AI Case Study: See how we cut 34 hours/week of manual lead triage with autonomous AI pipelines
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Healthcare & Specialized Medicine -26 hrs/week doctor triage Rapid Architecture Sprint

CareBridge: Autonomous Patient Intake & Clinical Triage

Engineered a HIPAA-compliant multi-agent patient triage pipeline that structures medical intake surveys, checks insurance eligibility, and routes urgent cases to on-call specialists in 90 seconds.

-26 hrs

Doctor Triage Time Cut

Clinical staff focus 100% of morning hours on patient care

90 sec

Urgent Alert Dispatch

Down from 6.5 hours of manual queue wait time

99.8%

Insurance Data Match

Zero manual claim re-submissions

The Operational Challenge

Where Systems Were Failing

Doctors and triage nurses spent 4-5 hours every morning reading unstructured PDF patient intake forms, manually checking EHR insurance eligibility, and flagging high-risk symptoms, delaying urgent clinical consultations.

The SystemFixAI Engineering

How We Architected the Solution

Designed a private HIPAA-compliant multimodal LLM pipeline on Supabase and n8n with strict deterministic safety guardrails. Patient submissions are parsed into HL7 FHIR formats, insurance benefits are verified in real time, and high-risk cases trigger instant encrypted alerts.

Integrated Technologies:
n8n Gemini Supabase Twilio PostgreSQL Docker

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