EHR integration limits PLG for scribes
Brendan Keeler, interoperability lead at HTD Health, on GTM for AI medical scribes
The key constraint on healthcare PLG is not user demand, it is the moment a product touches patient data and has to plug into the hospital’s software stack. Freed and Heidi can grow fast with self serve adoption because a solo doctor can start recording visits and paste notes into the chart, but that motion weakens as soon as a clinic wants deeper EHR workflow, central security review, and a business associate agreement. That is why bottom up works best as an entry wedge, not a complete go to market.
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Freed’s early traction shows why the wedge is attractive. It reached $13M ARR in August 2024, with roughly 12,000 clinicians at about $1K ACV, selling a $99 per month tool to small practices where the doctor is both user and buyer. That is fast distribution, but it is concentrated in the least complex part of the market.
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Heidi is following the same logic with a freemium model aimed at outpatient clinicians. The product can spread one doctor at a time, but the interview makes clear that copy and paste only buys time. To complete orders, diagnoses, and other charting tasks, the company eventually has to integrate deeply with each EHR, and that pulls in IT and procurement.
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Doximity is the clean counterexample. Provider calling and networking can spread bottom up because the core product does not depend on deep EHR workflow. Its Dialer lets physicians call or text patients from a masked office number with no patient login or download, which is a much simpler adoption path than software that writes into the medical record.
The likely end state is a split market. Bottom up scribes will keep winning solo doctors and small groups with fast signup and low prices, while larger systems will keep buying through enterprise channels once they want native workflow inside Epic, Cerner, or Athena. The companies that turn early self serve usage into deep EHR execution will capture the most durable share.