patient self-report in pediatric waiting rooms. We further hypothesize that the use of electronic tablet based interfaces will drive advances in computerized clinical decision support and create opportunities for patient engagement. PMID:25848409

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

PubMed

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

2015-03-01

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

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation.

PubMed

Whiffin, Nicola; Walsh, Roddy; Govind, Risha; Edwards, Matthew; Ahmad, Mian; Zhang, Xiaolei; Tayal, Upasana; Buchan, Rachel; Midwinter, William; Wilk, Alicja E; Najgebauer, Hanna; Francis, Catherine; Wilkinson, Sam; Monk, Thomas; Brett, Laura; O'Regan, Declan P; Prasad, Sanjay K; Morris-Rosendahl, Deborah J; Barton, Paul J R; Edwards, Elizabeth; Ware, James S; Cook, Stuart A

2018-01-25

PurposeInternationally adopted variant interpretation guidelines from the American College of Medical Genetics and Genomics (ACMG) are generic and require disease-specific refinement. Here we developed CardioClassifier (http://www.cardioclassifier.org), a semiautomated decision-support tool for inherited cardiac conditions (ICCs).MethodsCardioClassifier integrates data retrieved from multiple sources with user-input case-specific information, through an interactive interface, to support variant interpretation. Combining disease- and gene-specific knowledge with variant observations in large cohorts of cases and controls, we refined 14 computational ACMG criteria and created three ICC-specific rules.ResultsWe benchmarked CardioClassifier on 57 expertly curated variants and show full retrieval of all computational data, concordantly activating 87.3% of rules. A generic annotation tool identified fewer than half as many clinically actionable variants (64/219 vs. 156/219, Fisher's P = 1.1  ×  10 -18 ), with important false positives, illustrating the critical importance of disease and gene-specific annotations. CardioClassifier identified putatively disease-causing variants in 33.7% of 327 cardiomyopathy cases, comparable with leading ICC laboratories. Through addition of manually curated data, variants found in over 40% of cardiomyopathy cases are fully annotated, without requiring additional user-input data.ConclusionCardioClassifier is an ICC-specific decision-support tool that integrates expertly curated computational annotations with case-specific data to generate fast, reproducible, and interactive variant pathogenicity reports, according to best practice guidelines.GENETICS in MEDICINE advance online publication, 25 January 2018; doi:10.1038/gim.2017.258.

The Experience of Older People in the Shared Decision-Making Process in Advanced Kidney Care.

PubMed

Thomas, Nicola; 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.

Bringing the "social" into sociohydrology: Conservation policy support in the Central Great Plains of Kansas, USA

NASA Astrophysics Data System (ADS)

Sanderson, Matthew R.; Bergtold, Jason S.; Heier Stamm, Jessica L.; Caldas, Marcellus M.; Ramsey, Steven M.

2017-08-01

Identifying means of empirically modeling the human component of a coupled, human-water system becomes critically important to further advances in sociohydrology. We develop a social-psychological model of environmental decision making that addresses four key challenges of incorporating social science into integrated models. We use the model to explain preferences for three conservation policies designed to conserve and protect water resources and aquatic ecosystems in the Smoky Hill River Basin, a semiarid agricultural region in the Central U.S. Great Plains. Further, we compare the model's capacity to explain policy preferences among members of two groups in the River Basin: agricultural producers and members of nonfarming communities. We find that financial obligation is the strongest and most consistent explanation of support for conservation policies among members of both groups. We also find that policy support is grounded in cultural values—deeply held ideas about right and wrong. Environmental values are particularly important explanations of policy support. The constellations of values invoked to make decisions about policies, and the social-psychological pathways linking values to policy support, can vary across policies and types of agents (farmers and nonfarmers). We discuss the implications of the results for future research in sociohydrology.

Too Soon to Give Up? Re-examining the Value of Advance Directives

PubMed Central

Levi, Benjamin H.; Green, Michael J.

2013-01-01

In the face of mounting criticism against advance directives, we describe how a novel, computer-based decision aid addresses some of these important concerns. This decision aid, Making Your Wishes Known: Planning Your Medical Future, translates an individual’s values and goals into a meaningful advance directive that explicitly reflects their healthcare wishes and outlines a plan for how they wish to be treated. It does this by 1) educating users about advance care planning; 2) helping individuals identify, clarify, and prioritize factors that influence their decision-making about future medical conditions; 3) explaining common end-of-life medical conditions and life-sustaining treatment; 4) helping users articulate a coherent set of wishes with regard to advance care planning—in the form of an advance directive readily interpretable by physicians; and 5) helping individuals both choose a spokesperson, and prepare to engage family, friends, and healthcare providers in discussions about advance care planning. PMID:20379910

Bridging groundwater models and decision support with a Bayesian network

USGS Publications Warehouse

Fienen, Michael N.; Masterson, John P.; Plant, Nathaniel G.; Gutierrez, Benjamin T.; Thieler, E. Robert

2013-01-01

Resource managers need to make decisions to plan for future environmental conditions, particularly sea level rise, in the face of substantial uncertainty. Many interacting processes factor in to the decisions they face. Advances in process models and the quantification of uncertainty have made models a valuable tool for this purpose. Long-simulation runtimes and, often, numerical instability make linking process models impractical in many cases. A method for emulating the important connections between model input and forecasts, while propagating uncertainty, has the potential to provide a bridge between complicated numerical process models and the efficiency and stability needed for decision making. We explore this using a Bayesian network (BN) to emulate a groundwater flow model. We expand on previous approaches to validating a BN by calculating forecasting skill using cross validation of a groundwater model of Assateague Island in Virginia and Maryland, USA. This BN emulation was shown to capture the important groundwater-flow characteristics and uncertainty of the groundwater system because of its connection to island morphology and sea level. Forecast power metrics associated with the validation of multiple alternative BN designs guided the selection of an optimal level of BN complexity. Assateague island is an ideal test case for exploring a forecasting tool based on current conditions because the unique hydrogeomorphological variability of the island includes a range of settings indicative of past, current, and future conditions. The resulting BN is a valuable tool for exploring the response of groundwater conditions to sea level rise in decision support.

A work-centered cognitively based architecture for decision support: the work-centered infomediary layer (WIL) model

NASA Astrophysics Data System (ADS)

Zachary, Wayne; Eggleston, Robert; Donmoyer, Jason; Schremmer, Serge

2003-09-01

Decision-making is strongly shaped and influenced by the work context in which decisions are embedded. This suggests that decision support needs to be anchored by a model (implicit or explicit) of the work process, in contrast to traditional approaches that anchor decision support to either context free decision models (e.g., utility theory) or to detailed models of the external (e.g., battlespace) environment. An architecture for cognitively-based, work centered decision support called the Work-centered Informediary Layer (WIL) is presented. WIL separates decision support into three overall processes that build and dynamically maintain an explicit context model, use the context model to identify opportunities for decision support and tailor generic decision-support strategies to the current context and offer them to the system-user/decision-maker. The generic decision support strategies include such things as activity/attention aiding, decision process structuring, work performance support (selective, contextual automation), explanation/ elaboration, infosphere data retrieval, and what if/action-projection and visualization. A WIL-based application is a work-centered decision support layer that provides active support without intent inferencing, and that is cognitively based without requiring classical cognitive task analyses. Example WIL applications are detailed and discussed.

Advanced construction management for lunar base construction - Surface operations planner

NASA Technical Reports Server (NTRS)

Kehoe, Robert P.

1992-01-01

The study proposes a conceptual solution and lays the framework for developing a new, sophisticated and intelligent tool for a lunar base construction crew to use. This concept integrates expert systems for critical decision making, virtual reality for training, logistics and laydown optimization, automated productivity measurements, and an advanced scheduling tool to form a unique new planning tool. The concept features extensive use of computers and expert systems software to support the actual work, while allowing the crew to control the project from the lunar surface. Consideration is given to a logistics data base, laydown area management, flexible critical progress scheduler, video simulation of assembly tasks, and assembly information and tracking documentation.

Key Metrics and Goals for NASA's Advanced Air Transportation Technologies Program

NASA Technical Reports Server (NTRS)

Kaplan, Bruce; Lee, David

1998-01-01

NASA's Advanced Air Transportation Technologies (AATT) program is developing a set of decision support tools to aid air traffic service providers, pilots, and airline operations centers in improving operations of the National Airspace System (NAS). NASA needs a set of unifying metrics to tie these efforts together, which it can use to track the progress of the AATT program and communicate program objectives and status within NASA and to stakeholders in the NAS. This report documents the results of our efforts and the four unifying metrics we recommend for the AATT program. They are: airport peak capacity, on-route sector capacity, block time and fuel, and free flight-enabling.

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.

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

Adams, Brian M.; Coleman, Kayla; Hooper, Russell

2016-11-01

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically, it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility. This manual offers Consortium for Advanced Simulation of Light Water Reactors (LWRs) (CASL) partners a guide to conducting Dakota-based VUQ studies for CASL problems. It motivates various classes of Dakota methods and includes examples of their use on representative application problems. On reading, a CASL analyst should understand why and howmore » to apply Dakota to a simulation problem.« less

Using Big Data Analytics to Advance Precision Radiation Oncology.

PubMed

McNutt, Todd R; Benedict, Stanley H; Low, Daniel A; Moore, Kevin; Shpitser, Ilya; Jiang, Wei; Lakshminarayanan, Pranav; Cheng, Zhi; Han, Peijin; Hui, Xuan; Nakatsugawa, Minoru; Lee, Junghoon; Moore, Joseph A; Robertson, Scott P; Shah, Veeraj; Taylor, Russ; Quon, Harry; Wong, John; DeWeese, Theodore

2018-06-01

Big clinical data analytics as a primary component of precision medicine is discussed, identifying where these emerging tools fit in the spectrum of genomics and radiomics research. A learning health system (LHS) is conceptualized that uses clinically acquired data with machine learning to advance the initiatives of precision medicine. The LHS is comprehensive and can be used for clinical decision support, discovery, and hypothesis derivation. These developing uses can positively impact the ultimate management and therapeutic course for patients. The conceptual model for each use of clinical data, however, is different, and an overview of the implications is discussed. With advancements in technologies and culture to improve the efficiency, accuracy, and breadth of measurements of the patient condition, the concept of an LHS may be realized in precision radiation therapy. Copyright © 2018 Elsevier Inc. All rights reserved.

[Nursing and the humanization of the end- of-life care within healthcare systems].

PubMed

Gómez Arca, Marina

2014-01-01

The reflection upon the humanisation of the end-of-life process within healthcare systems and the implication of healthcare professionals is the main objective of this article. The evolution of the model of care and nurses leadership role at the end-of-life process is evaluated. This analysis starts from the first European references regarding advance wills, made in 1997 at the Oviedo Convention, until the introduction of the idea of advance directives incorporated into Spanish law in 2002. It sets the concept of advance planning in health-related decisions, which establishes a process of voluntary dialogue where every person can clarify values, preferences and wishes regarding the final moments of life, with the support of the healthcare professionals. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

Advances in Risk Analysis with Big Data.

PubMed

Choi, Tsan-Ming; Lambert, James H

2017-08-01

With cloud computing, Internet-of-things, wireless sensors, social media, fast storage and retrieval, etc., organizations and enterprises have access to unprecedented amounts and varieties of data. Current risk analysis methodology and applications are experiencing related advances and breakthroughs. For example, highway operations data are readily available, and making use of them reduces risks of traffic crashes and travel delays. Massive data of financial and enterprise systems support decision making under risk by individuals, industries, regulators, etc. In this introductory article, we first discuss the meaning of big data for risk analysis. We then examine recent advances in risk analysis with big data in several topic areas. For each area, we identify and introduce the relevant articles that are featured in the special issue. We conclude with a discussion on future research opportunities. © 2017 Society for Risk Analysis.

Overcoming barriers to cancer-helpline professionals providing decision support for callers: an implementation study.

PubMed

Stacey, Dawn; Chambers, Suzanne K; Jacobsen, Mary Jane; Dunn, Jeff

2008-11-01

To evaluate the effect of an intervention on healthcare professionals' perceptions of barriers influencing their provision of decision support for callers facing cancer-related decisions. A pre- and post-test study guided by the Ottawa Model of Research Use. Australian statewide cancer call center that provides public access to information and supportive cancer services. 34 nurses, psychologists, and other allied healthcare professionals at the cancer call center. Participants completed baseline measures and, subsequently, were exposed to an intervention that included a decision support tutorial, coaching protocol, and skill-building workshop. Strategies were implemented to address organizational barriers. Perceived barriers and facilitators influencing provision of decision support, decision support knowledge, quality of decision support provided to standardized callers, and call length. Postintervention participants felt more prepared, confident in providing decision support, and aware of decision support resources. They had a stronger belief that providing decision support was within their role. Participants significantly improved their knowledge and provided higher-quality decision support to standardized callers without changing call length. The implementation intervention overcame several identified barriers that influenced call center professionals when providing decision support. Nurses and other helpline professionals have the potential to provide decision support designed to help callers understand cancer information, clarify their values associated with their options, and reduce decisional conflict. However, they require targeted education and organizational interventions to reduce their perceived barriers to providing decision support.

The Mental Capacity Act 2005: implications for dietetic practice.

PubMed

Lyons, C; Brotherton, A; Stanley, N; Carrahar, M; Manthorpe, J

2007-08-01

The Mental Capacity Act (MCA) 2005 will be implemented in England and Wales in 2007 and have consequences for dietitians who work with people who may lack capacity to make specific decisions. This paper will explore issues arising from the introduction of the Act and considers the implications for dietitians involved in the delivery of clinical care, using enteral feeding as an illustrative example. If patients lack capacity to make specific decisions, dietitians will be required to record if, how and why they reached a decision, how they are involved in the decision making process and need to be able to justify their actions in relation to those decisions. This paper discusses the importance of dietitians' involvement in best interests decision making and considers the implications of decision making where people have drawn up a Lasting Power of Attorney. The role of such advance decisions is discussed and consideration is given to the potential compatibility of perspectives between the patient and family that may give rise to disputes. Dietitians may be well placed within multidisciplinary team working to ensure patients and their carers are part of the decision making process through effective communication and support for patients. Dietitians in England and Wales must consider the implications of the MCA upon their clinical practice and others outside these jurisdictions may like to reflect on the relevance of such developments in their own contexts.

Shared decision making: what do clinicians need to know and why should they bother?

PubMed

Hoffmann, Tammy C; Légaré, France; Simmons, Magenta B; McNamara, Kevin; McCaffery, Kirsten; Trevena, Lyndal J; Hudson, Ben; Glasziou, Paul P; Del Mar, Christopher B

2014-07-07

Shared decision making enables a clinician and patient to participate jointly in making a health decision, having discussed the options and their benefits and harms, and having considered the patient's values, preferences and circumstances. It is not a single step to be added into a consultation, but a process that can be used to guide decisions about screening, investigations and treatments. The benefits of shared decision making include enabling evidence and patients' preferences to be incorporated into a consultation; improving patient knowledge, risk perception accuracy and patient-clinician communication; and reducing decisional conflict, feeling uninformed and inappropriate use of tests and treatments. Various approaches can be used to guide clinicians through the process. We elaborate on five simple questions that can be used: What will happen if the patient waits and watches? What are the test or treatment options? What are the benefits and harms of each option? How do the benefits and harms weigh up for the patient? Does the patient have enough information to make a choice? Although shared decision making can occur without tools, various types of decision support tools now exist to facilitate it. Misconceptions about shared decision making are hampering its implementation. We address the barriers, as perceived by clinicians. Despite numerous international initiatives to advance shared decision making, very little has occurred in Australia. Consequently, we are lagging behind many other countries and should act urgently.

The Mental Capacity Act 1: advance decisions.

PubMed

Lynch, Teresa

This is the first of a two-part unit on the Mental Capacity Act 2005. Part 1 outlines the act's key principles and implications. Healthcare professionals' responsibilities are examined in relation to advance decisions.

Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables.

PubMed

Zlotnik, Alexander; Alfaro, Miguel Cuchí; Pérez, María Carmen Pérez; Gallardo-Antolín, Ascensión; Martínez, Juan Manuel Montero

2016-05-01

The usage of decision support tools in emergency departments, based on predictive models, capable of estimating the probability of admission for patients in the emergency department may give nursing staff the possibility of allocating resources in advance. We present a methodology for developing and building one such system for a large specialized care hospital using a logistic regression and an artificial neural network model using nine routinely collected variables available right at the end of the triage process.A database of 255.668 triaged nonobstetric emergency department presentations from the Ramon y Cajal University Hospital of Madrid, from January 2011 to December 2012, was used to develop and test the models, with 66% of the data used for derivation and 34% for validation, with an ordered nonrandom partition. On the validation dataset areas under the receiver operating characteristic curve were 0.8568 (95% confidence interval, 0.8508-0.8583) for the logistic regression model and 0.8575 (95% confidence interval, 0.8540-0. 8610) for the artificial neural network model. χ Values for Hosmer-Lemeshow fixed "deciles of risk" were 65.32 for the logistic regression model and 17.28 for the artificial neural network model. A nomogram was generated upon the logistic regression model and an automated software decision support system with a Web interface was built based on the artificial neural network model.

High satisfaction and low decisional conflict with advance care planning among chronically ill patients with advanced chronic obstructive pulmonary disease or heart failure using an online decision aid: A pilot study.

