Accuracy of an XGBoost-based privacy preserving record linkage system compared with an electronic health record patient matching module in identifying patients shared between nearby academic health centers
The precision and recall of PPRL matching differed substantially across the available match thresholds. Compared with the rule-based system, PPRL at the 95 threshold had 50% higher recall with similar precision. Privacy Preserving Record Linkage holds promise for improving research, but users must choose the precision vs recall needed for their application.
Authors
- Joshua M. Pevnick (ORCID: https://orcid.org/0000-0003-0621-1485)
- Cenan Pirani
- Fernando J Sanz Vidorreta (ORCID: https://orcid.org/0000-0001-7165-0949)
- Robert A. Jenders (ORCID: https://orcid.org/0000-0002-3389-6718)
- Douglas S. Bell (ORCID: https://orcid.org/0000-0002-5063-8294)
- Tawny Saleh
- Spencer L Soohoo
Institutions
- Cedars-Sinai Medical Center (US)
- University of California, Los Angeles (US)
- University of California System (US)
- Southern California Clinical and Translational Science Institute (US)
- Olive View-UCLA Medical Center (US)
- Sinai Health System (US)
- Charles R. Drew University of Medicine and Science (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1093/jamia/ocag020
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00