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.

Duke built a chart-summarizing AI because nobody would sell them one

Becker's Hospital Review · Jul 2026

Duke's in-house tool, Scout, sits inside Epic, reads the entire chart — notes, labs, imaging, pathology — and returns a source-linked summary in one to three minutes. It went enterprise-wide this month, and a preprint RCT found clinicians finished chart-review tasks about 40% faster with 40-50% less cognitive workload. Duke says it surveyed the market and found no vendor offering full-chart, source-linked summarization, so they shipped it themselves — a real data point in the build-vs-buy argument CMIOs have mostly been losing on principle.

BuilderThe moat here wasn't the model — it was chart access plus provenance. Every claim in a Scout summary links back to where it lives in the record. If your product summarizes without receipts, Duke just handed every health system build team an existence proof that clinicians prefer the version with them.

The general models just beat the clinical AI we pay for — at its own game

Matthew Rothstein · Second Opinion · Jul 29

A new NYU study in Nature Medicine had twelve blinded clinicians grade real physician queries pulled from use at NYU Langone, and general-purpose models beat OpenEvidence and UpToDate Expert AI by roughly 10-14% on real-world clinical questions. The specialized tools scored about as well as Google Search. What you're actually buying from a clinical-AI vendor is workflow, citations, and someone who answers the phone — but this study means every one of them now has to prove their delta over a frontier-model baseline before your next renewal conversation.

An algorithm just earned a permanent seat on the rapid response team

NEJM AI · Jul 29

A New Jersey health system paired a real-time deterioration model with automatic rapid-response activation — no human deciding whether to call — and inpatient mortality was lower. Most early-warning deployments stop at an alert in the EHR, and alerts get ignored; this one wired the model directly to the response, so the algorithm fires and the team walks. It's an association study, not a randomized trial, so hold the victory lap — but it's more evidence that deterioration models fail at the last mile, not the math, and the fix is closing the loop between prediction and action.

Eighteen states passed AI healthcare laws this year — good luck shipping one feature everywhere

Sam Ashoo, MD · Jul 29

Eighteen states passed AI healthcare laws in 2026 across five buckets: nine now require human review of AI-influenced coverage denials, six ban AI psychotherapy outright, California layered on disclosure rules, and Texas is the only state that affirmatively lets AI diagnose — with disclosure and Medical Board review. Meanwhile a bill in Congress, H.R. 238, would let AI qualify as a prescribing practitioner, which contradicts most of the state restrictions. If you're building anything patient-facing, you need the state-by-state matrix before the roadmap conversation, not after.

Where does HIPAA go when your health record enters ChatGPT? Nowhere.

Sergei Polevikov · Jul 29

Once a patient pipes Apple Health into OpenAI's new Health in ChatGPT, the data lives with a consumer AI company, not a covered entity — HIPAA never attaches. Apple Health still has no native LLM, still can't ingest a PDF, and has effectively become a data connector feeding somebody else's chatbot. For anyone building patient-facing tools, the lesson is uncomfortable: an interop layer you spent years on can get commoditized into a feed, while the relationship and the data gravity accrue to whoever owns the conversation.

SkepticShip the consumer health feature first, let the FDA and OCR figure out later whether anyone should have. "The press release didn't address HIPAA" is doing a lot of work here.

Read the full wire ↗

learn by doing

Interactives

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

The Ex Parte Line

July 31, 2026 · Source: Tradeoffs — "Meet the Man Launching Trump's Medicaid Work Requirements Months Early" (Jul 30, 2026) · MIMI Labs · CMS Medicaid & CHIP Eligibility Processing, state-month renewal outcomes, Mar 2023–Apr 2025

All 51 reporting jurisdictions on one brushable scatter — ex parte renewal rate against procedural coverage loss, sized by volume, 69.1M renewals. Texas clears 11.8% without asking anyone for a document; Washington clears 80.6%. Nationally 8.49M people lost Medicaid on paperwork versus 4.69M found actually ineligible. Stress test: states under 300k renewals give r = −0.84 in 2024–25 and r = −0.08 in the unwinding. Critical lens: the dataset has 22 columns and none of them is the medically-frail exemption code list.

