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

Ryo Fujimori 1, 2, MD;  Keibun Liu 2, 3, MD, PhD;  Shoko Soeno 2, 4, MD;  Hiromu Naraba 2, 5, MD;  Kentaro Ogura 1, 2;  Konan Hara 2, 6, MD, PhD;  Tomohiro Sonoo 2, 5, MD;  Takayuki Ogura 7, MD, PhD;  Kensuke Nakamura 5, MD, PhD;  Tadahiro Goto 2, MPH, MD, PhD

1 Faculty of Medicine, The University of Tokyo , Tokyo , JP

2 TXP Medical Co Ltd , Tokyo , JP

3 Critical Care Research Group, The Prince Charles Hospital , Brisbane , AU

4 Department of Palliative Care, Southern Tohoku General Hospital , Fukushima , JP

5 Department of Emergency and Critical Care Medicine, Hitachi General Hospital , Ibaraki , JP

6 Department of Economics, University of Arizona , Tucson, AZ, US

7 Department of Emergency and Critical Care Medicine, Saiseikai Utsunomiya Hospital , Tochigi , JP

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