clinicians.dev

clinicians.dev

A community of clinical experts super-powered with skills in agentic engineering. Our roots are in coding and clinical medicine. We know how to create and supervise LLMs writing Python, SQL, R, JS, HTML. We love startups, regs, policy, UI/UX, data viz, project management, informatics. We want to create the medicine of the next 100 years.

✉ Email for Slack invite → Slack → Substack ↓ Next event
today · the wire

The Wire

What you'll be asked today — and what to say back. A couple that caught my eye this morning; the rest are on the wire.

Do we actually have to evaluate all hundred of Epic's new AI features?

Becker's Hospital Review · Sept 21, 2026

No. Nobody can. Seattle Children's, Michigan Medicine, Rush and University Hospitals all gave up on feature-by-feature piloting and stood up review boards instead. The volume is the story — when one vendor ships a hundred-plus AI features, the evaluation unit stops being the feature and becomes the category. You approve ambient documentation as a class, or inbox drafting as a class, with a standing safety and monitoring posture underneath. The systems doing this well built a named body with authority to say no; the ones still routing every feature through individual clinical champions are drowning, and they're also quietly turning off the point solutions they bought two years ago because the bundled version is already sitting in the EHR.

80/20The one thing that matters: whoever controls the triage queue controls your AI strategy. If that's your EHR vendor's release notes rather than a governance body you staffed, you don't have a strategy — you have a subscription.

Is "my AI already told me" the new second opinion?

Becker's Hospital Review · Sept 21, 2026

Roughly half the world already thinks so. The 2026 Edelman Trust Barometer, analyzed with Yale School of Public Health across 13 countries and about 13,000 people, found 49% believe an AI-fluent layperson could match or beat a physician on at least one task. Read the wording carefully before you panic about it — "at least one task" is a low bar, and triage and information retrieval are exactly where a good model plus a motivated patient performs well. The finding that should change your behavior is who said yes: younger and more educated respondents led. That's your commercially insured panel and your future workforce, and they're not going to ask permission before running their symptoms through a model on the way to the visit.

HatersHalf of respondents also think they could land a plane with some coaching. "Could match a physician on one task" is a survey about confidence, not about outcomes — and nobody surveyed has been sued yet.

Oura's IPO is pricing at $14 billion. Should we have a consumer wearables strategy?

MobiHealthNews · Sept 21, 2026

You should have a consumer wearable data strategy, which is a different thing. Oura is selling 50 million shares at $40 to $44 — up from an $11 billion private round, below the $17 billion the rumors carried — so the public market is pricing a strong consumer brand, not a clinical one. Our exposure isn't whether we sell rings; it's that patients will arrive with continuous sleep and HRV data and expect someone here to act on it.

If Congress hands hospitals $1.3 billion for cybersecurity, can we cut what we budgeted?

Becker's Hospital Review · Sept 21, 2026

The opposite, most likely. Warner and Wyden's Health Infrastructure Security and Accountability Act pairs the money with minimum federal standards for providers, plans, clearinghouses and business associates — so the grant comes attached to a compliance floor we'd have to demonstrate we meet. And $800 million of the $1.3 billion is earmarked for rural and underserved urban facilities, which is not us. Budget for the standard, not the subsidy.

6,000 clinicians, five million notes, and not one pilot.

Radio Advisory · Rachel Woods with Veena Jones, MD · Sept 22, 2026

Veena Jones, Sutter's CMIO, made a decision at the outset that's worth stealing: they never treated ambient AI as a technology pilot testing whether doctors liked it. They treated it as a systemwide operational problem, scoped across the whole visit — before, during and after — not just the note. Six thousand clinicians are on it now across five million notes, and documentation time is down as much as 30%. The line that stuck with me: coming up with a point solution, or going all in on something that was only going to help a small number of people in a system this large, was never going to be worth the trouble.

80/20The differentiator wasn't the model. It was deciding at the outset that a tool which helps one specialty isn't worth the governance overhead of deploying it.
Read the full wire ↗
clinical AI product decisions

Clinical AI Labs

Work through the decisions behind a clinical AI product: what to measure, what to trust, and when to release.

