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Clinical Expertise and the Limits of Explicit Knowledge

Authors: Daniel, Luchins;

Clinical Expertise and the Limits of Explicit Knowledge

Abstract

This article questions the view that medical decision-making can be reduced to a series of explicit rules, adherence to which will necessarily improve outcomes. Instead, it attempts to rehabilitate the concepts of clinical expertise and clinical experience, arguing that medicine, like other areas of expertise, depends on forms of implicit knowledge that can only be acquired through years of experience. Recent research on "fast and frugal" heuristics in medical decision-making suggest that statistical techniques are not necessarily superior to clinician judgment. Since clinical decisions are made on individual patients within the constraint of limited information, they must rest on clinical expertise and not clinical rules.

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Keywords

Health Knowledge, Attitudes, Practice, Health Personnel, Decision Making, Reproducibility of Results, Decision Support Systems, Clinical, Decision Support Techniques, Judgment, Predictive Value of Tests, Practice Guidelines as Topic, Humans, Clinical Competence

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    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Top 10%
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