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.

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.

Did the FDA just write a device category with our product's name on it?

Federal Register · STAT News · Sep 11, 2026

If you flag likely cardiovascular disease from non-invasive inputs, this is your precedent now. FDA's final order creates a new Class II category — cardiovascular machine learning-based notification software — off a De Novo request from Viz.ai's Viz HCM, which means the next tool in this space follows a path instead of arguing for one. Read the special controls, not the classification: they attach conditions on training-data diversity, subgroup performance reporting, and overreliance risk. That last one is the interesting word — FDA is now naming the clinician's behavior around the alert as something the sponsor has to manage, a labeling and human-factors obligation, not a model-performance one. Same week, the agency cleared the "Queen of Hearts" EKG algorithm for occlusion MI the standard read misses. Both products are notification software. Neither diagnoses. The regulatory center of gravity in cardiac AI has moved to who gets told, how fast, and what happens when they stop checking.

OpenAI just plugged ChatGPT into Epic's patient base. The point-solution market noticed.

Lauren Curtis, Hey Health Tech · Sep 11, 2026

ChatGPT for Healthcare can now connect directly to Epic, letting an authorized clinician synthesize notes, labs, meds and specialist documents inside the workflow — across a base north of 325 million patient records. The consolidation nobody is tracking here isn't M&A, it's platforms absorbing features. Epic says more than 85% of its customers now use some form of Epic AI and still doesn't grow by acquisition — it doesn't have to. Meanwhile health IT and digital health is the largest healthcare M&A segment by disclosed value in the first half of 2026, so the money is moving too. The question for anything sitting between a clinician and a chart is which of three moats you actually hold: genuine uniqueness, independent distribution, or integration deep enough that ripping you out costs more than the feature is worth. Most point solutions have been quietly relying on a fourth — that nobody big had gotten around to it yet.

80/20Summarization was never the product. It was the demo. The durable version of your company is whatever you do with the write-back, the accountability, or the workflow the platform doesn't want to own — and you have roughly one funding cycle to find out which one that is.

Is your AI agent entitled to the data, or only the clinician behind it?

Ruth Reader, Second Opinion · Sep 10, 2026

Unresolved, and it just got more unresolved. ONC's HTI-5 final rule is landing without the proposed information-blocking fixes — including the provisions that would have narrowed the exemptions for withholding records and extended the framework to autonomous and agentic systems requesting them. Epic argued ONC exceeded its statutory authority, and the AHA opposed the changes too. Word is the rule finalizes in the next couple of weeks. Design as if your agent has no standing of its own: every request rides on a named human's authorization, logged, with an audit trail that proves it. HTI-6 now carries all the pressure, which means this question gets answered on somebody else's timeline.

HatersFive rules into the Cures Act and the agentic-access question gets punted to rule six. The vendors who complained about ambiguity are the same ones who just won by preserving it. Don't build a roadmap assumption on a regulation that's been "a couple weeks out" before.

Why did Delaware spend its rural health money on prior authorization?

Hospitalogy · Sep 10, 2026

Because it's the only line item where the waste is measured in physician-hours and everybody already agrees it's broken — physicians report roughly 13 hours a week on prior auth, and smaller and rural practices absorb the worst of it. Delaware's plan is a $50M bet, the only Rural Health Transformation application that explicitly targets prior auth, and the design choice is the part worth stealing: N-by-1 instead of N-by-N. Providers keep clinical records, plans keep coverage decisions, and the shared layer carries only the request, the evidence, the status and the response — deliberately not a data repository. Their stated fear is the right one: federal prior-auth API rules hit Medicare Advantage, Medicaid, CHIP and Marketplace plans in January 2027, and if every plan connects separately to every provider, the industry rebuilds the fax tangle in JSON and calls it interoperability.

BuilderThe thin-waist design is doing the work: identity, routing, status, receipts, nothing else. If your prior-auth product's value proposition is the connections you've painstakingly built one at a time, a neutral shared layer isn't a partner — it's the thing that makes your moat a commodity. Better to be an endpoint worth routing to.

The fax won. One health API guy's fix is to build something equally dumb, on purpose.

Health API Guy, Brendan Keeler · Sep 11, 2026

His premise is that ubiquity beats elegance every time — a technically superior network reaching 70% of counterparties loses to an ugly one reaching 99%. AI has made the old analog rails cheaper to use (voice agents sitting on hold, agents reading faxes) without producing a single new ubiquitous digital one. The failure mode he names is cacophony: when both sides automate, outbound agents meet inbound voice AI, volume explodes, and humans get crowded out of their own network. His proposal is a deliberately dumb layer — identity, permissions, routing, trust, receipts — with all the intelligence at the endpoints, and he thinks only the federal government has the leverage to force adoption fast enough, because that's the only thing that's ever worked in this industry.

BuilderIf you're building an agent that talks to other organizations, you're currently paying the integration tax and calling it a moat. Read this as a warning about what your cost structure looks like the day a neutral routing layer exists — and design so your value lives at the endpoint, not in the plumbing.
learn by doing

Interactives

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

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.

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

02 · Communities

Communities, courses, substacks

Where clinician innovators and clinician builders are hanging out.

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.

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 flowfhir.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.

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.

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