Healthcare · sub-niche
Voice-first EHR.
EHR you talk to, not click through. The Suki / Abridge category extended to full charting.
Team-sized buildSteady — one deal per month
Why now
Voice models are finally accurate enough for medical terminology. Provider burnout is the budget unlock.
What the signal looks like
Repos with high-fidelity STT, medical-NER libraries, and EHR write-back integrations.
Public examples
We name publicprojects + categories only — never founders we track inside the paid product. The buyer’s edge stays inside the product.
- Suki AI assistant
- DeepScribe shape
- Open-source medical STT
What this displaces
Typing into Epic for 2 hours after every shift.
Our build-vs-invest call
Hard to build. Easy to demo. The moat is integration depth + clinical accuracy + EHR write-back. Fund with prior healthcare SaaS team.
Common questions about this niche
- Buyer?
- Health systems and large physician groups.
- Pricing?
- $200-500/clinician/month.
- What kills this?
- Epic or Cerner shipping native voice. Inevitable but slow.
More inside Healthcare
- AI scribe for specialists — AI medical scribing for non-primary-care specialists where the workflow is different.
- Clinical trial recruitment software — Patient matching for clinical trials, with AI eligibility screening.
- Chronic condition monitoring apps — RPM for diabetes, hypertension, CHF — AI-aware monitoring with caregiver-facing dashboards.
- Telehealth prescription routing — ePrescribe APIs that handle the controlled-substance + state-by-state mess.