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

Artificial Intelligence (2202) Registered Report (810) Infectious Diseases (non-STD/STI) (1733) Clinical Information and Decision Making (1960) Decision Support for Health Professionals (1570) Organizational Issues (227)

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 (17) Tweetations Metrics

Journals

  1. Lo Bianco G, Cascella M, Li S, Day M, Kapural L, Robinson C, Sinagra E. Reliability, Accuracy, and Comprehensibility of AI-Based Responses to Common Patient Questions Regarding Spinal Cord Stimulation. Journal of Clinical Medicine 2025;14(5):1453 View
  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
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  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
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  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
  12. Mohamed Y, Bashir M, Khanan A, Hakro D. The Feasibility and Acceptability of AI-Based eGuide for Healthcare Centers in Oman. Information 2025;16(12):1093 View
  13. Olawade D, Ighodaro O, Erhieyovwe E, Hankamo N, Hamza I, Analikwu C. The role of digital twin technology in modern emergency care. International Journal of Medical Informatics 2026;208:106229 View
  14. İçen S, Köken A. Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye. BMC Medical Ethics 2025;26(1) View
  15. Фролов Е, Ермолаева Д, Мокшин К, Шемонаев Д, Фролов М, Жабицкий М. Модульная переработка нормативных текстов как метод повышения релевантности ответов большой языковой модели: пилотное исследование на примере клинических рекомендаций по артериальной гипертензии. International Journal of Open Information Technologies 2025;13(8):94 View
  16. Димитров К. Изкуствен интелект и системи за клинична подкрепа при вземане на решения в диагностицирането на редки болести. Редки болести и лекарства сираци 2026;16(3):41 View

Conference Proceedings

  1. Xiang B. Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences. Artificial Intelligence-Clinical Decision Support Systems: Integrating Intelligent Evidence Retrieval with Advanced AI for Personalized Healthcare View