Meridian Health · Healthcare

AI Triage Assistant That Cut ER Intake by 38%

38% reduction in ER intake time

AI Triage Assistant That Cut ER Intake by 38% gallery image 1

AI Triage Assistant That Cut ER Intake by 38% gallery image 2

AI Triage Assistant That Cut ER Intake by 38% gallery image 3

The challenge

Meridian Health's emergency departments were buckling under intake delays, with patients waiting an average of 26 minutes before triage. Manual paperwork and inconsistent symptom capture were the root causes.

Our solution

We built an AI-assisted triage assistant grounded in Meridian's clinical protocols. The system uses RAG over their internal protocol library, structured symptom capture, and real-time clinician handoff. HIPAA-compliant, deployed across 14 sites.

Technologies used

Next.js

LangChain

Pinecone

GPT-4o

HL7 FHIR

AWS HealthLake

Twilio

Want results like these?

Tell us about your initiative. We'll bring a senior team to the kickoff call.

Start a Project Explore Services