AI Scribes in the Wild: Proving Net Time Saved

After years of pilots and proofs of concept, ambient AI scribes are now being deployed across hospitals and ambulatory networks at scale — and the conversation has evolved from excitement to evidence. Health systems are no longer asking if AI documentation works, but where it delivers the greatest net benefit and how to measure it. The focus has shifted toward real-world ROI, clinician satisfaction, documentation accuracy, and workflow redesign.

As organizations move from early adoption to system-wide integration, they are confronting new operational realities: data security and PHI protection, EHR interoperability challenges, variable performance across clinician types, and the need to retrain teams for hybrid human–machine documentation. This roundtable will surface benchmarks from leading implementations and examine what separates incremental time savings from true productivity transformation.

Participants will discuss how health systems can scale AI scribes responsibly — balancing efficiency with trust, quality, and compliance — and what metrics matter most in demonstrating durable clinical and operational value.

Join us to discuss:

• How are organizations validating ROI and time savings from AI scribe adoption across different clinician groups?

• What safeguards ensure data security, accuracy, and compliance as documentation tools mature?

• How can health systems integrate AI scribes sustainably into clinical workflows without disrupting patient care?