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

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

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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
Pages (from-to)	519-23
Number of pages	5
Journal	Studies in health technology and informatics
Volume	180
Publication status	Published - 2012

Cite this

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title = "A Loosely Coupled Framework for Terminology Controlled Distributed EHR Search for Patient Cohort Identification in Clinical Research",

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.",

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

year = "2012",

language = "English",

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pages = "519--23",

journal = "Studies in health technology and informatics",

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T1 - A Loosely Coupled Framework for Terminology Controlled Distributed EHR Search for Patient Cohort Identification in Clinical Research

AU - Zhao, Lei

AU - Lim Choi Keung, Sarah N

AU - Taweel, Adel

AU - Tyler, Edward

AU - Ogunsina, Ire

AU - Rossiter, James

AU - Delaney, Brendan C

AU - Peterson, Kevin A

AU - Hobbs, F D Richard

AU - Arvanitis, Theodoros N

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

M3 - Article

C2 - 22874245

SN - 0926-9630

VL - 180

SP - 519

EP - 523

JO - Studies in health technology and informatics

JF - Studies in health technology and informatics

ER -

A Loosely Coupled Framework for Terminology Controlled Distributed EHR Search for Patient Cohort Identification in Clinical Research

Abstract

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