About ChatCME
Built to make AI trustworthy in medical education.
ChatCME helps accredited CME providers and health care professional associations turn approved educational materials into cited learner conversations, outcomes evidence, and provider-controlled insight.
Generic AI is not enough for accredited education. The assistant has to stay in scope, show its sources, protect independence, and give education teams evidence they can actually review.
Market proof
Used by some of the largest and leading CME providers and U.S. health care professional associations.
Why we exist
Clinicians already ask questions while they learn. CME teams already have credible content, objectives, faculty work, and outcomes obligations. ChatCME connects those pieces without turning accredited education into an uncontrolled AI surface.
For learners
Ask natural questions and verify the answer against the source material.
For providers
See what learners ask, where evidence is used, and which objectives need attention.
For independence
Keep content control with the provider and limit supporter reporting to approved aggregate insight.
Who we serve
We serve two primary client groups. They buy differently and deploy differently, but they share the same requirement: AI has to be useful without weakening trust.
CME providers
Enterprise CME and CE teams use ChatCME to add cited learner Q&A, governance workflows, and objective-aligned analytics across activities, conferences, and learning centers.
Health care professional associations
Associations and specialty societies use ChatCME to bring trusted, member-facing learning support to enduring programs, conferences, portals, and QR-first experiences.
How we build trust
This is the core of the About page: buyers need to know that ChatCME was built for accredited education from the beginning, not retrofitted from a general AI chatbot.
Scoped to approved education
Retrieval stays inside the accredited activity or approved program library, so answers do not drift into unrelated content.
Cited by default
Learners get concise answers with citations that open the exact source passage, slide, document, or timestamp.
Aligned to objectives
Providers can review learner questions, evidence use, themes, and objective alignment instead of relying only on end-of-activity surveys.
Independence preserved
Supporters may receive approved, aggregated, de-identified insights. They do not receive learner-level data, raw transcripts, or editorial control.
Enterprise controls
Tenant isolation, role-based access, audit logs, encryption, and SOC 2-mapped controls support regulated education workflows.
Educational by design
ChatCME supports medical education. It is not clinical decision support, and it declines when evidence is insufficient or out of scope.
Built early, carefully
The timeline matters only because it supports the trust story: ChatCME was shaped around real medical education constraints before governed AI learning had a standard playbook.
Early public healthcare-education chat pilot at ASCO
Activity-scoped retrieval and citations shaped the conservative, evidence-first behavior that still defines ChatCME.
ChatCME launched for accredited medical education
The product launched with embedded assistants, conference deployments, provider controls, and objective-aligned analytics.
See our broader academic impact.
Leadership
ChatCME is built by Erudio Health, a health care technology company founded in 2023 by the founders of Symplur.
Audun Utengen
Co-founder
Audun is a health care technology founder focused on measurement, credible signals, and trustworthy learning analytics. He co-founded Symplur, acquired by Real Chemistry in 2020, and now applies that experience to accredited medical education.
Thomas M. Lee
Co-founder
Tom is a health care business and analytics leader focused on privacy, compliance, operational rigor, and trustworthy measurement in regulated environments.
Talk with us about your education program.
If your organization runs accredited education at scale, we can show how ChatCME scopes answers to your materials, preserves independence, and turns learner questions into usable outcomes evidence.