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Development and expert inspections of the user interface for a primary care decision support system
Michaela Christina Neff1, Dania Schütze2, Svea Holtz2
1Goethe University Frankfurt, University Medicine, Institute of Medical Informatics, Germany.
International Journal of Medical Informatics
|October 16, 2024
Summary
This study developed a user-friendly clinical decision support system prototype for primary care diagnosis. Expert usability inspections identified issues, leading to improvements and ensuring the system effectively supports key diagnostic tasks.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Primary Care Medicine
Background:
- General practitioners face challenges diagnosing complex conditions.
- Clinical decision support systems (CDSS) can aid primary care diagnosis if user-friendly.
- Early usability assessment is crucial for effective CDSS development.
Purpose of the Study:
- To develop a high-fidelity user interface (UI) prototype for a primary care CDSS.
- To focus on diagnostic support for unclear diseases.
- To ensure high usability through early expert inspections.
Main Methods:
- Iterative UI prototype development based on research and guidelines.
- Three heuristic walkthroughs with domain experts over 12 weeks.
- Inspections included task-based assessments and free exploration using usability heuristics.
- Five domain experts evaluated the prototype against a derived task model.
Main Results:
- A high-fidelity, clickable UI prototype was created, supporting all six defined tasks.
- 196 usability issues (minor to severe) were identified across three inspections.
- Identified issues informed continuous prototype adjustment and improvement.
- All primary diagnostic tasks were successfully completed despite identified usability issues.
Conclusions:
- Heuristic walkthroughs are effective for optimizing user-centered CDSS development.
- Early usability inspections ensure CDSS suitability for critical healthcare tasks.
- This approach enhances the development of efficient and user-friendly diagnostic tools for primary care.
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