From Claims to Care: AI-Powered Health Plan Transformation
This guide covers the AI, data, and interoperability stack that lets a health plan move from claims processor to care coordinator — auto-adjudication at the edge, generative AI for prior authorization, provider data management, member 360, predictive care gap closure, FWA detection at point-of-submission, FHIR interoperability under CMS-0057, and AI call-center copilots that actually help agents. Written for VPs of operations, CIOs, chief medical officers, and STARS leaders evaluating what produces operational improvement versus dashboard-level theater.
Auto-Adjudication at the Edge: When Claims Resolve Before They Reach the Adjuster
Health plans that auto-adjudicate 90%+ of claims aren't doing it with a magic algorithm. They've done the unglamorous work of edge computing, cleaner provider d...
Generative AI for Prior Authorization: Reforming the Most Hated Workflow in Healthcare
Prior authorization is the friction point where health plans most damage their relationship with providers and members. Generative AI can reform the workflow — ...
Provider Data Management as a Foundation: The Asset No Health Plan Treats as One
Every downstream process at a health plan — claims, member services, network adequacy, payment integrity — depends on clean provider data. Most plans treat it a...
AI-Powered Claims Audit and Recoupment: Finding the Overpayments That Matter
Post-payment audit recovers billions of dollars annually across the industry, but the work has historically been inefficient — high false positive rates, diffic...
Member 360: Unifying Clinical and Administrative Data Without the Data Lake Fantasy
Every health plan has attempted a Member 360 initiative. Most have produced expensive data lakes that no one trusts. The plans getting it right are picking spec...
Predictive Care Gap Closure: Beyond the Annual Outreach Campaign
Care gap closure programs have existed for two decades. Most rely on the same annual mail-and-phone campaigns that have been producing the same declining respon...
Automated Medical Record Retrieval for HEDIS and Stars: The Year-End Sprint That Doesn't Need to Exist
Medical record retrieval for HEDIS and Stars measurement has been one of the great hidden operational drags in health plans. Weeks of chart chasing, stacks of f...
Digital-First Member Onboarding: Making the First 90 Days Actually Work
The first 90 days of a member's coverage determine most of the complaints, disenrollments, and service issues for the year. Digital-first onboarding is less abo...
Fraud, Waste, and Abuse at Point-of-Submission: Moving Left from Pay-and-Chase
The industry has spent billions on pay-and-chase FWA recovery. The economics always favored post-payment work because pre-payment analytics weren't fast or accu...
Value-Based Care Reporting Dashboards: Why the Scorecards Keep Failing
Every health plan has built value-based care dashboards. Most providers ignore them. The dashboards that providers actually use share specific characteristics —...
AI Call Center Co-Pilot for Member Services: What Works, What's Theater
AI co-pilots for member services are the most-pitched and least-effective contact center technology of the last three years. The versions that actually help age...
Interoperability Under CMS-0057 and FHIR: Compliance Minimum vs. Strategic Opportunity
CMS-0057-F finalized the requirements for payer interoperability. Most plans are building to the minimum compliance standard. A few are building the same infras...