Advancing Healthcare with AI: Lessons from Owensboro Health

Owensboro Health faced persistent operational and clinical challenges that required more than incremental improvement. By investing in AI‑enabled solutions grounded in strong security, governance, and modern infrastructure, the organization has achieved measurable gains in efficiency, accuracy, and care team experience.

This session begins with a focused case study on AI-enabled, real-time Operating Room (OR) supply chain and charge capture. Leaders will walk through the problem Owensboro set out to solve, the AI-driven approach they implemented, and the results achieved—including improved documentation accuracy, greater visibility into cost variability, and better-informed operational decision-making.

The session closes with a forward look at Owensboro Health’s 2026 AI roadmap, including expanded ambient documentation for providers and nursing, and real‑time data and automation in the revenue cycle.

Join Russ Ranallo, Chief Financial Officer, Owensboro Health; Puneet Maheshwari, SVP & GM, Optum Real; and Tarun Mehra, Partner and Head of Product Strategy, Microsoft, as they share lessons learned, success metrics, and practical guidance health systems can apply today.

Learning Objectives

1. Describe how AI‑enabled, real‑time Operating Room (OR) supply chain and charge capture can address documentation gaps and cost variability, using Owensboro Health’s case study as an example.
2. Explain how secure, AI‑enabled digital tools—such as ambient documentation, virtual nursing, and digital workers—can reduce administrative burden and improve operational efficiency when deployed on a modern, governed foundation.
3. Identify practical considerations and next steps for scaling AI responsibly across the enterprise, informed by Owensboro Health’s 2026 roadmap for clinical, revenue cycle, and patient access use cases.