Initial User-Centred Design of an AI-Based Clinical Decision Support System for Primary Care
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
A clinical decision support system based on different methods of artificial intelligence (AI) can support the diagnosis of patients with unclear diseases by providing tentative diagnoses as well as proposals for further steps. In a user-centred-design process, we aim to find out how general practitioners envision the user interface of an AI-based clinical decision support system for primary care. A first user-interface prototype was developed using the task model based on user requirements from preliminary work. Five general practitioners evaluated the prototype in two workshops. The discussion of the prototype resulted in categorized suggestions with key messages for further development of the AI-based clinical decision support system, such as the integration of intelligent parameter requests. The early inclusion of different user feedback facilitated the implementation of a user interface for a user-friendly decision support system.
Details
Original language | English |
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Pages (from-to) | 1051-1055 |
Number of pages | 5 |
Journal | Studies in health technology and informatics |
Volume | 310 |
Publication status | Published - 25 Jan 2024 |
Peer-reviewed | Yes |
External IDs
Scopus | 85183584090 |
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Keywords
Keywords
- Humans, Artificial Intelligence, Decision Support Systems, Clinical, Intelligence, General Practitioners, Primary Health Care