RT Journal Article
SR Electronic
T1 Identifying priorities for artificial intelligence and primary care in ontario: A multi-stakeholder engagement event
JF The Annals of Family Medicine
JO Ann Fam Med
FD American Academy of Family Physicians
SP 2943
DO 10.1370/afm.20.s1.2943
VO 20
IS Supplement 1
A1 Kueper, Jaky
A1 Lizotte, Dan
A1 Brown, Judith
A1 Ryan, Bridget
A1 Meredith, Leslie
A1 Dang, Janet
A1 Stewart, Moira
A1 Zwarenstein, Merrick
A1 Leger, Daniel
A1 McKay, Scott
A1 Terry, Amanda
A1 Beleno, Ron
YR 2022
UL http://www.annfammed.org/content/20/Supplement_1/2943.abstract
AB CONTEXT: Artificial intelligence (AI) is increasingly being recognized as having potential importance to primary care (PC). However, there is a gap in our understanding about where to focus efforts related to AI for PC settings, especially given the current COVID-19 pandemic.OBJECTIVE: To identify current priority areas for AI and PC in Ontario, Canada.STUDY DESIGN: Multi-stakeholder engagement event with facilitated small and large group discussions. A nominal group technique process was used to identify and rank challenges in PC that AI may be able to support. Mentimeter software was used to allow real-time, anonymous and independent ranking from all participants. A final list of priority areas for AI and PC, with key considerations, was derived based on ranked items and small group discussion notes.SETTING: Ontario, Canada.POPULATION STUDIED: Digital health and PC stakeholders.OUTCOME MEASURES: N/A.RESULTS: The event included 8 providers, 8 patient advisors, 4 decision makers, 3 digital health stakeholders, and 12 researchers. Nine priority areas for AI and PC were identified and ranked, which can be grouped into those intended to support physician (preventative care and risk profiling, clinical decision support, routine task support), patient (self-management of conditions, increased mental health care capacity and support), or system-level initiatives (administrative staff support, management and synthesis of information sources); and foundational areas that would support work on other priorities (improved communication between PC and AI stakeholders, data sharing and interoperability between providers). Small group discussions identified barriers and facilitators related to the priorities, including data availability, quality, and consent; legal and device certification issues; trust between people and technology; equity and the digital divide; patient centredness and user-centred design; and the need for funding to support collaborative research and pilot testing. Although identified areas do not explicitly mention COVID-19, participants were encouraged to think about what would be feasible and meaningful to accomplish within a few years, including considerations of the COVID-19 pandemic and recovery phases.CONCLUSIONS: A one-day multi-stakeholder event identified priority areas for AI and PC in Ontario. These priorities can serve as guideposts to focus near-term efforts on the planning, development, and evaluation of AI for PC.