Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37478, first published .
Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Kim V Garvey   1, 2 * , MLIS, PhD ;   Kelly Jean Thomas Craig   3, 4 * , PhD ;   Regina Russell   5 , MEd, MA, PhD ;   Laurie L Novak   6, 7 , MHSA, PhD ;   Don Moore   5 , PhD ;   Bonnie M Miller   1, 5 , MMHC, MD

1 Center for Advanced Mobile Healthcare Learning, Vanderbilt University Medical Center, Nashville, TN, United States

2 Department of Anesthesiology, School of Medicine, Vanderbilt University, Nashville, TN, United States

3 Clinical Evidence Development, Aetna Medical Affairs, CVS Health, Hartford, CT, United States

4 Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States

5 Department of Medical Education and Administration, School of Medicine, Vanderbilt University, Nashville, TN, United States

6 Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, United States

7 Center of Excellence in Applied Artificial Intelligence, Vanderbilt University Medical Center, Nashville, TN, United States

*these authors contributed equally

Corresponding Author:

  • Kelly Jean Thomas Craig, PhD
  • Clinical Evidence Development
  • Aetna Medical Affairs
  • CVS Health
  • 151 Farmington Avenue
  • RC31
  • Hartford, CT, 06156
  • United States
  • Phone: 1 970-261-3366
  • Email: craigk@aetna.com