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, Japan

2 TXP Medical Co Ltd, Tokyo, Japan

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

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

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

6 Department of Economics, University of Arizona, Tucson, AZ, United States

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

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