Screenshot of Does this AI handoff have an owner?

· 4 min

Does this AI handoff have an owner?

Turn an AI-generated alert into a closed-loop task with accountability, acknowledgement, timing, and escalation.

Clinical workflow & operational safety

Try the lab →

 Screenshot of Can 100 examples approve your AI?

· 4 min

Can 100 examples approve your AI?

Turn a reviewed batch into a release decision, and see why a clean sample is not automatically enough evidence.

Evaluation design & release decisions

Try the lab →

 Screenshot of Would you ship this AI scribe?

· 5 min

Would you ship this AI scribe?

Find an unsupported claim in an AI-generated note, test a release rule, and see why zero observed errors may not be enough evidence.

Evaluation & release decisions

Try the lab →

Browse all AI Labs →

learn by doing

Interactives

Companion experiences for the newsletter — don't just read about it, try it.

Browse all interactives →
from the substack

Builder's Briefing

The newsletter — what shipped this week, what it means, and what to build next. A couple of recent issues.

Read more on Substack ↗
Summer 2026 · Free · Virtual

What the Vibe

Saturday, May 30, 2026 · 12p–2p ET

Vibe coding changed everything. The barrier to building just disappeared. So what's the vibe? Is clinicians.dev dead? Does knowing how to code still matter when anyone can build? Four clinician-builders. Twelve minutes each. Show us what you made — vibe-coded, hand-coded, or somewhere in between.

Tentative speakers
Joe Izzo
First, Do No Harm — Especially With Your MVP: A CMIO's Advice in the Clinician-Builder Era
Patrick Damaso
Trajectories, Not Targets: Catching Reward-Hacked Diagnostic Reasoning One ICD Branch at a Time
Sam Wang
Silent Denials, Loud Insights: Visibility into the Payors Who Won't Show Their Work
Matt Segar
From Bedside to Buyout: An EP Fellow Path to Acquisition
  • 4 talks (12 min each)
  • 1:1 breakouts after each
  • Group discussion
  • Open community talk: "What the Vibe?"
RSVP on Luma →
01 · Learn

AI & agentic engineering

The foundational reads, the tools clinicians-who-code are actually using, and the loop that ships.

Context engineering — the foundation

Effective Context Engineering for AI Agents

Anthropic's foundational guide.

Building Effective Agents

When to use workflows vs. agents, and how to structure both.

2026 Agentic Coding Trends Report

How teams are actually shipping with agents.

Learn CLAUDE.md / AGENTS.md

The spec files that make agentic coding repeatable.
🔁 The Ralph Wiggum Pattern — the loop that ships. Tight spec → agent implements → you verify → adjust spec → repeat. Just keep going.

Tools of the trade

ToolBest forNotes
Claude CodeComplex multi-file work, architectureTerminal-native, large context. The power tool. Good for non-code tasks too.
CursorDaily coding with autocomplete + inline editsAI IDE, huge user base.
WindsurfBudget entry, Cascade collaborationAI-native editor.
Copilot / Codex CLIRepo-native GitHub workflowsTight GitHub integration.

Skills marketplaces

Claude Code Marketplace

Curated agent skills collection.

Claude Skills (232+)

Cross-agent skills for Claude Code, Codex, Gemini CLI, Cursor.

Awesome Claude Plugins

Plugin adoption metrics.

claudemarketplaces.com

4,200+ skills, 770+ MCP servers.

Healthcare MCPs

AWS HealthLake MCP

Amazon's healthcare data MCP server.

Agent Care

EMR integration with FHIR for agentic AI.

Keragon

300+ native healthcare integrations, FHIR protocol support.

Superpowers Framework

Agentic skills framework for coding agents.

Agentic frameworks & orchestration

  • CrewAI— multi-agent orchestration, clinical workflow pipelines
  • LangGraph— graph-based agent workflows with state
  • AutoGen— Microsoft's multi-agent conversation framework
  • MS Agent Framework 1.0— production .NET + Python
  • DSPy— programmatic LLM pipelines, good for clinical NLP
02 · Communities

Communities, courses, substacks

Where clinician innovators and clinician builders are hanging out.