The 26%

July 31, 2026 · Source: Tradeoffs — Nebraska Medicaid director Drew Gonshorowski, published Jul 30, 2026 · MIMI Labs · CMS renewal outcomes, May 2024–Apr 2025

1,000 dots per state, drawn to the real CMS renewal ledger, animating into the split that decides everything: 55 cleared from data the state already held, 45 who had to act. Of the 31.0M renewals the automation couldn't clear, 27.4% ended in a procedural termination; of the 38.0M it cleared, none did. Then the trap — Washington has the highest ex parte rate in the country and the third-highest loss rate inside its un-cleared cohort. Automate harder and what's left is the hard cases.

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.

Fetal AI lifts 22 points 🤰, Your devices already run AI 🕵️, Part D comes off the drip 💧

⚡ Around the Wards

Read on Substack →

Duke built its own chart reader 🔦, ~80 AnMed sites go dark 🕳️, Being safe vs feeling safe 🤔

⚡ Around the Wards

Read on Substack →

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

Tool	Best for	Notes
Claude Code	Complex multi-file work, architecture	Terminal-native, large context. The power tool. Good for non-code tasks too.
Cursor	Daily coding with autocomplete + inline edits	AI IDE, huge user base.
Windsurf	Budget entry, Cascade collaboration	AI-native editor.
Copilot / Codex CLI	Repo-native GitHub workflows	Tight GitHub integration.

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.

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

Clinical datasets worth knowing

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

Name	Relevance	License
ReXGradient-160K	160k multi-site CXR + reports — vision-language radiology sandbox.	Harvard DUA, non-commercial
CheXpert Plus	Large paired CXR–report set; benchmarked in many papers.	Stanford DUA, free research
Endoscapes 2023	Open laparoscopic chole frames — segmentation / CVS detection.	CC BY-NC-SA 4.0
Surg-3M	3M surgical frames powering "SurgFM" foundation model.	TBA, expect research-only
AFRICAI Repository	Imaging sets from African centres — fairness & domain shift.	Mixed open licenses
OpenOximetry	Waveforms + skin-tone data for pulse-ox bias work.	PhysioNet credentialed
DeepLesion	32k CT slices with bounding-box lesions; detection / tracking.	NIH DUA, research-only
BioASQ Synergy 2024	Biomedical Q-A pairs — LLM eval set.	CC BY 2.5
CliniFact	Clinical-trial fact-checking corpus — fine-tune retrieval / RAG.	MIT
Hallucination Annotations	Doctor- & LLM-written discharge summaries with token-level labels.	PhysioNet credentialed
Clinical-Trial Eligibility QA	QA pairs linking MIMIC-IV to apixaban RCT criteria.	PhysioNet credentialed
PIFIR	Wearable PPG/ECG for arrhythmia-free interval prediction.	PhysioNet restricted
GREGoR R02	Rare-disease genomic + phenotypic harmonised data.	dbGaP controlled
Synthetic Rare-Disease EHRs	Benchmark synthetic EHRs for low-prevalence conditions.	CC BY
Korea4K	4k Korean genomes — ancestry diversity for variant calling.	EGA controlled
OpenNeuro	20k+ public neuro-imaging sessions; BIDS-ready.	CC0 / CC BY-SA
Bridge2AI-Voice	Multimodal speech (voice, vitals) for health AI.	PhysioNet restricted
PMDB Pain Monitoring	Wearable IMU + self-report pain diary.	CC BY 4.0
DREAMT Wearable Sleep	Apple Watch PSG pairs for sleep-staging models.	PhysioNet restricted
MC-MED	Multi-condition medical dialogue (GPT / human).	PhysioNet credentialed
Wearable Stress Dataset	Smartwatch vitals + stress labels — mental health ML.	PhysioNet restricted
MIMIC-IV v3.1	Flagship 380k-patient de-id EHR; ED + ICU tables.	PhysioNet credentialed + CITI
MIETIC	Italian clinical-notes corpus with entity spans.	PhysioNet credentialed
ODD (Opioid Behavior)	Annotated notes for opioid-related behaviour NLP.	PhysioNet credentialed
UK Biobank	500k 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
AmsterdamUMCdb	First open European ICU DB — 23k admissions.	DUA required
ADNI	Longitudinal Alzheimer's — serial MRI/PET, clinical, biomarkers.	Free non-commercial
ABCD Study	10k 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-Dynamic	10k+ cardiac ultrasound videos with EF + ventricle volumes.	Non-commercial
Synthea	Realistic synthetic patient records — full EHR.	MIT
1000 Genomes	WGS from ~2,500 diverse individuals — human variation reference.	Open access
DementiaBank (Pitt)	Speech recordings + transcripts from Alzheimer's patients + controls.	Consortium access
VitalDB	6,300+ surgeries with continuous high-freq vital sign waveforms.	Open, registration + DUA
Medical Segmentation Decathlon	10 open datasets for 3D medical image segmentation.	CC BY-SA 4.0
PANDA	10k+ 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.

