Accurate patient identity is the foundation of every healthcare system — and the Enterprise Master Patient Index (EMPI) sits at the heart of it. An EMPI ensures every record refers to the right person, every time, eliminating duplicates, overlays, and identity gaps across care settings. Modern EMPIs go beyond matching — they automate, learn, and adapt.

Indexity is redefining this space with an AI-native EMPI: fast, transparent, and built for the data challenges of today’s healthcare systems.

Migrating from a legacy EMPI can feel risky — but staying with one is riskier. Outdated systems like NextGate or IBM Initiate can’t keep up with modern data volumes or interoperability standards. The key to safe replacement is a staged, side-by-side approach: migrate data, validate performance, and prove accuracy before cutover.

Indexity supports zero-downtime transitions with built-in migration tooling, transparent matching, and real-time performance benchmarking, so you can modernise without missing a beat.

EMPI and Master Data Management (MDM) are often mentioned together, but they play distinct roles. An EMPI focuses on person identity — linking patient records across systems. MDM extends this logic across domains: providers, payers, relationships, and beyond.

At Indexity, we see EMPI as the wedge into MDM. Start with patient identity to prove value fast, then expand to broader data management once trust and interoperability are established.

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Duplicate and mismatched records are more than a data quality issue — they’re a patient safety hazard. They cause missed diagnoses, duplicate tests, billing errors, and compliance breaches. The financial impact alone runs into millions annually for large health systems.

Indexity’s EMPI addresses this at the source — using self-tuning algorithms to detect, link, and resolve duplicates before they cause harm, while giving stewards full transparency into every match decision.

As healthcare systems evolve, so do the standards that connect them. Whether aligning with FHIR APIs, HL7 v2 feeds, or NHS “What Good Looks Like” frameworks, interoperability depends on accurate, standardised identity data.

Indexity’s EMPI is designed for interoperability — supporting FHIR and HL7 data exchange natively, and integrating with regional initiatives like ICSs in the UK and HIEs in the US. The result: clean, connected, compliant identity data across the ecosystem.