Policy That Computes: Harmonizing Evidence, Care, and Reimbursement

The development and administration of health plan policy is often slow, manual, and error-prone. Policies intended to guide care and payment are often ambiguous and difficult to interpret, contributing to waste in healthcare administration that has surpassed $265 billion.

A ground-up approach to digitally native policy, structured for machine readability and vetted by clinical experts, replaces this with criteria that execute as decision trees, supporting electronic prior authorization, pre-payment claim editing, and other automated processes in milliseconds.

Read the white paper to see how.