PubMed

Van Scoy, Lauren J; Green, Michael J; Dimmock, Anne Ef; Bascom, Rebecca; Boehmer, John P; Hensel, Jessica K; Hozella, Joshua B; Lehman, Erik B; Schubart, Jane R; Farace, Elana; Stewart, Renee R; Levi, Benjamin H

2016-09-01

Many patients with chronic illnesses report a desire for increased involvement in medical decision-making. This pilot study aimed to explore how patients with exacerbation-prone disease trajectories such as advanced heart failure or chronic obstructive pulmonary disease experience advance care planning using an online decision aid and to compare whether patients with different types of exacerbation-prone illnesses had varied experiences using the tool. Pre-intervention questionnaires measured advance care planning knowledge. Post-intervention questionnaires measured: (1) advance care planning knowledge; (2) satisfaction with tool; (3) decisional conflict; and (4) accuracy of the resultant advance directive. Comparisons were made between patients with heart failure and chronic obstructive pulmonary disease. Over 90% of the patients with heart failure (n = 24) or chronic obstructive pulmonary disease (n = 25) reported being "satisfied" or "highly satisfied" with the tool across all satisfaction domains; over 90% of participants rated the resultant advance directive as "very accurate." Participants reported low decisional conflict. Advance care planning knowledge scores rose by 18% (p < 0.001) post-intervention. There were no significant differences between participants with heart failure and chronic obstructive pulmonary disease. Patients with advanced heart failure and chronic obstructive pulmonary disease were highly satisfied after using an online advance care planning decision aid and had increased knowledge of advance care planning. This tool can be a useful resource for time-constrained clinicians whose patients wish to engage in advance care planning. © The Author(s) 2016.

Prototype Tool and Focus Group Evaluation for an Advanced Trajectory-Based Operations Concept

NASA Technical Reports Server (NTRS)

Guerreiro, Nelson M.; Jones, Denise R.; Barmore, Bryan E.; Butler, Ricky W.; Hagen, George E.; Maddalon, Jeffrey M.; Ahmad, Nash'at N.

2017-01-01

Trajectory-based operations (TBO) is a key concept in the Next Generation Air Transportation System transformation of the National Airspace System (NAS) that will increase the predictability and stability of traffic flows, support a common operational picture through the use of digital data sharing, facilitate more effective collaborative decision making between airspace users and air navigation service providers, and enable increased levels of integrated automation across the NAS. NASA has been developing trajectory-based systems to improve the efficiency of the NAS during specific phases of flight and is now also exploring Advanced 4-Dimensional Trajectory (4DT) operational concepts that will integrate these technologies and incorporate new technology where needed to create both automation and procedures to support gate-to-gate TBO. A TBO Prototype simulation toolkit has been developed that demonstrates initial functionality of an Advanced 4DT TBO concept. Pilot and controller subject matter experts (SMEs) were brought to the Air Traffic Operations Laboratory at NASA Langley Research Center for discussions on an Advanced 4DT operational concept and were provided an interactive demonstration of the TBO Prototype using four example scenarios. The SMEs provided feedback on potential operational, technological, and procedural opportunities and concerns. This paper describes an Advanced 4DT operational concept, the TBO Prototype, the demonstration scenarios and methods used, and the feedback obtained from the pilot and controller SMEs in this focus group activity.

A system-of-systems approach as a broad and integrated paradigm for sustainable engineered nanomaterials.

PubMed

Tolaymat, Thabet; El Badawy, Amro; Sequeira, Reynold; Genaidy, Ash

2015-04-01

There is an urgent need for a trans-disciplinary approach for the collective evaluation of engineered nanomaterial (ENM) benefits and risks. Currently, research studies are mostly focused on examining effects at individual endpoints with emphasis on ENM risk effects. Less research work is pursuing the integration needed to advance the science of sustainable ENMs. Therefore, the primary objective of this article is to discuss the system-of-systems (SoS) approach as a broad and integrated paradigm to examine ENM benefits and risks to society, environment, and economy (SEE) within a sustainability context. The aims are focused on: (a) current approaches in the scientific literature and the need for a broad and integrated approach, (b) documentation of ENM SoS in terms of architecture and governing rules and practices within sustainability context, and (c) implementation plan for the road ahead. In essence, the SoS architecture is a communication vehicle offering the opportunity to track benefits and risks in an integrated fashion so as to understand the implications and make decisions about advancing the science of sustainable ENMs. In support of the SoS architecture, we propose using an analytic-based decision support system consisting of a knowledge base and analytic engine along the benefit and risk informatics routes in the SEE system to build sound decisions on what constitutes sustainable and unsustainable ENMs in spite of the existing uncertainties and knowledge gaps. The work presented herein is neither a systematic review nor a critical appraisal of the scientific literature. Rather, it is a position paper that largely expresses the views of the authors based on their expert opinion drawn from industrial and academic experience. Copyright © 2014. Published by Elsevier B.V.

Can This Patient Be Discharged Home? Factors Associated With At-Home Death Among Patients With Cancer

PubMed Central

Alonso-Babarro, Alberto; Bruera, Eduardo; Varela-Cerdeira, María; Boya-Cristia, María Jesús; Madero, Rosario; Torres-Vigil, Isabel; De Castro, Javier; González-Barón, Manuel

2011-01-01

Purpose The purpose of this study was to identify factors associated with at-home death among patients with advanced cancer and create a decision-making model for discharging patients from an acute-care hospital. Patients and Methods We conducted an observational cohort study to identify the association between place of death and the clinical and demographic characteristics of patients with advanced cancer who received care from a palliative home care team (PHCT) and of their primary caregivers. We used logistic regression analysis to identify the predictors of at-home death. Results We identified 380 patients who met the study inclusion criteria; of these, 245 patients (64%) died at home, 72 (19%) died in an acute-care hospital, 60 (16%) died in a palliative care unit, and three (1%) died in a nursing home. Median follow-up was 48 days. We included the 16 variables that were significant in univariate analysis in our decision-making model. Five variables predictive of at-home death were retained in the multivariate analysis: caregiver's preferred place of death, patients' preferred place of death, caregiver's perceived social support, number of hospital admission days, and number of PHCT visits. A subsequent reduced model including only those variables that were known at the time of discharge (caregivers' preferred place of death, patients' preferred place of death, and caregivers' perceived social support) had a sensitivity of 96% and a specificity of 81% in predicting place of death. Conclusion Asking a few simple patient- and family-centered questions may help to inform the decision regarding the best place for end-of-life care and death. PMID:21343566

Enabling Decisive Strategic Maneuver for the Army Beyond 2010

DTIC Science & Technology

1999-08-01

System and a small Advanced Fire Support System ( AFSS ). In the long run, it might be better to have several vehicles share an AFSS . These are...18 tons M-113APC 9 tons C’OTM 4 tons Flyer w/5 ton AFSS 10 tons Flyer, 5 ton resupply 10 tons Robotic rotorcraft Self ferry All systems were...Task Force Man-portable Air Defense System Manpower and Personnel Integration Micro- Autonomous Vehicles Micro-Electro-Mechanics Micro Electric

Reply to "transforming oncology care": advancing value, accessing innovation.

PubMed

Paradis, Rebecca

2015-09-01

Alternative payment models in oncology are already successfully standardizing care, curbing costs, and improving the patient experience. Yet, it is unclear whether decision makers are adequately considering patient access to innovation when creating these models, which could have severe consequences for a robust innovation ecosystem and the lives of afflicted patients. The suggested chart includes recommendations on: Allowing for the adoption of new, promising therapies; Promoting the measurement of patient-centered outcomes; and Providing support for personalized medicine.

xEMU Lite Development Plan

NASA Technical Reports Server (NTRS)

Rodriggs, Liana

2017-01-01

Since 2012, the Advanced EVA Development team has been maturing the design for an exploration suit (xEMU) capable of supporting Deep Space Gateway missions with the goal of demonstrating the core system architecture (xEMU Lite) on ISS by the mid-2020s. This presentation will provide a high-level status on progress made since the 2016 EVA Workshop, an overview of the xEMU architecture, and a summary of new development milestones and decision points between now and 2024.

Advanced Datapresence From A New Generation Of Research Vessels

NASA Astrophysics Data System (ADS)

Romsos, C. G.; Nahorniak, J.; Watkins-Brandt, K.; Bailey, D.; Reimers, C.

2016-02-01

The design of the next generation Regional Class Research Vessels (RCRV) for the U.S. academic research fleet includes the development of advanced datapresence systems and capabilities. Datapresence is defined here as the real-time transfer of scientific and operational data between vessel and shore, to facilitate shore-based participation in oceanographic expeditions. Datapresent technologies on the RCRVs build upon the demonstrated success of telepresence activities on satellite-connected ships. Specifically, the RCRV datapresence design integrates a broad suite of ocean and meteorological sensors on the vessel into a networked environment with satellite communication access. In addition to enabling operational decisions from shore, these capabilities will bring ocean research to the classroom and local communities, advancing ocean and atmospheric literacy, via dynamic data products that support hands-on exercises and demonstrations of oceanographic and atmospheric processes. The operational requirements of data integration, management, visualization, and user-interaction are being developed and tested now and will be refined over the next 5-6 years during the RCRV construction and transition to operations phases. This presentation will illustrate the RCRV datapresence design and how datapresent technologies will transform these National Science Foundation-owned coastal ships into continuous sampling and data streaming platforms that leverage onshore resources for making efficient scientific and operational decisions.

Complex decision making in patients with dementia in an internal medicine department.

PubMed

Kabelka, Ladislav

2017-10-01

With the increase of polymorbidity, extending life expectancy and improving treatment options for chronic diseases, the care for dementia is moving into other areas of medicine. The length and quality of life with advanced dementia is directly dependent on the quality of medical and nursing care, early detection and treatment of complications, nutritional support and palliative care plan. Significant is also the support for family carers. The key coordinators of care for patients with dementia are general practitioners (GPs), geriatricians, psychiatrists, and an increasingly important role play internists. Case reports of patients admitted to an internal medicine department. Description of clinical experiences with caring on patients with dementia. In the internal departments of regional hospitals, there is a room for adjustment of the care plan, for comprehensive assessment of the patient and for making crucial decisions regarding nutrition, treatment of chronic diseases, consideration of previously expressed wishes in the context of the patient condition, and potential prognostic indicators. This assessment must result in a comprehensive documentation and communication with patients, and in the case of advanced dementia with their family members. The general internal medicine is very often the first place where the patient has a chance to hear about indication for palliative care. Without the availability of a multidisciplinary assessment, good communication and documentation, it is unrealistic to expect that the hospital would provide comprehensive care for patients with dementia.

'She's usually quicker than the calculator': financial management and decision-making in couples living with dementia.

PubMed

Boyle, Geraldine

2013-09-01

This article explores how married couples managed their finances and made financial decisions when one spouse had dementia, drawing comparisons with the approaches used prior to the illness. More specifically, the article examines the role of social factors in influencing the involvement of people with dementia in financial management and decision-making, particularly whether a gender dynamic adopted earlier in a marriage similarly influenced a gendered approach following dementia. The research formed part of a larger study of everyday decision-making by couples living with dementia which explored the role of non-cognitive factors in influencing whether people with dementia were involved in decision-making processes. Twenty-one married couples living at home took part; the recently-diagnosed were excluded. Qualitative methods -including participant observation and interviews - were used to examine the couples' fiscal management and decision-making-processes, the perceptions of people with dementia and their spouses about their current financial abilities and whether any support provided by spouse-carers influenced their partners' financial capacity. The fieldwork was undertaken in the North of England between June 2010 and May 2011. Thematic analysis of the data showed that social factors influenced the perceived capacity of people with dementia and the financial practices adopted by the couples. In particular, gender influenced whether people with dementia were involved in financial decisions. The research demonstrated that non-cognitive factors need to be taken into account when assessing and facilitating the capacity of people with dementia. In addition, as people with dementia were somewhat marginalised in decisions about designating financial authority (Lasting Power of Attorney), spouse-carers may need guidance on how to undertake advance care planning and how to support their relatives with dementia in major decision-making, particularly when there are communication difficulties. © 2013 John Wiley & Sons Ltd.

The Importance of Earth Observations and Data Collaboration within Environmental Intelligence Supporting Arctic Research

NASA Technical Reports Server (NTRS)

Casas, Joseph

2017-01-01

Within the IARPC Collaboration Team activities of 2016, Arctic in-situ and remote earth observations advanced topics such as :1) exploring the role for new and innovative autonomous observing technologies in the Arctic; 2) advancing catalytic national and international community based observing efforts in support of the National Strategy for the Arctic Region; and 3) enhancing the use of discovery tools for observing system collaboration such as the U.S. National Oceanic and Atmospheric Administration (NOAA) Arctic Environmental Response Management Application (ERMA) and the U.S. National Aeronautics and Space Administration (NASA) Arctic Collaborative Environment (ACE) project geo reference visualization decision support and exploitation internet based tools. Critical to the success of these earth observations for both in-situ and remote systems is the emerging of new and innovative data collection technologies and comprehensive modeling as well as enhanced communications and cyber infrastructure capabilities which effectively assimilate and dissemination many environmental intelligence products in a timely manner. The Arctic Collaborative Environment (ACE) project is well positioned to greatly enhance user capabilities for accessing, organizing, visualizing, sharing and producing collaborative knowledge for the Arctic.

Electronic health records (EHRs): supporting ASCO's vision of cancer care.

PubMed

Yu, Peter; Artz, David; Warner, Jeremy

2014-01-01

ASCO's vision for cancer care in 2030 is built on the expanding importance of panomics and big data, and envisions enabling better health for patients with cancer by the rapid transformation of systems biology knowledge into cancer care advances. This vision will be heavily dependent on the use of health information technology for computational biology and clinical decision support systems (CDSS). Computational biology will allow us to construct models of cancer biology that encompass the complexity of cancer panomics data and provide us with better understanding of the mechanisms governing cancer behavior. The Agency for Healthcare Research and Quality promotes CDSS based on clinical practice guidelines, which are knowledge bases that grow too slowly to match the rate of panomic-derived knowledge. CDSS that are based on systems biology models will be more easily adaptable to rapid advancements and translational medicine. We describe the characteristics of health data representation, a model for representing molecular data that supports data extraction and use for panomic-based clinical research, and argue for CDSS that are based on systems biology and are algorithm-based.

Translational informatics: an industry perspective.

PubMed

Cantor, Michael N

2012-01-01

Translational informatics (TI) is extremely important for the pharmaceutical industry, especially as the bar for regulatory approval of new medications is set higher and higher. This paper will explore three specific areas in the drug development lifecycle, from tools developed by precompetitive consortia to standardized clinical data collection to the effective delivery of medications using clinical decision support, in which TI has a major role to play. Advancing TI will require investment in new tools and algorithms, as well as ensuring that translational issues are addressed early in the design process of informatics projects, and also given higher weight in funding or publication decisions. Ultimately, the source of translational tools and differences between academia and industry are secondary, as long as they move towards the shared goal of improving health.

Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics

PubMed Central

Qiao, Guixiu; Weiss, Brian A.

2016-01-01

Unexpected equipment downtime is a ‘pain point’ for manufacturers, especially in that this event usually translates to financial losses. To minimize this pain point, manufacturers are developing new health monitoring, diagnostic, prognostic, and maintenance (collectively known as prognostics and health management (PHM)) techniques to advance the state-of-the-art in their maintenance strategies. The manufacturing community has a wide-range of needs with respect to the advancement and integration of PHM technologies to enhance manufacturing robotic system capabilities. Numerous researchers, including personnel from the National Institute of Standards and Technology (NIST), have identified a broad landscape of barriers and challenges to advancing PHM technologies. One such challenge is the verification and validation of PHM technology through the development of performance metrics, test methods, reference datasets, and supporting tools. Besides documenting and presenting the research landscape, NIST personnel are actively researching PHM for robotics to promote the development of innovative sensing technology and prognostic decision algorithms and to produce a positional accuracy test method that emphasizes the identification of static and dynamic positional accuracy. The test method development will provide manufacturers with a methodology that will allow them to quickly assess the positional health of their robot systems along with supporting the verification and validation of PHM techniques for the robot system. PMID:28058172

Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics.

PubMed

Qiao, Guixiu; Weiss, Brian A

2016-01-01

Unexpected equipment downtime is a 'pain point' for manufacturers, especially in that this event usually translates to financial losses. To minimize this pain point, manufacturers are developing new health monitoring, diagnostic, prognostic, and maintenance (collectively known as prognostics and health management (PHM)) techniques to advance the state-of-the-art in their maintenance strategies. The manufacturing community has a wide-range of needs with respect to the advancement and integration of PHM technologies to enhance manufacturing robotic system capabilities. Numerous researchers, including personnel from the National Institute of Standards and Technology (NIST), have identified a broad landscape of barriers and challenges to advancing PHM technologies. One such challenge is the verification and validation of PHM technology through the development of performance metrics, test methods, reference datasets, and supporting tools. Besides documenting and presenting the research landscape, NIST personnel are actively researching PHM for robotics to promote the development of innovative sensing technology and prognostic decision algorithms and to produce a positional accuracy test method that emphasizes the identification of static and dynamic positional accuracy. The test method development will provide manufacturers with a methodology that will allow them to quickly assess the positional health of their robot systems along with supporting the verification and validation of PHM techniques for the robot system.

Enabling joined-up decision making with geotemporal information

NASA Astrophysics Data System (ADS)

Smith, M. J.; Ahmed, S. E.; Purves, D. W.; Emmott, S.; Joppa, L. N.; Caldararu, S.; Visconti, P.; Newbold, T.; Formica, A. F.

