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Initial User-Centred Design of an AI-Based Clinical Decision Support System for Primary Care.

Authors :
NEFF, Michaela Christina
SCHAAF, Jannik
NOLL, Richard
HOLTZ, Svea
SCHÜTZE, Dania
KÖHLER, Susanne Maria
MÜLLER, Beate
AHMADI, Najia
VON WAGNER, Michael
STORF, Holger
Source :
Studies in Health Technology & Informatics; 2023, Vol. 310, p1051-1055, 5p
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
310
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
175248935
Full Text :
https://doi.org/10.3233/SHTI231125