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

Formative Evaluation of Digital Health Interventions (2491) Clinical Information and Decision Making (1434) Adoption and Change Management of eHealth Systems (731) Decision Support for Health Professionals (1210) Artificial Intelligence (1421)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36501, first published .
Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Authors of this article:

Ryo Fujimori1, 2 Author Orcid Image ;   Keibun Liu2, 3 Author Orcid Image ;   Shoko Soeno2, 4 Author Orcid Image ;   Hiromu Naraba2, 5 Author Orcid Image ;   Kentaro Ogura1, 2 Author Orcid Image ;   Konan Hara2, 6 Author Orcid Image ;   Tomohiro Sonoo2, 5 Author Orcid Image ;   Takayuki Ogura7 Author Orcid Image ;   Kensuke Nakamura5 Author Orcid Image ;   Tadahiro Goto2 Author Orcid Image
Article Authors Cited by (35) Tweetations (18) Metrics

Journals

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  15. Stewart J, Freeman S, Eroglu E, Dumitrascu N, Lu J, Goudie A, Sprivulis P, Akhlaghi H, Tran V, Sanfilippo F, Celenza A, Than M, Fatovich D, Walker K, Dwivedi G. Attitudes towards artificial intelligence in emergency medicine. Emergency Medicine Australasia 2024;36(2):252 View
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  17. Shevtsova D, Ahmed A, Boot I, Sanges C, Hudecek M, Jacobs J, Hort S, Vrijhoef H. Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study. JMIR Human Factors 2024;11:e47031 View
  18. Giddings R, Joseph A, Callender T, Janes S, van der Schaar M, Sheringham J, Navani N. Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. The Lancet Digital Health 2024;6(2):e131 View
  19. Rony M, Kayesh I, Bala S, Akter F, Parvin M. Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study. Heliyon 2024;10(4):e25718 View
  20. Dingel J, Kleine A, Cecil J, Sigl A, Lermer E, Gaube S. Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology. Journal of Medical Internet Research 2024;26:e57224 View
  21. Cheng R, Aggarwal A, Chakraborty A, Harish V, McGowan M, Roy A, Szulewski A, Nolan B. Implementation considerations for the adoption of artificial intelligence in the emergency department. The American Journal of Emergency Medicine 2024;82:75 View
  22. Rane N, Choudhary S, Rane J. Acceptance of artificial intelligence: key factors, challenges, and implementation strategies. SSRN Electronic Journal 2024 View
  23. Raj A, Allababidi A, Kayed H, Gerken A, Müller J, Schoenberg S, Zöllner F, Rink J. Streamlining Acute Abdominal Aortic Dissection Management—An AI-based CT Imaging Workflow. Journal of Imaging Informatics in Medicine 2024;37(6):2729 View
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  25. Kamel Rahimi A, Pienaar O, Ghadimi M, Canfell O, Pole J, Shrapnel S, van der Vegt A, Sullivan C. Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research 2024;26:e49655 View
  26. Rony M, Numan S, Akter K, Tushar H, Debnath M, Johra F, Akter F, Mondal S, Das M, Uddin M, Begum J, Parvin M. Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare. Heliyon 2024;10(17):e36702 View
  27. El Tantawi M, Ammar N, Mariño R, Uribe S, Manton D, Hugo F, Clément C, Sim C, Maret D, Kopycka-Kedzierawski D, Mbende E, Kruger E, Lan R, Doghri L, Castelaz M, Alam M, Ibiyemi O, Naidoo S, Schwarz E, Priya H, Braga M, Giraudeau N, Foláyan M. Developing the teledentistry acceptance survey for dentists – TAS-D: a Delphi study. BMC Oral Health 2024;24(1) View
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