Patient Matching, Aggregating and Linking (PMAL)

The patient matching, aggregation, and linking (PMAL) project intended to study and advance methods of accurately linking and aggregating patient records from various sources to increase the volume and quality of data available to support patient-centered outcomes research (PCOR). Accurate patient matching and data aggregation offers additional benefits, such as increased patient safety and improved health and well-being.

Beginning in June 2015 and ending in September 2018, the PMAL project identified and tested standards applicable to linking patient data across multiple types of data sets (e.g., research, clinical, and claims) to support research data infrastructure. This project also establishes a foundation for further testing and development of patient matching algorithms. The project included pilot projects and other activities, such as prize challenges, to address four target areas, including:

  • Improvements to Matching Algorithms
  • Improvements to Data Quality
  • Expanded Data Sharing
  • Data Standardization

The PMAL project also included pilot testing a Patient Demographic Data Quality Framework:

To learn more about the PMAL Project, read the full PMAL Final Report [PDF - 873 KB].

Content last reviewed on September 10, 2019
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