600 - Clinical Evidence at Your Fingertips: AI, Scribes, and the Future of Medical Documentation
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In this episode of Talking Health Tech, host Peter Birch welcomes back Dr. Max Molenkov for a deep dive into the evolution and future of AI in clinical documentation, featuring a candid conversation with Thomas Kelly, co-founder of Heidi Health. The discussion traces Heidi's journey from an early AI-powered asynchronous triage tool—designed to streamline patient intake and reduce clinician workload—to a dominant scribing and clinical evidence platform. Kelly reflects on the challenges of product-market fit, the pivotal pivot to a freemium scribe model after the rise of GPT-4, and the critical role of clinician-led product development and go-to-market strategy in winning enterprise deals. The episode explores Heidi’s new 'Evidence' product, which delivers real-time, cited clinical knowledge directly to clinicians during consultations, and its implications for clinical decision support, quality assurance, and continuing education. The conversation also tackles regulatory complexities, international differences in AI governance, and the delicate balance between innovation and safety. Finally, Kelly shares insights on the future of AI in medicine, including the potential for AI to handle more clinical tasks under physician supervision, while emphasizing that the human clinician remains central to care delivery.
The freemium model was critical to Heidi’s growth, enabling rapid adoption and word-of-mouth momentum among clinicians.
AI scribing tools are most effective when they integrate with clinical workflows and are built by clinicians for clinicians.
Clinical evidence tools like Heidi’s 'Evidence' product can act as a real-time, cited knowledge co-pilot, improving decision-making and reducing cognitive load.
Regulatory frameworks for AI in healthcare vary widely by country, with strict rules in the EU and more flexibility in the US and Australia.
The future of AI in medicine lies in augmenting clinicians—not replacing them—with AI handling routine tasks under physician oversight.
…and 1 more takeaway available in PodZeus
Welcome & Episode Context
Peter Birch introduces the episode, welcomes back Dr. Max Molenkov, and sets the stage for a conversation with Thomas Kelly, co-founder of Heidi Health, discussing the evolution of AI in clinical documentation.
The Birth of Heidi: From Triage to Scribing
Thomas Kelly recounts Heidi’s origins as an AI-powered asynchronous triage tool launched in 2020, designed to streamline patient intake and reduce clinician workload. Despite a strong product and early adoption, the model struggled with adoption due to workflow friction, stakeholder resistance, and a lack of clear product-market fit.
The Pivot: Why the Original Product Failed
Kelly explains how the rise of GPT-4 made Heidi’s custom AI models obsolete, leading to a strategic pivot. The team realized clinicians valued documentation tools over AI-driven triage, prompting a shift to a scribing-first product that would eventually become Heidi’s core offering.
Freemium & Viral Growth: The Engine of Adoption
Heidi’s bold decision to offer a free scribe version drove explosive growth. The freemium model allowed clinicians to experience the tool’s value firsthand, leading to organic adoption and word-of-mouth spread, especially among private practitioners.
Product & People: The Competitive Edge
Kelly attributes Heidi’s success to product excellence and a clinician-led team. Unlike competitors, Heidi’s founders deeply understand clinical workflows, enabling them to build a tool that truly fits into the doctor’s day. This clinician-to-clinician approach won key enterprise deals.
“If you're being really precise about individual patients, then definitely, in my opinion, it's a device. If you're retrieving information and summarizing it, again, jurisdictions will vary, but I think it's probably net benefit to the world to let that be available now.”
“I think the future of AI in medicine lies in augmenting clinicians—not replacing them—with AI handling routine tasks under physician supervision.”
“I think doctors already trust a lot of these sources, so I'm imagining like you know if you buy evidence you just get like a pack or something like maybe like your therapy guideline... You kind of need the group so that you can get good answers to most questions.”
Host
Guest
Heidi Health
organization
Thomas Kelly
person
Dr. Max Molenkov
person
GPT-4
other
Open Evidence
organization
Doximity
organization
Best Practice
organization
MIMS
organization
Health Pathways
organization
Acurex
organization
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