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Can you really infer that? An exploratory study using the reasoning task typology to analyze clinic notes
David Chartash1,2, Jacqueline Torti3, Brandi E Stevens4
1Department of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, CT, USA. david.chartash@yale.edu.
This study shows that analyzing clinical notes can assess clinical reasoning beyond cognitive skills. Written medical communication often implies knowledge, highlighting the need to teach explicit clinical reasoning in documentation.
Area of Science:
- Medical Education
- Clinical Reasoning Assessment
- Health Informatics
Background:
- Assessing clinical reasoning is a core challenge in medical education.
- Written communication in clinical settings is a vital, multi-purpose educational tool.
- Existing methods often focus narrowly on cognitive aspects of clinical reasoning.
Purpose of the Study:
- To apply and validate a retrospective template analysis of clinical notes.
- To broaden the measurement of clinical reasoning using a comprehensive typology.
- To explore how written communication reflects clinical reasoning complexity.
Main Methods:
- Retrospective template analysis of clinical notes.
- Application of a comprehensive clinical reasoning typology.
- Analysis of factors influencing complexity, including coherence and ambiguity.
Main Results:
- Clinical reasoning assessment in notes is influenced by text coherence and semantic ambiguity.
- Significant clinical reasoning information is often inferred, not explicit.
- The structure of clinical narratives reflects physician-relative and cultural documentation practices.
Conclusions:
- Written clinical notes offer a rich, albeit complex, source for assessing clinical reasoning.
- Medical educators must teach explicit clinical reasoning explication in writing.
- The evolving electronic medical record and its technology shape clinical narratives and require pedagogical adaptation.
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