Executive Summary
A composite 12-hospital system reduced its 7-day post-discharge readmission risk flags by 28% and cut prior authorization cycle time for low-risk cases by 41% by shifting from documentation copilots to explicit workflow operators. The shift required defining care pathways as state machines with P&L owners, not as generic AI summarization tasks in a central cost pool. This move reclaimed over 3,500 care coordinator hours per month previously lost to manual chart review and inbox triage across the initial three targeted pathways.
The Challenge
Healthcare’s primary operational bottleneck is rarely diagnosis—it is coordination. Post-discharge follow-up, preventive screening, prior authorization, and cross-specialty handoffs fail when workflow state lives in scattered clinician inboxes, siloed payer portals, and unstructured electronic health record (EHR) notes [1][2]. The result is a system that reacts to failures—readmissions, missed quality measures, care delays—rather than proactively managing the milestones that prevent them.