BRINGING HEALTHCARE ANALYTICS TO WHERE BIG DATA RESIDES USING A DISTRIBUTED QUERY SYSTEM.

It is generally difficult to move Big Data and put it into a central location. Ordinarily this would prevent one from querying several repositories of patient-oriented Big Data as a unified whole. However, we have been developing a distributed query system where the Big Data is indexed in the location where it typically lies, and surrounding each index we have created software based upon the Informatics for Integrating Biology and the Bedside (i2b2) project to access the index used to organize the Big Data. We have applied this to allow us to query Genomics, Imaging, and Textual data to be queried along with traditional coded Healthcare data. We have developed an Application Programming Interface (API) that allows patient-centric queries to be formulated across these Big Data resources in our Healthcare system with the goal of performing research on the Healthcare Data, incorporating novel approaches to sharing common ontologies that represent the Big Data and novel approaches to linking the patients across the participating Big Data sites. [ABSTRACT FROM AUTHOR]