Bring external payer data into a health system and it can look like a one-time integration project — connect, map, deliver, done. It rarely works that way. Teams must track expected files, validate incoming data, interpret payer-specific formats, reconcile claims against history and deliver trusted data to every downstream system that depends on it.
This panel of healthcare data and value-based care leaders examines the full operating commitment behind external data management, and how responsibilities and controls differ across three models: an internal build, analytics-platform ingestion and specialized third-party management.
The goal isn’t one answer for every system — it’s a clear-eyed view of what each approach requires as payers, contracts and AI use cases multiply.
Join to learn:
- What happens after the first file arrives: tracking, validation, mapping, reconciliation and issue resolution
- Five cost considerations that may not appear in the initial estimate, from operations to downstream risk
- Why value-based care raises the stakes on reliable claims data for attribution, quality measurement and settlement
- How to compare an internal build, analytics platform and external management on ownership, controls and scalability