Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

1979 ◽  
Vol 67 (9) ◽  
pp. 1207-1224 ◽  
Author(s):  
E.H. Shortliffe ◽  
B.G. Buchanan ◽  
E.A. Feigenbaum
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Knowledge Engineering ◽  
Decision Aids ◽  
Clinical Decision ◽  
Medical Decision ◽  
Computer Based

scholarly journals Value-impregnated factual claims may undermine medical decision-making

2018 ◽  
Vol 13 (3) ◽  
pp. 151-158 ◽  
Author(s):  
Niels Lynøe ◽  
Gert Helgesson ◽  
Niklas Juth
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Clinical Decision Making ◽  
Negative Impact ◽  
Personal Values ◽  
Healthcare Providers ◽  
Clinical Decision ◽  
Medical Decision ◽  
Clinical Decisions ◽  
Soft Laws

Clinical decisions are expected to be based on factual evidence and official values derived from healthcare law and soft laws such as regulations and guidelines. But sometimes personal values instead influence clinical decisions. One way in which personal values may influence medical decision-making is by their affecting factual claims or assumptions made by healthcare providers. Such influence, which we call ‘value-impregnation,’ may be concealed to all concerned stakeholders. We suggest as a hypothesis that healthcare providers’ decision making is sometimes affected by value-impregnated factual claims or assumptions. If such claims influence e.g. doctor–patient encounters, this will likely have a negative impact on the provision of correct information to patients and on patients’ influence on decision making regarding their own care. In this paper, we explore the idea that value-impregnated factual claims influence healthcare decisions through a series of medical examples. We suggest that more research is needed to further examine whether healthcare staff’s personal values influence clinical decision-making.

Supporting Knowledge-Based Decision Making in the Medical Context

2011 ◽  
Vol 1 (1) ◽  
pp. 42-60 ◽  
Author(s):  
Luca Anselma ◽  
Alessio Bottrighi ◽  
Gianpaolo Molino ◽  
Stefania Montani ◽  
Paolo Terenziani ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Medical Decision ◽  
Theory Analysis ◽  
Knowledge Based ◽  
Therapeutic Decisions ◽  
Computer Based ◽  
Based Medicine ◽  
Domain Independent

Knowledge-based clinical decision making is one of the most challenging activities of physicians. Clinical Practice Guidelines are commonly recognized as a useful tool to help physicians in such activities by encoding the indications provided by evidence-based medicine. Computer-based approaches can provide useful facilities to put guidelines into practice and to support physicians in decision-making. Specifically, GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent prototypical tool providing advanced Artificial Intelligence techniques to support medical decision making, including what-if analysis, temporal reasoning, and decision theory analysis. The paper describes such facilities considering a real-world running example and focusing on the treatment of therapeutic decisions.

DISCUSSION AGENDA FOR THE SESSION ON MEDICAL DECISION MAKING and MINUTES OF A GROUP DISCUSSION ON CLINICAL DECISION MAKING

1988 ◽  
pp. 599-612
Author(s):  
Milton C. Weinstein ◽  
Harvey V. Fineberg ◽  
Barbara J. McNeil ◽  
Stephen G. Pauker ◽  
Robert J. Quinn
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Clinical Decision Making ◽  
Group Discussion ◽  
Clinical Decision ◽  
Medical Decision

scholarly journals Intergenerational Decision Making: The Role of Family Relationships in Medical Decision Making

2021 ◽  
Vol 6 (2) ◽  
pp. 238146832110394
Author(s):  
Jody L. Lin ◽  
Ellen A. Lipstein ◽  
Eve Wittenberg ◽  
Djin Tay ◽  
Robert Lundstrom ◽  
...  
Keyword(s):  
Decision Making ◽  
Family Relationships ◽  
Medical Decision Making ◽  
Decision Aids ◽  
Spillover Effects ◽  
Medical Decision ◽  
Economic Evaluations ◽  
Clinical Experiences ◽  
Medical Needs ◽  
Technological Advances

A symposium held at the 42nd annual Society for Medical Decision Making conference on October 26, 2020, focused on intergenerational decision making. The symposium covered existing research and clinical experiences using formal presentations and moderated discussion and was attended by 43 people. Presentations focused on the roles of pediatric patients in decision making, caregiver decision making for a child with complex medical needs, caregiver involvement in advanced care planning, and the inclusion of spillover effects in economic evaluations. The moderated discussion, summarized in this article, highlighted existing resources and gaps in intergenerational decision making in four areas: decision aids, economic evaluation, participant perspectives, and measures. Intergenerational decision making is an understudied and poorly understood aspect of medical decision making that requires particular attention as our society ages and technological advances provide new innovations for life-sustaining measures across all stages of the lifespan.

