TY  - JOUR
AU  - Garvey, Kim V
AU  - Thomas Craig, Kelly Jean
AU  - Russell, Regina
AU  - Novak, Laurie L
AU  - Moore, Don
AU  - Miller, Bonnie M
PY  - 2022
DA  - 2022/11/16
TI  - Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review
JO  - JMIR Med Inform
SP  - e37478
VL  - 10
IS  - 11
KW  - artificial intelligence
KW  - competency
KW  - clinical education
KW  - patient
KW  - digital health
KW  - digital tool
KW  - clinical tool
KW  - health technology
KW  - health care
KW  - educational framework
KW  - decision-making
KW  - clinical decision
KW  - health information
KW  - physician
AB  - Background: The use of artificial intelligence (AI)–based tools in the care of individual patients and patient populations is rapidly expanding. Objective: The aim of this paper is to systematically identify research on provider competencies needed for the use of AI in clinical settings. Methods: A scoping review was conducted to identify articles published between January 1, 2009, and May 1, 2020, from MEDLINE, CINAHL, and the Cochrane Library databases, using search queries for terms related to health care professionals (eg, medical, nursing, and pharmacy) and their professional development in all phases of clinical education, AI-based tools in all settings of clinical practice, and professional education domains of competencies and performance. Limits were provided for English language, studies on humans with abstracts, and settings in the United States. Results: The searches identified 3476 records, of which 4 met the inclusion criteria. These studies described the use of AI in clinical practice and measured at least one aspect of clinician competence. While many studies measured the performance of the AI-based tool, only 4 measured clinician performance in terms of the knowledge, skills, or attitudes needed to understand and effectively use the new tools being tested. These 4 articles primarily focused on the ability of AI to enhance patient care and clinical decision-making by improving information flow and display, specifically for physicians. Conclusions: While many research studies were identified that investigate the potential effectiveness of using AI technologies in health care, very few address specific competencies that are needed by clinicians to use them effectively. This highlights a critical gap. 
SN  - 2291-9694
UR  - https://medinform.jmir.org/2022/11/e37478
UR  - https://doi.org/10.2196/37478
UR  - http://www.ncbi.nlm.nih.gov/pubmed/36318697
DO  - 10.2196/37478
ID  - info:doi/10.2196/37478
ER  -