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Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95472, first published .
Doctor uses stethoscope to interact with digital healthcare icons and data visualization

Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study

Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study

Meghana Darla   1, 2 , BDS, MS ;   Danielle Miltz   3 , PA-C ;   Khushboo Chandnani   2 , MS ;   Saptarshi Purkayastha   2 , PhD ;   John W Diehl   4 , MD ;   Sivasubramanium V Bhavani   5 , MS, MD

1 Department of Otolaryngology, School of Medicine, Emory University, Atlanta, GA, United States

2 Department of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University, Indianapolis, IN, United States

3 Surgical Transplant Intensive Care Unit, Emory Critical Care Center, Emory Healthcare, Atlanta, GA, United States

4 Department of Emergency Medicine, School of Medicine, Emory University, Atlanta, GA, United States

5 Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States

Corresponding Author:

  • Meghana Darla, BDS, MS
  • Department of Otolaryngology
  • School of Medicine, Emory University
  • Emory University Hospital Midtown, 550 Peachtree St NE, Suite 1135
  • Atlanta, GA 30324
  • United States
  • Phone: 1 9087580993
  • Email: darlameghana1999@gmail.com