The Data Frontier Podcast

Host Patricia Thaine – co-founder of Private AI – sits down with engineers, data scientists, product leaders, domain experts, policymakers, and innovators pushing the boundaries of what's possible with data.They talk about real problems. The blockers slowing projects down. The gaps between prototype and production. What needs to change – and what's already working – when you're handling some of the most complex data out there.From NLP and privacy-preserving techniques to interoperability standards, AI workflows, and the infrastructure and governance challenges that come with scale.

The Data Frontier Podcast is a technology podcast hosted by Patricia Thaine, with 10 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Patricia Thaine hosts The Data Frontier Podcast, a technology show with 10 episodes published.

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  Episode #10

  From Nurse Protocols to Knowledge Graphs: Building Clinically Rigorous AI

  Mar 16, 202659 minS1

  <p>70% of patients think they know where to go for care. They're wrong. That's one of the surprising findings from Clearstep, which built its AI triage engine not on a general purpose LLM, but on the same nurse protocols that triage call centers have trusted for decades, the Schmitt Thompson guidelines, turned into knowledge graphs with rigorous unit testing baked in.In this episode, Clearstep CEO and Co-Founder Adeel Malik walks through how they encoded clinical reasoning into a system now trusted by Mount Sinai, HCA, Ochsner, and the U.S. military. He demos the patient-facing triage live, shows a...

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  Episode #9

  What Physicians Actually Want From AI

  Mar 2, 202646 minS1

  <p>Most healthcare AI tools get built and then don't get used. Why? Because they weren't built around how clinicians actually work.</p><p><br></p><p>In this episode, Patricia Thaine sits down with Dr. Travis Bias, a family medicine physician and Deputy Chief Medical Officer at Solventum, to get the practitioner's perspective on what's working, what's falling flat, and what builders need to understand about clinical workflows before they ship.</p><p><br></p><p>They cover ambient documentation and why it's seeing unusually high adoption, the "last mile" integration problem that kills otherwise solid products, how clinical...

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  Episode #8

  Season 1, Episode 8 | Building AI Inside a Cancer Center and the Data Challenges No One Talks About

  Feb 16, 202647 minS1

  <p>What does it actually take to build AI systems inside a major cancer center? In this episode, Dr. Anyi Li, Attending Physicist and Chief of Computer Service at Memorial Sloan Kettering Cancer Center, pulls back the curtain on the messy, complex reality of working with clinical data and deploying AI where it matters most.</p><p>We dig into Woollie, an LLM trained on nearly 40,000 radiology notes to detect cancer progression, and what it unexpectedly revealed about disease pathways. The conversation covers why EHR data are far messier than most people assume, how duplicated clinical notes confuse language models...

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  Episode #7

  Season 1, Episode 7 | What Happens When Patients Tell Their Own Story

  Feb 2, 202641 minS1

  <p>What if patients could complete their medical history before ever walking into the exam room, and actually enjoy doing it?</p><p><br></p><p>Dr. Chris O'Connor is the CEO of FirstHx and a practicing internal medicine and critical care physician. In this episode, he walks us through how his company built an adaptive interview system that asks patients the right questions, in the right order, based on their answers. No clipboard. No 500-question forms.</p><p><br></p><p>The results: 95% of patients love it. Completion rates top 90%. And the data they provide are remarkably accurate, matching...

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  Episode #6

  Season 1, Episode 6 | Rebuilding Every Pipeline: AI After an Epic Migration

  Jan 19, 202651 minS1

  <p>When Unity Health Toronto migrated to Epic, Dr. Derek Beaton's team faced a familiar challenge: the same measures now had different names, technical feeds changed, and every tool they'd built needed to be reconnected to the new system.</p><p>Derek Beaton, Director of Advanced Analytics at Unity Health Toronto (UHN), joins Patricia Thaine to talk about what that transition actually looked like. The UHN team has been deploying AI tools into clinical practice since 2017, with over 50 solutions now in production across the network. When the Epic migration happened, they spent months mapping old data to new, building monitoring...

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