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, US

2 Department of Anesthesiology, School of Medicine, Vanderbilt University, Nashville, TN, US

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

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

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

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

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

*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
  • US
  • Phone: 1 970-261-3366
  • Email: craigk@aetna.com