Ontology highlight
ABSTRACT: Objective
Assess algorithms for linking patients across de-identified databases without compromising confidentiality.Data sources/study setting
Hospital discharges from 11 Mayo Clinic hospitals during January 2008-September 2012 (assessment and validation data). Minnesota death certificates and hospital discharges from 2009 to 2012 for entire state (application data).Study design
Cross-sectional assessment of sensitivity and positive predictive value (PPV) for four linking algorithms tested by identifying readmissions and posthospital mortality on the assessment data with application to statewide data.Data collection/extraction methods
De-identified claims included patient gender, birthdate, and zip code. Assessment records were matched with institutional so
SUBMITTER: Naessens JM
PROVIDER: S-EPMC4545335 | biostudies-literature | 2015 Aug
REPOSITORIES: biostudies-literature