Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange

dc.contributor.authorDixon, Brian E.
dc.contributor.authorGibson, P. Joseph
dc.contributor.authorComer, Karen Frederickson
dc.contributor.authorRosenman, Marc
dc.contributor.departmentDepartment of Epidemiology, Richard M. Fairbanks School of Public Healthen_US
dc.date.accessioned2016-07-20T18:23:06Z
dc.date.available2016-07-20T18:23:06Z
dc.date.issued2015
dc.description.abstractAssessment is a core function of public health. Comprehensive clinical data may enhance community health assessment by providing up-to-date, representative data for use in public health programs and policies, especially when combined with community-level data relevant to social determinants. In this study we examine routinely collected and geospatially-enhanced EHR data to assess population health at various levels of geographic granularity available from a regional health information exchange. We present preliminary findings and discuss important biases in EHR data. Future work is needed to develop methods for correcting for those biases to support routine epidemiology work of public health.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationDixon, B. E., Gibson, P. J., Frederickson, C. K., & Rosenman, M. (2015). Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange. Studies in health technology and informatics, 216, 1009-1009.en_US
dc.identifier.urihttps://hdl.handle.net/1805/10432
dc.language.isoenen_US
dc.publisherIOSen_US
dc.relation.isversionof10.3233/978-1-61499-564-7-1009en_US
dc.relation.journalStudies in Health Technology and Informaticsen_US
dc.rightsAttribution-NonCommercial 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/
dc.sourcePublisheren_US
dc.subjectelectronic health recordsen_US
dc.subjecthealth information exchangeen_US
dc.subjectgeographic information systemsen_US
dc.titleMeasuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchangeen_US
dc.typeArticleen_US
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