Journal
2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015
Volume -, Issue -, Pages 416-423Publisher
IEEE
DOI: 10.1109/BigDataCongress.2015.68
Keywords
Health data analytics; Situational awareness
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Healthcare operations generates large volumes of data. Big data analytics methods are needed to derive actionable and decision-quality 'intelligence' from 'big' healthcare data in order to improve patient care. Given the technical challenges to big health data analytics, in this paper we present a specialized health analytics platform-H-DRIVE (Health Data Reconciliation Inferencing and Visualization Environment). H-DRIVE is an integrated, end-to-end health data analytics service-oriented workbench designed to empower data analysts and researchers to design analytical experiments and then perform complex analytics on their health data. We present the high-level functional and technical architecture of H-DRIVE. As a case study, we demonstrate the application of H-DRIVE in the context of optimizing the operations of a provincial pathology lab, where we analyze province-wide lab orders to prepare scorecards outlining physician lab testing performance and offer an operational dashboard to provide an overview of lab utilization.
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