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Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation

Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation

We evaluated our approach using the 4 synthetic data sets distributed with the Freely Extensible Biomedical Record Linkage (FEBRL) system, along with an additional custom data set generated using FEBRL’s data set generation tool [15]. The 4 synthetic data sets contain varying numbers of patients, matches, and nonmatches, and were designed specifically for assessing new record linkage approaches.

Walter Nelson, Nityan Khanna, Mohamed Ibrahim, Justin Fyfe, Maxwell Geiger, Keith Edwards, Jeremy Petch

JMIR Form Res 2023;7:e44331