Re-identification risk for common privacy preserving patient matching strategies when shared with de-identified demographics.

Austin Eliazar¹, James Thomas Brown¹, Sara Cinamon¹, Murat Kantarcioglu², Bradley Malin^3,4,5

¹HealthVerity Inc., Philadelphia, PA 19103, United States.

²Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, United States.

³Department of Biomedical Informatics, School of Medicine, Vanderbilt University Medical Center, Nashville, TN 37235, United States.

⁴Department of Biostatistics, School of Medicine, Vanderbilt University Medical Center, Nashville, TN 37235, United States.

⁵Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN 37235, United States.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: Privacy preserving record linkage (PPRL) refers to techniques used to identify which records refer to the same person across disparate datasets while safeguarding their identities. PPRL is increasingly relied upon to facilitate biomedical research. A common strategy encodes personally identifying information for comparison without disclosing underlying identifiers. As the scale of resea…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.