2015-12-01

While the use of geospatial data to assist in decision making is becoming increasingly common, the use of geotemporal information: information that can be indexed by geographical space AND time, is much rarer. I will describe our scientific research and software development efforts intended to advance the availability and use of geotemporal information in general. I will show two recent examples of "stacking" geotemporal information to support land use decision making in the Brazilian Amazon and Kenya, involving data-constrained predictive models and empirically derived datasets of road development, deforestation, carbon, agricultural yields, water purification and poverty alleviation services and will show how we use trade-off analyses and constraint reasoning algorithms to explore the costs and benefits of different decisions. For the Brazilian Amazon we explore tradeoffs involved in different deforestation scenarios, while for Kenya we explore the impacts of conserving forest to support international carbon conservation initiatives (REDD+). I will also illustrate the cloud-based software tools we have developed to enable anyone to access geotemporal information, gridded (e.g. climate) or non-gridded (e.g. protected areas), for the past, present or future and incorporate such information into their analyses (e.g. www.fetchclimate.org), including how we train new predictive models to such data using Bayesian techniques: on this latter point I will show how we combine satellite and ground measured data with predictive models to forecast how crops might respond to climate change.

Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard.

PubMed

Lobach, David F; Kawamoto, Kensaku; Anstrom, Kevin J; Russell, Michael L; Woods, Peter; Smith, Dwight

2007-01-01

Clinical decision support is recognized as one potential remedy for the growing crisis in healthcare quality in the United States and other industrialized nations. While decision support systems have been shown to improve care quality and reduce errors, these systems are not widely available. This lack of availability arises in part because most decision support systems are not portable or scalable. The Health Level 7 international standard development organization recently adopted a draft standard known as the Decision Support Service standard to facilitate the implementation of clinical decision support systems using software services. In this paper, we report the first implementation of a clinical decision support system using this new standard. This system provides point-of-care chronic disease management for diabetes and other conditions and is deployed throughout a large regional health system. We also report process measures and usability data concerning the system. Use of the Decision Support Service standard provides a portable and scalable approach to clinical decision support that could facilitate the more extensive use of decision support systems.

Preserving the Finger Lakes for the Future: A Prototype Decision Support System for Water Resource Management, Open Space, and Agricultural Protection

NASA Technical Reports Server (NTRS)

Brower, Robert

2003-01-01

As described herein, this project has progressed well, with the initiation or completion of a number of program facets at programmatic, technical, and inter-agency levels. The concept of the Virtual Management Operations Center has taken shape, grown, and has been well received by parties from a wide variety of agencies and organizations in the Finger Lakes region and beyond. As it has evolved in design and functionality, and to better illustrate its current focus for this project, it has been given the expanded name of Watershed Virtual Management Operations Center (W-VMOC). It offers the advanced, compelling functionality of interactive 3D visualization interfaced with 2D mapping, all accessed via Internet or virtually any kind of distributed computer network. This strong foundation will allow the development of a Decision Support System (DSS) with anticipated enhanced functionality to be applied to the myriad issues involved in the wise management of the Finger Lakes region.

Robust parameter extraction for decision support using multimodal intensive care data

PubMed Central

Clifford, G.D.; Long, W.J.; Moody, G.B.; Szolovits, P.

2008-01-01

Digital information flow within the intensive care unit (ICU) continues to grow, with advances in technology and computational biology. Recent developments in the integration and archiving of these data have resulted in new opportunities for data analysis and clinical feedback. New problems associated with ICU databases have also arisen. ICU data are high-dimensional, often sparse, asynchronous and irregularly sampled, as well as being non-stationary, noisy and subject to frequent exogenous perturbations by clinical staff. Relationships between different physiological parameters are usually nonlinear (except within restricted ranges), and the equipment used to measure the observables is often inherently error-prone and biased. The prior probabilities associated with an individual's genetics, pre-existing conditions, lifestyle and ongoing medical treatment all affect prediction and classification accuracy. In this paper, we describe some of the key problems and associated methods that hold promise for robust parameter extraction and data fusion for use in clinical decision support in the ICU. PMID:18936019

Improving management of type 2 diabetes - findings of the Type2Care clinical audit.

PubMed

Barlow, John; Krassas, George

2013-01-01

Type 2 diabetes was responsible for 5.8% of the total disease burden in Australia in 2010. Despite advances in clinical management many type 2 diabetes (T2D) patients have suboptimal glycaemic control. Using quantitative questionnaires, general practitioners prospectively evaluated their management of 761 T2D patients at two time points, 6 months apart. Following the first audit, GPs received feedback and a decision support tool. Patients were then re-audited to assess if the intervention altered management. The use of annual cycle of care plans significantly increased by 12% during the audit. General practitioner performance improved across all measures with the greatest gains being in the use of care plans and measuring and meeting targets for microalbumin. Glycaemic control was well managed in this cohort (mean HbA1c 6.9% for both audit cycles). The Type2Care clinical audit provided decision support tools and diabetes registers that improved the delivery of care to patients with T2D.

Integrating observation and statistical forecasts over sub-Saharan Africa to support Famine Early Warning

USGS Publications Warehouse

Funk, Chris; Verdin, James P.; Husak, Gregory

2007-01-01

Famine early warning in Africa presents unique challenges and rewards. Hydrologic extremes must be tracked and anticipated over complex and changing climate regimes. The successful anticipation and interpretation of hydrologic shocks can initiate effective government response, saving lives and softening the impacts of droughts and floods. While both monitoring and forecast technologies continue to advance, discontinuities between monitoring and forecast systems inhibit effective decision making. Monitoring systems typically rely on high resolution satellite remote-sensed normalized difference vegetation index (NDVI) and rainfall imagery. Forecast systems provide information on a variety of scales and formats. Non-meteorologists are often unable or unwilling to connect the dots between these disparate sources of information. To mitigate these problem researchers at UCSB's Climate Hazard Group, NASA GIMMS and USGS/EROS are implementing a NASA-funded integrated decision support system that combines the monitoring of precipitation and NDVI with statistical one-to-three month forecasts. We present the monitoring/forecast system, assess its accuracy, and demonstrate its application in food insecure sub-Saharan Africa.

Revolution then evolution: the advance of health economic evaluation in Australia.

PubMed

Lopert, Ruth; Viney, Rosalie

2014-01-01

All governments face immense challenges in providing affordable healthcare for their citizens, and the diffusion of novel health technologies is a key driver of growth in expenditure for many. Although important methodological and process variations exist around the world, health economic evaluation is increasingly seen as an important tool to support decision-making around the introduction of new health technologies, interventions and programmes in countries of varying stages of economic development. In Australia, the assessment of the comparative cost-effectiveness of new medicines proposed for subsidy under the country's national drug subsidy programme, the Pharmaceutical Benefits Scheme, was introduced in the late 1980s and became mandatory in 1993, making Australia the first country to introduce such a requirement nationally. Since then the use of health economic evaluation has expanded and been applied to support decision-making across a broader range of health technologies, as well as to programmes in public health. Copyright © 2014. Published by Elsevier GmbH.

Coordinated management of combined sewer overflows by means of environmental decision support systems.

PubMed

Murla, Damian; Gutierrez, Oriol; Martinez, Montse; Suñer, David; Malgrat, Pere; Poch, Manel

2016-04-15

During heavy rainfall, the capacity of sewer systems and wastewater treatment plants may be surcharged producing uncontrolled wastewater discharges and a depletion of the environmental quality. Therefore there is a need of advanced management tools to tackle with these complex problems. In this paper an environmental decision support system (EDSS), based on the integration of mathematical modeling and knowledge-based systems, has been developed for the coordinated management of urban wastewater systems (UWS) to control and minimize uncontrolled wastewater spills. Effectiveness of the EDSS has been tested in a specially designed virtual UWS, including two sewers systems, two WWTP and one river subjected to typical Mediterranean rain conditions. Results show that sewer systems, retention tanks and wastewater treatment plants improve their performance under wet weather conditions and that EDSS can be very effective tools to improve the management and prevent the system from possible uncontrolled wastewater discharges. Copyright © 2016 Elsevier B.V. All rights reserved.

A pattern-based analysis of clinical computer-interpretable guideline modeling languages.

PubMed

Mulyar, Nataliya; van der Aalst, Wil M P; Peleg, Mor

2007-01-01

Languages used to specify computer-interpretable guidelines (CIGs) differ in their approaches to addressing particular modeling challenges. The main goals of this article are: (1) to examine the expressive power of CIG modeling languages, and (2) to define the differences, from the control-flow perspective, between process languages in workflow management systems and modeling languages used to design clinical guidelines. The pattern-based analysis was applied to guideline modeling languages Asbru, EON, GLIF, and PROforma. We focused on control-flow and left other perspectives out of consideration. We evaluated the selected CIG modeling languages and identified their degree of support of 43 control-flow patterns. We used a set of explicitly defined evaluation criteria to determine whether each pattern is supported directly, indirectly, or not at all. PROforma offers direct support for 22 of 43 patterns, Asbru 20, GLIF 17, and EON 11. All four directly support basic control-flow patterns, cancellation patterns, and some advance branching and synchronization patterns. None support multiple instances patterns. They offer varying levels of support for synchronizing merge patterns and state-based patterns. Some support a few scenarios not covered by the 43 control-flow patterns. CIG modeling languages are remarkably close to traditional workflow languages from the control-flow perspective, but cover many fewer workflow patterns. CIG languages offer some flexibility that supports modeling of complex decisions and provide ways for modeling some decisions not covered by workflow management systems. Workflow management systems may be suitable for clinical guideline applications.

In Pursuit of Decisive Action: Air Power’s Impact On the Guadalcanal Campaign

DTIC Science & Technology

2013-06-01

PRESENTED TO THE FACULTY OF THE SCHOOL OF ADVANCED AIR AND SPACE STUDIES FOR COMPLETION OF GRADUATION REQUIREMENTS SCHOOL OF ADVANCED AIR AND...while the other seeks to reestablish parity in the essential condition. To summarize, air power is not universally decisive because at present there...potential in terms of decisiveness. Although the concept of decisiveness was not new to warfare, its present emphasis stems from the writings of two

How Decision Support Systems Can Benefit from a Theory of Change Approach.

PubMed

Allen, Will; Cruz, Jennyffer; Warburton, Bruce

2017-06-01

Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

How Decision Support Systems Can Benefit from a Theory of Change Approach

NASA Astrophysics Data System (ADS)

Allen, Will; Cruz, Jennyffer; Warburton, Bruce

2017-06-01

Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

Climate Information Needs for Financial Decision Making

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

Higgins, Paul

Climate Information Needs for Financial Decision Making (Final Report) This Department of Energy workshop award (grant #DE-SC0008480) provided primary support for the American Meteorological Society’s study on climate information needs for financial decision making. The goal of this study was to help advance societal decision making by examining the implications of climate variability and change on near-term financial investments. We explored four key topics: 1) the conditions and criteria that influence returns on investment of major financial decisions, 2) the climate sensitivity of financial decisions, 3) climate information needs of financial decision makers, and 4) potential new mechanisms to promotemore » collaboration between scientists and financial decision makers. Better understanding of these four topics will help scientists provide the most useful information and enable financial decision makers to use scientific information most effectively. As a result, this study will enable leaders in business and government to make well-informed choices that help maximize long-term economic success and social wellbeing in the United States The outcomes of the study include a workshop, which brought together leaders from the scientific and financial decision making communities, a publication of the study report, and a public briefing of the results to the policy community. In addition, we will present the results to the scientific community at the AMS Annual Meeting in February, 2014. The study results were covered well by the media including Bloomberg News and E&E News. Upon request, we also briefed the Office of Science Technology Policy (OSTP) and the Council on Environmental Quality (CEQ) on the outcomes. We presented the results to the policy community through a public briefing in December on Capitol Hill. The full report is publicly available at www.ametsoc.org/cin. Summary of Key Findings The United States invests roughly $1.5 trillion U.S. dollars (USD) in capital assets each year across the public and private sectors (Orszag 2008; United States Census Bureau 2013). Extreme weather events create and exacerbate risks to these financial investments by contributing to: • Direct physical impacts on the investments themselves • Degradation of critical supporting infrastructure • Changes in the availability of key natural resources • Changes to workforce availability or capacity • Changes in the customer base • Supply chain disruptions • Legal liability • Shifts in the regulatory environment • Reductions in credit ratings Even small changes in weather can impact operations in critical economic sectors. As a result, maximizing returns on financial investments depends on accurately understanding and effectively accounting for these risks. Climate variability and change can either exacerbate existing risks or cause new sources of risk to emerge. Managing these risks most effectively will depend on scientific advances and increases in the capacity of financial decision makers to use the scientific knowledge that results. Barriers to using climate information must also be overcome. This study proposes three predefined levels of certainty for communicating about weather and climate risks: 1) possible (i.e., unknown likelihood or less than 50% chance of occurrence), 2) probable (greater than 50% chance of occurrence), and 3) effectively certain (at least 95% chance of occurrence). For example, it is effectively certain that a change in climate will alter weather patterns. It is probable that climate warming will cause increases in the intensity of some extreme events. It is possible that climate change will cause major and widespread disruptions to key planetary life-support services. Key recommendations of this study: 1) Identify climate-related risks and opportunities for financial decision making. 2) Create a framework to translate scientific information in clear and actionable terms for financial decision makers. 3) Analyze existing climate assessments and translate projected impacts into possible, probable, and effectively certain impacts. 4) Improve climate projections with respect to precipitation (timing, amount, and intensity), extreme events, and tails of probability distributions (i.e., low-probability but high-consequence events). 5) Increase spatial resolution of climate projections in order to provide climate information at the scale most relevant to financial investments. 6) Improve projections of the societal consequences of climate impacts through integrated assessments of physical, natural, and social sciences. 7) Create a user-friendly information repository and portal that provides easy access to information relevant to financial decision making. 8) Create and maintain opportunities to bring together financial decision makers, scientists, and service providers. Near-term financial decisions have long-term implications for the United States’ social and economic well-being that depend, in part, on climate variability and change. Investments will be most successful, and will advance the interests of society most effectively, if they are grounded in the best available knowledge & understanding.« less

Justifying reimbursement for Alzheimer's diagnostics and treatments: Seeking alignment on evidence.

PubMed

Foster, Norman L; Hackett, Judith S M; White, Greg; Chenevert, Sherri; Svarvar, Patrick; Bain, Lisa; Carrillo, Maria C

2014-07-01

The increasing cost of health care combined with expensive new drugs and diagnostics is leading to more frequent gaps between regulatory and subsequent reimbursement approval decisions. As a result, persons with Alzheimer's disease may have difficulty accessing the benefit of medical advances. In contrast to the long history and established structure for drug approval, payer decision making is dispersed, not standardized, and perspectives on necessary evidence and the evaluation of this evidence differ and are often poorly defined. Particularly challenging is how to demonstrate the value of drugs and diagnostics for patients who do not yet have significant functional decline. Although discussions to develop consensus continue, clinical trials should begin to incorporate health system and patient-oriented outcomes. In some situations, additional studies designed to demonstrate value and comparative effectiveness will be needed. Such studies should examine outcomes of representative populations in community settings. To assure scientific advances in diagnosis and treatment benefit in patients, developing evidence to support reimbursement will become as important as obtaining regulatory approval. Copyright © 2014 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Education of advanced practice nurses in Canada.

PubMed

Martin-Misener, Ruth; Bryant-Lukosius, Denise; Harbman, Patricia; Donald, Faith; Kaasalainen, Sharon; Carter, Nancy; Kilpatrick, Kelley; DiCenso, Alba

2010-12-01

In Canada, education programs for the clinical nurse specialist (CNS) and nurse practitioner (NP) roles began 40 years ago. NP programs are offered in almost all provinces. Education for the CNS role has occurred through graduate nursing programs generically defined as providing preparation for advanced nursing practice. For this paper, we drew on pertinent sections of a scoping review of the literature and key informant interviews conducted for a decision support synthesis on advanced practice nursing to describe the following: (1) history of advanced practice nursing education in Canada, (2) current status of advanced practice nursing education in Canada, (3) curriculum issues, (4) interprofessional education, (5) resources for education and (6) continuing education. Although national frameworks defining advanced nursing practice and NP competencies provide some direction for education programs, Canada does not have countrywide standards of education for either the NP or CNS role. Inconsistency in the educational requirements for primary healthcare NPs continues to cause significant problems and interferes with inter-jurisdictional licensing portability. For both CNSs and NPs, there can be a mismatch between a generalized education and specialized practice. The value of interprofessional education in facilitating effective teamwork is emphasized. Recommendations for future directions for advanced practice nursing education are offered.

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…

Information giving and decision-making in patients with advanced cancer: a systematic review.

PubMed

Gaston, Christine M; Mitchell, Geoffrey

2005-11-01

Patients with advanced, non-curable cancer face difficult decisions on further treatment, where a small increase in survival time must be balanced against the toxicity of the treatment. If patients want to be involved in these decisions, in keeping with current notions of autonomy and empowerment, they also require to be adequately informed both on the treatments proposed and on their own disease status and prognosis. A systematic review was performed on decision-making and information provision in patients with advanced cancer. Studies of interventions to improve information giving and encourage participation in decision-making were reviewed, including both randomised controlled trials and uncontrolled studies. Almost all patients expressed a desire for full information, but only about two-thirds wished to participate actively in decision-making. Higher educational level, younger age and female sex were predictive of a desire to participate in decision-making. Active decision-making was more common in patients with certain cancers (e.g. breast) than others (e.g. prostate). A number of simple interventions including question prompt sheets, audio-taping of consultations and patient decision aids have been shown to facilitate such involvement.

