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RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data

Noelle M. Cocoros, Chaim Kirby, Bob Zambarano, Aileen Ochoa, Karen Eberhardt, SB Catherine Rocchio, W. Sanouri Ursprung, Victoria M. Nielsen, Natalie Nguyen Durham, John T. Menchaca, Mark E. Josephson, Diana Erani, Ellen Hafer, Michelle Weiss, Brian Herrick, Myfanwy Callahan, Thomas Isaac, Michael Klompas

2020American Journal of Public Health23 citationsDOIOpen Access PDF

Abstract

Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations.

Topics & Concepts

Public health surveillancePublic healthAggregate dataVisualizationFlexibility (engineering)Data scienceData visualizationOpen dataPopulationIdentification (biology)Data aggregatorWeb applicationPublic health informaticsComputer scienceMedicineData miningEnvironmental healthWorld Wide WebHealth policyInternational healthBotanyWireless sensor networkBiologyNursingStatisticsMathematicsComputer networkPathologyData-Driven Disease SurveillanceElectronic Health Records SystemsMachine Learning in Healthcare
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