OncologyIT Academy
Oncology AI certification for cancer-care teams.
A destination for oncology-specific AI education, completion certificates, and practical frameworks for evaluating clinical AI tools, vendor claims, workflow fit, safety boundaries, and governance risk.
Educational content only. Not CME, not accredited, not medical advice, and not a professional credential.
Academy first
The course is the center. The articles, podcast, and toolkit are the supporting intelligence layer.
OncologyIT now points toward a certification path for oncology AI literacy: practical, vendor-independent, and built around the decisions clinicians and operators are already being asked to make.
Join the founding cohortCourse
AI in Oncology Practice Foundations
Eight oncology-specific modules covering tool evaluation, validation, privacy, workflow, buying, and governance.
Certificate
Completion, not credentialing
A final assessment produces a verifiable Certificate of Completion while preserving explicit no-CME and no-accreditation boundaries.
Signal
Current healthcare AI context
The supporting content tracks FDA CDS oversight, AI-enabled device transparency, HTI-1 algorithm transparency, and responsible LMM use.
Buyer clarity
Built like a serious certificate destination, not a content blog.
Professional learners compare certificate programs by audience fit, time commitment, assessment, proof of completion, price, and credibility. OncologyIT now puts those buying questions next to the Academy funnel.
Offer
$149 founding price
A low-friction pilot price for individuals and small teams before paid checkout opens.
Proof
Assessment plus PDF
Learners pass a final assessment and receive a verifiable Certificate of Completion with explicit credential limits.
Fit
Oncology-specific use cases
The curriculum is built around oncology workflow, AI claims, safety, and governance rather than generic prompt training.
Clinicians
Evaluate AI support without confusing education with medical advice.
Practice leaders
Create a shared language for buying, governance, and workflow fit.
Health IT teams
Map model claims to validation, privacy, monitoring, and escalation paths.
Product teams
Understand how oncology buyers inspect evidence before adopting tools.
What oncology AI literacy now requires
Healthcare AI has moved from novelty to operating risk.
The Academy curriculum and editorial layer are organized around the questions that changed in 2025-2026: what is regulated, what is safe enough to deploy, what must be disclosed, and who is accountable when tools drift.
Regulatory boundary
FDA CDS guidance, AI-enabled device submissions, and the line between education, support, and device claims.
Algorithm transparency
ONC HTI-1 decision-support transparency, source attributes, risk management, and procurement evidence.
Clinical validation
Bias, drift, local monitoring, benchmark limits, workflow fit, and oncology-specific safety floors.
Governance in practice
Privacy, liability, model updates, user autonomy, escalation paths, and accountable deployment.
Latest AI 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
Podcast and Field Notes
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.
Stay current between Academy updates
One email per week. Regulatory shifts, validation frameworks, workflow lessons, and oncology AI implementation signals that belong next to the certification curriculum.