Healthtech community
Clinical tools that hold up on a busy ward.
Clinics run on paper registers, shared devices and intermittent power. One nurse may see sixty patients a day. Software here has to work offline, respect patient data law and earn a clinician’s trust in seconds.
Open to every member. Join now and help shape what it builds next.
What we work on
Four problems define this community’s work right now. Every sprint, review and essay here comes back to one of them.
Triage and early warning
Surfacing high-risk patients from intake data so scarce clinicians see the right person first.
Records that interoperate
FHIR and EHR integration that survives the systems hospitals actually run, not the ones in the spec.
Clinical NLP
Extracting what matters from notes written fast, in mixed languages, by tired people.
Safety and validation
Evaluation, bias checks and audit trails that a medical board and a data commissioner will both accept.
Questions we are working through
No one has settled these yet. They come up in every sprint, and members argue them out in essays and reviews.
- How do you validate a triage model when the ground-truth diagnosis is itself uncertain?
- What should a clinical tool do when it is offline for three days and then reconnects?
- Who is accountable when a model and a clinician disagree?
Our impact
- System in Healthtech we have built and shipped
- 1
Shipped in Healthtech
- PimaClinical Diagnostics · Uganda · 2024
Predictive diagnostics that surface high-risk patients from intake data, integrated with EHRs.
12 clinics live90k patients screened
From the field
No essays here yet. Members write about what actually happens on the ground, and every essay is edited before it is published. Apply to write
Your first build
New members pick one of these for their first month. Each is small enough to finish and real enough to show an employer or an investor.
An offline-first intake form
Capture patient intake on a shared tablet, survive days offline and sync without duplicates.
- PWA
- Sync
- Data models
A risk flag for intake data
Flag high-risk patients from vitals and history, and show the clinician why each one was flagged.
- ML
- Explainability
- Evaluation
A FHIR bridge
Move records between a legacy clinic system and a FHIR server without losing meaning.
- FHIR
- APIs
- Testing
Words you will hear
New here? These come up in your first week. Plain meanings, no jargon.
- Triage
- Sorting patients by how urgently they need care, so the sickest are seen first.
- FHIR
- A standard format for exchanging health records between systems.
- EHR
- Electronic health record: the patient's chart, kept in software instead of on paper.
- Sensitivity
- Of the patients who really have a condition, the share a test catches. Every one it misses is a patient sent home.
Who you will meet
- Engineers building clinical and lab systems
- Doctors, nurses and pharmacists who code or want to
- Health data scientists
- Founders in diagnostics and care delivery
How the community runs
- Every week
Build sprint
Bring a real problem from your work in the sector. Leave with progress, reviewed by people who have shipped the same thing.
- Every week
Office hours
Drop in with a model that will not converge, a regulator question or a hiring decision. Practitioners answer.
- Every month
Demo day
Members show working systems to the community, mentors and invited investors. Demos, not decks.
The team behind it
Lead the Healthtech community
We are looking for experienced practitioners to lead this community: host one session a month, review members’ work and shape what it builds next.
Tell us about your workJoin the Healthtech community
One payment of $15 makes you a member for life: every community, its sprints, reviews and events. No subscription.