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User-Centered Development of Explanation User Interfaces for AI-Based CDSS: Lessons Learned from Early Phases.
Ian-C Jung1, Maria Zerlik1, Katharina Schuler1
1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
Studies in Health Technology and Informatics
|August 23, 2024
Summary
Physicians' explanation needs for AI clinical decision support systems varied significantly based on how they were identified. Early context analysis differed from later questionnaire responses, emphasizing careful user-centered design.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Artificial Intelligence in Healthcare
Background:
- User-centered design (UCD) is crucial for developing effective AI-based clinical decision support systems (AI-CDSS).
- Understanding physician explanation needs is vital for the adoption and safe use of AI-CDSS in intensive care units (ICUs).
Purpose of the Study:
- To report lessons learned from the early UCD phases of an explanation user interface for an AI-CDSS in the ICU.
- To identify and verify physician explanation needs in a multi-center, multi-country project.
Main Methods:
- Context analysis and user requirements prioritization in an initial center.
- Questionnaire responses from N=9 physicians after a multi-center project workshop.
Main Results:
- Explanation needs identified via context analysis differed from those identified via questionnaires.
- Physician explanation needs varied depending on the elicitation method and project phase.
Conclusions:
- Caution is advised when eliciting explanation needs during the UCD process for AI-CDSS.
- Multi-center, multi-country projects require robust methods to capture diverse user needs accurately.
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