Briefings
What changed, and what it means for your practice.
Short, sourced briefings on AI in cancer care. Each one points to the module that teaches the topic in depth.
Agentic Prior Authorization in Oncology: From Denial Theatre to Decision Logic
Oncology prior authorization is a natural beachhead for agentic AI: high-volume, evidence-bound work with asymmetric patient stakes.
The Clinical Floor for AI Validation: HealthBench, RAVE, and What's Missing
Healthcare AI validation needs more than benchmark performance. The clinical floor is source-grounded, audited, local, and monitored.
TEFCA + FHIR for Oncology: The Data Spine That Makes Agentic Care Possible
TEFCA and FHIR are the boring infrastructure behind serious oncology AI. Without longitudinal interoperability, the agent is blind.
Foundation Models in Precision Oncology: Where the Evidence Actually Is
Foundation models are reshaping precision oncology, but the evidence is uneven across genomics, pathology, imaging, and narrative.
The Payer-Provider AI Arms Race Is the Wrong Frame
Health systems build AI to fight denials. Payers build AI to issue them. This adversarial equilibrium doesn't reduce cost — it redistributes it into compute. The actual unlock is structural.
HIMSS 2026: What Actually Mattered
Dragon Copilot, ambient documentation wars, agent validation frameworks. Separating signal from booth demos.