---
title: "Voice-first EHR — niche opportunity inside Healthcare"
url: https://signals.gitdealflow.com/niche-down/healthcare/voice-first-ehr
description: "EHR you talk to, not click through. The Suki / Abridge category extended to full charting."
source: VC Deal Flow Signal
---
# Voice-first EHR

> EHR you talk to, not click through. The Suki / Abridge category extended to full charting.

**Sector**: [Healthcare](https://signals.gitdealflow.com/niche-down/healthcare)  
**Build cost**: Team-sized build  
**Deal velocity**: Steady — 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

*Public projects + categories only — we never name founders tracked inside the paid 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.

## Frequently asked

### Buyer?

Health systems and large physician groups.

### Pricing?

$200-500/clinician/month.

### What kills this?

Epic or Cerner shipping native voice. Inevitable but slow.

## Canonical

https://signals.gitdealflow.com/niche-down/healthcare/voice-first-ehr