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.

AI assistance took fetal ultrasound sensitivity from 54% to 88% — no specificity lost

npj Digital Medicine · Jul 2026

In a 13-physician study reading 750 fetal ultrasound stills, FDA-cleared AI assistance lifted mean AUC from 68.9% to 90.9% and cut interpretation time nearly in half. The number worth leading with is sensitivity — 54.2% unassisted versus 88.5% with the tool, with no drop in specificity. Prenatal anomaly detection is famously reader-dependent, tracking training and volume more than almost anything else in imaging, and this is one of the clearer demonstrations that AI compresses that variance from the bottom up rather than just nudging the experts.

Abridge just bought a company whose whole job is clicking buttons for you

John Lee, MD · Jul 2026

Abridge acquihired Altrina, a browser-automation startup whose agents turn a demonstrated workflow into a bot that can drive a browser or hit APIs indefinitely — aimed at claims, prior auth, and trial screening, not ambient notes. At Abridge's own recent hackathon, ambient documentation — the product that made them — barely came up. Between the Eli Lilly investment, the NVIDIA partnership, and now this acquihire, the best-funded scribe company in health AI is behaving like it decided the scribe was the wedge, not the business.

BuilderThe best-funded company in the category just paid for people who can make a browser click the right button four hundred times without breaking. Permissionless integration is a hiring problem before it's a technology problem.

The FDA just opened a fast lane for chronic-disease AI, and Dexcom is first through it

FDA · Jul 22

The FDA named Dexcom the first participant in TEMPO, a pilot that lets the agency waive certain premarket requirements so digital health tools can be tested inside CMS's new ACCESS model. Dexcom's play is an AI glucose program layering G7 and Stelo sensor data with nutrition, activity, sleep, and stress inputs. The bigger story is structural — FDA and CMS are now running coupled experiments, one relaxing regulatory friction while the other supplies the patient population and payment rationale. For anyone building in chronic care, the path from device data to AI coaching to Medicare-adjacent coverage just got a named front door.

1.4 million billing disputes in six months — and three filers own more than a third of them

Fierce Healthcare · Jul 2026

New CMS data shows No Surprises Act arbitration has become an industrial channel rather than a backstop: nearly 1.4 million disputes were filed in the second half of 2025, up 16% from the first half. Billing intermediary HaloMD alone filed 19% of the total, with TeamHealth and SCP Health close behind — the top three account for about 38% of all volume, and the winning offer beat the insurer's proposed rate in roughly 87% of decisions. Whoever built the filing machine first is getting paid; the open question is whether Congress reads that as providers finally getting their due, or as a process being gamed at scale.

80/20Whoever built the filing machine first is capturing the value. The next amendment to this law gets written around how Congress answers that question.

Your EHR remembers what you decided. It doesn't remember why you overrode the default.

Doug Fullington, MD · Jul 27

Fullington's case is a low-Wells-score patient whose ultrasound found a real DVT anyway — the chart preserved the result but not the moment he judged the "safe" guideline default insufficient. He wants clinical AI trained on four things: the default the system expected, what the clinician chose instead, what changed the threshold, and what happened after. An override log tells you a clinician chose B after the system proposed A — not why A was wrong, or whether the exception generalizes.

BuilderThat "why" is a dataset nobody in clinical AI has yet, and capturing it starts as a product decision, not a research grant.

Read the full wire ↗

learn by doing

Interactives

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

Cleared Before Measured

July 29, 2026 · Source: Chalouhi et al., npj Digital Medicine — multireader fetal ultrasound study (Jul 28, 2026) · MIMI Labs · FDA 510(k) release, imaging-AI product codes, decisions through Jul 17, 2026

Every FDA 510(k) clearance in the imaging-AI product codes — 369 dots, 184 companies, 2016 to July 2026 — plotted against review time and colored by what the device is allowed to claim. Only 20% sit in a detection/diagnosis code; more than half just segment and measure. Raise "min clearances per company" to 5 and the median review drops 140 → 123 days; filter to first submissions only and it climbs to 172. Critical lens: nothing in the 510(k) record says whether anyone ever ran the unassisted arm.

The Unassisted Arm

July 29, 2026 · Source: Chalouhi et al., npj Digital Medicine, published Jul 28, 2026 · device: Sonio Suspect, FDA K243614 · study funded by Sonio, a Samsung company

All 750 fetal ultrasound stills from yesterday's multireader study on one field — 250 abnormal, 500 normal — with the AI switching on and off. Unassisted, 13 U.S. physicians caught 136 of 250 abnormalities and agreed with each other 26% of the time. Then the stress test the study didn't run: drag prevalence from the enriched 33.3% down to a real 3% anomaly screen and PPV falls from 78.5% to 18.4%.

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`