From the firm's own write-upReceipt no. 9390
What sucked
Nurse reviewers manually evaluated unstructured clinical documents (faxed, typed, and handwritten records) to determine medical necessity, causing slow turnaround, inconsistent evaluations across reviewers, and mounting manual burden as case volume rose, alongside strict HIPAA compliance and audit demands.
What they built
LaunchPad Lab built an AI-powered document-processing assistant that extracts patient details and provider requests from EHR records, aligns cases with evidence-based Milliman Care Guidelines, and generates structured recommendation drafts formatted in the EHR. Every action is logged for audit, keeping nurses in a human-in-the-loop validation role.
What changed
3-4 days → <24h
Claim turnaround reduced
85-90% accuracy
Guideline-aligned recommendation drafts
Scale w/o headcount
Nurses process more cases with consistent, audit-ready outputs
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