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      The role of strategy and redundancy in diagnostic reasoning

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          Abstract

          Background

          Diagnostic reasoning is a key competence of physicians. We explored the effects of knowledge, practice and additional clinical information on strategy, redundancy and accuracy of diagnosing a peripheral neurological defect in the hand based on sensory examination.

          Method

          Using an interactive computer simulation that includes 21 unique cases with seven sensory loss patterns and either concordant, neutral or discordant textual information, 21 3rd year medical students, 21 6th year and 21 senior neurology residents each examined 15 cases over the course of one session. An additional 23 psychology students examined 24 cases over two sessions, 12 cases per session. Subjects also took a seven-item MCQ exam of seven classical patterns presented visually.

          Results

          Knowledge of sensory patterns and diagnostic accuracy are highly correlated within groups ( R 2 = 0.64). The total amount of information gathered for incorrect diagnoses is no lower than that for correct diagnoses. Residents require significantly fewer tests than either psychology or 6th year students, who in turn require fewer than the 3rd year students (p < 0.001). The diagnostic accuracy of subjects is affected both by level of training (p < 0.001) and concordance of clinical information (p < 0.001). For discordant cases, refutation testing occurs significantly in 6th year students (p < 0.001) and residents (p < 0.01), but not in psychology or 3rd year students. Conversely, there is a stable 55% excess of confirmatory testing, independent of training or concordance.

          Conclusions

          Knowledge and practice are both important for diagnostic success. For complex diagnostic situations reasoning components employing redundancy seem more essential than those using strategy.

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          Most cited references23

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          A cognitive perspective on medical expertise: theory and implication.

          A new theory of the development of expertise in medicine is outlined. Contrary to existing views, this theory assumes that expertise is not so much a matter of superior reasoning skills or in-depth knowledge of pathophysiological states as it is based on cognitive structures that describe the features of prototypical or even actual patients. These cognitive structures, referred to as "illness scripts," contain relatively little knowledge about pathophysiological causes of symptoms and complaints but a wealth of clinically relevant information about disease, its consequences, and the context under which illness develops. By contrast, intermediate-level students without clinical experience typically use pathophysiological, causal models of disease when solving problems. The authors review evidence supporting the theory and discuss its implications for the understanding of five phenomena extensively documented in the clinical-reasoning literature: (1) content specificity in diagnostic performance; (2) typical differences in data-gathering techniques between medical students and physicians; (3) difficulties involved in setting standards; (4) a decline in performance on certain measures of clinical reasoning with increasing expertise; and (5) a paradoxical association between errors and longer response times in visual diagnosis.
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            Semantic structures and diagnostic thinking of experts and novices.

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              Helping students learn to think like experts when solving clinical problems.

              Analysis of problem-solving strategies reveals that although there is no universal, generic problem-solving process, there is a clinical reasoning process that is specific and highly tailored to the complexity of each clinical problem. Research reveals that successful problem solvers must possess comprehensive knowledge, but that the way they organize and understand their knowledge is even more critical. Moreover, using "schemes" for both learning and problem solving provides the advantage of combining the creation of a knowledge structure and a search-and-retrieval strategy into a single operation. (A "scheme" in this context is a mental categorization of knowledge that includes a particular organized way of understanding and responding to a complex situation.) The implication for medical education is that a comprehensive knowledge domain must be appropriately organized for knowledge mastery, which in turn is essential for clinical problem solving. Problem-solving strategies must be specific for each problem and not based on the assumption of a universal generic process. Consequently, a new taxonomy of medical problems is recommended, along with an altered problem-based learning (PBL) format. The "hypothetico-deductive" strategy traditionally used in PBL should be replaced by scheme-driven search strategies so that students develop a more organized and logical approach to problem solving.
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                Author and article information

                Journal
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                2003
                24 January 2003
                : 3
                : 1
                Affiliations
                [1 ]Institute for Medical Education (IAWF), Faculty of Medicine, University of Bern, Inselspital 37a, 3010 Bern, Switzerland
                Article
                1472-6920-3-1
                10.1186/1472-6920-3-1
                149359
                12542839
                400147e2-046a-4f0e-84b7-ae593477208e
                Copyright © 2003 Bloch et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
                History
                : 23 July 2002
                : 24 January 2003
                Categories
                Research Article

                Education
                cognitive psychology,experimental studies,entropy,clinical decision making,diagnostic reasoning,medical education

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