jobs.heyhealthtech.com
Rock Health Capital
MDisrupt
PharmDs in IT
AMIA
General Catalyst— surprisingly good for startups
Matchday Health
Wellfound
Look for Zebras
Fractional Jobs
HealthTech Nerds Jobs

07 · Startup

So you want to build a startup

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

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.

Past events

Where we've been.

Fall 2025 Conference

Time	Speaker	Talk
1:00p	TBD	Welcome
1:10–1:22p	Josh Mandel, MD	Conversational Interoperability for Prior Auth and Beyond — MCP, A2A, and the Unreasonable Effectiveness of Making Data Accessible
1:35–1:47p	Jung Hoon Son, MD	Data CPR: How LLMs Revive Buried Clinical Insights
2:00–2:12p	Jason Theobald, MD	Contain Multitudes: A Docker Intro
2:25–2:37p	Calvin Johnston, MD	Software Design and Family Medicine: Overlapping skill sets
2:50p	TBD	Wrap-up

Summer 2025 Conference

Time	Speaker	Talk
1:00p	Kevin Maloy, MD	Welcome
1:10–1:22p	Vishnu Ravi, MD	Digital Health that Ships: An Open Framework You Can Use Today
1:35–1:47p	Alex Dummet, MD	Topic TBD
2:00–2:12p	Pawan Jindal, MD	Startup Survival 101: A Clinician's Guide
2:25–2:37p	Omar Usman, MD	Change Data Capture (CDC): A Defiant Approach
2:50p	Kevin Maloy, MD	Wrap-up

Fall 2024 Conference (Nov 9, 2024)

Time	Speaker	Talk
1:00p	Kevin Maloy, MD	Welcome
1:10–1:22p	Paulius Mui, MD	From 0 to 1: Becoming a Clinician Who Codes
1:30–1:42p	Brian Fung, PharmD	Path of the Clinician Engineer
1:50–2:02p	Joe Izzo, MD	The Coding CMIO — it's okay to get your hands dirty
2:10–2:22p	Karambir Khangoora, MD	Learning to Code as a Clinician: Building Medagogy
2:30–2:42p	Joey LeGrand, PharmD	One Brain Can Be Better Than Two
2:50p	Kevin Maloy, MD	Wrap-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

clinicians.dev

The Wire

Interactives

Builder's Briefing

What the Vibe

AI & agentic engineering

Context engineering — the foundation

Learn CLAUDE.md / AGENTS.md

Tools of the trade

Skills marketplaces

Healthcare MCPs

Agentic frameworks & orchestration

Communities, courses, substacks

EHRs, FHIR, fake patients

EHRs & FHIR

Generate fake patients

Clinical datasets worth knowing

AI & health conferences

Job boards that don't suck (as much)

So you want to build a startup

Life hacking / survival

LLM matrix tests (alpha)

Past events

Learn `CLAUDE.md` / `AGENTS.md`