Article Figures & Data
Figures
- Figure 1
PRISMA flow diagram.
AI = artificial intelligence; PRISMA = Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
a“Not primary care” used as exclusion criterion when multiple criteria applied.
- Figure 2
Overall purpose of studies.
- Figure 3
Primary care functions to be supported with artificial intelligence.
aGiven combinations of functions evaluated by fewer than 5 studies. (Combinations evaluated by 5 or more studies are shown above.)
- Figure 4
Health conditions studied.
COPD = chronic obstructive pulmonary disease.
Note: Includes only the 387 studies for which target condition(s) could be identified.
Tables
Author Appointment Category Studies, No. (%)
(N = 405)Primary care and TEM 27 (6.7) Primary care and no TEM 30 (7.4) TEM and no primary care 187 (46.2) Neither TEM nor primary care 161 (39.8) TEM = technology, engineering, and math.
Note: To be included in a row count, a study must have had at least 1 author with an appointment in the category or categories indicated.
Supplemental Appendixes
Supplemental Appendixes
Files in this Data Supplement:
- Supplemental data: Appendixes - PDF file
The Article in Brief
Artificial Intelligence and Primary Care Research: A Scoping Review
Jacqueline K. Kueper , and colleagues
Background Artificial intelligence methods are being utilized in radiology, cardiology and other medical specialty fields to quickly and accurately process large quantities of health data to improve the diagnostic and treatment power of health care teams. Compared to other medical specialty fields, primary care physicians deal with a very broad spectrum of illnesses, taking a person-centric approach to care, with fewer diagnostic instruments or tests available. The nature of primary care may pose unique challenges to the meaningful application of AI.
What This Study Found A comprehensive review of 405 studies led by researchers at Western University in Ontario shows that work on AI for primary care is at an early stage of maturity. The scoping review summarizes major trends in primary care AI.
Implications
- "For the field to mature," the authors note, "value must be placed both on developing rigorous AI and on identifying potential impacts...on care delivery and longer-term health outcomes."
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