Harnessing Electronic Health Records for Public Health Surveillance

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Harnessing Electronic Health Records for Public Health Surveillance

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Title: Harnessing Electronic Health Records for Public Health Surveillance
Author: Klompas, Michael; MURPHY, MICHAEL; Lankiewicz, Julie; McVetta, Jason; Lazarus, Ross; Eggleston, Emma; Daly, Patricia Ann; Oppedisano, Paul; Beagan, Brianne; Kirby, Chaim; Platt, Richard

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Citation: Klompas, Michael, Michael Murphy, Julie Lankiewicz, Jason McVetta, Ross Lazarus, Emma Eggleston, Patricia Ann Daly, et al. 2011. Harnessing electronic health records for public health surveillance. Online Journal of Public Health Informatics 3(3):3794.
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Abstract: Electronic medical record (EMR) systems are a rich potential source for detailed, timely, and efficient surveillance of large populations. We created the Electronic medical record Support for Public Health (ESP) system to facilitate and demonstrate the potential advantages of harnessing EMRs for public health surveillance. ESP organizes and analyzes EMR data for events of public health interest and transmits electronic case reports or aggregate population summaries to public health agencies as appropriate. It is designed to be compatible with any EMR system and can be customized to different states’ messaging requirements. All ESP code is open source and freely available. ESP currently has modules for notifiable disease, influenza-like illness syndrome, and diabetes surveillance. An intelligent presentation system for ESP called the RiskScape is under development. The RiskScape displays surveillance data in an accessible and intelligible format by automatically mapping results by zip code, stratifying outcomes by demographic and clinical parameters, and enabling users to specify custom queries and stratifications. The goal of RiskScape is to provide public health practitioners with rich, up-to-date views of health measures that facilitate timely identification of health disparities and opportunities for targeted interventions. ESP installations are currently operational in Massachusetts and Ohio, providing live, automated surveillance on over 1 million patients. Additional installations are underway at two more large practices in Massachusetts.
Published Version: doi:10.5210/ojphi.v3i3.3794
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615793/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11726270
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