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 the topic area. Conclusions A decision aid for shared advance care planning for severe COPD was found acceptable to most COPD patients and their doctors. However, many patient participants did not demonstrate understanding of the treatment options or prognostic estimates. Many participants endorsed the use of the decision aid between doctors and their patients with COPD, although they desired more information about quality of life. The design must optimize comprehensibility, including revising the presentation of statistical information in the icon array, and feasibility of integration into clinical workflow, including shortening the decision aid. PMID:27025896

Decision Support | Solar Research | NREL

Science.gov Websites

informed solar decision making with credible, objective, accessible, and timely resources. Solar Energy Decision Support Decision Support NREL provides technical and analytical support to support provide unbiased information on solar policies and issues for state and local government decision makers

Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review.

PubMed

Kim, Ben Yb; Lee, Joon

2017-05-23

The emergence of smartphones and tablets featuring vastly advancing functionalities (eg, sensors, computing power, interactivity) has transformed the way mHealth interventions support chronic disease management for older adults. Baby boomers have begun to widely adopt smart devices and have expressed their desire to incorporate technologies into their chronic care. Although smart devices are actively used in research, little is known about the extent, characteristics, and range of smart device-based interventions. We conducted a scoping review to (1) understand the nature, extent, and range of smart device-based research activities, (2) identify the limitations of the current research and knowledge gap, and (3) recommend future research directions. We used the Arksey and O'Malley framework to conduct a scoping review. We identified relevant studies from MEDLINE, Embase, CINAHL, and Web of Science databases using search terms related to mobile health, chronic disease, and older adults. Selected studies used smart devices, sampled older adults, and were published in 2010 or after. The exclusion criteria were sole reliance on text messaging (short message service, SMS) or interactive voice response, validation of an electronic version of a questionnaire, postoperative monitoring, and evaluation of usability. We reviewed references. We charted quantitative data and analyzed qualitative studies using thematic synthesis. To collate and summarize the data, we used the chronic care model. A total of 51 articles met the eligibility criteria. Research activity increased steeply in 2014 (17/51, 33%) and preexperimental design predominated (16/50, 32%). Diabetes (16/46, 35%) and heart failure management (9/46, 20%) were most frequently studied. We identified diversity and heterogeneity in the collection of biometrics and patient-reported outcome measures within and between chronic diseases. Across studies, we found 8 self-management supporting strategies and 4 distinct communication channels for supporting the decision-making process. In particular, self-monitoring (38/40, 95%), automated feedback (15/40, 38%), and patient education (13/40, 38%) were commonly used as self-management support strategies. Of the 23 studies that implemented decision support strategies, clinical decision making was delegated to patients in 10 studies (43%). The impact on patient outcomes was consistent with studies that used cellular phones. Patients with heart failure and asthma reported improved quality of life. Qualitative analysis yielded 2 themes of facilitating technology adoption for older adults and 3 themes of barriers. Limitations of current research included a lack of gerontological focus, dominance of preexperimental design, narrow research scope, inadequate support for participants, and insufficient evidence for clinical outcome. Recommendations for future research include generating evidence for smart device-based programs, using patient-generated data for advanced data mining techniques, validating patient decision support systems, and expanding mHealth practice through innovative technologies. ©Ben YB Kim, Joon Lee. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 23.05.2017.

How family caregivers' medical and moral assumptions influence decision making for patients in the vegetative state: a qualitative interview study

PubMed Central

Borasio, Gian Domenico; Jox, Ralf J

2012-01-01

Background Decisions on limiting life-sustaining treatment for patients in the vegetative state (VS) are emotionally and morally challenging. In Germany, doctors have to discuss, together with the legal surrogate (often a family member), whether the proposed treatment is in accordance with the patient's will. However, it is unknown whether family members of the patient in the VS actually base their decisions on the patient's wishes. Objective To examine the role of advance directives, orally expressed wishes, or the presumed will of patients in a VS for family caregivers' decisions on life-sustaining treatment. Methods and sample A qualitative interview study with 14 next of kin of patients in a VS in a long-term care setting was conducted; 13 participants were the patient's legal surrogates. Interviews were analysed according to qualitative content analysis. Results The majority of family caregivers said that they were aware of aforementioned wishes of the patient that could be applied to the VS condition, but did not base their decisions primarily on these wishes. They gave three reasons for this: (a) the expectation of clinical improvement, (b) the caregivers' definition of life-sustaining treatments and (c) the moral obligation not to harm the patient. If the patient's wishes were not known or not revealed, the caregivers interpreted a will to live into the patient's survival and non-verbal behaviour. Conclusions Whether or not prior treatment wishes of patients in a VS are respected depends on their applicability, and also on the medical assumptions and moral attitudes of the surrogates. We recommend repeated communication, support for the caregivers and advance care planning. PMID:22375077

Barriers to and facilitators of implementing shared decision making and decision support in a paediatric hospital: A descriptive study.

PubMed

Boland, Laura; McIsaac, Daniel I; Lawson, Margaret L

2016-04-01

To explore multiple stakeholders' perceived barriers to and facilitators of implementing shared decision making and decision support in a tertiary paediatric hospital. An interpretive descriptive qualitative study was conducted using focus groups and interviews to examine senior hospital administrators', clinicians', parents' and youths' perceived barriers to and facilitators of shared decision making and decision support implementation. Data were analyzed using inductive thematic analysis. Fifty-seven stakeholders participated. Six barrier and facilitator themes emerged. The main barrier was gaps in stakeholders' knowledge of shared decision making and decision support. Facilitators included compatibility between shared decision making and the hospital's culture and ideal practices, perceptions of positive patient and family outcomes associated with shared decision making, and positive attitudes regarding shared decision making and decision support. However, youth attitudes regarding the necessity and usefulness of a decision support program were a barrier. Two themes were both a barrier and a facilitator. First, stakeholder groups were uncertain which clinical situations are suitable for shared decision making (eg, new diagnoses, chronic illnesses, complex decisions or urgent decisions). Second, the clinical process may be hindered if shared decision making and decision support decrease efficiency and workflow; however, shared decision making may reduce repeat visits and save time over the long term. Specific knowledge translation strategies that improve shared decision making knowledge and match specific barriers identified by each stakeholder group may be required to promote successful shared decision making and decision support implementation in the authors' paediatric hospital.

The decision neuroscience perspective on suicidal behavior: evidence and hypotheses

PubMed Central

Dombrovski, Alexandre Y.; Hallquist, Michael N.

2017-01-01

Purpose of review Suicide attempts are usually regretted by people who survive them. Furthermore, addiction and gambling are over-represented among people who attempt or die by suicide, raising the question whether their decision-making is impaired. Advances in decision neuroscience have enabled us to investigate decision processes in suicidal people and to elucidate putative neural substrates of disadvantageous decision-making. Recent findings Early studies have linked attempted suicide to poor performance on gambling tasks. More recently, functional MRI augmented with a reinforcement learning computational model revealed that impaired decision-making in suicide attempters is paralleled by disrupted expected value (expected reward) signals in the ventromedial prefrontal cortex. Behavioral studies have linked increased delay discounting to low-lethality/poorly planned attempts, multiple attempts, and the co-occurrence of attempted suicide and addiction. This behavioral tendency may be related to altered integrity of the basal ganglia. By contrast, well-planned, serious suicide attempts were associated with intact/diminished delay discounting. One study has linked high-lethality suicide attempts and impaired social decision-making. Summary This emerging literature supports the notion that various impairments in decision-making – often broadly related to impulsivity – may mark different pathways to suicide. We propose that aggressive and self-destructive responses to social stressors in people prone to suicide result from a predominance of automatic, Pavlovian processes over goal-directed computations. PMID:27875379

Regret about surgical decisions among early-stage breast cancer patients: Effects of the congruence between patients' preferred and actual decision-making roles.

PubMed

Wang, Ashley Wei-Ting; Chang, Su-Mei; Chang, Cheng-Shyong; Chen, Shou-Tung; Chen, Dar-Ren; Fan, Fang; Antoni, Michael H; Hsu, Wen-Yau

2018-02-01

Early-stage breast cancer patients generally receive either a mastectomy or a lumpectomy, either by their own choice or that of their surgeon. Sometimes, there is regret about the decision afterward. To better understand regret about surgical decisions, this study examined 2 possibilities: The first is that women who take a dominant or collaborative role in decision making about the surgery express less regret afterward. The second is that congruence between preferred role and actual role predicts less regret. We also explored whether disease stage moderates the relationship between role congruence and decisional regret. In a cross-sectional design, 154 women diagnosed with breast cancer completed a survey assessing decisional role preference and actual decisional role, a measure of post-decision regret, and a measure of disturbances related to breast cancer treatment. Hierarchical regression was used to investigate prediction of decisional regret. Role congruence, not actual decisional role, was significantly associated with less decisional regret, independent of all the control variables. The interaction between disease stage and role congruence was also significant, showing that mismatch relates to regret only in women with more advanced disease. Our findings suggest that cancer patients could benefit from tailored decision support concerning their decisional role preferences in the complex scenario of medical and personal factors during the surgical decision. Copyright © 2017 John Wiley & Sons, Ltd.

Performance evaluation of the machine learning algorithms used in inference mechanism of a medical decision support system.

PubMed

Bal, Mert; Amasyali, M Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse

2014-01-01

The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets.

Advanced building energy management system demonstration for Department of Defense buildings.

PubMed

O'Neill, Zheng; Bailey, Trevor; Dong, Bing; Shashanka, Madhusudana; Luo, Dong

2013-08-01

This paper presents an advanced building energy management system (aBEMS) that employs advanced methods of whole-building performance monitoring combined with statistical methods of learning and data analysis to enable identification of both gradual and discrete performance erosion and faults. This system assimilated data collected from multiple sources, including blueprints, reduced-order models (ROM) and measurements, and employed advanced statistical learning algorithms to identify patterns of anomalies. The results were presented graphically in a manner understandable to facilities managers. A demonstration of aBEMS was conducted in buildings at Naval Station Great Lakes. The facility building management systems were extended to incorporate the energy diagnostics and analysis algorithms, producing systematic identification of more efficient operation strategies. At Naval Station Great Lakes, greater than 20% savings were demonstrated for building energy consumption by improving facility manager decision support to diagnose energy faults and prioritize alternative, energy-efficient operation strategies. The paper concludes with recommendations for widespread aBEMS success. © 2013 New York Academy of Sciences.

Imaging in the evaluation and follow-up of early and advanced breast cancer: When, why, and how often?

PubMed

Bychkovsky, Brittany L; Lin, Nancy U

2017-02-01

Imaging in the evaluation and follow-up of patients with early or advanced breast cancer is an important aspect of cancer care. The role of imaging in breast cancer depends on the goal and should only be performed to guide clinical decisions. Imaging is valuable if a finding will change the course of treatment and improve outcomes, whether this is disease-free survival, overall survival or quality-of-life. In the last decade, imaging is often overused in oncology and contributes to rising healthcare costs. In this context, we review the data that supports the appropriate use of imaging for breast cancer patients. We will discuss: 1) the optimal use of staging imaging in both early (Stage 0-II) and locally advanced (Stage III) breast cancer, 2) the role of surveillance imaging to detect recurrent disease in Stage 0-III breast cancer and 3) how patients with metastatic breast cancer should be followed with advanced imaging. Copyright © 2016 Elsevier Ltd. All rights reserved.

Supporting Muslim Patients During Advanced Illness

PubMed Central

Boucher, Nathan A; Siddiqui, Ejaz A; Koenig, Harold G

2017-01-01

Religion is an important part of many patients’ cultural perspectives and value systems that influence them during advanced illness and toward the end of life when they directly face mortality. Worldwide violence perpetrated by people identifying as Muslim has been a growing fear for people living in the US and elsewhere. This fear has further increased by the tense rhetoric heard from the recent US presidential campaign and the new presidential administration. For many, this includes fear of all Muslims, the second-largest religious group in the world with 1.6 billion adherents and approximately 3.5 million in the US alone. Patient-centered care requires health professionals to look past news headlines and unchecked social media so they can deliver high-quality care to all patients. This article explores areas of importance in the context of advanced illness for practitioners of Islam. These include the conditions needed for prayer, the roles of medical treatment and religious authority, the importance of modesty, the religious concordance of clinicians, the role of family in medical decision making, advance care planning, and pain and symptom management. Initial recommendations to optimize care for Muslim patients and their families, informed by the described tenets of Muslim faith, are provided for clinicians and health systems administrators. These include Islamic cultural awareness training for staff, assessment of patients and families to determine needs, health education and decision-making outreach, and community health partnerships with local Islamic institutions. PMID:28609264

Gatekeepers for Pragmatic Clinical Trials

PubMed Central

Whicher, Danielle M.; Miller, Jennifer E.; Dunham, Kelly M.; Joffe, Steven

2015-01-01

To successfully implement a pragmatic clinical trial, investigators need access to numerous resources, including financial support, institutional infrastructure (e.g., clinics, facilities, staff), eligible patients, and patient data. Gatekeepers are people or entities who have the ability to allow or deny access to the resources required to support the conduct of clinical research. Based on this definition, gatekeepers relevant to the United States clinical research enterprise include research sponsors, regulatory agencies, payers, health system and other organizational leadership, research team leadership, human research protections programs, advocacy and community groups, and clinicians. This manuscript provides a framework to help guide gatekeepers’ decision-making related to the use of resources for pragmatic clinical trials. These include (1) concern for the interests of individuals, groups, and communities affected by the gatekeepers’ decisions, including protection from harm and maximization of benefits, (2) advancement of organizational mission and values, and (3) stewardship of financial, human, and other organizational resources. Separate from these ethical considerations, gatekeepers’ actions will be guided by relevant federal, state, and local regulations. This framework also suggests that to further enhance the legitimacy of their decision-making, gatekeepers should adopt transparent processes that engage relevant stakeholders when feasible and appropriate. We apply this framework to the set of gatekeepers responsible for making decisions about resources necessary for pragmatic clinical trials in the United States, describing the relevance of the criteria in different situations and pointing out where conflicts among the criteria and relevant regulations may affect decision-making. Recognition of the complex set of considerations that should inform decision-making will guide gatekeepers in making justifiable choices regarding the use of limited and valuable resources. PMID:26374683

The Climate-Agriculture-Modeling and Decision Tool (CAMDT) for Climate Risk Management in Agriculture

NASA Astrophysics Data System (ADS)

Ines, A. V. M.; Han, E.; Baethgen, W.

2017-12-01

Advances in seasonal climate forecasts (SCFs) during the past decades have brought great potential to improve agricultural climate risk managements associated with inter-annual climate variability. In spite of popular uses of crop simulation models in addressing climate risk problems, the models cannot readily take seasonal climate predictions issued in the format of tercile probabilities of most likely rainfall categories (i.e, below-, near- and above-normal). When a skillful SCF is linked with the crop simulation models, the informative climate information can be further translated into actionable agronomic terms and thus better support strategic and tactical decisions. In other words, crop modeling connected with a given SCF allows to simulate "what-if" scenarios with different crop choices or management practices and better inform the decision makers. In this paper, we present a decision support tool, called CAMDT (Climate Agriculture Modeling and Decision Tool), which seamlessly integrates probabilistic SCFs to DSSAT-CSM-Rice model to guide decision-makers in adopting appropriate crop and agricultural water management practices for given climatic conditions. The CAMDT has a functionality to disaggregate a probabilistic SCF into daily weather realizations (either a parametric or non-parametric disaggregation method) and to run DSSAT-CSM-Rice with the disaggregated weather realizations. The convenient graphical user-interface allows easy implementation of several "what-if" scenarios for non-technical users and visualize the results of the scenario runs. In addition, the CAMDT also translates crop model outputs to economic terms once the user provides expected crop price and cost. The CAMDT is a practical tool for real-world applications, specifically for agricultural climate risk management in the Bicol region, Philippines, having a great flexibility for being adapted to other crops or regions in the world. CAMDT GitHub: https://github.com/Agro-Climate/CAMDT

Correlates of healthcare and financial decision making among older adults without dementia.

PubMed

Stewart, Christopher C; Yu, Lei; Wilson, Robert S; Bennett, David A; Boyle, Patricia A

2018-03-22

Healthcare and financial decision making among older persons has been previously associated with cognition, health and financial literacy, and risk aversion; however, the manner by which these resources support decision making remains unclear, as past studies have not systematically investigated the pathways linking these resources with decision making. In the current study, we use path analysis to examine the direct and indirect pathways linking age, education, cognition, literacy, and risk aversion with decision making. We also decomposed literacy into its subcomponents, conceptual knowledge and numeracy, in order to examine their associations with decision making. Participants were 937 community-based older adults without dementia from the Rush Memory and Aging Project who completed a battery of cognitive tests and assessments of healthcare and financial decision making, health and financial literacy, and risk aversion. Age and education exerted effects on decision making, but nearly two thirds of their effects were indirect, working mostly through cognition and literacy. Cognition exerted a strong direct effect on decision making and a robust indirect effect working primarily through literacy. Literacy also exerted a powerful direct effect on decision making, as did its subcomponents, conceptual knowledge and numeracy. The direct effect of risk aversion was comparatively weak. In addition to cognition, health and financial literacy emerged as independent and primary correlates of healthcare and financial decision making. These findings suggest specific actions that might be taken to optimize healthcare and financial decision making and, by extension, improve health and well-being in advanced age. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Shared decision-making in end-stage renal disease: a protocol for a multi-center study of a communication intervention to improve end-of-life care for dialysis patients.

