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

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (118) Clinical Information and Decision Making (3797) Decision Support for Health Professionals (2283) Focus Groups and Qualitative Research for Human Factors Research (1573) Artificial Intelligence (4882)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57899, first published .
Medical team discusses data on a monitor, showcasing healthcare technology and innovation.

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 (10) 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 2026;41(2):1401 View
  2. Leinert C, Brefka S, Fotteler M, Mueller-Stierlin A, Gebhard F, Rahbari N, Bolenz C, Kestler H, Dallmeier D, Denkinger M, Kocar T. Standard-of-care vs expert-recommended discharge destinations for geriatric surgical inpatients: a prospective observational cohort study. European Geriatric Medicine 2025;17(1):323 View
  3. Rezaeian O, Ghorbanichemazkati E, Bayrak A, Asan O. Clinician perspectives on trust and adoption of AI in breast cancer diagnosis. IISE Transactions on Healthcare Systems Engineering 2026;16(1):32 View
  4. Basile G, Bolcato V, Bambagiotti G, Bianco Prevot L, Tronconi L. When Intuition Meets the Algorithm: Medico-Legal Implications of Artificial Intelligence-Driven Decision-Making in Orthopedics. Bioengineering 2026;13(2):227 View
  5. Borat S, Chowdhury S. Artificial intelligence-driven clinical decision support systems for precision oncology: A comprehensive review. In Silico Research in Biomedicine 2026;2:100265 View
  6. Bose S, Prakash A, Prusty A, Verma R, Padmavathy K, Iragamreddy V. Artificial Intelligence (AI) Supported Decision-Making in Intensive Care Units: Implications for Nursing and Medical Practice. Cureus 2026 View
  7. Veisimankali M, Alimohammadzadeh K, Begloo-Amin G, Bahadori M, Abbaszadeh A. Reimagining nursing practice in the era of AI: a qualitative systematic review and meta-synthesis of nurses’ lived experiences. Journal of Health, Population and Nutrition 2026;45(1) View
  8. Zhang Q, Yan R, Liu X, Li W, Xue X. Performance Comparison Between Domestic and International Large Language Models in Patient Education for Chinese Patients with Lumbar Disc Herniation: A Cross-Sectional Study. DIGITAL HEALTH 2026;12 View
  9. Wang Z, Hu J, Zheng X. Stakeholder perspectives on AI-assisted pain assessment in pediatrics: A qualitative study of shared needs and divergent priorities. The Journal of Pain 2026;49:106415 View
  10. Durdova N, Schmidt M, Schröder H, Thoma P, Groß D, Wilhelmy S. Artificial Intelligence in Prehospital Tele-Emergency Medicine: A Survey of Acceptance and Attitudes. Healthcare 2026;14(17):2753 View