Cohere Health automates clinical policy digitization for prior authorization
Cohere Health built Cohere Policy Studio using Amazon Bedrock AgentCore to automate the digitization of clinical policies that govern prior authorization in health insurance. Prior authorization remains largely manual because policies exist in static, unstructured formats across different health plans, geographies, and clinical areas. The solution uses a multi-tenant agentic architecture to convert these policies into machine-readable data, helping health plans meet CMS requirements for API-based electronic prior authorization by January 2027 and AHIP commitments for 80 percent real-time approvals.
TL;DR
- Cohere Health deployed Cohere Policy Studio on Amazon Bedrock AgentCore to digitize clinical policies governing prior authorization
- Prior authorization is a major operational bottleneck affecting hundreds of millions of patients annually, trapped in static PDFs and documents
- CMS regulations require health plans to support API-based electronic prior authorization by January 2027
- AHIP commitments require 80 percent real-time approvals for electronic prior authorization submissions across different lines of business
Why It Matters
Prior authorization is one of healthcare's most manual processes despite affecting hundreds of millions of patients yearly. Converting static policy documents into structured, machine-readable data enables consistent, computable workflows that can scale across health plans while maintaining clinical oversight. This addresses a foundational bottleneck that has resisted automation because policies vary by geography, clinical area, and line of business.
Business Impact
Health plans face regulatory deadlines and industry commitments that require modernizing prior authorization operations. Automating policy digitization reduces manual work, accelerates approval timelines, and helps meet CMS requirements for API-based electronic prior authorization by January 2027 and AHIP targets for real-time approvals. The multi-tenant architecture allows vendors to serve multiple health plans without rebuilding infrastructure.
Key Implications
- Health plans must digitize clinical policies to meet January 2027 CMS deadline for API-based electronic prior authorization
- Agentic AI systems can now handle policy digitization at scale while preserving version control, transparency, and human clinical oversight
- Multi-tenant isolation and managed runtimes reduce infrastructure complexity for vendors serving multiple health plans with different policy requirements
What to Watch
Monitor adoption rates among health plans as the January 2027 CMS deadline approaches and track whether the 80 percent real-time approval target becomes achievable through policy digitization. Watch for expansion of this approach to other healthcare workflows beyond prior authorization that are similarly trapped in unstructured policy documents.
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