AI in Healthcare
David Talby, Ida LucenteAI in healthcare, covered for the people who build, deploy, and govern it: new research, real deployments, validation, and governance. 100,000+ subscribers.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 45 | Founded | 3 years ago | Last Issue | 3 days ago |
| Active | |||||
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Three Healthcare AI Frameworks, one governance backbone: RUAIH, URAC, and CHAI
In about a year, U.S. healthcare went from having no shared way to govern AI to having two certifications and a detailed set of governance playbooks. URAC published its Health Care AI accreditation. The Joint Commission, with CHAI, launched...
The real AI governance gap isn’t missing regulation. It’s missing literacy.
Originally published in CIO, October 2025.
A recurring talking point in enterprise AI conversations is that regulation is holding back adoption. The framing is appealing and almost entirely wrong. Regulated industries already sit inside fr...
A cost model for patient-level healthcare AI: $1M for locally deployed Medical LLM vs. $13M to $30M via frontier APIs
Healthcare AI budgets break on one assumption: that per-token API pricing works at patient-population scale. Model a real workload, building a de-identified oncology real-world evidence dataset at 1 million tokens per patient with four proc...
Why cancer registries stay years out of date - and what regulatory-grade oncology AI changes
Originally published in Forbes, July 2025.
Most of what matters in a cancer patient’s record is free text. Stage, histology, biomarker status, treatment response, progression: none of it lives cleanly in a discrete EHR field. It lives in p...
Why the 2026 Medicare Advantage rate decision raises the bar on HCC coding accuracy
Originally published in MedCity News, Rama on Healthcare, and Gene Online — June 2025. Recast for this Substack with updated CMS figures, regulatory context, and a sharper framing on the accuracy and compliance requirements now facing Medic...
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CEO at John Snow Labs and Pacific AI, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science.
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