FHIR-Native Master Data Management & Enterprise Master Patient Index

MDMbox is a FHIR-native Master Data Management (MDM) and Enterprise Master Patient Index (eMPI) solution designed to identify duplicate patient records and create a single source of truth across healthcare systems. It matches and merges records from EHRs, LIS, telehealth platforms, and claims systems using probabilistic matching and configurable merge logic.

A master patient index (MPI) is a system that maintains one unique, consistent identifier for every patient across an organization's data sources. An enterprise master patient index (eMPI) extends this across multiple facilities and systems. MDMbox provides eMPI capabilities — matching, deduplicating, and linking patient records from EHRs, LIS, telehealth platforms, and claims systems into a single source of truth.

Master data management (MDM) in healthcare is the practice of creating and maintaining one accurate, consistent set of core data — patients, providers, organizations, and locations — shared across systems. MDMbox is a FHIR-native healthcare MDM engine that governs this master data and resolves duplicate patient records into golden records.

Master Data Management (MDM) governs all healthcare master data — patients, providers, organizations, and locations. Enterprise Master Patient Index (eMPI) is a focused subset of MDM that resolves patient identity across systems. MDMbox covers both: a full MDM engine with first-class eMPI capabilities for patient deduplication and identity resolution.

MDMbox uses probabilistic matching models to analyze patient attributes such as names, identifiers, and demographic data. Using the FHIR $match operation, the system evaluates similarity scores and returns potential duplicate records that can be merged automatically or reviewed manually.

The FHIR $match operation is a standard API used to compare a patient record against existing records in a system. MDMbox uses $match to find possible duplicates when new data is created or imported, enabling real-time deduplication workflows.

Yes. MDMbox integrates with healthcare systems through standard FHIR APIs. Data from EHRs, laboratory systems, telehealth platforms, and claims systems can be imported and analyzed to detect and merge duplicate records.

Yes. MDMbox can analyze an entire dataset to detect duplicates across millions of records. Bulk matching operations evaluate existing data and return potential duplicate groups that can be merged or reviewed.

Yes. MDMbox supports configurable auto-merge rules based on matching confidence scores. High-confidence matches can be merged automatically, while lower-confidence matches can be sent to a data steward for review.

A golden record is a consolidated patient record created by merging duplicate records from multiple systems. MDMbox combines the most reliable data from matched records and links related resources to the resulting survivor record.

Yes. MDMbox supports safe unmerge operations. All merge and unmerge actions are logged, allowing organizations to track changes and restore records if needed.

Yes. MDMbox includes a built-in Data Steward UI that allows teams to review potential duplicates, compare records, perform merges, and track merge history.

MDMbox is designed for fast deployment. Organizations can start testing matching workflows quickly using the FHIR API and configure real-time deduplication processes within their existing infrastructure.