Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study
Support regarding medical geriatric challenges and responsible handling of AI-based recommendations, as well as necessity for a holistic approach focused on usability, were the most important topics of health care professionals in surgery regarding development of an AI-CDSS for geriatric care. These findings, together with the wish to preserve the patient-caregiver relationship, will help set the focus for the ongoing development of AI-supported CDSS.
Authors
- Marcin Orzechowski (ORCID: https://orcid.org/0000-0003-4244-7989)
- Marina Fotteler (ORCID: https://orcid.org/0000-0002-1225-1857)
- Michael Denkinger (ORCID: https://orcid.org/0000-0002-8097-060X)
- Carlos Pankratz (ORCID: https://orcid.org/0000-0002-0438-537X)
- Thomas D. Kocar (ORCID: https://orcid.org/0009-0001-5842-5146)
- Florian Steger (ORCID: https://orcid.org/0000-0001-8108-1591)
- Florian Gebhard (ORCID: https://orcid.org/0009-0000-3279-8633)
- Christoph Leinert (ORCID: https://orcid.org/0000-0001-6638-1780)
- Konrad Schuetze (ORCID: https://orcid.org/0000-0002-6607-2539)
- Adriane Uihlein (ORCID: https://orcid.org/0009-0000-6469-0846)
- Anna Hanane Ajlani (ORCID: https://orcid.org/0009-0000-9305-9578)
- Lisa Beissel (ORCID: https://orcid.org/0009-0008-7943-9783)
Institutions
- Johannes Kepler University of Linz (AT)
- Universität Ulm (DE)
- Neu-Ulm University of Applied Sciences (DE)
- Agaplesion Bethesda Klinik (DE)
- University Hospital Ulm (DE)
Publication Details
- Journal
- JMIR Aging
- Published
- 2024-12-17
- DOI
- https://doi.org/10.2196/57899
- Citations
- 5
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Bundesministerium für Bildung und Forschung