AI in Oncology Practice Foundations.
A beginner-level course for cancer-care teams learning how to evaluate AI tools, vendor claims, workflow fit, privacy, and governance risk.
8 short modules · $149 founding price · final assessment · Certificate of Completion. Educational only; not CME, accredited training, medical advice, or a professional credential.
Basic AI literacy for oncology teams.
OncologyIT should be easy to enter: one introductory course, clear boundaries, and current intelligence for the AI decisions already reaching cancer care.
See curriculumNovice-level starting point
Short modules use plain language and concrete oncology examples before moving into governance or procurement ideas.
Practical evaluation skills
Learners practice the basic questions behind AI claims, privacy boundaries, workflow fit, validation, monitoring, and escalation.
Completion proof with limits
A final assessment can generate a Certificate of Completion. It is not accredited training, medical advice, or authorization to practice.
Current intelligence.
Articles, podcast episodes, and a weekly note support the course without competing with it.
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.
March 21, 2026
8 min read
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.
May 8, 2026
7 min read
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.
May 8, 2026
6 min read
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.
May 8, 2026
7 min read
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.
May 8, 2026
7 min read
42 min · March 20, 2026
Fast Takeoff in Healthcare: Why This Time Is Different
The compounding dynamics that make 2026 the inflection point for clinical AI deployment.
38 min · March 13, 2026
Validating AI Agents Before They Touch Patients
Frameworks for testing agentic systems in oncology — what the FDA isn't telling you.
51 min · March 6, 2026
The EMR Is Dead. What Replaces It?
From iKnowMed to ambient AI — a 30-year view on what clinical software should actually do.