Healthcare

Document automation for health claims

70% of manual claims effort removed

Mid-marketDocument overloadPython

0%

Manual effort removed

0 days

Faster settlement

0%

Extraction accuracy on clean inputs

Context

The situation we walked into.

Claims arrived as scans in dozens of formats and were keyed by hand into two systems.

Approach

  1. 01

    Built layout-aware extraction with business rule validation

  2. 02

    Designed exception queues with SLA timers before automating the happy path

  3. 03

    Integrated with the claims and finance systems via API

  4. 04

    Instrumented benefit tracking for the finance team

Result

What changed for the business.

Straight-through processing now handles the majority of volume, with humans focused on genuine exceptions.

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