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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
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Supporting novice clinicians cognitive strategies: System design perspective
Roosan Islam1, Jeanmarie Mayer2, Justin Clutter3
1University of Utah, Salt Lake City, UT, USA.
Summary
Novice infectious disease clinicians manage complex cases using specific cognitive strategies, including dealing with uncertainty and oversimplification. Understanding these strategies can improve health information technology (HIT) for better clinical decision support.
Area of Science:
- Medical Informatics
- Cognitive Science
- Infectious Diseases
Background:
- Infectious diseases (ID) pose significant threats due to evolving microbes and viruses.
- Clinicians in ID face daily diagnostic and treatment uncertainties.
- Current health information technology (HIT) systems do not differentiate information delivery based on clinician expertise levels.
Purpose of the Study:
- To identify cognitive strategies used by novice ID clinicians in managing complex cases.
- To inform the design of improved HIT systems and decision support tools.
Main Methods:
- Qualitative study involving interviews with 14 ID experts.
- Experts described how novice clinicians would approach complex ID cases.
- Analysis of interview transcripts to identify key cognitive themes.
Main Results:
- Four major themes emerged regarding novice ID clinicians' cognitive strategies:
- A) Difficulty in dealing with uncertainty.
- B) Lack of advanced macrocognition.
- C) Tendency to oversimplify problems using heuristics.
- D) Challenges in managing peer pressure.
Conclusions:
- Novice clinicians employ distinct cognitive strategies when managing complex infectious disease cases.
- Future HIT and electronic health record (EHR) decision support tools should be designed to align with these identified cognitive strategies.
- This research provides a foundation for developing cognitively supportive healthcare systems for novice clinicians.
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