Independent analysis · Updated weekly

Where Cancer Medicine
Meets Technology

AI, health IT, and the systems reshaping oncology — analyzed by a practicing oncologist who builds the technology, not just writes about it.

JS
Jivesh Sharma, M.D.
Medical Oncologist · CEO, Nexgen Precision
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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.

signal

SaaS Is Becoming Labor — And Oncology Isn't Ready

When agents replace workflow software, pricing flips from per-seat to per-task. Practices are still buying software. They should be buying outcomes.

deep dive

The OpenClaw Thesis: Own Your AI Infrastructure

Why health systems that rent their intelligence layer from SaaS vendors will lose to those who own it.

framework

Fast Takeoff in Healthcare Is Happening Now

The compounding dynamics that make 2026 the inflection year for clinical AI deployment.

signal
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Essential Reading

Curated books on AI, oncology innovation, and health system strategy for clinical leaders.

books
⚙️

Practice AI Stack

Tools and platforms for oncology practices building their intelligence layer.

tools
🎓

Learning Paths

Courses, certifications, and programs for clinical AI fluency.

education
📋

Frameworks & Playbooks

Vendor scorecards, readiness assessments, and implementation playbooks.

frameworks

The weekly signal in
oncology technology.

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