The community for AI in healthcare
Leading AI in healthcare.
AIMOCS is a community for clinicians, health-system leaders and researchers who have to judge this technology as it arrives in their own service. The library is open to anyone. New papers are logged as they publish. One cohort runs at a time.
Free. It takes an email address.
The kit
The clinical AI evaluation kit
What to ask a vendor before you buy, a checklist reconciling the published evaluation frameworks, the red flags in a reported performance figure, and a governance charter with an intake form.
It is a working document rather than an essay: sixteen questions with what a real answer contains beside each one, a checklist you can tick down in a meeting, and a committee charter with the seats, the decision rights and the escalation triggers filled in. Every claim carries a primary source.
Nothing about it is gated. Joining is how you hear when it changes.
Membership
What a free member gets
The same four things for everyone who joins. There is no application for this part and no waiting for approval.
The library
104 pieces: guides, a glossary, statistics trackers and the briefing archive. Numbered primary sources on every one. No account is needed to read them.
The paper feed
New research from NEJM AI, The Lancet Digital Health, npj Digital Medicine, JAMIA and Nature Medicine, with the citation, the DOI and a short note on what it changes.
The weekly email
One paper a week, read closely: what it measured, how well it measured it, and whether it should change anything you do on Monday.
The room
Members post cases, questions and results where other members answer them. Global, and in English.
The library
104 pieces, open to read
Everything AIMOCS publishes stays public. Each piece carries numbered primary sources, the date it was last updated, and the name of anyone who reviewed it.
Guides 73Glossary 20Statistics 8Briefing 3
The best AI in healthcare communities, societies, and networks in 2026
Twelve places where the people doing AI in healthcare actually gather — CHAI, Health AI Partnership, AMIA, SIIM, AIME, DiMe, AAIH, the FHIR chat, Medblocks, Health Tech Nerds, Out-Of-Pocket, and AIMOCS — compared on who they serve, what membership really looks like, and every published fee, each figure from the organization's own pages. As of 12 August 2026.
How to get into AI in healthcare: a clinician's guide
The realistic map for a physician, nurse leader, or researcher entering the field in 2026: five destinations, what each actually requires, where formal credentials matter and where they are myth, a 90-day reading path that costs nothing, and when a community shortens all of it. Every number sourced and dated. As of 12 August 2026.
AI scribes: what the evidence actually shows
Ambient scribes reached millions of uses before the first randomized trial reported a result. This guide sets the deployment scale and the vendor efficiency claims against the peer-reviewed record — how few evaluations meet real-world-evidence criteria, and what the studies that do exist actually found. As of July 2026.
Transparency and labeling requirements for clinical AI
What US rules actually force a clinical-AI tool to disclose — the FDA device track and the ONC/ASTP HTI-1 certified-EHR track — mapped onto the single artifact both converge on, the model card, and read against how little devices disclose today. Each requirement tied to primary rule text. As of July 2026.
The paper feed
New work, logged as it publishes
Tracked across NEJM AI, The Lancet Digital Health, npj Digital Medicine, JAMIA and Nature Medicine. The citation, the DOI, and a short note on what it changes. Abstracts stay with the journals that hold their copyright.
The feed is between runs. Entries appear here as the journals publish them.
Comparison
How this compares to the university programmes
Harvard, Stanford and Johns Hopkins run the programmes a clinician weighs against this one. They sell courses; this is a community, and the difference shows up in what happens after the last session.
| Feature | AIMOCS |  Johns Hopkins |  Harvard |  Stanford |
|---|---|---|---|---|
| Last content review | v2026.Q3 · reviewed quarterly, logged publicly | Cohort of 22 Aug 2026 [1] | Runs as a live 3-day programme [2] | CME release 10 Aug 2023, expires 10 Aug 2026 [3a][3b] |
| Generative + agentic AI | Core to two of four tracks: LLMs end-to-end, agentic AI engineering, scribes, golden-set evals, MCP, EHR agents, governance — plus a dedicated Working with Claude course | Curriculum runs from LLMs to goal-directed agentic AI, plus an n8n masterclass [1] | Curriculum covers generative AI; hands-on sessions are demonstrations [2] | No agentic-AI module in the published syllabus; core CME content released Aug 2023 [3][3a] |
| What you build | One artifact per module — 16 total, from a department AI explainer to a capstone pilot proposal | Guided projects + masterclass build [1] | Demonstrations only [2] | Recorded exercises + capstone [3] |
| What continues after | Research briefing, author conversations, case-study library, quarterly curriculum refresh | Programme ends at certificate [1] | Programme ends at certificate; alumni events vary [2] | Programme ends at certificate [3] |
| Accredited CME/CEU | — (in progress) | 6 CEUs [1] | 27.00 AMA PRA Category 1 Credits + MOC points [2] | AMA PRA Category 1 (within accreditation window) [3a] |
- [1] Johns Hopkins — AI in Healthcare Certificate Program
- [2] Harvard Medical School — “AI in Clinical Medicine”
- [3] Stanford — AI in Healthcare Specialization (Coursera)
- [3a] Stanford — Fundamental Machine Learning for Healthcare (CME original release 10 Aug 2023, expiry 10 Aug 2026)
- [3b] Stanford — Evaluations of AI Applications in Healthcare (same CME window)
The cohort
One cohort runs at a time
The rest of AIMOCS is open all year. The cohort is the part with a start date.
A cohort is a fixed group working through the same material in the same weeks, with live sessions rather than recordings. Seats are limited because everyone in the room is expected to talk. You apply, and a seat is not guaranteed.
Each module ends in one artifact you keep and can put in front of your own committee. Sessions are recorded for members afterwards.
Join
One email, and you’re in.
There is no application and no waiting. The library and the paper feed stay open whether you join or not.
The whole library, the paper feed, the weekly email