X Primary Care

Substack.

Automate Faculty

AI.

HealthTechNerds

Active Slack, all different backgrounds.

Tuva

Active Slack community.

CodeRx

Pharma, healthcare, technology.

Mimilabs

Medicare data (paid).

DiMe

Research, clinical, digital medicine.

Design for Healthcare

UX, UI, healthcare products.

HealthDevHub

FHIR.

HealthTech Hang

Networking + resources.

Physician Innovator

Entrepreneurship, medical innovation.

SoPE

Healthcare, entrepreneurship, VC (paid).
03 · Build stack

EHRs, FHIR, fake patients

The pipes you'll need when you're actually building.

EHRs & FHIR

🔑 SMART-on-FHIR / OAuth flow — fhir.epic.com/Documentation?docId=oauth2

Generate fake patients

MakeData

Synthetic healthcare datasets — FHIR, JSON, CSV. Privacy-safe, immediate.

Patient Creator GPT

ChatGPT custom GPT for fake cases.

Synthea

MITRE's synthetic patient generator — the classic.

FHIR Personas

Synthea patients curated for interesting characteristics.
04 · Datasets

Clinical datasets worth knowing

From CXRs to genomes to ICU waveforms. Filter by name, modality, or license.

NameRelevanceLicense
ReXGradient-160K160k multi-site CXR + reports — vision-language radiology sandbox.Harvard DUA, non-commercial
CheXpert PlusLarge paired CXR–report set; benchmarked in many papers.Stanford DUA, free research
Endoscapes 2023Open laparoscopic chole frames — segmentation / CVS detection.CC BY-NC-SA 4.0
Surg-3M3M surgical frames powering "SurgFM" foundation model.TBA, expect research-only
AFRICAI RepositoryImaging sets from African centres — fairness & domain shift.Mixed open licenses
OpenOximetryWaveforms + skin-tone data for pulse-ox bias work.PhysioNet credentialed
DeepLesion32k CT slices with bounding-box lesions; detection / tracking.NIH DUA, research-only
BioASQ Synergy 2024Biomedical Q-A pairs — LLM eval set.CC BY 2.5
CliniFactClinical-trial fact-checking corpus — fine-tune retrieval / RAG.MIT
Hallucination AnnotationsDoctor- & LLM-written discharge summaries with token-level labels.PhysioNet credentialed
Clinical-Trial Eligibility QAQA pairs linking MIMIC-IV to apixaban RCT criteria.PhysioNet credentialed
PIFIRWearable PPG/ECG for arrhythmia-free interval prediction.PhysioNet restricted
GREGoR R02Rare-disease genomic + phenotypic harmonised data.dbGaP controlled
Synthetic Rare-Disease EHRsBenchmark synthetic EHRs for low-prevalence conditions.CC BY
Korea4K4k Korean genomes — ancestry diversity for variant calling.EGA controlled
OpenNeuro20k+ public neuro-imaging sessions; BIDS-ready.CC0 / CC BY-SA
Bridge2AI-VoiceMultimodal speech (voice, vitals) for health AI.PhysioNet restricted
PMDB Pain MonitoringWearable IMU + self-report pain diary.CC BY 4.0
DREAMT Wearable SleepApple Watch PSG pairs for sleep-staging models.PhysioNet restricted
MC-MEDMulti-condition medical dialogue (GPT / human).PhysioNet credentialed
Wearable Stress DatasetSmartwatch vitals + stress labels — mental health ML.PhysioNet restricted
MIMIC-IV v3.1Flagship 380k-patient de-id EHR; ED + ICU tables.PhysioNet credentialed + CITI
MIETICItalian clinical-notes corpus with entity spans.PhysioNet credentialed
ODD (Opioid Behavior)Annotated notes for opioid-related behaviour NLP.PhysioNet credentialed
UK Biobank500k UK adult cohort — EHR, surveys, genetics.Controlled access
All of Us (NIH)1M-goal US cohort — EHR, surveys, genomics, wearables.Registered + Controlled tiers
TCGA~11k patients across 33 cancer types — multi-omics + clinical.Partially open
AmsterdamUMCdbFirst open European ICU DB — 23k admissions.DUA required
ADNILongitudinal Alzheimer's — serial MRI/PET, clinical, biomarkers.Free non-commercial
ABCD Study10k youths — neuroimaging, cognitive, mental health, genetic.NIMH controlled access
NHANES (CDC)US national survey — health, nutrition, lab data.Public domain
CheXpert (original)224k chest X-rays, 65k patients — labeled findings.Free non-commercial
EchoNet-Dynamic10k+ cardiac ultrasound videos with EF + ventricle volumes.Non-commercial
SyntheaRealistic synthetic patient records — full EHR.MIT
1000 GenomesWGS from ~2,500 diverse individuals — human variation reference.Open access
DementiaBank (Pitt)Speech recordings + transcripts from Alzheimer's patients + controls.Consortium access
VitalDB6,300+ surgeries with continuous high-freq vital sign waveforms.Open, registration + DUA
Medical Segmentation Decathlon10 open datasets for 3D medical image segmentation.CC BY-SA 4.0
PANDA10k+ prostate biopsy WSIs with Gleason grades.CC BY 4.0
05 · Conferences

