In JMIR medical informatics ; h5-index 23.0
BACKGROUND : The use of artificial intelligence (AI)-based tools in the care of individual patients and patient populations is rapidly expanding.
OBJECTIVE : To systematically identify research on provider competencies needed for 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 healthcare professionals (e.g., 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 in humans with abstracts, and settings in the United States.
RESULTS : The searches identified 3,476 records, of which four met inclusion criteria. These studies described 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 four measured clinician performance in terms of the knowledge, skills, or attitudes needed to understand and effectively use the new tools being tested. These four 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 healthcare, very few address specific competencies that are needed by clinicians to use them effectively. This highlights a critical gap.
CLINICALTRIAL :
Garvey Kim V, Thomas Craig Kelly Jean, Russell Regina, Novak Laurie L, Moore Don, Miller Bonnie M
2022-Oct-25
