This paper is in the following e-collection/theme issue:

Consumer & Patient Education and Shared-Decision Making (769) Adoption and Change Management of eHealth Systems (808) Design and Usability of Clinical Software and EHRs (304) Design of Processes and Workflows (145) Quality Improvement (276) Decision Support for Health Professionals (1354) E-Health / Health Services Research and New Models of Care (617)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55717, first published .
Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study

Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study

Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study

Authors of this article:

Florian Funer1, 2 Author Orcid Image ;   Diana Schneider3 Author Orcid Image ;   Nils B Heyen3 Author Orcid Image ;   Heike Aichinger3 Author Orcid Image ;   Andrea Diana Klausen4 Author Orcid Image ;   Sara Tinnemeyer2 Author Orcid Image ;   Wenke Liedtke5, 6 Author Orcid Image ;   Sabine Salloch2 Author Orcid Image ;   Tanja Bratan3 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Funer F, Tinnemeyer S, Liedtke W, Salloch S. Clinicians’ roles and necessary levels of understanding in the use of artificial intelligence: A qualitative interview study with German medical students. BMC Medical Ethics 2024;25(1) View
  2. Aljarboa S, Alaya B, Al-Ajlan A, Miah S. CDSS Adoption and the Role of Artificial Intelligence in Saudi Arabian Primary Healthcare. Informatics in Medicine Unlocked 2024:101596 View
  3. Hildt E. What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach. Bioengineering 2025;12(4):375 View
  4. Rodrigues D, Jasmins C, Ladeiras-Lopes R, Patrao L, Rodrigues E. Personalized Digital Care Pathways Enable Enhanced Patient Management as Perceived by Health Care Professionals: Mixed-Methods Study. JMIR Human Factors 2025;12:e68581 View
  5. Schneider D, Liedtke W, Klausen A, Lipprandt M, Funer F, Bratan T, Heyen N, Aichinger H, Langanke M. Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS. DIGITAL HEALTH 2025;11 View