Clinical reasoning: the relative contribution of identification, interpretation and hypothesis errors to misdiagnosis
- PMID: 15369910
- DOI: 10.1080/01421590310001605688
Clinical reasoning: the relative contribution of identification, interpretation and hypothesis errors to misdiagnosis
Abstract
The aim of this study was to identify and describe the types of errors in clinical reasoning that contribute to poor diagnostic performance at different levels of medical training and experience. Three cohorts of subjects, second- and fourth- (final) year medical students and a group of general practitioners, completed a set of clinical reasoning problems. The responses of those whose scores fell below the 25th centile were analysed to establish the stage of the clinical reasoning process--identification of relevant information, interpretation or hypothesis generation--at which most errors occurred and whether this was dependent on problem difficulty and level of medical experience. Results indicate that hypothesis errors decrease as expertise increases but that identification and interpretation errors increase. This may be due to inappropriate use of pattern recognition or to failure of the knowledge base. Furthermore, although hypothesis errors increased in line with problem difficulty, identification and interpretation errors decreased. A possible explanation is that as problem difficulty increases, subjects at all levels of expertise are less able to differentiate between relevant and irrelevant clinical features and so give equal consideration to all information contained within a case. It is concluded that the development of clinical reasoning in medical students throughout the course of their pre-clinical and clinical education may be enhanced by both an analysis of the clinical reasoning process and a specific focus on each of the stages at which errors commonly occur.
Comment in
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The Causes of Errors in Clinical Reasoning: Cognitive Biases, Knowledge Deficits, and Dual Process Thinking.Acad Med. 2017 Jan;92(1):23-30. doi: 10.1097/ACM.0000000000001421. Acad Med. 2017. PMID: 27782919
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