Shiv Rao, CEO and Co-Founder of Abridge, walks through how the company is expanding beyond AI scribing following new partnerships with JAMA and NEJM. He frames the expansion around a pre-visit, during-visit, and post-visit product framework, using the context captured across the full clinical encounter to surface relevant evidence and close workflow gaps at the right moment.

The conversation covers how Abridge thinks about clinical intelligence as a reframe of clinical decision support. The old category was defined by rule-based alerts and popup fatigue. The new approach is contextual, surfacing cues grounded in medical literature without interrupting the clinical encounter. Shiv walks through a concrete cardiology example of how this works in practice.

He also discusses go-to-market strategy, why Abridge started with large health systems and IDNs, and how being embedded at that level creates the opportunity to collapse adjacent workflows like CDI and prior authorization rather than layering AI on top of them.

The conversation closes with where Shiv thinks AI impact shows up in healthcare, and why the gap between what clinicians feel and what the data shows is one of the most important problems the industry needs to solve.

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