TY - JOUR T1 - Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres JF - The Journal of the American Board of Family Medicine JO - J Am Board Fam Med DO - 10.3122/jabfm.2022.220177R2 SP - jabfm.2022.220177R2 AU - Danielle M. Nash AU - Cathy Thorpe AU - Judith Belle Brown AU - Jacqueline K. Kueper AU - Jennifer Rayner AU - Daniel J. Lizotte AU - Amanda L. Terry AU - Merrick Zwarenstein Y1 - 2023/03/22 UR - http://www.jabfm.org/content/early/2023/03/21/jabfm.2022.220177R2.abstract N2 - Purpose: To understand staff and health care providers' views on potential use of artificial intelligence (AI)-driven tools to help care for patients within a primary care setting.Methods: We conducted a qualitative descriptive study using individual semistructured interviews. As part of province-wide Learning Health Organization, Community Health Centres (CHCs) are a community-governed, team-based delivery model providing primary care for people who experience marginalization in Ontario, Canada. CHC health care providers and staff were invited to participate. Interviews were audio-recorded and transcribed verbatim. We performed a thematic analysis using a team approach.Results: We interviewed 27 participants across 6 CHCs. Participants lacked in-depth knowledge about AI. Trust was essential to acceptance of AI; people need to be receptive to using AI and feel confident that the information is accurate. We identified internal influences of AI acceptance, including ease of use and complementing clinical judgment rather than replacing it. External influences included privacy, liability, and financial considerations. Participants felt AI could improve patient care and help prevent burnout for providers; however, there were concerns about the impact on the patient-provider relationship.Conclusions: The information gained in this study can be used for future research, development, and integration of AI technology. ER -