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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Michaela Christina Neff - , University Hospital Frankfurt (Author)
  • Jannik Schaaf - , University Hospital Frankfurt (Author)
  • Richard Noll - , University Hospital Frankfurt (Author)
  • Svea Holtz - , University Hospital Frankfurt (Author)
  • Dania Schütze - , University Hospital Frankfurt (Author)
  • Susanne Maria Köhler - , University Hospital Frankfurt (Author)
  • Beate Müller - , University of Cologne (Author)
  • Najia Ahmadi - , Institute for Medical Informatics and Biometry (Author)
  • Michael Wagner - , University Hospital Frankfurt (Author)
  • Holger Storf - , University Hospital Frankfurt (Author)

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 languageEnglish
Pages (from-to)1051-1055
Number of pages5
JournalStudies in health technology and informatics
Volume310
Publication statusPublished - 25 Jan 2024
Peer-reviewedYes

External IDs

Scopus 85183584090

Keywords

Keywords

  • Humans, Artificial Intelligence, Decision Support Systems, Clinical, Intelligence, General Practitioners, Primary Health Care