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Medical Problem Solving: An Analysis of Clinical Reasoning
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The article was published on 1978-01-01 and is currently open access. It has received 1600 citations till now. The article focuses on the topics: Model-based reasoning.read more
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Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction
TL;DR: Women exhibited substantially more variation in unique symptom phenotypes than men, regardless of whether the symptoms were derived from structured interviews or abstracted from the medical record, and may have important implications for teaching and improving clinicians’ ability to recognize the diagnosis of AMI in women.
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Clinical competence: general ability or case-specific?
TL;DR: Clinical competence, as measured in this study, is based on a combination of specific preclinical knowledge and a problem-solving ability, which is not solely a result of content knowledge, but of level of experience and level of case difficulty.
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A formal model of diagnostic inference. II. Algorithmic solution and application
TL;DR: The generalized set-covering (GSC) model is used as the basis for algorithms modeling the “hypothesize-and-test” nature of diagnostic problem solving, and the utility of the GSC model is illustrated by using it to describe and analyze some recent abductive expert systems for diagnostic problems solving.
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Compram, a method for handling complex societal problems
TL;DR: The Compram method has been used as a theoretical basis for handling over sixty real life cases in the field of technical societal policy making and reorganization and is a prescriptive framework method to which all kind of sub- methods can be applied.
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The use of 'think aloud' technique, information processing theory and schema theory to explain decision-making processes of general practitioners and nurse practitioners using patient scenarios
TL;DR: In this paper, the authors explored the cognitive processes of decision making by 11 nurse practitioners and 11 general practitioners from the south east of England, using six patient scenarios during 2000, and discussed the usefulness of information processing theory to explore decision-making by nurse practitioners.