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Brainstorm

Provider 360 Accelerator

AI-Powered provider deduplication and mastering, built natively on Databricks

Healthcare Provider Data is Challenging

Healthcare operations depend on accurate, complete, and unified provider data — yet provider  information remains one of the most fragmented and complex domains in healthcare. Providers  are represented differently across EMRs, NPPES, claims systems, credentialing platforms, payer directories, and external data sources.
 

These inconsistencies create duplicate records,  incomplete profiles, and unreliable analytics that directly impact care delivery, claims  processing, compliance, and value-based care initiatives. Traditional MDM approaches struggle with provider data due to rigid matching rules, exact match dependencies, and brittle fuzzy logic.
 

As new sources are added and provider representations evolve, these systems become expensive to maintain, slow to adapt, and  difficult to scale. The result is increased latency, complex pipelines, governance friction, and  missed duplicates — all of which undermine trust in provider analytics.

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Rules-based matching doesn’t scale to the ambiguity and velocity of modern provider data.

Provider 360 Accelerator

The Databricks Data Intelligence Platform enables a fundamentally different approach to  provider MDM by bringing data and processing together in a single Lakehouse architecture.  Instead of having to move data between operational, analytical, and mastering systems,  increasing latency and points-of-failures, LakeFusion by Frisco Analytics processes provider data  directly in Databricks where it lives, reducing data movement, lowering costs, and accelerating  time to insight. 

By leveraging Databricks' native capabilities, organizations can operationalize provider mastering directly within their analytics and AI ecosystem. 

The Provider 360 Accelerator is an open-source, AI-powered accelerator built by Frisco Analytics on Databricks. It demonstrates how advanced entity resolution techniques — including embedding models and vector search — can be applied to provider data to rapidly identify, analyze, and resolve duplicate provider records at scale.

The accelerator serves as:​

  • A fast start for provider deduplication 

  • A reference architecture for AI-drive MDM

  • A foundation for enterprise-grade Provider 360 implementations using LakeFusion

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Ready to Trust Your Provider Data?

Provider data is complex, fragmented, and constantly changing. Frisco Analytics helps healthcare organizations implement LakeFusion’s Provider 360 on Databricks to deduplicate, master, and govern provider data across EMRs, NPPES, claims, and credentialing systems.

 

Let’s talk through your current challenges and design a provider solution that actually works for your teams.

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 and we’ll get back to you shortly.

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