The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
What every teacher needs to know about clinical reasoning
Abstract
Context One of the core tasks assigned to clinical teachers is to enable students to sort through a cluster of features presented by a patient and accurately assign a diagnostic label, with the development of an appropriate treatment strategy being the end goal. Over the last 30 years there has been considerable debate within the health sciences education literature regarding the model that best describes how expert clinicians generate diagnostic decisions. Purpose The purpose of this essay is to provide a review of the research literature on clinical reasoning for frontline clinical teachers. The strengths and weaknesses of different approaches to clinical reasoning will be examined using one of the core divides between various models (that of analytic (i.e. conscious/controlled) versus non‐analytic (i.e. unconscious/automatic) reasoning strategies) as an orienting framework. Discussion Recent work suggests that clinical teachers should stress the importance of both forms of reasoning, thereby enabling students to marshal reasoning processes in a flexible and context‐specific manner. Specific implications are drawn from this overview for clinical teachers.
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Cites
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Research in clinical reasoning: past history and current trends
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Self-citationSimulation‐based learning in nurse education: systematic review
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Metadata
- Authors
- Eva, K. W.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2004-09-29
- Volume
- 39
- Issue
- 1
- Pages
- 98-106
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2029342902
- Cited by
- 930
- References
- 50
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.