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Diagnostic Reasoning with a Working Memory
1985We outline a new control structure for an expert system in (medical) diagnosis. The control structure is based on psychological observations of expert clinicians. It involves investigating a set of hypotheses simultaneously, avoiding the shortcomings of focussing on the top-hypothesis only. The set of hypothesis is called working-memory.
Frank Puppe, Bernhard Puppe
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Functional neuroimaging and diagnostic reasoning
Medical Teacher, 2016Dear SirWe read Durning et al.’s article on the functional neuroimaging correlates of thinking flexibility and knowledge structure in memory with considerable interest.
Georges, Bordage, Kevin, Eva
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2019
This chapter describes the diagnostic process and provides illustrations from the author’s experience. It notes that the clinical encounter has parallels in hypothetico-deductive reasoning, sharing key elements but not the sequential structure. It refers to the consensus that the thinking of experienced clinicians seldom follows a simple sequence and ...
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This chapter describes the diagnostic process and provides illustrations from the author’s experience. It notes that the clinical encounter has parallels in hypothetico-deductive reasoning, sharing key elements but not the sequential structure. It refers to the consensus that the thinking of experienced clinicians seldom follows a simple sequence and ...
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Research on Diagnostic Reasoning in Nursing
International Journal of Nursing Terminologies and Classifications, 1990NANDA has traditionally complemented its work on the development and clinical testing of nursing diagnoses with concurrent interest in nurses' diagnostic reasoning processes. This literature review describes studies in diagnostic reasoning, including research based on the information processing model, research examining the role of intuition, and ...
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Diagnostic error and clinical reasoning
Medical Education, 2009Context There is a growing literature on diagnostic errors. The consensus of this literature is that most errors are cognitive and result from the application of one or more cognitive biases. Such biased reasoning is usually associated with ‘System 1’ (non‐analytic, pattern recognition) thinking.
Norman, Geoffrey R., Eva, Kevin W.
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Causal models for diagnostic reasoning
Artificial Intelligence in Engineering, 1989Abstract Theories of qualitative physics are crucial in developing knowledge-based systems in engineering. Basic models for diagnostic reasoning are based on causal connections between the system parameters. In this paper a knowledge representation and problem solving technique is presented as a ground-laying step.
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Causal reasoning and the diagnostic process
Theoretical Medicine, 1994Causal reasoning as a way to make a diagnosis seems convincing. Modern medicine depends on the search for causes of disease and it seems fair to assert that such knowledge is employed in diagnosis. Causal reasoning as it has been presented neglects to some extent the conception of multifactorial disease causes.The purpose of this paper is to analyze ...
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Diagnostic Reasoning in Neurologic Consultation
ContinuumThis article discusses potential pitfalls when consulting on patients who develop neurologic symptoms in the context of systemic disease and describes strategies to avoid diagnostic errors in this context.Cognitive biases that shape clinical reasoning have been identified and studied.
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Diagnostic reasoning in challenging cases
Practical NeurologyDiagnostic reasoning relies on cognitive heuristics to recognise patterns of symptoms and signs in order to arrive at a diagnosis. These rules of thumb allow us to rapidly diagnose common conditions that present in typical ways. However, they may lead us astray when common conditions present atypically or when a patient has a rare condition or multiple
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