Table 3.

Summary of program characteristics (N=13).

Characteristic			Frequency, n (%)		References
Program type
	Workshop	2 (15)		[49,50]
	Fellowship	3 (23)		[32,59]
	Biomedical informatics course	2 (15)		[35,39]
	Data science course	2 (8)		[59,61]
	Joint course-based program	1 (8)		[59]
	Educational summit	1 (8)		[62]
	Certificate program	1 (8)		[43]
	Artificial Intelligence Journal Club	1 (8)		[63]
Program setting
	Medical school	6 (46)		[39,43,59,61,62]
	Academic hospital	4 (31)		[32,35,59]
	National	1 (8)		[49]
	International	2 (15)		[50,63]
Program length
	>1 year	2 (15)		[43,61]
	>1 month	2 (15)		[39,63]
	>1 day	1 (8)		[50]
	≤1 day	2 (15)		[49,62]
	Not reported	6 (46)		[32,35,59]
Program audience
	Health care professionals	12 (92)		[32,35,39,43,49,50,59,61-63]
	Researchers or clinician scientists	2 (15)		[59,62]
	Health care administrators	1 (8)		[62]
	Other health disciplines	1 (8)		[63]
Continuum of learninga
	Undergraduate medical education	5 (39)		[39,43,59,62]
	Postgraduate medical education	8 (62)		[32,35,49,50,62,63]
Program objectivesb
	Cognitive or psychomotor	10 (77)		[32,35,39,43,49,50,59,61,63]
	Affective	1 (8)		[39]
	Both	2 (15)		[59,62]
Program methods
	Didactic	9 (69)		[32,35,39,43,49,50,59,61,62]
	Workshop	2 (15)		[49,50]
	Case-based	2 (15)		[49,50]
	Discussions	2 (15)		[49,62]
	Experiential learning	5 (39)		[43,49,59]
	Web-based	3 (23)		[39,61,63]
Number of methods used
	1 method	5 (39)		[32,35,59,63]
	2 methods	5 (39)		[39,43,59,61,62]
	≥3 methods	2 (15)		[49,50]
Study outcomesc
	Level 1	3 (23)		[39,49,50]
	Level 2a	3 (23)		[49,50,62]
	Level 2b	2 (15)		[35,62]
	None	8 (62)		[32,43,59,61,63]

^aThere are no continuing medical education programs.

^bCategorized based on the domains identified in the taxonomy for learning formulated by Bloom [20].

^cCategorized based on the education outcomes identified in the Kirkpatrick-Barr Framework [21].