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Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning

As medicine continues to advance with improvements in technology, factual information has become more easily available at the bedside. Nevertheless, diagnostic error remains a salient concern for the medical community and public. To address this problem, two fundamental characteristics of the physic...

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Detalles Bibliográficos
Autores principales: Dunlop, Mark, Schwartzstein, Richard M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015765/
https://www.ncbi.nlm.nih.gov/pubmed/33870307
http://dx.doi.org/10.34197/ats-scholar.2020-0043PS
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author Dunlop, Mark
Schwartzstein, Richard M.
author_facet Dunlop, Mark
Schwartzstein, Richard M.
author_sort Dunlop, Mark
collection PubMed
description As medicine continues to advance with improvements in technology, factual information has become more easily available at the bedside. Nevertheless, diagnostic error remains a salient concern for the medical community and public. To address this problem, two fundamental characteristics of the physician remain important: curiosity and the ability to apply critical reasoning to solve problems, often in the setting of imperfect knowledge and uncertainty. Historically, the teaching and recall of factual information, illness scripts, and pattern recognition are emphasized early in medical education. Students are often left with the impression that there is a single correct answer for every question; discussions of uncertainty are rare. Consequently, discomfort with uncertainty is common among doctors. As attention to explicit teaching of clinical reasoning increases, one must consider how to incorporate uncertainty into that teaching and to transform the clinical learning environment to embrace uncertainty. The authors propose the use of several simple methods easily employed in the critical care setting to make uncertainty explicit by changing the language used for expressing differential diagnosis, incorporating probabilities into daily sign-outs, and by implementing inductive reasoning when teaching critical thinking to offer learners a strategy for working through unknown problems; these approaches may normalize uncertainty, improve comfort with it, and reduce the impact of cognitive bias in decision-making. Comfort with uncertainty may result not only in improved clinical experiences for learning by transforming a once negative cognitive experience to a positive one but also in reduced susceptibility to thinking errors.
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spelling pubmed-80157652021-04-16 Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning Dunlop, Mark Schwartzstein, Richard M. ATS Sch Perspectives As medicine continues to advance with improvements in technology, factual information has become more easily available at the bedside. Nevertheless, diagnostic error remains a salient concern for the medical community and public. To address this problem, two fundamental characteristics of the physician remain important: curiosity and the ability to apply critical reasoning to solve problems, often in the setting of imperfect knowledge and uncertainty. Historically, the teaching and recall of factual information, illness scripts, and pattern recognition are emphasized early in medical education. Students are often left with the impression that there is a single correct answer for every question; discussions of uncertainty are rare. Consequently, discomfort with uncertainty is common among doctors. As attention to explicit teaching of clinical reasoning increases, one must consider how to incorporate uncertainty into that teaching and to transform the clinical learning environment to embrace uncertainty. The authors propose the use of several simple methods easily employed in the critical care setting to make uncertainty explicit by changing the language used for expressing differential diagnosis, incorporating probabilities into daily sign-outs, and by implementing inductive reasoning when teaching critical thinking to offer learners a strategy for working through unknown problems; these approaches may normalize uncertainty, improve comfort with it, and reduce the impact of cognitive bias in decision-making. Comfort with uncertainty may result not only in improved clinical experiences for learning by transforming a once negative cognitive experience to a positive one but also in reduced susceptibility to thinking errors. American Thoracic Society 2020-09-16 /pmc/articles/PMC8015765/ /pubmed/33870307 http://dx.doi.org/10.34197/ats-scholar.2020-0043PS Text en Copyright © 2020 by the American Thoracic Society https://creativecommons.org/licenses/by-nc-nd/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern (dgern@thoracic.org).
spellingShingle Perspectives
Dunlop, Mark
Schwartzstein, Richard M.
Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title_full Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title_fullStr Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title_full_unstemmed Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title_short Reducing Diagnostic Error in the Intensive Care Unit. Engaging Uncertainty When Teaching Clinical Reasoning
title_sort reducing diagnostic error in the intensive care unit. engaging uncertainty when teaching clinical reasoning
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015765/
https://www.ncbi.nlm.nih.gov/pubmed/33870307
http://dx.doi.org/10.34197/ats-scholar.2020-0043PS
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