Co-Defining Digital Health and Artificial Intelligence Priorities for First Nations People with Disabilities and Aging Populations: A Community-Engaged Gathering in Manitoba, Canada

This community-engaged qualitative study co-defined digital health and artificial intelligence (AI) priorities with First Nations communities in Manitoba, Canada, including those with disabilities. Grounded in Indigenous research methodologies and community-based participatory research, the project responded to persistent inequities in rehabilitation and health service access shaped by geography, colonial legacies, and jurisdictional fragmentation. These inequities are especially important in the context of aging, as older adults and Elders may experience compounded barriers related to disability, chronic conditions, mobility limitations, and digital exclusion. Over approximately 12 months, an interdisciplinary team consisting of First Nations scholars and partners, disability organizations, clinicians, and researchers conducted relationship-building visits and meetings with First Nations leadership, Elders/Knowledge Keepers, health providers, and community members to inform the design of a Gathering focused on disability, digital health, and AI. A one-day community-engaged Gathering was held on Treaty 1 and 2 Territory in Winnipeg and convened approximately 70 participants from multiple First Nations communities and disability/health organizations. Five facilitated roundtables explored: (1) health and research priorities for First Nations persons with disabilities; (2) primary care and disabilities; (3) digital access and cultural safety; (4) culturally safe and ethical AI use; and (5) health system challenges, disability, and digital health. Data consisted of facilitator-produced, de-identified table summaries, facilitator reflection forms, and participant-validated plenary notes; no recordings or individual sociodemographic data were collected. Using qualitative description and team-based content analysis, three interrelated domains emerged: (1) relationships, identity, trust, and cultural safety; (2) system, infrastructure, and equity conditions required for accessible care and digital inclusion (e.g., connectivity “dead zones,” device access, transport, and culturally safe services); and (3) opportunities, risks, and governance principles for AI and data use (e.g., AI literacy, privacy, bias, Indigenous data sovereignty, and Nation-specific governance). Findings emphasize that equitable digital health and AI must be relational, disability-informed, culturally safe, and led under First Nations authority, with AI positioned to support, rather than replace, human care relationships. The findings also highlight the importance of designing digital health and AI initiatives that remain accessible and trustworthy for older adults and Elders, particularly where aging, disability, and rural or remote living intersect.