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.

The White House sits down with OpenAI, Anthropic, Google, and Meta today — about the models inside your EHR

Becker's Hospital Review · Aug 4

Today's meeting is about building a government review framework for frontier models before public release, extending the voluntary 30-day pre-launch access system from June's executive order. The open questions are the operational ones: how "frontier model" gets defined, and which office runs the review. If your ambient scribe, inbox drafts, and chart summarization all ride on these four labs' models, a pre-release review step quietly becomes part of your upgrade cadence — and your vendors' release notes just acquired a federal dependency.

80/20The review isn't the thing that matters — the definition is. Whoever writes the threshold for "frontier model" decides whether this touches two labs or every model sitting under your EHR integrations.

Amgen's patient data walked out of someone else's cloud

BleepingComputer · Jul 31

Amgen filed an 8-K saying attackers pulled patient health information and proprietary data out of multiple third-party cloud environments — detected in July, declared material on July 29. No cloud provider named yet, no headcount yet. The detail worth sitting with: the breach lived entirely in vendor clouds, not Amgen's own data center. Our real exposure is the BAA list — worth checking which of your third parties hold PHI, and when you last verified their controls instead of their attestations.

ONC wrote FHIR prior auth into the hospital payment rule — the pilot era is over

HealthIT.gov · Aug 2026

The Da Vinci prior-auth and payer-exchange implementation guides — PAS, CRD, DTR, CDex, PDex, plus CARIN Blue Button — are now adopted standards inside the FY2027 IPPS final rule, effective October 1, 2026. Electronic prior authorization has spent years in demo land. Putting these FHIR guides into the inpatient payment rule attaches them to how hospitals actually get paid, which is the only adoption mechanism that's ever worked in health IT. If your roadmap filed prior-auth APIs under 2027–2028, the effective date just moved into this fiscal year. Worth asking your EHR vendor this week which of the six guides they'll certify against, and when.

The $12,500 review that replaces the FDA

MIT Technology Review · Jul 30

Montana's expanded right-to-try law lets a company with a Phase I drug pay $12,500 for review by a private board, then sell the treatment directly to consumers — no FDA approval required, and no requirement that the buyer be terminally ill. The first review board, run by longevity-focused firm Infinita, has already received its first two applications: a neuropathy drug and a hearing-loss drug. Unlike FDA expanded access, companies set their own prices. Worth watching two things: whether patients start traveling for treatment, and whether malpractice carriers and health plans decide any of this is their problem.

SkepticA private board, funded by fees from the companies applying to it, reviewing drugs the FDA hasn't — at whatever price the market bears. The skeptic doesn't have to squint: it's a pay-to-play IRB with a state flag on it.

Don't license the algorithm

STAT News · Aug 3

Licensing bills for autonomous AI providers have already failed in Idaho and Iowa. Now the Federation of State Medical Boards' own leadership is arguing in STAT that AI shouldn't be licensed as a separate practitioner at all — it should sit inside existing physician accountability structures, with medical boards keeping a say, pointing to Utah's Doctronic prescription-renewal pilot as the test case. The translation for us: regulators intend for accountability to stay with the humans deploying the tools. That's us — so an AI oversight committee is the licensing board we actually control.

learn by doing

Interactives

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

Clinics Like Mine

August 5, 2026 · Source: Dr. Gigi Magan, “Zero Studies From Clinics Like Mine” (Aug 4, 2026) · MIMI Labs · HRSA Health Center Program UDS, 2024 vintage, 1,352 grantees / 32.3M patients

Every landmark ambient-scribe study ran at UCLA, Mass General Brigham, Emory, UCSF, Yale, UC Davis, Kaiser Northern California, Penn or Stanford — and none in a federally qualified health center. So here is the population that isn’t in the evidence, all of it on one scatter: every HRSA grantee in the country, panel size against the share of patients best served in a language other than English. 8,977,620 patients — 27.8% of the national panel — sit on that axis, and 190 grantees are above 50%. Stress test: the tilt reads r = 0.205 until you drag the minimum-panel filter to 20,000, at which point it collapses to 0.115 — it was the long tail of 552 rural grantees at a 3.4% median. Critical lens: the language field is self-reported and blind to accented English, the grain is the grantee not the clinic, and the zero is a hand-assembled absence — “none found,” not “none exist.”

Nine and 1,352

1,352 health center grantees arrive as a cloud, sort themselves into a dot histogram by the share of patients best served in another language, the 499 above 25% light up — 16.4 million patients, half the national panel from a third of the dots — and then the nine academic settings where the evidence was actually generated slide in underneath with nothing above them. One animated field, no click-through; it plays itself and you can scrub back. Alongside: the PNAS audit of five commercial speech-recognition systems, word error rate 0.35 for Black speakers against 0.19 for white. Critical lens: one dot is one grantee, not one clinic and not one patient, so the tall left stack over-represents small rural organizations; the language field is blind to accent; the nine is an absence assembled by hand from 41 checked references.

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