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Initial User-Centred Design of an AI-Based Clinical Decision Support System for Primary Care.
Neff, Michaela Christina; Schaaf, Jannik; Noll, Richard; Holtz, Svea; Schütze, Dania; Köhler, Susanne Maria; Müller, Beate; Ahmadi, Najia; von Wagner, Michael; Storf, Holger.
Affiliation
  • Neff MC; Goethe University Frankfurt, University Hospital, Institute of Medical Informatics, Germany.
  • Schaaf J; Goethe University Frankfurt, University Hospital, Institute of Medical Informatics, Germany.
  • Noll R; Goethe University Frankfurt, University Hospital, Institute of Medical Informatics, Germany.
  • Holtz S; Goethe University Frankfurt, University Hospital, Institute of General Practice, Germany.
  • Schütze D; Goethe University Frankfurt, University Hospital, Institute of General Practice, Germany.
  • Köhler SM; Goethe University Frankfurt, University Hospital, Institute of General Practice, Germany.
  • Müller B; Institute of General Practice, University of Cologne, Germany.
  • Ahmadi N; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Germany.
  • von Wagner M; Goethe University Frankfurt, University Hospital, Executive Department for medical IT-Systems and digitalization, Germany.
  • Storf H; Goethe University Frankfurt, University Hospital, Institute of Medical Informatics, Germany.
Stud Health Technol Inform ; 310: 1051-1055, 2024 Jan 25.
Article in En | MEDLINE | ID: mdl-38269975
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / General Practitioners Type of study: Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / General Practitioners Type of study: Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: