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

Brian E. Dixon; P. Joseph Gibson; Karen Frederickson Comer; Marc Rosenman

doi: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

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

^*Corresponding author for this work

Pediatrics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

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 language	English (US)
Title of host publication	MEDINFO 2015
Subtitle of host publication	eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
Editors	Andrew Georgiou, Indra Neil Sarkar, Paulo Mazzoncini de Azevedo Marques
Publisher	IOS Press
Number of pages	1
ISBN (Electronic)	9781614995630
DOIs	https://doi.org/10.3233/978-1-61499-564-7-1009
State	Published - Jan 1 2015
Event	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil Duration: Aug 19 2015 → Aug 23 2015

Publication series

Name	Studies in Health Technology and Informatics
Volume	216
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Country/Territory	Brazil
City	Sao Paulo
Period	8/19/15 → 8/23/15

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/978-1-61499-564-7-1009

Cite this

Dixon, B. E., 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 A. Georgiou, I. N. Sarkar, & P. M. de Azevedo Marques (Eds.), MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1009

Dixon, Brian E. ; Gibson, P. Joseph ; Frederickson Comer, Karen et al. / Measuring Population Health Using Electronic Health Records : Exploring Biases and Representativeness in a Community Health Information Exchange. MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. editor / Andrew Georgiou ; Indra Neil Sarkar ; Paulo Mazzoncini de Azevedo Marques. IOS Press, 2015. (Studies in Health Technology and Informatics).

@inproceedings{6052dbb1d4f6494da39bf09efe1190fb,

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

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.",

keywords = "Community Health Planning, Electronic Health Records, Geographic Information Systems, Health Information Exchange, Health Services Needs and Demand",

author = "Dixon, {Brian E.} and Gibson, {P. Joseph} and {Frederickson Comer}, Karen and Marc Rosenman",

year = "2015",

month = jan,

day = "1",

doi = "10.3233/978-1-61499-564-7-1009",

language = "English (US)",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",

booktitle = "MEDINFO 2015",

note = "15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",

}

Dixon, BE, 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 A Georgiou, IN Sarkar & PM de Azevedo Marques (eds), MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. Studies in Health Technology and Informatics, vol. 216, IOS Press, 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

Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange. / Dixon, Brian E.; Gibson, P. Joseph; Frederickson Comer, Karen et al.
MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. ed. / Andrew Georgiou; Indra Neil Sarkar; Paulo Mazzoncini de Azevedo Marques. IOS Press, 2015. (Studies in Health Technology and Informatics; Vol. 216).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Measuring Population Health Using Electronic Health Records

T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015

AU - Dixon, Brian E.

AU - Gibson, P. Joseph

AU - Frederickson Comer, Karen

AU - Rosenman, Marc

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - Community Health Planning

KW - Electronic Health Records

KW - Geographic Information Systems

KW - Health Information Exchange

KW - Health Services Needs and Demand

UR - http://www.scopus.com/inward/record.url?scp=84952025593&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952025593&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-564-7-1009

DO - 10.3233/978-1-61499-564-7-1009

M3 - Conference contribution

C2 - 26262310

AN - SCOPUS:84952025593

T3 - Studies in Health Technology and Informatics

BT - MEDINFO 2015

A2 - Georgiou, Andrew

A2 - Sarkar, Indra Neil

A2 - de Azevedo Marques, Paulo Mazzoncini

PB - IOS Press

Y2 - 19 August 2015 through 23 August 2015

ER -

Dixon BE, 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 Georgiou A, Sarkar IN, de Azevedo Marques PM, editors, MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. IOS Press. 2015. (Studies in Health Technology and Informatics). doi: 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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this