How Rhode Island's largest independent primary care group puts clinical AI to work at the point of care

Retrospective chart review, fragmented data, and late-cycle outreach have made traditional care-gap closure hard to scale and often hinder quality improvement. This session shows how clinical AI, embedded directly into everyday clinical and operational workflows, helps organizations move from reactive "chart chase" to proactive, real-time quality management. Featuring a real-world case study from Arches Medical, Rhode Island's largest independent primary care group serving more than 57,000 patients, Dr. David Gellis (CEO) shares how his physician-led team put Navina's clinical AI to work in pre-visit planning, point-of-care decision-making, and population health, reducing manual effort while strengthening quality performance and clinician trust. Moderated by Dr. Chaitanya Dahagam of Navina, the discussion offers a pragmatic framework for organizations at any stage of AI adoption. Attendees will leave with practical techniques to accelerate care-gap closure, improve provider–plan collaboration, and advance more equitable care delivery.

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