Oncology AI Academy / By OncologyIT

Build your judgment.
Shape AI in cancer care.

Build the judgment to evaluate AI in cancer care. Learn through focused lessons, real evidence and fictional cases that turn a promising demo into a decision you can explain.

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No account needed for Module 1. Educational only; non-CME.

Inside the classroom01 / 08

Start with the task

A draft is not a decision.

Follow the work. Find the point where human judgment matters.

Information becomes an AI draft, then passes to a clinician for review.
Input
Visit information
Draft
Model output
Review
Clinical judgment
Open the presentation
8 focused modulesCases + practice checksSources checked September 2026Certificate of Completion

A practical foundation

For the decisions already
arriving in your practice.

For clinicians, informatics teams and practice leaders. Begin with the essentials; leave with a framework for the next AI proposal.

01

Understand the claim

Separate prediction, generation and action. Name the intended use and ask what the evidence actually supports.

02

Examine the risk

Trace patient data, missing information, oversight and failure modes through an oncology workflow.

03

Make a clear decision

Practice a vendor review, define a narrow pilot and build a use-case memo with an owner and a stop rule.

The founding course

AI in Oncology
Practice Foundations

Short presentation lessons. Applied exercises. A final assessment. A verifiable record of completion.

Beginner to intermediate · Individual enrollment

View curriculum and access

Certificate of Completion only. Not CME, accreditation or a professional credential.

Practice intelligence

Keep asking better questions.

Writing on the technology, evidence and decisions shaping cancer care.

signal · August 17, 2026

The $10B VA–Oracle EHRM Is Out of Money and Time — and Your Oncology Data Is Stuck in the Middle

VA's near-$10B Oracle EHR modernization hits its ceiling with ~120 of 156 sites unimplemented. The mixed CPRS/Oracle sprawl will shape federal oncology data for years.

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deep-dive · May 8, 2026

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.

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framework · May 8, 2026

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.

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