Dr. Bradley Anderson and Jared Droze shared how OSU Medicine is expanding access across rural Oklahoma through hybrid clinics, hospital partnerships, and school-based telehealth. By leveraging low-barrier technology like TytoCare, they’ve reduced unnecessary transfers, kept patients closer to home, and built scalable models with community and tribal partners, leading to improved outcomes while strengthening local healthcare capacity.

Komal Lodaria shared how NYC Health + Hospitals made “experience” a systemwide pillar using IHI’s PDSA method, data tools (key-driver reports, heat maps), and a quarterly Care Improvement Contest to lift HCAHPS performance. By linking workforce wellbeing to patient outcomes and scaling unit-level wins across service lines, participating units saw ~4% gains in “Rate the Hospital” while nonparticipants declined, proving that simple, disciplined improvement beats big overhauls.

Gabriella Lawrence shared why digital health only scales when clinical outcomes and hard-dollar ROI are designed and measured from day one. She outlined a clear playbook: drive engagement, use rigorous matched-control analyses, translate results into cost savings, and iterate. This methodology gives financial leaders the proof to renew, expand, and invest at scale.

Dr. Fernando Carnavali shared how Mount Sinai uses AI, patient portals, and remote monitoring to improve diagnostic accuracy and communication across the entire patient journey, not just the visit. LLMs streamline clinician-to-patient/provider messaging and support non-English speakers, while strong guardrails (privacy, clinician oversight) help prevent anxiety, misinformation, and “orthosomnia,” keeping clinicians firmly in the cockpit.

Pothik Chatterjee shared how the new Rice University-Houston Methodist Digital Health Institute pairs academic rigor with health-system scale—governance first, DGX computing, and a 6M-patient, 20-year dataset—to turn AI into outcomes. He highlighted ROI wins, and shared how the system has achieved them.