SYSTEMS AND METHODS FOR DEIDENTIFIED DATA PROCESSING

Abstract

Systems and methods for deidentified data processing are provided herein. Deidentified data processing techniques can include accessing data from one or more worker nodes and assembling accessed data into patient timeline vectors. Worker nodes can provide sub-vectors to a primary node, which can assemble sub-vectors across multiple worker nodes to build patient timeline vectors that include data from multiple sources. Data provided by worker nodes can be deidentified, and subjects across different worker nodes can be matched based on a hash or other unique identifier. In some implementations, worker nodes provide compressed data tables with subject data, and a primary node reconstructs tables from the compressed format. In some implementations, only relative dates are utilized to better preserve patient privacy.

CPC Classifications