AI & health conferences

Borrowed from Raihan Faroqui's healthcare AI resource guide. Filter to find your tribe.

06 · Jobs

Job boards that don't suck (as much)

What they are. Not endorsements — just the lay of the land.

07 · Startup

So you want to build a startup

But don't know anything about tech/stack, marketing/sales, finances, management.

1984 VC

Scrub Capital

Redesign Health

Flagship Pioneering

08 · Life

Life hacking / survival

Because clinician-builders need to not burn out.

09 · Experiments

LLM matrix tests (alpha)

Testing out LLMs with fake patient scenarios generated by GPTs.

LLM Rubric

GPT fake case #1

Sepsis markdown (Claude)

Healthcare AI resources

10 · Archive

Past events

Where we've been.

Fall 2025 Conference
TimeSpeakerTalk
1:00pTBDWelcome
1:10–1:22pJosh Mandel, MDConversational Interoperability for Prior Auth and Beyond — MCP, A2A, and the Unreasonable Effectiveness of Making Data Accessible
1:35–1:47pJung Hoon Son, MDData CPR: How LLMs Revive Buried Clinical Insights
2:00–2:12pJason Theobald, MDContain Multitudes: A Docker Intro
2:25–2:37pCalvin Johnston, MDSoftware Design and Family Medicine: Overlapping skill sets
2:50pTBDWrap-up
Summer 2025 Conference
TimeSpeakerTalk
1:00pKevin Maloy, MDWelcome
1:10–1:22pVishnu Ravi, MDDigital Health that Ships: An Open Framework You Can Use Today
1:35–1:47pAlex Dummet, MDTopic TBD
2:00–2:12pPawan Jindal, MDStartup Survival 101: A Clinician's Guide
2:25–2:37pOmar Usman, MDChange Data Capture (CDC): A Defiant Approach
2:50pKevin Maloy, MDWrap-up
Fall 2024 Conference (Nov 9, 2024)
TimeSpeakerTalk
1:00pKevin Maloy, MDWelcome
1:10–1:22pPaulius Mui, MDFrom 0 to 1: Becoming a Clinician Who Codes
1:30–1:42pBrian Fung, PharmDPath of the Clinician Engineer
1:50–2:02pJoe Izzo, MDThe Coding CMIO — it's okay to get your hands dirty
2:10–2:22pKarambir Khangoora, MDLearning to Code as a Clinician: Building Medagogy
2:30–2:42pJoey LeGrand, PharmDOne Brain Can Be Better Than Two
2:50pKevin Maloy, MDWrap-up
Podchat — Should Hospitals Mandate GenAI Training? (Aug 29, 2024)

Listen to a short podcast, then talk about whether it's right or wrong. Original from Bill Russell at This Week Health. → Meetup event