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Strategies in Abduction: Generating and Selecting Diagnostic Hypotheses
Donald E Stanley1, Rune Nyrup2
1Main Medical Center, Portland, Maine, USA.
The Journal of Medicine and Philosophy
|January 8, 2020
Summary
This study introduces strategic reasoning for medical diagnosis, focusing on hypothesis generation and selection. It argues for better decision-making in clinical reasoning beyond current probabilistic models.
Area of Science:
- Medical Diagnosis
- Clinical Decision-Making
- Philosophy of Medicine
Background:
- Medical diagnosis involves generating, selecting, and evaluating hypotheses.
- Existing models inadequately capture the interplay between hypothesis generation and selection.
- Peirce's theory of abduction offers a framework for normative analysis of hypothesis generation.
Purpose of the Study:
- To propose a new conceptualization of medical diagnosis.
- To analyze the strategic aspects of diagnostic hypothesis generation and selection.
- To address limitations in current decision-theoretic models of clinical reasoning.
Main Methods:
- Analysis of diagnostic hypothesis generation using Peirce's abduction.
- Examination of the relationship between hypothesis generation and selection.
- Case study analysis of a detailed clinical scenario.
Main Results:
- Hypothesis generation in medical diagnosis can be normatively analyzed.
- The interaction between hypothesis generation and selection is crucial but often overlooked.
- Existing threshold models do not fully represent clinical decision-making complexity.
Conclusions:
- Medical diagnosis should be conceptualized through strategic reasoning.
- Physicians require effective strategies for deciding when and how to generate diagnostic hypotheses.
- A strategic reasoning framework offers a more comprehensive approach to understanding medical diagnosis.
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