PubMed

Eneanya, Nwamaka D; Goff, Sarah L; Martinez, Talaya; Gutierrez, Natalie; Klingensmith, Jamie; Griffith, John L; Garvey, Casey; Kitsen, Jenny; Germain, Michael J; Marr, Lisa; Berzoff, Joan; Unruh, Mark; Cohen, Lewis M

2015-06-12

End-stage renal disease carries a prognosis similar to cancer yet only 20 % of end-stage renal disease patients are referred to hospice. Furthermore, conversations between dialysis team members and patients about end-of-life planning are uncommon. Lack of provider training about how to communicate prognostic data may contribute to the limited number of end-of-life care discussions that take place with this chronically ill population. In this study, we will test the Shared Decision-Making Renal Supportive Care communication intervention to systematically elicit patient and caretaker preferences for end-of-life care so that care concordant with patients' goals can be provided. This multi-center study will deploy an intervention to improve end-of-life communication for hemodialysis patients who are at high risk of death in the ensuing six months. The intervention will be carried out as a prospective cohort with a retrospective cohort serving as the comparison group. Patients will be recruited from 16 dialysis units associated with two large academic centers in Springfield, Massachusetts and Albuquerque, New Mexico. Critical input from patient advisory boards, a stakeholder panel, and initial qualitative analysis of patient and caretaker experiences with advance care planning have informed the communication intervention. Rigorous communication training for hemodialysis social workers and providers will ensure that standardized study procedures are performed at each dialysis unit. Nephrologists and social workers will communicate prognosis and provide advance care planning in face-to-face encounters with patients and families using a social work-centered algorithm. Study outcomes including frequency and timing of hospice referrals, patient and caretaker satisfaction, quality of end-of-life discussions, and quality of death will be assessed over an 18 month period. The Shared Decision-Making Renal Supportive Care Communication intervention intends to improve discussions about prognosis and end-of-life care with end-stage renal disease patients. We anticipate that the intervention will help guide hemodialysis staff and providers to effectively participate in advance care planning for patients and caretakers to establish preferences and goals at the end of life. NCT02405312.

Operator decision support system for integrated wastewater management including wastewater treatment plants and receiving water bodies.

PubMed

Kim, Minsoo; Kim, Yejin; Kim, Hyosoo; Piao, Wenhua; Kim, Changwon

2016-06-01

An operator decision support system (ODSS) is proposed to support operators of wastewater treatment plants (WWTPs) in making appropriate decisions. This system accounts for water quality (WQ) variations in WWTP influent and effluent and in the receiving water body (RWB). The proposed system is comprised of two diagnosis modules, three prediction modules, and a scenario-based supporting module (SSM). In the diagnosis modules, the WQs of the influent and effluent WWTP and of the RWB are assessed via multivariate analysis. Three prediction modules based on the k-nearest neighbors (k-NN) method, activated sludge model no. 2d (ASM2d) model, and QUAL2E model are used to forecast WQs for 3 days in advance. To compare various operating alternatives, SSM is applied to test various predetermined operating conditions in terms of overall oxygen transfer coefficient (Kla), waste sludge flow rate (Qw), return sludge flow rate (Qr), and internal recycle flow rate (Qir). In the case of unacceptable total phosphorus (TP), SSM provides appropriate information for the chemical treatment. The constructed ODSS was tested using data collected from Geumho River, which was the RWB, and S WWTP in Daegu City, South Korea. The results demonstrate the capability of the proposed ODSS to provide WWTP operators with more objective qualitative and quantitative assessments of WWTP and RWB WQs. Moreover, the current study shows that ODSS, using data collected from the study area, can be used to identify operational alternatives through SSM at an integrated urban wastewater management level.

TethysCluster: A comprehensive approach for harnessing cloud resources for hydrologic modeling

NASA Astrophysics Data System (ADS)

Nelson, J.; Jones, N.; Ames, D. P.

2015-12-01

Advances in water resources modeling are improving the information that can be supplied to support decisions affecting the safety and sustainability of society. However, as water resources models become more sophisticated and data-intensive they require more computational power to run. Purchasing and maintaining the computing facilities needed to support certain modeling tasks has been cost-prohibitive for many organizations. With the advent of the cloud, the computing resources needed to address this challenge are now available and cost-effective, yet there still remains a significant technical barrier to leverage these resources. This barrier inhibits many decision makers and even trained engineers from taking advantage of the best science and tools available. Here we present the Python tools TethysCluster and CondorPy, that have been developed to lower the barrier to model computation in the cloud by providing (1) programmatic access to dynamically scalable computing resources, (2) a batch scheduling system to queue and dispatch the jobs to the computing resources, (3) data management for job inputs and outputs, and (4) the ability to dynamically create, submit, and monitor computing jobs. These Python tools leverage the open source, computing-resource management, and job management software, HTCondor, to offer a flexible and scalable distributed-computing environment. While TethysCluster and CondorPy can be used independently to provision computing resources and perform large modeling tasks, they have also been integrated into Tethys Platform, a development platform for water resources web apps, to enable computing support for modeling workflows and decision-support systems deployed as web apps.

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.

The Impact of Shared Decision-making Interventions on Prostate Cancer Treatment Decision-making

Cancer.gov

Angie Fagerlin, PhD, is a Professor and Chair in the Department of Population Health Sciences at the University of Utah and a Research Scientist at the Salt Lake City VA. She is the current President of the Society of Medical Decision Making. Dr. Fagerlin’s training is in experimental psychology, primarily in the areas of cognitive and social psychology.  Her research focuses on testing methods for communicating medical data to patients and providers (e.g., the risks and benefits of cancer treatment) and the development and testing of decision support interventions.  Her recent work is testing the impact of patient decision aids on patient-physician communication.  Additionally, she is testing multiple methods for communicating about genetic testing and infectious diseases (e.g., the Zika virus, Ebola, influenza).  Her research has been funded by NCI, NIH, VA, PCORI, and the European Union. If you are a person with a disability and require an assistive device, services or other reasonable accommodations to participate in this activity, please contact the Cancer Prevention Fellowship Program at (240) 276-5626 at least one week in advance of the lecture date to discuss your accommodation needs.

Evidence synthesis for decision making 7: a reviewer's checklist.

PubMed

Ades, A E; Caldwell, Deborah M; Reken, Stefanie; Welton, Nicky J; Sutton, Alex J; Dias, Sofia

2013-07-01

This checklist is for the review of evidence syntheses for treatment efficacy used in decision making based on either efficacy or cost-effectiveness. It is intended to be used for pairwise meta-analysis, indirect comparisons, and network meta-analysis, without distinction. It does not generate a quality rating and is not prescriptive. Instead, it focuses on a series of questions aimed at revealing the assumptions that the authors of the synthesis are expecting readers to accept, the adequacy of the arguments authors advance in support of their position, and the need for further analyses or sensitivity analyses. The checklist is intended primarily for those who review evidence syntheses, including indirect comparisons and network meta-analyses, in the context of decision making but will also be of value to those submitting syntheses for review, whether to decision-making bodies or journals. The checklist has 4 main headings: A) definition of the decision problem, B) methods of analysis and presentation of results, C) issues specific to network synthesis, and D) embedding the synthesis in a probabilistic cost-effectiveness model. The headings and implicit advice follow directly from the other tutorials in this series. A simple table is provided that could serve as a pro forma checklist.

Addressing Risk Assessment for Patient Safety in Hospitals through Information Extraction in Medical Reports

NASA Astrophysics Data System (ADS)

Proux, Denys; Segond, Frédérique; Gerbier, Solweig; Metzger, Marie Hélène

Hospital Acquired Infections (HAI) is a real burden for doctors and risk surveillance experts. The impact on patients' health and related healthcare cost is very significant and a major concern even for rich countries. Furthermore required data to evaluate the threat is generally not available to experts and that prevents from fast reaction. However, recent advances in Computational Intelligence Techniques such as Information Extraction, Risk Patterns Detection in documents and Decision Support Systems allow now to address this problem.

Distributed Tactical Decision Support by Using Real-Time Database System

DTIC Science & Technology

1987-11-01

appendix A and detailed in depth in the Advanced Combat Direction System Specification (reference 5). The assumption is that ’ ime 0 (TO) of any contact...CONSTELLATION LAUNCH I F14A CAPM 330 350 10000 STOP At simulated engagement minute 30. the following orders are next submitted to the event generator...time of contact (ETC). There is the assumption in the ETC calculation that COURSE will change such that the new report would be on a dead- reckoning

CRP Henri Tudor at TREC 2014: Combining Search Results for Clinical Decision Support

DTIC Science & Technology

2014-11-01

their pairwise semantic similarity. Acknowledgments This work has been done in the context of the GECAMed2 R&D project (“ Gestion de Cabinets Médicaux...AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) CR SANTEC, Public Research...NIST) and the Defense Advanced Research Projects Agency (DARPA). 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF

An Integrated Tool Suite for En Route Radar Controllers in NextGen

NASA Technical Reports Server (NTRS)

Mercer, Joey; Prevot, Thomas; Brasil, Connie; Mainini, Matthew; Kupfer, Michael; Smtih, Nancy

2010-01-01

This paper describes recent human-in-the-loop research in the Airspace Operations Laboratory at the NASA Ames Research Center focusing on en route air traffic management with advanced trajectory planning tools and increased levels of human-automation cooperation. The decision support tools were exercised in a simulation of seven contiguous high-altitude sectors. Preliminary data suggests the controllers were able to manage higher amounts of traffic as compared to today, while maintaining acceptable levels of workload.

Gating the holes in the Swiss cheese (part I): Expanding professor Reason's model for patient safety.

PubMed

Seshia, Shashi S; Bryan Young, G; Makhinson, Michael; Smith, Preston A; Stobart, Kent; Croskerry, Pat

2018-02-01

Although patient safety has improved steadily, harm remains a substantial global challenge. Additionally, safety needs to be ensured not only in hospitals but also across the continuum of care. Better understanding of the complex cognitive factors influencing health care-related decisions and organizational cultures could lead to more rational approaches, and thereby to further improvement. A model integrating the concepts underlying Reason's Swiss cheese theory and the cognitive-affective biases plus cascade could advance the understanding of cognitive-affective processes that underlie decisions and organizational cultures across the continuum of care. Thematic analysis, qualitative information from several sources being used to support argumentation. Complex covert cognitive phenomena underlie decisions influencing health care. In the integrated model, the Swiss cheese slices represent dynamic cognitive-affective (mental) gates: Reason's successive layers of defence. Like firewalls and antivirus programs, cognitive-affective gates normally allow the passage of rational decisions but block or counter unsounds ones. Gates can be breached (ie, holes created) at one or more levels of organizations, teams, and individuals, by (1) any element of cognitive-affective biases plus (conflicts of interest and cognitive biases being the best studied) and (2) other potential error-provoking factors. Conversely, flawed decisions can be blocked and consequences minimized; for example, by addressing cognitive biases plus and error-provoking factors, and being constantly mindful. Informed shared decision making is a neglected but critical layer of defence (cognitive-affective gate). The integrated model can be custom tailored to specific situations, and the underlying principles applied to all methods for improving safety. The model may also provide a framework for developing and evaluating strategies to optimize organizational cultures and decisions. The concept is abstract, the model is virtual, and the best supportive evidence is qualitative and indirect. The proposed model may help enhance rational decision making across the continuum of care, thereby improving patient safety globally. © 2017 The Authors. Journal of Evaluation in Clinical Practice published by John Wiley & Sons, Ltd.

Gating the holes in the Swiss cheese (part I): Expanding professor Reason's model for patient safety

PubMed Central

Bryan Young, G.; Makhinson, Michael; Smith, Preston A.; Stobart, Kent; Croskerry, Pat

2017-01-01

Abstract Introduction Although patient safety has improved steadily, harm remains a substantial global challenge. Additionally, safety needs to be ensured not only in hospitals but also across the continuum of care. Better understanding of the complex cognitive factors influencing health care–related decisions and organizational cultures could lead to more rational approaches, and thereby to further improvement. Hypothesis A model integrating the concepts underlying Reason's Swiss cheese theory and the cognitive‐affective biases plus cascade could advance the understanding of cognitive‐affective processes that underlie decisions and organizational cultures across the continuum of care. Methods Thematic analysis, qualitative information from several sources being used to support argumentation. Discussion Complex covert cognitive phenomena underlie decisions influencing health care. In the integrated model, the Swiss cheese slices represent dynamic cognitive‐affective (mental) gates: Reason's successive layers of defence. Like firewalls and antivirus programs, cognitive‐affective gates normally allow the passage of rational decisions but block or counter unsounds ones. Gates can be breached (ie, holes created) at one or more levels of organizations, teams, and individuals, by (1) any element of cognitive‐affective biases plus (conflicts of interest and cognitive biases being the best studied) and (2) other potential error‐provoking factors. Conversely, flawed decisions can be blocked and consequences minimized; for example, by addressing cognitive biases plus and error‐provoking factors, and being constantly mindful. Informed shared decision making is a neglected but critical layer of defence (cognitive‐affective gate). The integrated model can be custom tailored to specific situations, and the underlying principles applied to all methods for improving safety. The model may also provide a framework for developing and evaluating strategies to optimize organizational cultures and decisions. Limitations The concept is abstract, the model is virtual, and the best supportive evidence is qualitative and indirect. Conclusions The proposed model may help enhance rational decision making across the continuum of care, thereby improving patient safety globally. PMID:29168290

Barriers to and facilitators of implementing shared decision making and decision support in a paediatric hospital: A descriptive study

PubMed Central

Boland, Laura; McIsaac, Daniel I; Lawson, Margaret L

2016-01-01

OBJECTIVE: To explore multiple stakeholders’ perceived barriers to and facilitators of implementing shared decision making and decision support in a tertiary paediatric hospital. METHODS: An interpretive descriptive qualitative study was conducted using focus groups and interviews to examine senior hospital administrators’, clinicians’, parents’ and youths’ perceived barriers to and facilitators of shared decision making and decision support implementation. Data were analyzed using inductive thematic analysis. RESULTS: Fifty-seven stakeholders participated. Six barrier and facilitator themes emerged. The main barrier was gaps in stakeholders’ knowledge of shared decision making and decision support. Facilitators included compatibility between shared decision making and the hospital’s culture and ideal practices, perceptions of positive patient and family outcomes associated with shared decision making, and positive attitudes regarding shared decision making and decision support. However, youth attitudes regarding the necessity and usefulness of a decision support program were a barrier. Two themes were both a barrier and a facilitator. First, stakeholder groups were uncertain which clinical situations are suitable for shared decision making (eg, new diagnoses, chronic illnesses, complex decisions or urgent decisions). Second, the clinical process may be hindered if shared decision making and decision support decrease efficiency and workflow; however, shared decision making may reduce repeat visits and save time over the long term. CONCLUSIONS: Specific knowledge translation strategies that improve shared decision making knowledge and match specific barriers identified by each stakeholder group may be required to promote successful shared decision making and decision support implementation in the authors’ paediatric hospital. PMID:27398058

The good, the bad, and the hungry: how the central brain codes odor valence to facilitate food approach in Drosophila.

PubMed

Sachse, Silke; Beshel, Jennifer

2016-10-01

All animals must eat in order to survive but first they must successfully locate and appraise food resources in a manner consonant with their needs. To accomplish this, external sensory information, in particular olfactory food cues, need to be detected and appropriately categorized. Recent advances in Drosophila point to the existence of parallel processing circuits within the central brain that encode odor valence, supporting approach and avoidance behaviors. Strikingly, many elements within these neural systems are subject to modification as a function of the fly's satiety state. In this review we describe those advances and their potential impact on the decision to feed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Parenting challenges in the setting of terminal illness: a family-focused perspective.

PubMed

Zaider, Talia I; Salley, Christina G; Terry, Rachel; Davidovits, Michael

2015-03-01

In the advanced stages of illness, families with dependent children experience disruption across all dimensions of family life. The need for family support during palliative care is well recognized, yet little is understood about how parents and their children navigate these difficult circumstances. This review summarizes the current body of research on parenting challenges in advanced cancer. To date, the study of parental cancer has focused predominantly on the early stages of disease and its impact on children and adolescents. Less is known about how families with minor children prepare for parental loss. Evidence suggests that having dependent children influences parents' treatment decisions at the end of life, and that a central concern for children and parents is optimizing time spent together. Parents may feel an urgency to engage in accelerated parenting, and maintaining normalcy remains a consistent theme for the ill and healthy parent alike. There is a growing evidence base affirming the importance of responsive communication prior to death. Advancing knowledge about the parenting experience at the end of life is critical for ensuring effective support to the entire family, as it accommodates and prepares for the loss of a vital member.

Application of a web-based Decision Support System in risk management

NASA Astrophysics Data System (ADS)

Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri

2013-04-01

Increasingly, risk information is widely available with the help of advanced technologies such as earth observation satellites, global positioning technologies, coupled with hazard modeling and analysis, and geographical information systems (GIS). Even though it exists, no effort will be put into action if it is not properly presented to the decision makers. These information need to be communicated clearly and show its usefulness so that people can make better informed decision. Therefore, communicating available risk information has become an important challenge and decision support systems have been one of the significant approaches which can help not only in presenting risk information to the decision makers but also in making efficient decisions while reducing human resources and time needed. In this study, the conceptual framework of an internet-based decision support system is presented to highlight its importance role in risk management framework and how it can be applied in case study areas chosen. The main purpose of the proposed system is to facilitate the available risk information in risk reduction by taking into account of the changes in climate, land use and socio-economic along with the risk scenarios. It allows the users to formulate, compare and select risk reduction scenarios (mainly for floods and landslides) through an enhanced participatory platform with diverse stakeholders' involvement in the decision making process. It is based on the three-tier (client-server) architecture which integrates web-GIS plus DSS functionalities together with cost benefit analysis and other supporting tools. Embedding web-GIS provides its end users to make better planning and informed decisions referenced to a geographical location, which is the one of the essential factors in disaster risk reduction programs. Different risk reduction measures of a specific area (local scale) will be evaluated using this web-GIS tool, available risk scenarios obtained from Probabilistic Risk Assessment (PRA) model and the knowledge collected from experts. The visualization of the risk reduction scenarios can also be shared among the users on the web to support the on-line participatory process. In addition, cost-benefit ratios of the different risk reduction scenarios can be prepared in order to serve as inputs for high-level decision makers. The most appropriate risk reduction scenarios will be chosen using Multi-Criteria Evaluation (MCE) method by weighting different parameters according to the preferences and criteria defined by the users. The role of public participation has been changing from one-way communication between authorities, experts, stakeholders and citizens towards more intensive two-way interaction. Involving the affected public and interest groups can enhance the level of legitimacy, transparency, and confidence in the decision making process. Due to its important part in decision making, online participatory tool is included in the DSS in order to allow the involved stakeholders interactively in risk reduction and be aware of the existing vulnerability conditions of the community. Moreover, it aims to achieve a more transparent and better informed decision-making process. The system is under in progress and the first tools implemented will be presented showing the wide possibilities of new web technologies which can have a great impact on the decision making process. It will be applied in four pilot areas in Europe: French Alps, North Eastern Italy, Romania and Poland. Nevertheless, the framework will be designed and implemented in a way to be applicable in any other regions.

