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

Formative Evaluation of Digital Health Interventions (1730) Clinical Information and Decision Making (1040) Adoption and Change Management of eHealth Systems (532) Decision Support for Health Professionals (853) Artificial Intelligence (822)

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 Fujimori 1, 2 Author Orcid Image ;   Keibun Liu 2, 3 Author Orcid Image ;   Shoko Soeno 2, 4 Author Orcid Image ;   Hiromu Naraba 2, 5 Author Orcid Image ;   Kentaro Ogura 1, 2 Author Orcid Image ;   Konan Hara 2, 6 Author Orcid Image ;   Tomohiro Sonoo 2, 5 Author Orcid Image ;   Takayuki Ogura 7 Author Orcid Image ;   Kensuke Nakamura 5 Author Orcid Image ;   Tadahiro Goto 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (20) Metrics

Journals

  1. Khan N, Nwafor Okoli C, Ekpin V, Attai K, Chukwudi N, Sabi H, Akwaowo C, Osuji J, Benavente L, Uzoka F. Adoption and utilization of medical decision support systems in the diagnosis of febrile Diseases: A systematic literature review. Expert Systems with Applications 2023;220:119638 View
  2. Gould D, Dowsey M, Spelman T, Bailey J, Bunzli S, Rele S, Choong P. Established and Novel Risk Factors for 30-Day Readmission Following Total Knee Arthroplasty: A Modified Delphi and Focus Group Study to Identify Clinically Important Predictors. Journal of Clinical Medicine 2023;12(3):747 View
  3. Fröhlich P, Mirnig A, Falcioni D, Schrammel J, Diamond L, Fischer I, Tscheligi M. Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems. Quality and User Experience 2022;7(1) View