An open-source, AI-powered accelerator built build for LakeFusion MDM on Databricks that can rapidly identify, analyze, and resolve duplicate patient records at scale.
Trusted Patient Data
Healthcare organizations are overwhelmed by fragmented patient data. Records are duplicated, overlaid, and inconsistently represented across EMRs, claims systems, CRMs, labs, and external sources — creating risk, inefficiency, and poor patient experiences.
The question isn't whether to pursue master data management—the costs of inaction are too severe. The question is whether to take the fast path that builds on proven technology and healthcare expertise, or the slow path that requires inventing everything from scratch.
Patient 360 offers the fast path. With it, healthcare organizations can finally transform their patient data from a fragmented liability into their most strategic asset, unlocking the AI-driven insights, value-based care success, and operational excellence that will define competitive advantage in the years ahead.
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Patient Identity
Every critical healthcare process depends on accurate patient identity.
Patient 360 rapidly establishes this foundation by applying advanced AI-driven entity resolution to accurately link patient records across EMRs, claims, labs, surveys, wearables, and external directories.
Machine learning–based matching adapts to real-world data variability, resolving fragmented patient records into a single, longitudinal, governed view overcoming ambiguity that traditional rule-based approaches cannot.
Prebuilt patient 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.
Patient 360
Patient 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 Patient 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.