The Modern Provider Data Playbook for Health Plans

How Automation and AI Are Solving the Industry’s Data Accuracy Problem

Provider data accuracy remains one of the most persistent and difficult-to-solve challenges for health plans. As providers change locations, change practices, and leave networks entirely, maintaining accurate, up-to-date records across systems becomes increasingly complex.

Most organizations still rely on fragmented data sources and manual processes to keep provider information current. These approaches are time-consuming, difficult to scale, and often result in inconsistent or unreliable data.

But the problem isn’t just data quality, it’s the underlying approach.

In this guide, we introduce a modern model for managing provider data using automation and AI. You’ll learn how leading health plans are moving away from manual reconciliation and toward a more scalable, consistent, and reliable system for maintaining provider data accuracy.

Download the playbook to learn:

• How to automate the aggregation, standardization, and updating of provider data
• How leading health plans use AI to measure accuracy and prioritize improvements
• How to meet federal and state regulatory requirements for provider data accuracy
• How to replace manual reconciliation with a scalable, continuously improving model