Science and Decisions: Advancing Risk Assessment (NAS Final Report)

EPA Science Inventory

In August 2009, the Committee on Improving Risk Analysis Approaches Used by the U.S. EPA, National Research Council released a final report, requested and sponsored by the EPA, entitled Science and Decisions: Advancing Risk Assessment 2009.

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

Advanced decision aiding techniques applicable to space

NASA Technical Reports Server (NTRS)

Kruchten, Robert J.

1987-01-01

RADC has had an intensive program to show the feasibility of applying advanced technology to Air Force decision aiding situations. Some aspects of the program, such as Satellite Autonomy, are directly applicable to space systems. For example, RADC has shown the feasibility of decision aids that combine the advantages of laser disks and computer generated graphics; decision aids that interface object-oriented programs with expert systems; decision aids that solve path optimization problems; etc. Some of the key techniques that could be used in space applications are reviewed. Current applications are reviewed along with their advantages and disadvantages, and examples are given of possible space applications. The emphasis is to share RADC experience in decision aiding techniques.

Impact of advanced monitoring variables on intraoperative clinical decision-making: an international survey.

PubMed

Joosten, Alexandre; Desebbe, Olivier; Suehiro, Koichi; Essiet, Mfonobong; Alexander, Brenton; Ricks, Cameron; Rinehart, Joseph; Faraoni, David; Cecconi, Maurizio; Van der Linden, Philippe; Cannesson, Maxime

2017-02-01

To assess the relationship between the addition of advanced monitoring variables and changes in clinical decision-making. A 15-questions survey was anonymously emailed to international experts and physician members of five anesthesia societies which focused on assessing treatment decisions of clinicians during three realistic clinical scenarios measured at two distinct time points. The first is when typical case information and basic monitoring (T1) were provided, and then once again after the addition of advanced monitoring variables (T2). We hypothesized that the addition of advanced variables would increase the incidence of an optimal therapeutic decision (a priori defined as the answer with the highest percentage of expert agreement) and decrease the variability among the physician's suggested treatments. The survey was completed by 18 experts and 839 physicians. Overall, adding advanced monitoring did not significantly increase physician response accuracy, with the least substantial changes noted on questions related to volume expansion or vasopressor administration. Moreover, advanced monitoring data did not significantly decrease the high level of initial practice variability in physician suggested treatments (P = 0.13), in contrast to the low variability observed within the expert group (P = 0.039). Additionally, 5-10 years of practice (P < 0.0001) and a cardiovascular subspecialty (P = 0.048) were both physician characteristics associated with a higher rate of optimal therapeutic decisions. The addition of advanced variables was of limited benefit for most physicians, further indicating the need for more in depth education on the clinical value and technical understanding of such variables.

Electronic decision support for diagnostic imaging in a primary care setting

PubMed Central

Reed, Martin H

2011-01-01

Methods Clinical guideline adherence for diagnostic imaging (DI) and acceptance of electronic decision support in a rural community family practice clinic was assessed over 36 weeks. Physicians wrote 904 DI orders, 58% of which were addressed by the Canadian Association of Radiologists guidelines. Results Of those orders with guidelines, 76% were ordered correctly; 24% were inappropriate or unnecessary resulting in a prompt from clinical decision support. Physicians followed suggestions from decision support to improve their DI order on 25% of the initially inappropriate orders. The use of decision support was not mandatory, and there were significant variations in use rate. Initially, 40% reported decision support disruptive in their work flow, which dropped to 16% as physicians gained experience with the software. Conclusions Physicians supported the concept of clinical decision support but were reluctant to change clinical habits to incorporate decision support into routine work flow. PMID:21486884

Fuzzy risk explicit interval linear programming model for end-of-life vehicle recycling planning in the EU.

PubMed

Simic, Vladimir

2015-01-01

End-of-life vehicles (ELVs) are vehicles that have reached the end of their useful lives and are no longer registered or licensed for use. The ELV recycling problem has become very serious in the last decade and more and more efforts are made in order to reduce the impact of ELVs on the environment. This paper proposes the fuzzy risk explicit interval linear programming model for ELV recycling planning in the EU. It has advantages in reflecting uncertainties presented in terms of intervals in the ELV recycling systems and fuzziness in decision makers' preferences. The formulated model has been applied to a numerical study in which different decision maker types and several ELV types under two EU ELV Directive legislative cases were examined. This study is conducted in order to examine the influences of the decision maker type, the α-cut level, the EU ELV Directive and the ELV type on decisions about vehicle hulks procuring, storing unprocessed hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Decision maker type can influence quantity of vehicle hulks kept in storages. The EU ELV Directive and decision maker type have no influence on which vehicle hulk type is kept in the storage. Vehicle hulk type, the EU ELV Directive and decision maker type do not influence the creation of metal allocation plans, since each isolated metal has its regular destination. The valid EU ELV Directive eco-efficiency quotas can be reached even when advanced thermal treatment plants are excluded from the ELV recycling process. The introduction of the stringent eco-efficiency quotas will significantly reduce the quantities of land-filled waste fractions regardless of the type of decision makers who will manage vehicle recycling system. In order to reach these stringent quotas, significant quantities of sorted waste need to be processed in advanced thermal treatment plants. Proposed model can serve as the support for the European vehicle recycling managers in creating more successful ELV recycling plans. Copyright © 2014 Elsevier Ltd. All rights reserved.

Decision support at home (DS@HOME) – system architectures and requirements

PubMed Central

2012-01-01

Background Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision support systems (DSS) for the interpretation of data generated in home environments. The aim of the research for this paper is to present the state-of-the-art in DSS for these data, to define characteristic properties of such systems, and to define the requirements for successful home care DSS implementations. Methods A literature review was performed along with the analysis of cross-references. Characteristic properties are proposed and requirements are derived from the available body of literature. Results 79 papers were identified and analyzed, of which 20 describe implementations of decision components. Most authors mention server-based decision support components, but only few papers provide details about the system architecture or the knowledge base. A list of requirements derived from the analysis is presented. Among the primary drawbacks of current systems are the missing integration of DSS in current health information system architectures including interfaces, the missing agreement among developers with regard to the formalization and customization of medical knowledge and a lack of intelligent algorithms to interpret data from multiple sources including clinical application systems. Conclusions Future research needs to address these issues in order to provide useful information – and not only large amounts of data – for both the patient and the caregiver. Furthermore, there is a need for outcome studies allowing for identifying successful implementation concepts. PMID:22640470

Supporting end of life decision making: Case studies of relational closeness in supported decision making for people with severe or profound intellectual disability.

PubMed

Watson, Joanne; Wilson, Erin; Hagiliassis, Nick

2017-11-01

The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) promotes the use of supported decision making in lieu of substitute decision making. To date, there has been a lack of focus on supported decision making for people with severe or profound intellectual disability, including for end of life decisions. Five people with severe or profound intellectual disability's experiences of supported decision making were examined. This article is particularly focused on one participant's experiences at the end of his life. All five case studies identified that supporters were most effective in providing decision-making support for participants when they were relationally close to the person and had knowledge of the person's life story, particularly in relation to events that demonstrated preference. Findings from this study provide new understandings of supported decision making for people with severe or profound intellectual disability and have particular relevance for supporting decision making at the end of life. © 2017 John Wiley & Sons Ltd.

NASA Ice, Cloud and land Elevation Satellite-2 Applications - Advancing Dialogue for More Effective Decisions and Societal benefits

NASA Astrophysics Data System (ADS)

Delgado Arias, S.; Brown, M. E.; Escobar, V. M.; Jasinski, M. F.; Neumann, T.

2016-12-01

Since 2012, the NASA Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) Applications Program has worked to understand how future mission observations can be effectively used to inform operational sea ice forecasting for Arctic shipping, global flood risk monitoring, fire fuel mapping, and other applications. The ICESat-2 Applications Program has implemented various engagement and outreach activities, as well as an Early Adopter program, to facilitate dialogue between potential users, project scientists, science definition team members, NASA Headquarters and the mission's data distribution center. This dialogue clarifies how ICESat-2's science data can be integrated, improved or leveraged to advance science objectives aligned with or beyond those of the mission, and in support of a range of decisions and actions of benefit to communities across the globe. In this presentation, we will present an overview of the Program initiatives and highlight the research-to-applications chains that mission Early Adopters are helping build for ICESat-2. With a total of 19 Early Adopters and more than 400 people engaged as part of the applications community, ICESat-2 has positioned itself to ensure applications where its observations are used to meet the needs of decision makers, policy makers and managers at different scales. For more information visit: http://icesat-2.gsfc.nasa.gov/applications

Ethical Decisions in Palliative Care: Interprofessional Relations as a Burnout Protective Factor? Results From a Mixed-Methods Multicenter Study in Portugal.

PubMed

Hernández-Marrero, Pablo; Pereira, Sandra Martins; Carvalho, Ana Sofia

2016-09-01

Ethical decisions are part of contemporary practices in palliative care. The need of making such decisions is associated to higher burnout levels and other work related problems among healthcare professionals. As part of the project entitled "Decisions in End-of-Life Care in Spain and Portugal" (DELiCaSP), this study aims to (i) identify the most common ethical decisions made by Portuguese palliative care teams and (ii) understand how the making of such decisions relates to burnout. A mixed methods study was conducted with 9 palliative care teams, using (i) questionnaires of socio-demographic and professional variables, work-related experiences, (ii) the Maslach Burnout Inventory, (iii) interviews and (iv) observations. These teams were geographically dispersed across the country, covering the North, Centrum and South regions, and heterogeneous: Five palliative care units for inpatients; three home care teams; and one hospital support team. A total of 20 interviews and 240 hours of observations were completed until reaching saturation. The most common ethical decisions were related to communication issues (information disclosure of the diagnosis and prognosis), forgoing treatment and sedation. Although perceived as stressful, emotionally demanding and challenging, ethical decisions were not significantly associated with burnout. Making ethical decisions is not associated with higher burnout levels among professionals working in Portuguese palliative care teams. This can be explained by the interprofessional decision-making process followed by these teams, which promotes a sense of shared-decision and team-based empowerment; and by the advanced level of interdisciplinary education in palliative care that these professionals have. © The Author(s) 2015.

Towards the next generation of climate change assessment: learning from past experiences to inform a sustainable future

NASA Astrophysics Data System (ADS)

Mach, K. J.; Field, C. B.

2017-12-01

Over decades, assessment by the Intergovernmental Panel on Climate Change and many others has bolstered understanding of the climate problem: unequivocal warming, pervasive impacts, and serious risks from continued high emissions of heat-trapping gases. Societies are increasingly responding with early actions to decarbonize energy systems and prepare for impacts. This emerging era of climate solutions creates a need for new approaches to assessment that emphasize learning from ongoing real-world experiences and that help close the gap between aspirations and the pace of progress. Against this backdrop, the presentation will take stock of recent advances and challenges in assessment, especially drawing from analysis of climate change assessment. Four assessment priorities will be considered: (1) integrating diverse evidence including quantitative and qualitative results, (2) applying rigorous expert judgment in evaluating knowledge and uncertainties, (3) exploring widely ranging futures and their connections to ongoing choices and actions, and (4) incorporating interactions among experts and decision-makers in assessment processes. Across these assessment priorities, the presentation will critique both opportunities and pitfalls, outlining possibilities for future experimentation, innovation, and learning. It will evaluate, in particular, lessons from risk-based approaches; strategies for transparently acknowledging persistent uncertainties and contested priorities; ways to minimize biases and foster creativity in expert judgments; scenario-based assessment of surprises, deep uncertainties, and decision-making implications; and opportunities for broadening the conception of expertise and engaging different decision-makers and stakeholders. Overall, these approaches can advance assessment products and processes as a basis for sustained dialogue supporting decision-making.

Towards an internal model in pilot training.

PubMed

Braune, R J; Trollip, S R

1982-10-01

Optimal decision making requires an information seeking behavior which reflects the comprehension of the overall system dynamics. Research in the area of human monitors in man-machine systems supports the notion of an internal model with built-in expectancies. It is doubtful that the current approach to pilot training helps develop this internal model in the most efficient way. But this is crucial since the role of the pilot is changing to a systems' manager and decision maker. An extension of the behavioral framework of pilot training might help to prepare the pilot better for the increasingly complex flight environment. This extension is based on the theoretical model of schema theory, which evolved out of psychological research. The technological advances in aircraft simulators and in-flight performance measurement devices allow investigation of the still-unresolved issues.

Use of a Computer Program for Advance Care Planning with African American Participants.

PubMed

Markham, Sarah A; Levi, Benjamin H; Green, Michael J; Schubart, Jane R

2015-02-01

The authors wish to acknowledge the support and assistance of Dr. William Lawrence for his contribution to the M.A.UT model used in the decision aid, Making Your Wishes Known: Planning Your Medical Future (MYWK), Dr. Cheryl Dellasega for her leadership in focus group activities, Charles Sabatino for his review of legal aspects of MYWK, Dr. Robert Pearlman and his collaborative team for use of the advance care planning booklet "Your Life, Your Choices," Megan Whitehead for assistance in grant preparation and project organization, and the Instructional Media Development Center at the University of Wisconsin as well as JPL Integrated Communications for production and programming of MYWK. For various cultural and historical reasons, African Americans are less likely than Caucasians to engage in advance care planning (ACP) for healthcare decisions. This pilot study tested whether an interactive computer program could help overcome barriers to effective ACP among African Americans. African American adults were recruited from traditionally Black churches to complete an interactive computer program on ACP, pre-/post-questionnaires, and a follow-up phone interview. Eighteen adults (mean age =53.2 years, 83% female) completed the program without any problems. Knowledge about ACP significantly increased following the computer intervention (44.9% → 61.3%, p=0.0004), as did individuals' sense of self-determination. Participants were highly satisfied with the ACP process (9.4; 1 = not at all satisfied, 10 = extremely satisfied), and reported that the computer-generated advance directive accurately reflected their wishes (6.4; 1 = not at all accurate, 7 = extremely accurate). Follow-up phone interviews found that >80% of participants reported having shared their advance directives with family members and spokespeople. Preliminary evidence suggests that an interactive computer program can help African Americans engage in effective advance care planning, including creating an accurate advance directive document that will be shared with loved ones. © 2015 National Medical Association. Published by Elsevier Inc. All rights reserved.

Molecular diagnosis and precision medicine in allergy management.

PubMed

Riccio, Anna Maria; De Ferrari, Laura; Chiappori, Alessandra; Ledda, Sabina; Passalacqua, Giovanni; Melioli, Giovanni; Canonica, Giorgio Walter

2016-11-01

Precision medicine (PM) can be defined as a structural model aimed at customizing healthcare, with medical decisions/products tailored on an individual patient at a highly detailed level. In this sense, allergy diagnostics based on molecular allergen components allows to accurately define the patient's IgE repertoire. The availability of highly specialized singleplexed and multiplexed platforms support allergists with an advanced diagnostic armamentarium. The therapeutic intervention, driven by the standard diagnostic approach, but further supported by these innovative tools may result, for instance, in a more appropriate prescription of allergen immunotherapy (AIT). Also, the phenotyping of patients, which may have relevant effects on the treatment strategy, could be take advantage by the molecular allergy diagnosis.

Advancing regulatory science to bring novel medical devices for use in emergency care to market: the role of the Food and Drug Administration.

PubMed

Scully, Christopher G; Forrest, Shawn; Galeotti, Loriano; Schwartz, Suzanne B; Strauss, David G

2015-04-01

The Food and Drug Administration (FDA) performs regulatory science to provide science-based medical product regulatory decisions. This article describes the types of scientific research the FDA's Center for Devices and Radiological Health performs and highlights specific projects related to medical devices for emergency medicine. In addition, this article discusses how results from regulatory science are used by the FDA to support the regulatory process as well as how the results are communicated to the public. Regulatory science supports the FDA's mission to assure safe, effective, and high-quality medical products are available to patients. Published by Elsevier Inc.

An environmental scan of advance care planning decision AIDS for patients undergoing major surgery: a study protocol.

