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

Decision Support for Health Professionals (1594) Registered Report (817) Artificial Intelligence (2252) mHealth in a Clinical Setting (760) Machine Learning (2173) Focus Groups and Qualitative Research for Human Factors Research (1274) E-Health / Health Services Research and New Models of Care (762)

Published on in Vol 13 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69688, first published .
Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Authors of this article:

Godwin Denk Giebel1 Author Orcid Image ;   Pascal Raszke1 Author Orcid Image ;   Hartmuth Nowak2, 3 Author Orcid Image ;   Lars Palmowski2 Author Orcid Image ;   Michael Adamzik2 Author Orcid Image ;   Philipp Heinz4 Author Orcid Image ;   Marianne Tokic5 Author Orcid Image ;   Nina Timmesfeld5 Author Orcid Image ;   Frank Martin Brunkhorst6 Author Orcid Image ;   Jürgen Wasem1 Author Orcid Image ;   Nikola Blase1 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. 田中 晴, 神田 光. 消化器癌領域におけるAI搭載モバイルアプリの現状と課題. The Japanese Journal of SURGICAL METABOLISM and NUTRITION 2025;59(5):111 View
  2. Gülten E, Derin O, Arslan E, Atasoy Tahtasakal C, Temoçin F, Memişoğlu F, Aktuğ Demir N. From awareness to action: A nationwide survey of infectious diseases and clinical microbiology physicians’ perspectives on artificial intelligence in clinical practice. DIGITAL HEALTH 2025;11 View
  3. AYYALASOMAYAJULA V, VEEN K, WOLTERINK J, SMIT N, JESSEN R, PLOEM C, YEUNG K. Artificial intelligence-based decision support systems and their role in vascular surgery and clinical practice. The Journal of Cardiovascular Surgery 2025;66(6) View
  4. Äng B, Bohman T, Grimby-Ekman A, Ärnlöv J, Thomas I, Nyberg R, Tseli E, Vixner L, Hagelberg M, LoMartire R. Advancing AI-based clinical decision support for complex interventions requires an operationalized framework. PAIN Reports 2026;11(1) View
  5. Raszke P, Giebel G, Wasem J, Adamzik M, Nowak H, Palmowski L, Heinz P, Timmesfeld N, Tokic M, Brunkhorst F, Blase N. Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review. Journal of Medical Internet Research 2026;28:e76772 View
  6. Giebel G, Raszke P, Tokic M, Palmowski L, Timmesfeld N, Nowak H, Adamzik M, Heinz P, Mreyen S, Brunkhorst F, Wasem J, Buchner F, Blase N. Attitude and perception toward artificial intelligence among German physicians with intensive care experience: a survey study. Frontiers in Health Services 2026;5 View

Conference Proceedings

  1. Nassra I, Capella J. 2025 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). Big Data Infrastructure and Analytics Framework for Next-Generation Smart Healthcare Systems View