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Health Plans & Payers AI Strategy: opportunities, use cases & the operating model
For payers, AI reshapes medical cost management and member experience, sharpening risk adjustment, automating utilization and claims, and targeting care management where medical loss ratio impact is greatest.
Where AI creates value
Risk adjustment — HCC coding accuracy and RADV audit defense
Claims adjudication — Auto-adjudication and payment integrity screening
Utilization management — Evidence-based prior authorization decisioning
Care management — Rising-risk targeting and intervention matching
Provider network — Contracting analytics and fraud, waste, abuse
Member engagement — Personalized benefits navigation and retention
Top AI use cases
- Risk-adjustment coding review surfacing supported HCCs and RADV documentation gaps
- Payment integrity models detecting fraud, waste, and abuse pre and post payment
- Prior authorization automation applying clinical criteria with clinician oversight
- Rising-risk member stratification routing to care management interventions
- Appeals and grievance triage with automated case summarization for reviewers
What has to change (operating model)
- CMS interoperability and prior authorization rule compliance for automated decisions
- Regulatory scrutiny requiring clinician review of AI-influenced coverage denials
- Risk-adjustment governance ensuring coding integrity and RADV audit readiness
- Actuarial and MLR oversight of AI-driven medical cost and trend assumptions
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