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

Brian Dixon, P. Joseph Gibson, Karen Frederickson Comer, Marc Rosenman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Assessment 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.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages1009
Number of pages1
Volume216
ISBN (Print)9781614995630
DOIs
StatePublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Fingerprint

Electronic Health Records
Public health
Public Health
Health
Population
Epidemiology
Public Policy
Health Policy
Health Information Exchange

Keywords

  • Community Health Planning
  • Electronic Health Records
  • Geographic Information Systems
  • Health Information Exchange
  • Health Services Needs and Demand

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Dixon, B., Gibson, P. J., Frederickson Comer, K., & Rosenman, M. (2015). Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange. In Studies in Health Technology and Informatics (Vol. 216, pp. 1009). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1009

Measuring Population Health Using Electronic Health Records : Exploring Biases and Representativeness in a Community Health Information Exchange. / Dixon, Brian; Gibson, P. Joseph; Frederickson Comer, Karen; Rosenman, Marc.

Studies in Health Technology and Informatics. Vol. 216 IOS Press, 2015. p. 1009 (Studies in Health Technology and Informatics; Vol. 216).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dixon, B, Gibson, PJ, Frederickson Comer, K & Rosenman, M 2015, Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange. in Studies in Health Technology and Informatics. vol. 216, Studies in Health Technology and Informatics, vol. 216, IOS Press, pp. 1009, 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, Brazil, 8/19/15. https://doi.org/10.3233/978-1-61499-564-7-1009
Dixon B, Gibson PJ, Frederickson Comer K, Rosenman M. Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange. In Studies in Health Technology and Informatics. Vol. 216. IOS Press. 2015. p. 1009. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-564-7-1009
Dixon, Brian ; Gibson, P. Joseph ; Frederickson Comer, Karen ; Rosenman, Marc. / Measuring Population Health Using Electronic Health Records : Exploring Biases and Representativeness in a Community Health Information Exchange. Studies in Health Technology and Informatics. Vol. 216 IOS Press, 2015. pp. 1009 (Studies in Health Technology and Informatics).
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