BIG-GEO-DATA EHR INFRASTRUCTURE DEVELOPMENT FOR ON-DEMAND ANALYTICS
Sohayla Pruitt, Senior Geospatial Scientist, DUKE MEDICINE, INFORMATION MANAGEMENT GROUP
Given the demand for better business data and the emergence of enterprise Electronic Health Records (EHRs), healthcare organizations have been embracing the potential of Big Data to spur cost savings, improve care outcomes, and drive greater business value. Similarly, there has been a surge of techniques involving Geographic Information Systems (GIS) that can prove valuable when their integration, spatial visualization, and geospatial analytic powers are properly harnessed. Duke Medicine has embraced these trends by implementing an enterprise EHR and supporting analytics team that serves the geospatial analytical needs of the organization. Additionally, Duke Medicine recognizes the large paradigm shift that has influenced our society to become heavily reliant upon on-demand information, requiring sophisticated, automated processes and robust hardware and software solutions that can quickly deliver information, rather than raw data. Consequently, Duke Medicine has incorporated geospatial information within its EHR, which adds thousands of new “big-geo-data” elements to a patient’s clinical record. Technical solutions are being developed in order to enable on-demand visualization and analytic capabilities that will help provide greater insight to patients’ risk, environmental history, and ability to be compliant with a care plan, given the sociocultural factors that may be reflected as a component of geospatial information.