PubMed

Aslakson, Rebecca A; Schuster, Anne L R; Miller, Judith; Weiss, Matthew; Volandes, Angelo E; Bridges, John F P

2014-01-01

Patients who undergo major surgery are at risk for perioperative morbidity and mortality. It would be appropriate to initiate advance care planning with patients prior to surgery, but surgeons may experience difficulty initiating such conversations. Rather than focus on changing clinician behavior, advance care planning decision aids can be an innovative vehicle to motivate advance care planning among surgical patients and their families. The purpose of this paper is to describe a study protocol for conducting an environmental scan concerning advance care planning decision aids that may be relevant to patients undergoing high-risk surgery. This study will gather information from written or verbal data sources that incorporate professional and lay perspectives: a systematic review, a grey literature review, key informant interviews, and patient and family engagement. It is envisioned that this study will generate three outcomes: a synthesis of current evidence, a summary of gaps in knowledge, and a taxonomy of existing advance care planning decision aids. This environmental scan will demonstrate principles of patient-centered outcomes research, and it will exemplify a pioneering approach for reviewing complex interventions. Anticipated limitations are that information will be gathered from a small sample of patients and families, and that potentially relevant information could also be missing from the environmental scan due to the inclusion/exclusion criteria. Outcomes from the environmental scan will inform future patient-centered research to develop and evaluate a new decision aid.

Estimating and communicating prognosis in advanced neurologic disease

PubMed Central

Gramling, Robert; Kelly, Adam G.

2013-01-01

Prognosis can no longer be relegated behind diagnosis and therapy in high-quality neurologic care. High-stakes decisions that patients (or their surrogates) make often rest upon perceptions and beliefs about prognosis, many of which are poorly informed. The new science of prognostication—the estimating and communication “what to expect”—is in its infancy and the evidence base to support “best practices” is lacking. We propose a framework for formulating a prediction and communicating “what to expect” with patients, families, and surrogates in the context of common neurologic illnesses. Because neurologic disease affects function as much as survival, we specifically address 2 important prognostic questions: “How long?” and “How well?” We provide a summary of prognostic information and highlight key points when tailoring a prognosis for common neurologic diseases. We discuss the challenges of managing prognostic uncertainty, balancing hope and realism, and ways to effectively engage surrogate decision-makers. We also describe what is known about the nocebo effects and the self-fulfilling prophecy when communicating prognoses. There is an urgent need to establish research and educational priorities to build a credible evidence base to support best practices, improve communication skills, and optimize decision-making. Confronting the challenges of prognosis is necessary to fulfill the promise of delivering high-quality, patient-centered care. PMID:23420894

A commentary on decision-making and organisational legitimacy in the Risk Society.

PubMed

Benn, Suzanne; Brown, Paul; North-Samardzic, Andrea

2009-04-01

Key concepts of Risk Society as elaborated by Ulrich Beck and others (Beck, U., 1992 (trans. Mark Ritter). The Risk Society. Sage Publications, London. Beck, U., 1995, Ecological Politics in the Age of Risk. Polity Press, Cambridge. Beck, U., 1999, World Risk Society. Polity Press, Cambridge. Giddens, A., 1994, Beyond Left and Right. Polity Press, Oxford. Beck, U., Giddens, A. and Lash, S., 1994, Reflexive Modernisation: Politics, Tradition and Aesthetics in the Modern Social Order. Stanford University Press, Stanford. Beck, U., Bonss, W. and Lau, C., 2003, Theory, Culture & Society 2003, Sage, London, 20(2), pp. 1-33.) are illuminated though a case study of managed environmental risk, namely the hexachlorobenzene (HCB) controversy at Botany, a southeast suburb of Sydney. We observe the way multiple stakeholder decision-making plays out a number of Risk Society themes, including the emergence of 'unbounded risk' and of highly 'individualised' and 'reflexive' risk communities. Across several decades, the events of the HCB story support Risk Society predictions of legitimacy problems faced by corporations as they harness technoscientific support for innovation in their products and industrial processes without due recognition of social and environmental risk. Tensions involving identity, trust and access to expert knowledge advance our understanding of democratic 'sub-political' decision-making and ways of distributing environmental risk.

Integrative Governance of Environmental Water in Australia's Murray-Darling Basin: Evolving Challenges and Emerging Pathways.

PubMed

Bischoff-Mattson, Zachary; Lynch, Amanda H

2017-07-01

Integration, a widely promoted response to the multi-scale complexities of social-environmental sustainability, is diversely and sometimes poorly conceptualized. In this paper we explore integrative governance, which we define as an iterative and contextual process for negotiating and advancing the common interest. We ground this definition in a discussion of institutional factors conditioning integrative governance of environmental water in Australia's Murray-Darling Basin. The Murray-Darling Basin is an iconic system of social-ecological complexity, evocative of large-scale conservation challenges in other developed arid river basins. Our critical assessment of integrative governance practices in that context emerges through analysis of interviews with policy participants and documents pertaining to environmental water management in the tri-state area of southwestern New South Wales, northwestern Victoria, and the South Australian Riverland. We identify four linked challenges: (i) decision support for developing socially robust environmental water management goals, (ii) resource constraints on adaptive practice, (iii) inter-state differences in participatory decision-making and devolution of authority, and (iv) representative inclusion in decision-making. Our appraisal demonstrates these as pivotal challenges for integrative governance in the common interest. We conclude by offering a perspective on the potential for supporting integrative governance through the bridging capacity of Australia's Commonwealth Environmental Water Holder.

Attitude of elderly patients towards cardiopulmonary resuscitation in Greece.

PubMed

Chliara, Daphne; Chalkias, Athanasios; Horopanitis, Evaggelos E; Papadimitriou, Lila; Xanthos, Theodoros

2014-10-01

Although researchers in several countries have investigated patients' points of view regarding cardiopulmonary resuscitation, there has been no research investigating this issue in Greece. The present study aimed at identifying the attitude of older Greek patients regarding cardiopulmonary resuscitation. One basic questionnaire consisting of 34 questions was used in order to identify patients' opinions regarding cardiopulmonary resuscitation in five different hospitals from June to November 2011. In total, 300 questionnaires were collected. Although patients' knowledge regarding cardiopulmonary resuscitation was poor, most of them would like to be resuscitated in case they suffered an in-hospital cardiac arrest. Also, they believe that they should have the right to accept or refuse treatment. However, the legal and sociocultural norms in Greece do not support patients' choice for the decision to refuse resuscitation. The influence of several factors, such as their general health status or the underlying pathology, could lead patients to give a "do not attempt resuscitation" order. The attitudes of older Greek patients regarding resuscitation are not different from others', whereas the legal and sociocultural norms in Greece do not support patient choice in end-of-life decisions, namely the decision to refuse resuscitation. We advocate the introduction of advanced directives, as well as the establishment and implementation of specific legislation regarding the ethics of resuscitation in Greece. © 2013 Japan Geriatrics Society.

Workshop on Aeronautical Decision Making (ADM). Volume 1. Executive Summary

DTIC Science & Technology

1992-08-01

expert and novice pilots when a real decision was required. Aeronautical Decision Making (ADM), Crew Resource Management (CRM), Advanced Qualification Program (AQP), Cognitive Task Analysis (CTA), Expert Decision Making (EDM)

Effect of the Contents in Advance Directives on Individuals' Decision-Making.

PubMed

Park, Jae Yoon; Lim, Chi-Yeon; Puurveen, Gloria; Kim, Do Yeun; Lee, Jae Hang; Do, Han Ho; Kim, Kyung Soo; Yoo, Kyung Don; Kim, Hyo Jin; Kim, Yunmi; Shin, Sung Joon

2018-01-01

Completing an advance directive offers individuals the opportunity to make informed choices about end-of-life care. However, these decisions could be influenced in different ways depending on how the information is presented. We randomly presented 185 participants with four distinct types of advance directive: neutrally framed (as reference), negatively framed, religiously framed, and a combination. Participants were asked which interventions they would like to receive at the end of life. Between 60% and 70% of participants responded "accept the special interventions" on the reference form. However, the majority (70%-90%) chose "refuse the interventions" on the negative form. With respect to the religious form, 70% to 80% chose "not decided yet." Participants who refused special life-sustaining treatments were older, female, and with better prior knowledge about advance directives. Our findings imply that the specific content of advance directives could affect decision-making with regard to various interventions for end-of-life care.

Theory versus practice in Strategic Environmental Assessment (SEA)

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

Lobos, Víctor, E-mail: vlobosg@gmail.com; Centro de Estudios del Desarrollo, San Crescente 551, Las Condes, Santiago; Partidario, Maria

Could the theory of Strategic Environmental Assessment (SEA) be ahead of its time and decoupled from its practice? This paper evolved in search for this leading research question. Over the years the discourse on SEA experienced a gradual shift from the technocratic and rationalist thinking that supported its origin to more strategic approaches and integrated concepts, suggested since the mid 1990's. In this paper we share the results of our analysis of international thinking and practical experience with SEA. Results reveal that SEA practice changes very slowly when compared to advanced thinking supporting the noted shift. Current SEA practice showsmore » to be still predominantly rooted in the logic of projects' environmental impact assessment (EIA). It is strongly bound to legal and regulatory requirements, and the motivation for its application persists being the delivery of environmental (or final) reports to meet legal obligations. Even though advanced SEA theoretical thinking claim its potential to help decisions to look forward, change mind-sets and the rationale of decision-making to meet sustainability challenges and enhance societal values, we note a weak relationship between the theoretical development of SEA and its practice. Why is this happening? Which factors explain this apparent inertia, resistance to change, in the SEA practice? Results appear to demonstrate the influence of assumptions, understandings, concepts, and beliefs in the use of SEA, which in turn suggest the political sensitivity of the instrument. - Highlights: • Theoretical thinking in SEA is ahead of its time. • SEA international practice reveals inertia to move out of project’ EIA comfort zone. • World current SEA practice show similar understandings of 30 years ago. • 100 world reports and survey of practitioners supported world review. • SEA great challenge is to change paradigms into new scientific complexity theories.« less

Project HELP: a study protocol to pilot test a shared decision-making tool about treatment options for patients with hepatitis C and chronic kidney disease.

PubMed

Politi, M C; George, N; Li, T; Korenblat, K M; Fowler, K J; Ho, C; Liapakis, A; Roth, D; Yee, J

2018-01-01

Recent advances in treatment have given patients with chronic kidney disease (CKD) access to safer and more effective medications to treat comorbid hepatitis C virus (HCV) infection. Given the variety and complexity of treatment options that depend on patients' clinical characteristics and personal preferences, education and decision support are needed to prepare patients better to discuss treatment options with their clinicians. Drawing on International Patient Decision Aids Standards guidelines, literature reviews, and guidance from a diverse expert advisory group of nephrologists, hepatologists, and patients, we will develop and test a HCV and CKD decision support tool. Named Project HELP ( Helping Empower Liver and kidney Patients ), this tool will support patients with HCV and CKD during decisions about whether, when, and how to treat each illness. The tool will (1) explain information using plain language and graphics; (2) provide a step-by-step process for thinking about treating HCV and CKD; (3) tailor relevant information to each user by asking about the individual's stage of CKD, stage of fibrosis, prior treatment, and comorbidities; (4) assess user knowledge and values for treatment choices; and (5) help individuals use and consider information appropriate to their values and needs to discuss with a clinician. A pilot study including 70 individuals will evaluate the tool's efficacy, usability, and likelihood of using it in clinical practice. Eligibility criteria will include individuals who understand and read English, who are at least 18 years old, have a diagnosis of HCV (any genotype) and CKD (any stage), and are considering treatment options. This study can identify particular characteristics of individuals or groups that might experience challenges initiating treatment for HCV in the CKD population. This tool could provide a resource to facilitate patient-clinician discussions regarding HCV and CKD treatment options.

Community representation in hospital decision making: a literature review.

PubMed

Murray, Zoë

2015-06-01

Advancing quality in health services requires structures and processes that are informed by consumer input. Although this agenda is well recognised, few researchers have focussed on the establishment and maintenance of customer input throughout the structures and processes used to produce high-quality, safe care. We present an analysis of literature outlining the barriers and enablers involved in community representation in hospital governance. The review aimed to explore how community representation in hospital governance is achieved. Studies spanning 1997-2012 were analysed using Donabedian' s model of quality systems as a guide for categories of interest: structure, in relation to administration of quality; process, which is particularly concerned with cooperation and culture; and outcome, considered, in this case, to be the achievement of effective community representation on quality of care. There are limited published studies on community representation in hospital governance in Australia. What can be gleaned from the literature is: 1) quality subcommittees set up to assist Hospital Boards are a key structure for involving community representation in decision making around quality of care, and 2) there are a number of challenges to effectively developing the process of community representation in hospital governance: ambiguity and the potential for escalated indecision; inadequate value and consideration given to it by decision makers resulting in a lack of time and resources needed to support the community engagement strategy (time, facilitation, budgets); poor support and attitude amongst staff; and consumer issues, such as feeling isolated and intimidated by expert opinion. The analysis indicates that: quality subcommittees set up to assist boards are a key structure for involving community representation in decision making around quality of care. There are clearly a number of challenges to effectively developing the process of community representation in hospital governance, associated with ambiguity, organisational and consumer issues. For an inclusive agenda to real life, work must be done on understanding the representatives' role and the decision making process, adequately supporting the representational process, and developing organisational cooperation and culture regarding community representation.

HNS-MS : Improving Member States preparedness to face an HNS pollution of the Marine System

NASA Astrophysics Data System (ADS)

Legrand, Sebastien; Le Floch, Stéphane; Aprin, Laurent; Parthenay, Valérie; Donnay, Eric; Parmentier, Koen; Ovidio, Fabrice; Schallier, Ronny; Poncet, Florence; Chataing, Sophie; Poupon, Emmanuelle; Hellouvry, Yann-Hervé

2016-04-01

When dealing with a HNS pollution incident, one of the priority requirements is the identification of the hazard and an assessment of the risk posed to the public and responder safety, the environment and socioeconomic assets upon which a state or coastal community depend. The primary factors which determine the safety, environmental and socioeconomic impact of the released substance(s) relate to their physico-chemical properties and fate in the environment. Until now, preparedness actions at various levels have primarily aimed at classifying the general environmental or public health hazard of an HNS, or at performing a risk analysis of HNS transported in European marine regions. Operational datasheets have been (MIDSIS-TROCS) or are being (MAR-CIS) developed collating detailed, substance-specific information for responders and covering information needs at the first stage of an incident. However, contrary to oil pollution preparedness and response tools, only few decision-support tools used by Member State authorities (Coastguard agencies or other) integrate 3D models that are able to simulate the drift, fate and behaviour of HNS spills in the marine environment. When they do, they usually consider simplified or steady-state environmental conditions. Moreover, the above-mentioned available HNS information is currently not sufficiently detailed or not suitably classified to be used as an input for an advanced HNS support decision tool. HNS-MS aims at developing a 'one-stop shop' integrated HNS decision-support tool that is able to predict the drift, behaviour and Fate of HNS spills under realistic environmental conditions and at providing key product information - drawing upon and in complement to existing studies and databases - to improve the understanding and evaluation of a HNS spill situation in the field and the environmental and safety-related issues at stake. The 3D HNS drift and fate model and decision-support tool will also be useful at the preparedness stage. The expected results will be an operational HNS decision-support tool (prototype) for the Bonn Agreement area that can also be viewed as a demonstrator tool for other European marine regions. The developed tool will have a similar operational level as OSERIT, the Belgian oil spill drift model. The HNS decision-support tool will integrate the following features: 1. A database containing the physico-chemical parameters needed to compute the behaviour in the marine environment of 100+ relevant HNS; 2. A database of environmental and socioeconomic HNS-sensitive features; 3. A three dimensional HNS spill drift and fate model able to simulate HNS behaviour in the marine environment (including floaters, sinkers, evaporators and dissolvers). 4. A user-friendly web-based interface allowing Coastguard stations to launch a HNS drift simulation and visualize post-processed results in support of an incident evaluation and decision-making process. In this contribution, we will present the methodology followed to develop these four features.

Web-Based Cancer Communication and Decision Making Systems: Connecting Patients, Caregivers, and Clinicians for Improved Health Outcomes

PubMed Central

DuBenske, Lori L.; Gustafson, David H.; Shaw, Bret R.; Cleary, James F.

2011-01-01

Over the cancer disease trajectory, from diagnosis and treatment to remission or end of life, patients and their families face difficult decisions. The provision of information and support when most relevant can optimize cancer decision making and coping. An interactive health communication system (IHCS) offers the potential to bridge the communication gaps that occur among patients, family, and clinicians and to empower each to actively engage in cancer care and shared decision making. This is a report of the authors' experience (with a discussion of relevant literature) in developing and testing a Web-based IHCS—the Comprehensive Health Enhancement Support System (CHESS)—for patients with advanced lung cancer and their family caregivers. CHESS provides information, communication, and coaching resources as well as a symptom tracking system that reports health status to the clinical team. Development of an IHCS includes a needs assessment of the target audience and applied theory informed by continued stakeholder involvement in early testing. Critical issues of IHCS implementation include 1) need for interventions that accommodate a variety of format preferences and technology comfort ranges; 2) IHCS user training, 3) clinician investment in IHCS promotion, and 4) IHCS integration with existing medical systems. In creating such comprehensive systems, development strategies need to be grounded in population needs with appropriate use of technology that serves the target users, including the patient/family, clinical team, and health care organization. Implementation strategies should address timing, personnel, and environmental factors to facilitate continued use and benefit from IHCS. An interactive health communication system (IHCS) offers one platform for providing the information, communication, and coaching resources that cancer patients and their families need to understand the disease, find support, and develop decision-making and coping skills. One such IHCS—the Comprehensive Health Enhancement Support System (CHESS)—has evolved over the past 20 years. Based on our recent experience creating and testing a new version of CHESS—“Coping with Lung Cancer: A Network of Support”—this article outlines the issues faced in developing and implementing such a system within the cancer context. PMID:21041539

Advanced decision modeling for real time variable tolling : development and testing of a data collection platform.

