A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research

Lei Zhao; Sarah N. Lim Choi Keung; Adel Taweel; Edward Tyler; Ire Ogunsina; James Rossiter; Brendan C. Delaney; Kevin A Peterson; F. D.Richard Hobbs; Theodoros N. Arvanitis

doi:10.3233/978-1-61499-101-4-519

A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research

Lei Zhao, Sarah N. Lim Choi Keung, Adel Taweel, Edward Tyler, Ire Ogunsina, James Rossiter, Brendan C. Delaney, Kevin A Peterson, F. D.Richard Hobbs, Theodoros N. Arvanitis

Family Medicine and Community Health (Twin Cities)

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

2 Scopus citations

Abstract

Heterogeneous data models and coding schemes for electronic health records present challenges for automated search across distributed data sources. This paper describes a loosely coupled software framework based on the terminology controlled approach to enable the interoperation between the search interface and heterogeneous data sources. Software components interoperate via common terminology service and abstract criteria model so as to promote component reuse and incremental system evolution.

Original language	English (US)
Title of host publication	Quality of Life Through Quality of Information - Proceedings of MIE 2012
Publisher	IOS Press
Pages	519-523
Number of pages	5
ISBN (Print)	9781614991007
DOIs	https://doi.org/10.3233/978-1-61499-101-4-519
State	Published - Jan 1 2012
Event	24th Medical Informatics in Europe Conference, MIE 2012 - Pisa, Italy Duration: Aug 26 2012 → Aug 29 2012

Publication series

Name	Studies in Health Technology and Informatics
Volume	180
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	24th Medical Informatics in Europe Conference, MIE 2012
Country/Territory	Italy
City	Pisa
Period	8/26/12 → 8/29/12

Keywords

EHR search
Loosely coupled framework
Patient identification
Terminology controlled

Publisher link

10.3233/978-1-61499-101-4-519

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Zhao, L., Lim Choi Keung, S. N., Taweel, A., Tyler, E., Ogunsina, I., Rossiter, J., Delaney, B. C., Peterson, K. A., Hobbs, F. D. R., & Arvanitis, T. N. (2012). A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research. In Quality of Life Through Quality of Information - Proceedings of MIE 2012 (pp. 519-523). (Studies in Health Technology and Informatics; Vol. 180). IOS Press. https://doi.org/10.3233/978-1-61499-101-4-519

A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research. / Zhao, Lei; Lim Choi Keung, Sarah N.; Taweel, Adel et al.
Quality of Life Through Quality of Information - Proceedings of MIE 2012. IOS Press, 2012. p. 519-523 (Studies in Health Technology and Informatics; Vol. 180).

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

Zhao, L, Lim Choi Keung, SN, Taweel, A, Tyler, E, Ogunsina, I, Rossiter, J, Delaney, BC, Peterson, KA, Hobbs, FDR & Arvanitis, TN 2012, A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research. in Quality of Life Through Quality of Information - Proceedings of MIE 2012. Studies in Health Technology and Informatics, vol. 180, IOS Press, pp. 519-523, 24th Medical Informatics in Europe Conference, MIE 2012, Pisa, Italy, 8/26/12. https://doi.org/10.3233/978-1-61499-101-4-519

Zhao L, Lim Choi Keung SN, Taweel A, Tyler E, Ogunsina I, Rossiter J et al. A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research. In Quality of Life Through Quality of Information - Proceedings of MIE 2012. IOS Press. 2012. p. 519-523. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-101-4-519

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A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research

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