Becker’s Healthcare Podcast Clinical AI Use Cases Shaping the Future of Healthcare
Dec 19, 2025
Marcus Perez, President of Altera Digital Health and a West Point graduate, shares insights on the vital role of trusted data for AI adoption in healthcare. He highlights that 97% of healthcare data remains unused, stressing the need for effective governance. Topics include ambient documentation via their Note Plus product and the promise of value-based care through data-driven outcomes. Perez advocates for a gradual approach to AI adoption, ensuring it aligns with clinician workflows to foster sustainable change.
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Trusted Data Is The AI Foundation
- Trusted, governed data is the essential foundation for any meaningful AI use in healthcare.
- Without aggregated, harmonized and scored data, AI engines cannot reliably improve clinical or financial outcomes.
Standardize And Score Your Data First
- Ingest data from any source, normalize semantics, harmonize records and apply governance with a trust score.
- Then plug any AI tool into that trusted dataset to drive reliable results across use cases.
Focus On Data Sources Before AI Projects
- Prioritize knowing where your data comes from and how much you can trust it before chasing AI pilots.
- Focus resources on reliable, traceable data to ensure AI and workflow changes yield measurable outcomes.