Verato solutions are powered by our industry-leading Verato Universal MPI, a next-generation EMPI used by healthcare organizations to ensure accurate and complete person matching. Whether you manage data for patients, members, consumers, or providers, our integrated technology delivers highly precise identity resolution—giving you a trusted, 360-degree view of every individual.

What is EMPI in healthcare?

An Enterprise Master Person Index (EMPI) is a healthcare identity system that links and reconciles records for the same individual across multiple applications, ensuring organizations maintain accurate, complete, and consistent person data. Unlike basic MPIs that match records within a single system, an EMPI connects identities across EMRs, CRMs, claims systems, and analytics platforms, supporting a unified, trustworthy view of each person.

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What is an EMPI used for?

Healthcare organizations use an EMPI to reliably match and connect identity data across siloed systems, including EMRs, CRMs, public health databases, and payer platforms. Because so much healthcare information depends on accurate identity, an EMPI is essential for managing data across a complex ecosystem.

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What is an example of EMPI?

The Verato Universal MPI is a leading example that powers Verato MDM Cloud and all Verato solutions. It links records across disparate systems and ensures that identity data is accurate, consistent, and complete.

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What is the difference between MPI and EMPI software?

MPI systems match records within a single application using basic algorithms. EMPI systems match records across multiple applications using more advanced logic, providing a broader, more complete view of an individual.

How does an EMPI work?

An EMPI links identity records by assigning each individual a unique identifier and connecting their information across systems using patient matching algorithms.

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Patient matching algorithms

Patient matching compares demographic data to determine if two records belong to one person. Errors, missing information, and inconsistencies make this process challenging.

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The Verato difference: Native Referential Matching

Verato combines probabilistic algorithms with a curated demographic reference database to dramatically improve matching accuracy—even when source data is flawed.

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Resolving duplicate records

Duplicate records occur when multiple medical records exist for the same person. High-accuracy identity resolution helps identify and merge these duplicates.

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Why duplicate records are a problem

Duplicate records lead to:

  • Medical, billing, and claims errors
  • Incomplete clinical histories
  • Poor patient experiences
  • Increased operational costs
  • Redundant testing

Maintaining accurate, duplicate-free records is essential for strong analytics and safe clinical care.

We’ve built the identity foundation that gets patient data right from day one

See the platform, or talk to our team.