Podcast Short 1:37 February 27, 2026From Season 1, Episode 3

Why Healthcare AI Strategy Starts With Your EHR

CF
Charles O. Frazier, MD·Senior Vice President, Chief Medical Information and Innovation Officer, Riverside Health
In this clip

Dr. Charles Frazier frames AI adoption as a question that begins with organizational posture: bleeding edge, conservative, or a deliberate middle. For Riverside Health, the answer is the middle ground, avoiding the liability and bias risks that come with being too early while not falling so far behind that the organization misses meaningful gains. Once that posture is established, the first practical step is to look at the AI capabilities already embedded in the existing EHR before evaluating third-party vendors, since those capabilities are already paid for and integrated into existing workflows.

A third-party evaluation only becomes necessary when the EHR does not cover the specific use case, or when a vendor can build a strong, well-scoped business case for a capability that genuinely fills a gap.

Key Takeaway

Setting an explicit AI posture determines how an organization sequences adoption. Starting with EHR-embedded capabilities reduces both cost and risk before any third-party evaluation begins, and reserves external vendor decisions for gaps the existing platform cannot fill.

“We’re already paying for that. So why not look at those first before we look too much at third-party vendors, unless it’s something the EHR vendor doesn’t do, or there’s some specific use case that you make a good business case for.”

Charles O. Frazier, MD, Senior Vice President, Chief Medical Information and Innovation Officer, Riverside Health

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Charles O. Frazier, MD
Season 1 · Episode 3 · 44 min

Ambient AI for Healthcare: Reducing Denials, Improving Patient Trust

Charles O. Frazier, MD · Senior Vice President, Chief Medical Information and Innovation Officer, Riverside Health

Dr. Charles O. Frazier shares a clinician-led perspective on how ambient AI is reshaping healthcare delivery, patient experience, and revenue cycle outcomes. He explains why documentation burden has become one of the most significant drivers of physician burnout, and how ambient AI can restore focus on patient connection while improving the completeness and accuracy of clinical notes. The conversation explores how higher-quality documentation directly impacts claim integrity, coding accuracy, and denial reduction. Dr. Frazier walks through Riverside Health's evaluation and selection of an ambient AI solution, emphasizing the importance of deep EHR integration, workflow alignment, and provider trust when implementing AI at scale. Dr. Frazier also discusses the broader evolution toward agentic AI in healthcare, where intelligent systems actively support clinical decision-making, revenue cycle workflows, scheduling, and patient billing interactions. He highlights measurable outcomes from ambient AI adoption, including reduced burnout, improved patient experience, increased diagnostic capture, and strong financial return. The episode closes with leadership lessons on governing AI responsibly, managing organizational change, and finding the right balance between innovation, risk, and mission in complex healthcare environments.

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