Medical Necessity & Prior Authorisation (Payer Side)

The Problem

Prior authorization remains one of the highest-friction points in healthcare transactions. Approximately 80% of prior authorization denials stem from incomplete or missing clinical documentation, yet manual review cycles take 2 to 5 business days. For time-sensitive cases (surgeries, emergency treatments), this delay can compromise clinical outcomes. Payers simultaneously struggle with inconsistent application of medical policy rules across their review teams, leading to unnecessary variation in approval/denial rates.

Data Requirements

Data Sources:

• Epic/Cerner/Allscripts , unstructured clinical notes, medication lists, prior treatments
• Facets/QNXT (payer system) , medical policy rules, prior authorization history, member eligibility
• Cohere Health / Olive AI API , provider documentation status, authorization workflow state
• External provider systems (via HL7 feeds) , structured FHIR clinical events
• CMS/state formulary and coverage databases , authoritative decision rules

Data Classification:

• Public: CMS policy guidance, state regulatory requirements, published medical society guidelines (AHA, ACS, ACR)
• Internal Structured: Payer medical policy PDFs, prior authorization decision rules, member eligibility tables, provider contract terms
• Internal Unstructured: Unstructured clinical notes (provider scans, EHR free text), prior authorization case history, denial patterns
• External Third-Party: FHIR HL7 clinical feeds from provider EHRs, external lab/imaging results, pharmacy feeds
• Sensitive/Regulated: All member health information is PHI; clinical notes are highly regulated; authorization decisions are subject to HIPAA and state insurance regulations

Data Quality Requirements:

• Timeliness: Clinical notes must be available within 2 to 4 hours of submission; policy updates within 24 hours of payer policy revision.
• Completeness: At least 80% of required clinical elements (diagnoses, treatments, prior auth history) present; missing data triggers provider request.
• Accuracy: Medical policies must be version-controlled with clear effective dates; clinical ICD-10/CPT codes must validate against current CMS code sets.

Integration Complexity: High , Requires real-time bidirectional API integration with payer core system (Facets/QNXT), provider EHR(s) via HL7/FHIR, external prior auth platforms (Cohere, Olive), and policy management systems. Orchestration layer must handle async notification, error handling, and audit logging across all feeds.

Regulatory Alignment

• CMS Interoperability & Prior Authorization Rule (CMS-0057-F): Requires payers to provide prior authorization decisions within 72 hours (expedited) or 1 business day (standard) and to accept electronic prior auth requests.
• HIPAA Privacy & Security: All clinical data exchanged must comply with HIPAA encryption, access controls, and audit logging.
• State Insurance Regulations: Most states mandate prior auth timelines and require documented decision rationale; agent's audit trail addresses this directly.
• AMA Prior Authorization White Paper: Medical necessity standard aligns with established clinical criteria.

Comparable Implementations

• Cohere Health: Agentic AI for Health Plans , Demonstrates 60%+ auto-approval rates and 72-hour SLA compliance on prior auth
• MobiHealthNews: Creating a Blueprint for Agentic AI in Claims & Prior Authorization , Industry case studies on prior auth automation savings (up to $20M annually for large payers)
• IDC: The U.S. Healthcare Prior Authorization Crisis , Market analysis of prior auth burden and agentic AI adoption trajectory