Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage.

Chen, Feng; Jiang, Xiaoqian; Wang, Shuang; Schilling, Lisa M; Meeker, Daniella; Ong, Toan; Matheny, Michael E; Doctor, Jason N; Ohno-Machado, Lucila; Vaidya, Jaideep

Chen, Feng; Jiang, Xiaoqian; Wang, Shuang; Schilling, Lisa M; Meeker, Daniella; Ong, Toan; Matheny, Michael E; Doctor, Jason N; Ohno-Machado, Lucila; Vaidya, Jaideep.

Afiliación

Chen F; Health System Department of Biomedical Informatics, UC San Diego, La Jolla, CA, 92093.
Jiang X; Health System Department of Biomedical Informatics, UC San Diego, La Jolla, CA, 92093.
Wang S; Health System Department of Biomedical Informatics, UC San Diego, La Jolla, CA, 92093.
Schilling LM; Department of Medicine, University of Colorado, Anschutz Medical Campus, CO, 80045.
Meeker D; Keck School of Medicine, University of Southern California, Los Angeles, CA 90089.
Ong T; Department of Medicine, University of Colorado, Anschutz Medical Campus, CO, 80045.
Matheny ME; Geriatric Research Education and Clinical Care Service, Tennessee Valley Healthcare System VA, Nashville, TN 37212.
Doctor JN; Departments of Biomedical Informatics, Medicine, and Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37235.
Ohno-Machado L; Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, CA 90033.
Vaidya J; Health System Department of Biomedical Informatics, UC San Diego, La Jolla, CA, 92093.

IEEE Internet Comput ; 22(2): 32-41, 2018.

Article en En | MEDLINE | ID: mdl-29867290

RESUMEN

Patient health data are often found spread across various sources. However, precision medicine and personalized care requires access to the complete medical records. The first step towards this is to enable the linkage of health records spread across different sites. Existing record linkage solutions assume that data is centralized with no privacy/security concerns restricting sharing. However, that is often untrue. Therefore, we design and implement a portable method for privacy-preserving record linkage based on garbled circuits to accurately and securely match records. We also develop a novel approximate matching mechanism that significantly improves efficiency.

Palabras clave

EHR linkage; Garbled circuit; Privacy preserving; Secure multi-party computation

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