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.

Why is every vendor suddenly shipping a nurse agent when nurses were the ones who never adopted ambient?

Becker's Hospital Review · Sep 14, 2026

Because the physician version worked and the nurse version never shipped — the two facts landed in the same news cycle. Oracle Health put an EHR-embedded agent in front of nurses this week — voice charting, search, acute shift summaries — and says its physician-facing version has saved 400,000+ clinician hours since launching about two years ago. BayCare is the early pilot. Same week, Advocate Health CIO Bobbie Byrne and Penn's Mitchell Schnall told a Becker's audience that ambient documentation adoption stalled first among nurses, for a boring and correct reason: nurses chart in flowsheets, not narrative. Ambient scribing was built to turn speech into prose. Nursing documentation is structured fields.

80/20The one thing that matters: this is a data-model problem wearing a change-management costume. If your nurse pilot is being evaluated on adoption rates, you'll get a nurse-satisfaction answer to a question about whether the tool can write to a flowsheet at all. Ask what percentage of required fields it populates without a human touching them, and you'll know in a week.

Our AI vendor's CEO just asked the industry to slow down. Are we supposed to slow down?

Becker's Hospital Review · Sep 12, 2026

No — but you should notice that this is the first time a frontier vendor's own risk language reached your governance committee before your compliance team wrote it. Dario Amodei's Sept 12 essay "We Must Pace the Frontier" argued for a deliberate safety slowdown following an incident involving a misaligned agent swarm. That lands differently in health care, because Banner Health, CommonSpirit and Stanford Health Care have already deployed Claude for Healthcare. Altman, Musk and Nadella echoed versions of the same message within days. Nothing in the essay changes what a deployed model does tomorrow. What changed is that "the vendor told us it was safe" is no longer a defensible sentence in an incident review — the vendor is on record telling you the category is moving faster than its own controls.

HatersFour companies in a capability race discovered safety in the same week, one of them reportedly while chasing a $2 trillion IPO. China's state press called it a Cold War playbook; the White House declined to join. Read the essays, absolutely. Just don't confuse a coordinated tone shift with a coordinated slowdown, and don't let it become the reason your own eval process gets deferred another quarter.

Regulate the chatbot later. The prior-auth algorithm is already in court.

Wendell Potter · Sep 14, 2026

State AI regulation is moving faster than the federal frameworks still getting the headlines. Colorado already requires bias audits and guaranteed appeal rights for AI-driven coverage decisions; California and Texas require a licensed physician — not an algorithm alone — to sign medical-necessity denials. UnitedHealth and Humana are being sued over nH Predict, and a federal judge let the Cigna PxDx case proceed on the theory that software substituted for individualized medical review — ProPublica put that one at roughly 1.2 seconds of physician time per claim. If your organization makes coverage or triage determinations algorithmically, the operative standard isn't a draft in Washington. It's already written, and it's written in state law.

$16B, 5 million members, and no founders on the cap table.

Healthtech Off The Record · Sep 14, 2026

Oura is reportedly targeting a $3B raise at a $16B valuation, on $1.5B+ of annual revenue run rate, 5 million paid members, low churn, and profitability at the core business. The path there ran from a ~$2M seed in 2015 to a $970M Series E, interrupted by ~$1.5B of buybacks that cleaned up the cap table. Early investors are looking at 300-400x; Forerunner already took a partial exit at a $7B tender and still holds an estimated $660M+. But the founders appear nowhere in the S-1 as officers, directors, or >5% holders — they exited early. Roughly $2.1B was left behind across four tenders that each priced below the round that followed, and the former CEO has a pending suit alleging he was misled into one of them.

Abridge walked into the revenue cycle without touching a single code.

Fierce Healthcare · Sep 14, 2026

Abridge's new pre-bill review tool compares the coded diagnoses and DRGs against the clinical documentation its scribe already captured — before anyone submits the claim — and flags mismatches for CDI and coding. It doesn't change codes; it hands humans a discrepancy list. Reid Health is early on it. The strategic read: documentation capture was never really the product. It was the wedge into everything downstream of the note — and a scribe vendor calling about your claims is what that wedge looks like in practice.

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