MPI — Master Patient Index

This page introduces the Aidbox MPI module, its core capabilities, and guides for deployment, configuration, matching, and merge/unmerge operations.

Master Patient Index (MPI) is a module in Aidbox that ensures accurate patient identification by detecting and removing duplicate records. It helps maintain consistent and reliable data across healthcare systems.

MPI enables:

accurate matching of patient records across different systems and facilities,
merging of duplicate records into a single record,
unmerging of incorrectly linked records,
maintaining the integrity of clinical data and treatment history.

Using MPI reduces the risk of lost or duplicated medical data, treatment errors, and issues with data exchange. This is especially critical in complex ecosystems with many sources — such as clinics, labs, and telemedicine platforms.

The MPI module utilizes probabilistic (score-based or Fellegi-Sunter) method. It is more flexible and can provide better results than rule-based approaches, but at the cost of simplicity.

MPI Capabilities Overview

Technical Capabilities

FHIR R4 support
Seamless integration with the Aidbox platform
API-first architecture with a user-friendly web-based UI
Notifications for external systems via webhooks (non-FHIR format)
Unlimited scalability — supports any number of patient records
Can be deployed in the cloud or on-premises

Data Safety, Transparency and Consistency

Role-based access control
Full traceability of all operations, user actions and API calls
Supports complience with security and regulatory standarts

Core Feature set

Search for patients
Flexible patient matching using a probabilistic algorithm
- Fully configurable for specific data and use-cases
- Handles typos and incomplete data
Manual record merging with unique merge strategy combining golden record and survivor record approaches
Unmerge capability
Ability to mark record pairs as non-duplicates to exclude them from future match results