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Heuristics in Managing Complex Clinical Decision Tasks in Experts' Decision Making
Roosan Islam1, Charlene Weir1, Guilherme Del Fiol1
1Department of Biomedical Informatics, University of Utah, Veteran Affairs Salt Lake City Health System, Salt Lake City, Utah. USA.
Proceedings. IEEE International Conference on Healthcare Informatics
|June 9, 2016
Summary
Experts manage complex clinical decisions using strategies like mental projection and trade-offs. Understanding these cognitive processes can improve clinical decision support systems.
Area of Science:
- Cognitive Science
- Medical Informatics
- Clinical Decision Making
Background:
- Clinical decision support (CDS) aims to optimize expert decision-making.
- Limited understanding exists regarding the abstract thinking processes employed by experts.
Purpose of the Study:
- To investigate how clinicians navigate complexity in challenging clinical decision-making scenarios.
- Elucidate the cognitive strategies used by experts when faced with intricate medical tasks.
Main Methods:
- Qualitative study involving interviews with three clinical experts.
- Analysis of interview transcripts to identify decision-making strategies.
Main Results:
- Identified five key strategies for managing complex clinical decisions: decision conflict, mental projection, decision trade-offs, managing uncertainty, and generating rules of thumb.
- Complexity arises from conflicting information, future outcome simulation, limited choices, and uncertainty.
Conclusions:
- Experts employ diverse strategies to simplify complex decisions, including efficient heuristics, outcome simulation, and information filtering.
- Insights into expert decision-making can inform the design of more effective clinical decision support tools tailored to task complexity.
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