Becker’s Healthcare Digital Health + Health IT Scaling Generative AI for Safer, Smarter Care with Dr. Mark Mabus
Mar 2, 2026
Dr. Mark Mabus, CMIO and practicing family physician at Parkview Health, leads EHR and generative AI deployment across a health system and rural partners. He discusses scaling ambient documentation and Epic generative features. He covers pilot strategies, provider adoption tactics, ROI and revenue cycle impacts. He also outlines governance, safety, vendor controls, and expanding equitable AI access.
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Rapid Rollout From Pilot To Systemwide AI
- Parkview rapidly moved from pilots to mass deployment of generative AI across ambulatory, ED, inpatient, coding and revenue cycle.
- They rolled out ambient documentation first, then enabled 18 Epic generative features in October, jumping token use from ~60k to 2M and later 3M tokens.
Pilot Workflows With Diverse Users Before Scaling
- Validate AI in real workflows with pilots and diverse users to create usable best practices.
- Use physician builders and informatics to document workflows, make training videos, and deliver in-basket EHR education during targeted go-live periods.
Pay For Clinician Tools With Revenue Cycle Wins
- Combine measurable financial ROI use cases with soft ROI wins to justify AI spending.
- Prioritize revenue-cycle and coding features (E&M coding calculator, faster discharge summaries) to offset clinician-facing ambient documentation costs.