PT  - JOURNAL ARTICLE
AU  - Garies, Stephanie
AU  - Liang, Simon
AU  - Weyman, Karen
AU  - Durant, Steve
AU  - Ramji, Noor
AU  - Alhaj, Mo
AU  - Pinto, Andrew
TI  - Artificial intelligence in primary care practice
AID  - 10.46747/cfp.700708e102
DP  - 2024 Jul 01
TA  - Canadian Family Physician
PG  - e102--e109
VI  - 70
IP  - 7-8
4099  - http://www.cfp.ca/content/70/7-8/e102.short
4100  - http://www.cfp.ca/content/70/7-8/e102.full
SO  - Can Fam Physician2024 Jul 01; 70
AB  - Objective To understand the perspectives of primary care clinicians and health system leaders on the use of artificial intelligence (AI) to derive information about patients’ social determinants of health.Design Qualitative study.Setting Ontario, Canada.Methods Semistructured, 30-minute virtual interviews were conducted with eligible participants across Ontario wherein they were asked about their perceptions of using AI to derive social data for patients. A descriptive content analysis was used to elicit themes from the data.Main findings A total of 12 interviews were conducted with 7 family physicians, 3 clinical team members of various health professions, and 2 health system leaders. Five main themes described the current state of social determinants of health information, perceived benefits of and concerns with using AI to derive social data, how participants would want to see and use AI-derived social data, and suggestions for ethical principles that should underpin the development of this AI tool.Conclusion Most participants were enthusiastic about the possibility of using AI to derive social data for patients in primary care but noted concerns that should be addressed first. These findings can guide the development of AI-based tools for use in primary care settings.