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Cognitive Maps to Visualise Clinical Cases in Handovers. Design, Implementation, Usability, and Attractiveness
D Flemming, M Przysucha, U Hübner1
1Prof. Dr. Ursula Hübner, P.O. Box 1940, 49009 Osnabrueck, Germany, E-mail. u.huebner@hs-osnabrueck.de.
Cognitive maps offer a visual alternative to traditional checklists for clinical handovers, improving information presentation during shift changes. This approach enhances communication and case overview for healthcare professionals.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Cognitive Psychology
Background:
- Clinical handovers are cognitively demanding due to time constraints and information intensity.
- Current checklist-based handover tools do not meet user requirements for presenting complex clinical information.
- Existing methods often fail to provide an intuitive overview of patient cases.
Purpose of the Study:
- To develop a novel concept for visualising clinical case overviews as an alternative to checklist formats.
- To implement this visualisation concept within an electronic health record (EHR) system for clinical handovers.
- To evaluate the usability and attractiveness of the developed visualisation tool among clinicians.
Main Methods:
- Developed a concept based on cognitive maps and Gestalt principles for pictorial case overviews.
- Integrated the cognitive map application into an openEHR-based handover system.
- Conducted usability and attractiveness testing with experienced clinicians (n=28 for usability, n=26 for attractiveness).
Main Results:
- A novel cognitive map concept was developed and implemented in an openEHR handover system.
- The system provides a pictorial overview of clinical cases, aiding information synthesis.
- Clinicians rated the tool highly for task suitability, attractiveness, and pragmatism.
Conclusions:
- Cognitive maps are proposed as an effective method for visualising clinical cases during time-limited handovers.
- This visual approach addresses the limitations of textual, checklist-like presentations.
- The developed tool supports pre-handover, handover, and post-handover phases effectively.
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