DOT National Transportation Integrated Search

2012-06-01

Our current ability to forecast demand on tolled facilities has not kept pace with advances in decision sciences and : technological innovation. The current forecasting methods suffer from lack of descriptive power of actual behavior because : of the...

32 CFR Appendix to Part 281 - Claims Description

Code of Federal Regulations, 2010 CFR

2010-07-01

... advance decision functions for claims under the following statutes: (a) 31 U.S.C. 3702, concerning claims... SETTLING PERSONNEL AND GENERAL CLAIMS AND PROCESSING ADVANCE DECISION REQUESTS Pt. 281, App. Appendix to... Personnel Management performs these functions for claims involving civilian employees' compensation and...

32 CFR Appendix B to Part 282 - Claims Description

Code of Federal Regulations, 2010 CFR

2010-07-01

... perform the claims settlement and advance decision functions for claims under the following statutes: (a...) MISCELLANEOUS PROCEDURES FOR SETTLING PERSONNEL AND GENERAL CLAIMS AND PROCESSING ADVANCE DECISION REQUESTS Pt... Director of the Office of Personnel Management performs these functions for claims involving civilian...

Visualizing Earth Science Data for Environmental Monitoring and Decision Support in Mesoamerica: The SERVIR Project

NASA Astrophysics Data System (ADS)

Hardin, D.; Graves, S.; Sever, T.; Irwin, D.

2005-05-01

In 2002 and 2003 NASA, the World Bank and the United States Agency for International Development (USAID) joined with the Central American Commission for Environment and Development (CCAD) to develop an advanced decision support system for Mesoamerica (named SERVIR). Mesoamerica - composed of the seven Central American countries and the five southernmost states of Mexico - makes up only a small fraction of the world's land surface. However, the region is home to approximately eight percent of the planet's biodiversity (14 biosphere reserves, 31 Ramsar sites, 8 world heritage sites, 589 protected areas) and 45 million people including more than 50 different ethnic groups. Mesoamerica's biological and cultural diversity are severely threatened by human impact and natural disasters including extensive deforestation, illegal logging, water pollution, slash and burn agriculture, earthquakes, hurricanes, drought, and volcanic eruption. NASA Marshall Space Flight Center (NASA/MSFC), together with the University of Alabama in Huntsville (UAH) and the SERVIR partners are developing state-of-the-art decision support tools for environmental monitoring as well as disaster prevention and mitigation in Mesoamerica. These partners are contributing expertise in space-based observation with information management technologies and intimate knowledge of local ecosystems to create a system that is being used by scientists, educators, and policy makers to monitor and forecast ecological changes, respond to natural disasters, and better understand both natural and human induced effects. The decision support and environmental monitoring data products are typically formatted as conventional two-dimensional, static and animated imagery. However, in addition to conventional data products and as a major portion of our research, we are employing commercial applications that generate three-dimensional interactive visualizations that allow data products to be viewed from multiple angles and at different scales. One of these is a 15 meter resolution mosaic of the entire Mesoamerican region. This paper gives an overview of the SERVIR project and its associated visualization methods.

Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial.

PubMed

Moja, Lorenzo; Polo Friz, Hernan; Capobussi, Matteo; Kwag, Koren; Banzi, Rita; Ruggiero, Francesca; González-Lorenzo, Marien; Liberati, Elisa Giulia; Mangia, Massimo; Nyberg, Peter; Kunnamo, Ilkka; Cimminiello, Claudio; Vighi, Giuseppe; Grimshaw, Jeremy; Bonovas, Stefanos

2016-07-07

Computerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care. These messages are intelligently filtered to enhance the health and clinical care of patients. CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge. We designed a pragmatic randomized controlled trial to evaluate the effectiveness of patient-specific, evidence-based reminders generated at the point-of-care by a multi-specialty decision support system on clinical practice and the quality of care. We will include all the patients admitted to the internal medicine department of one large general hospital. The primary outcome is the rate at which medical problems, which are detected by the decision support software and reported through the reminders, are resolved (i.e., resolution rates). Secondary outcomes are resolution rates for reminders specific to venous thromboembolism (VTE) prevention, in-hospital all causes and VTE-related mortality, and the length of hospital stay during the study period. The adoption of CDSSs is likely to increase across healthcare systems due to growing concerns about the quality of medical care and discrepancy between real and ideal practice, continuous demands for a meaningful use of health information technology, and the increasing use of and familiarity with advanced technology among new generations of physicians. The results of our study will contribute to the current understanding of the effectiveness of CDSSs in primary care and hospital settings, thereby informing future research and healthcare policy questions related to the feasibility and value of CDSS use in healthcare systems. This trial is seconded by a specialty trial randomizing patients in an oncology setting (ONCO-CODES). ClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT02577198?term=NCT02577198&rank=1.

Improving Decision Making for Feeding Options in Advanced Dementia: A Randomized, Controlled Trial

PubMed Central

Hanson, Laura C.; Carey, Timothy S.; Caprio, Anthony J.; Lee, Tae Joon; Ersek, Mary; Garrett, Joanne; Jackman, Anne; Gilliam, Robin; Wessell, Kathryn; Mitchell, Susan L.

2011-01-01

Background Feeding problems are common in dementia, and decision-makers have limited understanding of treatment options. Objectives To test whether a decision aid improves quality of decision-making about feeding options in advanced dementia. Design Cluster randomized controlled trial. Setting 24 nursing homes in North Carolina Participants Residents with advanced dementia and feeding problems and their surrogates. Intervention Intervention surrogates received an audio or print decision aid on feeding options in advanced dementia. Controls received usual care. Measurements Primary outcome was the Decisional Conflict Scale (range 1–5) measured at 3 months; other main outcomes were surrogate knowledge, frequency of communication with providers, and feeding treatment use. Results 256 residents and surrogate decision-makers were recruited. Residents’ average age was 85; 67% were Caucasian and 79% were women. Surrogates’ average age was 59; 67% were Caucasian, and 70% were residents’ children. The intervention improved knowledge scores (16.8 vs 15.1, p<0.001). After 3 months, intervention surrogates had lower Decisional Conflict Scale scores than controls (1.65 vs. 1.90, p<0.001) and more often discussed feeding options with a health care provider (46% vs. 33%, p=0.04). Residents in the intervention group were more likely to receive a dysphagia diet (89% vs.76%, p=0.04), and showed a trend toward increased staff eating assistance (20% vs.10%, p=0.08). Tube feeding was rare in both groups even after 9 months (1 intervention vs. 3 control, p=0.34). Limitations Cluster randomization was necessary to avoid contamination, but limits blinding and may introduce bias by site effect. Conclusion A decision aid about feeding options in advanced dementia reduced decisional conflict for surrogates and increased their knowledge and communication about feeding options with providers. PMID:22091750

A pilot study on understanding the journey of advanced prostate cancer patients.

PubMed

Wagholikar, Amol; Fung, Maggie; Nelson, Colleen

2011-01-01

To understand the journey of advanced prostate cancer patients for supporting development of an innovative patient journey browser. Prostate cancer is one of the common cancers in Australia. Due to the chronic nature of the disease, it is important to have effective disease management strategy and care model. Multi-disciplinary care is a well-proven approach for chronic disease management. The Multi-disciplinary team (MDT) can function more effectively if all the required information is available for the clinical decision support. The development of innovative technology relies on an accurate understanding of the advanced prostate cancer patient's journey over a prolonged period. This need arises from the fact that advanced prostate cancer patients may follow various treatment paths and change their care providers. As a result of this, it is difficult to understand the actual sources of patient's clinical records and their treatment patterns. The aim of the research is to understand variable sources of clinical records, treatment patterns, alternative therapies, over the counter (OTC) medications of advanced prostate cancer patients. This study provides better and holistic understanding of advanced prostate cancer journey. The study was conducted through an on-line survey developed to seek and analyse the responses from the participants. The on-line questionnaire was carefully developed through consultations with the clinical researchers at the Australian Prostate Cancer Research Centre-Queensland, prostate cancer support group representatives and health informaticians at the Australian E-Health Research Centre. The non-identifying questionnaire was distributed to the patients through prostate cancer support groups in Queensland, Australia. The pilot study was carried out between August 2010 and December 2010. The research made important observations about the advanced prostate cancer journey. It showed that General Practitioner (GP) was the common source of patient's clinical records (41%) followed by Urologist (14%) and other clinicians (14%). The data analysis also showed that selenium was the common complementary supplement (55%) used by the patients and about 48% patients did not use any OTC drugs. The most common OTC used by the patients was Paracetamol (about 45%). The results have provided a foundation to the architecture of the proposed technology solution. The outcomes of this study are incorporated in design of the proposed patient journey browser system. A basic version of the system is currently being used at the advanced prostate cancer MDT meetings.

Collaborative mining and interpretation of large-scale data for biomedical research insights.

PubMed

Tsiliki, Georgia; Karacapilidis, Nikos; Christodoulou, Spyros; Tzagarakis, Manolis

2014-01-01

Biomedical research becomes increasingly interdisciplinary and collaborative in nature. Researchers need to efficiently and effectively collaborate and make decisions by meaningfully assembling, mining and analyzing available large-scale volumes of complex multi-faceted data residing in different sources. In line with related research directives revealing that, in spite of the recent advances in data mining and computational analysis, humans can easily detect patterns which computer algorithms may have difficulty in finding, this paper reports on the practical use of an innovative web-based collaboration support platform in a biomedical research context. Arguing that dealing with data-intensive and cognitively complex settings is not a technical problem alone, the proposed platform adopts a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. User experience shows that the platform enables more informed and quicker decisions, by displaying the aggregated information according to their needs, while also exploiting the associated human intelligence.

Collaborative Mining and Interpretation of Large-Scale Data for Biomedical Research Insights

PubMed Central

Tsiliki, Georgia; Karacapilidis, Nikos; Christodoulou, Spyros; Tzagarakis, Manolis

2014-01-01

Biomedical research becomes increasingly interdisciplinary and collaborative in nature. Researchers need to efficiently and effectively collaborate and make decisions by meaningfully assembling, mining and analyzing available large-scale volumes of complex multi-faceted data residing in different sources. In line with related research directives revealing that, in spite of the recent advances in data mining and computational analysis, humans can easily detect patterns which computer algorithms may have difficulty in finding, this paper reports on the practical use of an innovative web-based collaboration support platform in a biomedical research context. Arguing that dealing with data-intensive and cognitively complex settings is not a technical problem alone, the proposed platform adopts a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. User experience shows that the platform enables more informed and quicker decisions, by displaying the aggregated information according to their needs, while also exploiting the associated human intelligence. PMID:25268270

Patients' views on the use of an Option Grid for knee osteoarthritis in physiotherapy clinical encounters: An interview study.

PubMed

Kinsey, Katharine; Firth, Jill; Elwyn, Glyn; Edwards, Adrian; Brain, Katherine; Marrin, Katy; Nye, Alan; Wood, Fiona

2017-12-01

Patient decision support tools have been developed as a means of providing accurate and accessible information in order for patients to make informed decisions about their care. Option Grids ™ are a type of decision support tool specifically designed to be used during clinical encounters. To explore patients' views of the Option Grid encounter tool used in clinical consultations with physiotherapists, in comparison with usual care, within a patient population who are likely to be disadvantaged by age and low health literacy. Semi-structured interviews with 72 patients (36 who had been given an Option Grid in their consultation and 36 who had not). Thematic analysis explored patients' understanding of treatment options, perceptions of involvement, and readability and utility of the Option Grid. Interviews suggested that the Option Grid facilitated more detailed discussion about the risks and benefits of a wider range of treatment options for osteoarthritis of the knee. Participants indicated that the Option Grid was clear and aided their understanding of a structured progression of the options as their condition advanced, although it was not clear whether the Option Grid facilitated greater engagement in shared decision making. The Option Grid for osteoarthritis of the knee was well received by patient participants who reported that it helped them to understand their options, and made the notion of choice explicit. Use of Option Grids should be considered within routine consultations. © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Geo-portal as a planning instrument: supporting decision making and fostering market potential of Energy efficiency in buildings

NASA Astrophysics Data System (ADS)

Cuca, Branka; Brumana, Raffaella; Oreni, Daniela; Iannaccone, Giuliana; Sesana, Marta Maria

2014-03-01

Steady technological progress has led to a noticeable advancement in disciplines associated with Earth observation. This has enabled information transition regarding changing scenarios, both natural and urban, to occur in (almost) real time. In particular, the need for integration on a local scale with the wider territorial framework has occurred in analysis and monitoring of built environments over the last few decades. The progress of Geographic Information (GI) science has provided significant advancements when it comes to spatial analysis, while the almost free availability of the internet has ensured a fast and constant exchange of geo-information, even for everyday users' requirements. Due to its descriptive and semantic nature, geo-spatial information is capable of providing a complete overview of a certain phenomenon and of predicting the implications within the natural, social and economic context. However, in order to integrate geospatial data into decision making processes, it is necessary to provide a specific context, which is well supported by verified data. This paper investigates the potentials of geo-portals as planning instruments developed to share multi-temporal/multi-scale spatial data, responding to specific end-users' demands in the case of Energy efficiency in Buildings (EeB) across European countries. The case study regards the GeoCluster geo-portal and mapping tool (Project GE2O, FP7), built upon a GeoClustering methodology for mapping of indicators relevant for energy efficiency technologies in the construction sector.

KRAS and colorectal cancer: ethical and pragmatic issues in effecting real-time change in oncology clinical trials and practice.

PubMed

Blanke, Charles D; Goldberg, Richard M; Grothey, Axel; Mooney, Margaret; Roach, Nancy; Saltz, Leonard B; Welch, John J; Wood, William A; Meropol, Neal J

2011-01-01

Systemic therapy has led to a median survival time for patients with advanced colorectal cancer (CRC) almost fourfold longer than that expected with best supportive care, an outcome achieved through combining chemotherapeutic and targeted biologic agents. Although the latter can include anti-epidermal growth factor receptor antibodies, such as cetuximab and panitumumab, we now have strong evidence that patients whose tumors harbor mutated KRAS will not benefit from this class of agent. Acceptance of the reliability and importance of the KRAS data took several years to evolve, however, for a variety of reasons. The timeline from the presentation and publication of small, retrospective phase II studies to widespread acceptance of the KRAS predictive value and changes in behavior-specifically, modifications of ongoing national trials in advanced/metastatic CRC, changes in national guidelines and practice patterns, and adjustments to the labeled indications for the monoclonal antibodies-was lengthy. In this commentary, we discuss whether or not the process of data disclosure regarding KRAS status and treatment of advanced CRC patients was effective in permitting timely decisions regarding ongoing publicly funded clinical trials and whether or not such decisions were rational and ethical. The overall goals are to highlight lessons learned regarding early disclosure of clinical trial results, as well as vetting and adoption of new scientific data, and to propose modifications for handling similar situations in the future.

Development of the Supported Decision Making Inventory System.

PubMed

Shogren, Karrie A; Wehmeyer, Michael L; Uyanik, Hatice; Heidrich, Megan

2017-12-01

Supported decision making has received increased attention as an alternative to guardianship and a means to enable people with intellectual and developmental disabilities to exercise their right to legal capacity. Assessments are needed that can used by people with disabilities and their systems of supports to identify and plan for needed supports to enable decision making. This article describes the steps taken to develop such an assessment tool, the Supported Decision Making Inventory System (SDMIS), and initial feedback received from self-advocates with intellectual disability. The three sections of the SDMIS (Supported Decision Making Personal Factors Inventory, Supported Decision Making Environmental Demands Inventory, and Decision Making Autonomy Inventory) are described and implications for future research, policy, and practice are discussed.

Accelerated Adoption of Advanced Health Information Technology in Beacon Community Health Centers.

PubMed

Jones, Emily; Wittie, Michael

2015-01-01

To complement national and state-level HITECH Act programs, 17 Beacon communities were funded to fuel community-wide use of health information technology to improve quality. Health centers in Beacon communities received supplemental funding. This article explores the association between participation in the Beacon program and the adoption of electronic health records. Using the 2010-2012 Uniform Data System, trends in health information technology adoption among health centers located within and outside of Beacon communities were explored using differences in mean t tests and multivariate logistic regression. Electronic health record adoption was widespread and rapidly growing in all health centers, especially quality improvement functionalities: structured data capture, order and results management, and clinical decision support. Adoption lagged for functionalities supporting patient engagement, performance measurement, care coordination, and public health. The use of advanced functionalities such as care coordination grew faster in Beacon health centers, and Beacon health centers had 1.7 times higher odds of adopting health records with basic safety and quality functionalities in 2010-2012. Three factors likely underlie these findings: technical assistance, community-wide activation supporting health information exchange, and the layering of financial incentives. Additional technical assistance and community-wide activation is needed to support the use of functionalities that are currently lagging. © Copyright 2015 by the American Board of Family Medicine.

Lunar and Mars missions - Challenges for advanced life support

NASA Technical Reports Server (NTRS)

Duke, Michael B.

1988-01-01

The development of a suite of scenarios is a prerequisite to the studies that will enable an informed decision by the United States on a program to meet the recently announced space policy goal to expand human presence beyond earth orbit. NASA's Office of Exploration is currently studying a range of initiative options that would extend the sphere of human activity in space to Mars and include permanent bases or outposts on the moon and on Mars. This paper describes the evolutionary lunar base and the Mars expedition scenarios in some detail so that an evaluation can be made from the point of view of human support and opportunities. Alternative approaches in the development of lunar outposts are outlined along with Mars expeditionary scenarios. Human environmental issues are discussed, including: closed loop life support systems; EVA systems; mobility systems; and medical support, physiological deconditioning, and psychological effects associated with long-duration missions.