Applied AI system · Specialty healthcare network

Cutting referral triage from days to hours across five clinics.

Time-to-decision

−75%

Urgent case SLA

< 1 hr

Clinics live

5 / 5

The problem

Every incoming referral was a mix of faxed PDFs, portal forms, and free-text notes. Triage nurses were the bottleneck, and urgent cases sat in the queue for days.

What we did

  • 01

    Built a structured intake pipeline that normalizes every referral into a common schema.

  • 02

    Layered a domain-tuned classifier for urgency, specialty, and completeness of documentation.

  • 03

    Kept clinicians in the loop with a review queue that lets them override and re-train.

The outcome

Time-to-decision dropped by 4×, urgent cases surface within the hour, and audit trails satisfy compliance without extra work.

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