Supporting Knowledge-Based Decision Making in the Medical Context

2011 ◽  
pp. 1721-1737
Author(s):  
Luca Anselma ◽  
Alessio Bottrighi ◽  
Gianpaolo Molino ◽  
Stefania Montani ◽  
Paolo Terenziani ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Medical Decision ◽  
Evidence Based ◽  
Knowledge Based ◽  
Therapeutic Decisions ◽  
Computer Based ◽  
Based Medicine ◽  
Domain Independent

Knowledge-based clinical decision making is one of the most challenging activities of physicians. Clinical Practice Guidelines are commonly recognized as a useful tool to help physicians in such activities by encoding the indications provided by evidence-based medicine. Computer-based approaches can provide useful facilities to put guidelines into practice and to support physicians in decision-making. Specifically, GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent prototypical tool providing advanced Artificial Intelligence techniques to support medical decision making, including what-if analysis, temporal reasoning, and decision theory analysis. The paper describes such facilities considering a real-world running example and focusing on the treatment of therapeutic decisions.

scholarly journals Development and Evaluation of a Crowdsourcing Platform for Education and Evidence-Based Medical Decision-Making

2019 ◽  
Vol 43 (1 suppl 1) ◽  
pp. 513-524
Author(s):  
Álisson Oliveira dos Santos ◽  
Alexandre Sztajnberg ◽  
Tales Mota Machado ◽  
Daniel Magalhães Nobre ◽  
Adriano Neves de Paula e Souza ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Medical Decision Making ◽  
Clinical Decision Making ◽  
Real Life ◽  
Evaluation Process ◽  
Clinical Decision ◽  
Medical Decision ◽  
Alternative Form ◽  
Evidence Based

ABSTRACT The medical education for clinical decision-making has undergone changes in recent years. Previously supported by printed material, problem solving in clinical practice has recently been aided by digital tools known as summaries platforms. Doctors and medical students have been using such tools from questions found in practice scenarios. These platforms have the advantage of high-quality, evidence-based and always up-to-date content. Its popularization was mainly due to the rise of the internet use and, more recently, of mobile devices such as tablets and smartphones, facilitating their use in clinical practice. Despite this platform is widely available, the most of them actually present several access barriers as costs, foreign language and not be able to Brazilian epidemiology. A free national platform of evidence-based medical summaries was proposed, using the crowdsourcing concept to resolve those barriers. Furthermore, concepts of gamification and content evaluation were implemented. Also, there is the possibility of evaluation by the users, who assigns note for each content created. The platform was built with modern technological tools and made available for web and mobile application. After development, an evaluation process was conducted by researchers to attest to the valid of content, usability, and user satisfying. Consolidated questionnaires and evaluation tools by the literature were applied. The process of developing the digital platform fostered interdisciplinarity, from the involvement of medical and information technology professionals. The work also allowed the reflection on the innovative educational processes, in which the learning from real life problems and the construction of knowledge in a collaborative way are integrated. The assessment results suggest that platform can be real alternative form the evidence-based medical decision-making.

Supporting Knowledge-Based Decision Making in the Medical Context

2012 ◽  
pp. 24-42
Author(s):  
Luca Anselma ◽  
Alessio Bottrighi ◽  
Gianpaolo Molino ◽  
Stefania Montani ◽  
Paolo Terenziani ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Medical Decision ◽  
Evidence Based ◽  
Knowledge Based ◽  
Therapeutic Decisions ◽  
Computer Based ◽  
Based Medicine ◽  
Domain Independent

Knowledge-based clinical decision making is one of the most challenging activities of physicians. Clinical Practice Guidelines are commonly recognized as a useful tool to help physicians in such activities by encoding the indications provided by evidence-based medicine. Computer-based approaches can provide useful facilities to put guidelines into practice and to support physicians in decision-making. Specifically, GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent prototypical tool providing advanced Artificial Intelligence techniques to support medical decision making, including what-if analysis, temporal reasoning, and decision theory analysis. The paper describes such facilities considering a real-world running example and focusing on the treatment of therapeutic decisions.

Diagnosing, fast and slow

2020 ◽  
pp. postgradmedj-2019-137412
Author(s):  
JJ Coughlan ◽  
Cormac Francis Mullins ◽  
Thomas J Kiernan
Keyword(s):  
Decision Making ◽  
Cognitive Bias ◽  
Medical Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Diagnostic Error ◽  
Medical Decision ◽  
Content Type ◽  
Clinical Paradigm ◽  
Improving Patient Care

Diagnostic error is increasingly recognised as a source of significant morbidity and mortality in medicine. In this article, we will attempt to address several questions relating to clinical decision making; How do we decide on a diagnosis? Why do we so often get it wrong? Can we improve our critical faculties?We begin by describing a clinical vignette in which a medical error occurred and resulted in an adverse outcome for a patient. This case leads us to the concepts of heuristic thinking and cognitive bias. We then discuss how this is relevant to our current clinical paradigm, examples of heuristic thinking and potential mechanisms to mitigate bias.The aim of this article is to increase awareness of the role that cognitive bias and heuristic thinking play in medical decision making. We hope to motivate clinicians to reflect on their own patterns of thinking with an overall aim of improving patient care.

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