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

Artificial Intelligence (2136) Registered Report (792) Infectious Diseases (non-STD/STI) (1727) Clinical Information and Decision Making (1920) Decision Support for Health Professionals (1543) Organizational Issues (222)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63377, first published .
Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study

Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study

Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study

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 Brunkhorst6 Author Orcid Image ;   Jürgen Wasem7 Author Orcid Image ;   Nikola Blase1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

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  2. Giebel G, Raszke P, Nowak H, Palmowski L, Adamzik M, Heinz P, Tokic M, Timmesfeld N, Brunkhorst F, Wasem J, Blase N. Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders. JMIR Medical Informatics 2025;13:e69688 View
  3. Hsieh P, Chiang H, Huang F, Chi W. The Effects of Virtual Reality on Hope and Travel Expectations in Healthy and Hospitalized Children: Quasi-Experimental Design Approach. Interactive Journal of Medical Research 2025;14:e65311 View
  4. Tolley C, Husband A. More alerts, less harm? Rethinking medication safety with AI. BMJ Quality & Safety 2025;34(12):785 View
  5. Wolde T, Bhardwaj V, Pandey V. Current Bioinformatics Tools in Precision Oncology. MedComm 2025;6(7) View
  6. Onur D, Özbakır Ç. Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics. Health Care Analysis 2025 View
  7. Kring T, Prasad S, Dadi S, Sokhn E, Franzmann E. A comparison of quality and readability of Artificial Intelligence chatbots in triage for head and neck cancer. American Journal of Otolaryngology 2025;46(5):104710 View
  8. Milosavljević I, Petrović I, Ilić A, Dabović D, Milovančev A, Remer G, Vuković V, Zdravković D, Stefanović M, Stojšić S, Balenović A, Lončar G, Tadić S, Jaraković M, Bjelić S, Čemerlić S, Bjelobrk M, Miljković T, Preveden A, Petrović M, Maletin S, Popov T, Todić V, Todić M, Vulin A, Čanković M, Andrić D, Šaponja D, Redžek A, Milosavljević A. Facilitators, barriers, and insights using an HFA‐PEFF‐based clinical decision support system: A proof‐of‐concept study. ESC Heart Failure 2025;12(5):3655 View
  9. Sheikh F, Marouf A, Rokne J, Alhajj R. Lightweight Deep Learning Models with Explainable AI for Early Alzheimer’s Detection from Standard MRI Scans. Diagnostics 2025;15(21):2709 View
  10. Goldberg M, Eisenkolb V, Aftahy A, Negwer C, Meyer H, Gempt J, Meyer B, Wagner A. Validity of evidence-based recommendations by a large language model for interdisciplinary board decisions in neurooncology: An explorative study and critical evaluation. DIGITAL HEALTH 2025;11 View
  11. Papalexandris S, Fotiadis T, Seremeti L, Folinas D, Anastasiadou S. Healthcare Decision-Making Ecosystem Deengineering. Cureus 2025 View