Oncology Informatics & AI
Where Cancer Medicine Meets Technology
Independent analysis for oncology leaders navigating AI, clinical informatics, and technology transformation. No vendor ties. No sponsored content.
Jivesh Sharma, M.D.
Medical Oncologist · CEO, Nexgen Precision · MIT Sloan AI Certificate
Latest Analysis
View all →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
frameworkThe 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
tutorialTEFCA + 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
deep-diveFoundation 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
The Podcast
All episodes →EP 24 · 42 min
Fast Takeoff in Healthcare: Why This Time Is Different
The compounding dynamics that make 2026 the inflection point for clinical AI deployment.
EP 23 · 38 min
Validating AI Agents Before They Touch Patients
Frameworks for testing agentic systems in oncology — what the FDA isn't telling you.
EP 22 · 51 min
The EMR Is Dead. What Replaces It?
From iKnowMed to ambient AI — a 30-year view on what clinical software should actually do.
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