Becker’s Healthcare Podcast Scaling Generative AI for Safer, Smarter Care with Dr. Mark Mabus
Mar 3, 2026
Dr. Mark Mabus, a practicing family physician and CMIO who leads EHR and generative AI work at Parkview Health. He discusses scaling assistive AI across clinical and revenue-cycle workflows. Topics include rapid rollout from pilots to systemwide use. He also covers governance, measuring ROI, adoption strategies, and expanding equitable access for rural care.
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Rapid Systemwide Generative AI Scale
- Parkview rapidly scaled generative AI across clinical and revenue operations, moving from pilots to system-wide deployment including ambient documentation and 18 Epic features.
- Token usage jumped from ~60k/month to 2 million in October and 3 million by January 2026, showing rapid adoption and demand.
Pilot Workflows Then Run Mini Go Lives
- Use targeted pilots to define workflows and create best practices before mass rollout, then support users with role-specific education and in-EHR messaging.
- Employ super users like physician builders, schedule department-level training, and treat launches like mini EHR go-lives.
Fund Clinician Tools With Revenue Cycle Wins
- Prioritize AI features with clear financial ROI (e.g., revenue cycle coding, E&M level calculators) to fund clinician-facing tools that yield soft ROI like time savings.
- Balance purchase decisions by leveraging strategic vendor-embedded AI rather than costly new third-party buys.