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

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (37) Focus Groups and Qualitative Research for Human Factors Research (1220) Decision Support for Health Professionals (1539) Artificial Intelligence (2129) Clinical Information and Decision Making (1915)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57899, first published .
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Authors of this article:

Adriane Uihlein1 Author Orcid Image ;   Lisa Beissel2 Author Orcid Image ;   Anna Hanane Ajlani3, 4 Author Orcid Image ;   Marcin Orzechowski4 Author Orcid Image ;   Christoph Leinert2, 5 Author Orcid Image ;   Thomas Derya Kocar2, 5 Author Orcid Image ;   Carlos Pankratz1 Author Orcid Image ;   Konrad Schuetze1 Author Orcid Image ;   Florian Gebhard1 Author Orcid Image ;   Florian Steger4 Author Orcid Image ;   Marina Liselotte Fotteler2, 6 Author Orcid Image ;   Michael Denkinger2, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics Author Video

Journals

  1. Yang Y, Tu Z. Rethinking AI in the social sciences: insights from a systematic review of ageing research in English and Chinese literature. AI & SOCIETY 2025 View