An open-source, AI-powered accelerator built build for LakeFusion MDM on Databricks that can rapidly identify, analyze, and resolve duplicate payer records at scale.
Trusted Payer Data
Payer data sits at the center of healthcare finance, access, analytics, and value-based performance. Yet for most healthcare organizations, payer data is fragmented, duplicated, and inconsistently represented across eligibility, claims, contracting, and analytics systems.
The LakeFusion Payer 360 Accelerator provides a fast, low-risk path to establishing a trusted, unified view of payers—creating clarity, protecting revenue, and enabling confident decision-making across the enterprise.
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Payer Data Fragmentation
Healthcare organizations routinely operate with multiple representations of the same payer, plan, or line of business due to the lack of a true national payer identifier. This fragmentation drives.
Industry studies consistently show that poor data quality costs healthcare organizations millions of dollars annually, with denied claims, reprocessing, and manual reconciliation consuming both margin and staff capacity.
Payer Identity
The LakeFusion Payer 360 Accelerator is a predefined, Databricks-native solution that rapidly establishes trusted payer identity across the enterprise.
Machine learning–based matching adapts to real-world data variability, resolving fragmented payer records into a single, longitudinal, governed view overcoming ambiguity that traditional rule-based approaches cannot.
Prebuilt payer entities aligned to healthcare standards eliminate months of data modeling. Configurable survivorship rules establish trusted golden records, while stewardship workflows enable human oversight where it matters most.
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Payer 360
Payer 360 is designed for the realities of healthcare compliance and data protection. Native integration with Databricks governance capabilities provides role-based access control, automated lineage, auditing, and versioning — supporting HIPAA requirements and regulatory oversight without manual overhead.
At Frisco Analytics, we understand that Mastering for Payer is not a one-off initiative. Our accelerator-led approach reduces risk, shortens timelines, and is designed to scale naturally into:
Build the patient data foundation your organization can depend on.
We design reliable, cloud-native data foundations that teams can trust. By working closely with enterprise teams, we build systems that scale, stay governed, and support real business decisions.
We focus on measurable business outcomes, not just pipelines or dashboards. Every solution is built to support real decisions and long-term impact.
Rushed or under-engineered data breaks confidence. We design reliable, governed pipelines that teams can trust for analytics and AI.
We work as an extension of your team, collaborating closely to design, implement, and optimize cloud-native data platforms.