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.

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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.

What would it actually take for you to trust ChatGPT next to the chart?

Becker's Hospital Review · Sep 8, 2026

Every clinical IT leader Becker's talked to landed in the same place: the model can be right and still be unusable, because nobody can audit it against the record fast enough to act on it. What people actually want isn't accuracy — it's provenance, output that points back to a specific note, lab, or med so you can verify in seconds instead of re-reading the whole chart. That's a product requirement, not a governance footnote. The companion piece, 32 clinical IT leaders' watchouts, says the same thing from the other side: a tool has to earn its slot in the workflow, and "the model is impressive" has never been the argument that wins.

Five years, $5.58 billion in losses, zero FDA-approved AI-discovered drugs.

Sergei Polevikov, AI Health Uncut · Sep 7, 2026

Six leading AI drug-discovery companies have booked $458.7 million of cumulative revenue against $5.58 billion in losses over five years, and there is still not one FDA-approved AI-discovered drug in the US. BioXcel filed Chapter 11 in August with an approved, AI-branded product already on the shelf. The structural problem: AI compresses Phase 1, which is about five percent of R&D cost. Phase 3 is fifty-two percent, and no model shortens it.

Haters842 venture rounds since the Nobel went to protein folding, and the only profitable company in the cohort is the one that mostly sells software. Turns out "we found the molecule faster" was never the expensive part — and Novartis losing an 8,323-patient Phase 3 the same week, with no AI anywhere near it, is the control arm nobody asked for.

Is the FDA really going to make our model do a residency?

Christian Pean, MD, Techy Surgeon · Sep 7, 2026

CDRH published a discussion paper on August 18 laying out a competency-based path for generative-AI medical devices, borrowed directly from how medicine credentials a physician: a structured knowledge assessment up front, a period of supervised practice with widening independence, then continuous evaluation that never ends. It's a discussion paper, not a rule — but it signals the agency has stopped trying to fit stochastic models into a one-time clearance and started treating them as trainees who never graduate.

BuilderDocket FDA-2026-N-7874 closes October 19. If you're building anything generative that touches a clinical decision, the shape of your post-market evidence obligation is being decided in a comment window that's open right now, and the people who file will be the ones whose operational reality shows up in the final framework.

Who signs the note when the model reads the plaque better than six radiologists?

npj Digital Medicine · Sep 2026

A cascaded model assessed carotid plaque vulnerability from routine B-mode ultrasound across 6,618 high-risk patients and 38,090 images at four centers, outperformed six human readers, and independently predicted ischemic cerebrovascular events at a hazard ratio of 2.09 over a median 37 months. That's a real result on a cheap, ubiquitous scan. An Annals of Internal Medicine editorial published alongside it asks the question the trial can't answer: when the tool is better than the reader, what exactly is the reader accountable for, and what does meaningful human oversight look like when overriding the model is the riskier act? Nobody has a standard yet. Everybody has liability.

Ambient AI became standard infrastructure. Nobody has shown it pays for itself.

Lifers · Peter Lee (Microsoft) & Chris Longhurst (Seattle Children's) with Christina Farr · Sep 8, 2026

Peter Lee — who helped build the category — is the one saying it. Clinicians love it, patients notice the eye contact, and health systems on grocery-store margins are paying for it with no direct revenue line. Smaller systems that never coded well are seeing real lift; payers are watching admin costs climb. Improving the experience and improving the finances turned out to be two different projects. "We are improving the experience of healthcare, but are we actually making an improvement financially for a system that's under stress?"

80/20Skip the scribing debate. Lee's actual thesis is that the money is in coordination friction — the referral that takes three appointments and four months to become one consult. Compress that and a system processes more patients per year at lower daily burden. That's the complete win. Documentation was never it.
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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