An exploratory study using an openEHR 2-level modeling approach to represent common data elements

Ching Heng Lin, Yang Cheng Fann, Der Ming Liou

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background and Objective In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the feasibility of applying an openEHR approach to model the CDE concept.Materials and Methods Using the National Institute of Neurological Disorders and Stroke General CDEs as material, we developed a semiautomatic mapping tool to assist domain experts mapping CDEs to existing openEHR archetypes in order to evaluate their coverage and to allow further analysis. In addition, we modeled a set of CDEs using the openEHR approach to evaluate the ability of archetypes to structurally represent any type of CDE content.Results Among 184 CDEs, 28% (51) of the archetypes could be directly used to represent CDEs, while 53% (98) of the archetypes required further development (extension or specialization). A comprehensive comparison between CDEs and openEHR archetypes was conducted based on the lessons learnt from the practical modeling.Discussion CDEs and archetypes have dissimilar modeling approaches, but the data structure of both models are essentially similar. This study proposes to develop a comprehensive structure to model CDE concepts instead of improving the structure of CED.Conclusion The findings from this research show that the openEHR archetype has structural coverage for the CDEs, namely the openEHR archetype is able to represent the CDEs and meet the functional expectations of the CDEs. This work can be used as a reference when improving CDE structure using an advanced modeling approach.

Original languageEnglish
Pages (from-to)956-967
Number of pages12
JournalJournal of the American Medical Informatics Association
Volume23
Issue number5
DOIs
Publication statusPublished - Sep 1 2016
Externally publishedYes

Fingerprint

Common Data Elements
Research
National Institute of Neurological Disorders and Stroke
Medical Informatics

Keywords

  • Common data element
  • Modeling approach
  • OpenEHR archetype

ASJC Scopus subject areas

  • Health Informatics

Cite this

An exploratory study using an openEHR 2-level modeling approach to represent common data elements. / Lin, Ching Heng; Fann, Yang Cheng; Liou, Der Ming.

In: Journal of the American Medical Informatics Association, Vol. 23, No. 5, 01.09.2016, p. 956-967.

Research output: Contribution to journalArticle

@article{1c346096cccb4a019323afe1cc68876d,
title = "An exploratory study using an openEHR 2-level modeling approach to represent common data elements",
abstract = "Background and Objective In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the feasibility of applying an openEHR approach to model the CDE concept.Materials and Methods Using the National Institute of Neurological Disorders and Stroke General CDEs as material, we developed a semiautomatic mapping tool to assist domain experts mapping CDEs to existing openEHR archetypes in order to evaluate their coverage and to allow further analysis. In addition, we modeled a set of CDEs using the openEHR approach to evaluate the ability of archetypes to structurally represent any type of CDE content.Results Among 184 CDEs, 28{\%} (51) of the archetypes could be directly used to represent CDEs, while 53{\%} (98) of the archetypes required further development (extension or specialization). A comprehensive comparison between CDEs and openEHR archetypes was conducted based on the lessons learnt from the practical modeling.Discussion CDEs and archetypes have dissimilar modeling approaches, but the data structure of both models are essentially similar. This study proposes to develop a comprehensive structure to model CDE concepts instead of improving the structure of CED.Conclusion The findings from this research show that the openEHR archetype has structural coverage for the CDEs, namely the openEHR archetype is able to represent the CDEs and meet the functional expectations of the CDEs. This work can be used as a reference when improving CDE structure using an advanced modeling approach.",
keywords = "Common data element, Modeling approach, OpenEHR archetype",
author = "Lin, {Ching Heng} and Fann, {Yang Cheng} and Liou, {Der Ming}",
year = "2016",
month = "9",
day = "1",
doi = "10.1093/jamia/ocv137",
language = "English",
volume = "23",
pages = "956--967",
journal = "Journal of the American Medical Informatics Association : JAMIA",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "5",

}

TY - JOUR

T1 - An exploratory study using an openEHR 2-level modeling approach to represent common data elements

AU - Lin, Ching Heng

AU - Fann, Yang Cheng

AU - Liou, Der Ming

PY - 2016/9/1

Y1 - 2016/9/1

N2 - Background and Objective In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the feasibility of applying an openEHR approach to model the CDE concept.Materials and Methods Using the National Institute of Neurological Disorders and Stroke General CDEs as material, we developed a semiautomatic mapping tool to assist domain experts mapping CDEs to existing openEHR archetypes in order to evaluate their coverage and to allow further analysis. In addition, we modeled a set of CDEs using the openEHR approach to evaluate the ability of archetypes to structurally represent any type of CDE content.Results Among 184 CDEs, 28% (51) of the archetypes could be directly used to represent CDEs, while 53% (98) of the archetypes required further development (extension or specialization). A comprehensive comparison between CDEs and openEHR archetypes was conducted based on the lessons learnt from the practical modeling.Discussion CDEs and archetypes have dissimilar modeling approaches, but the data structure of both models are essentially similar. This study proposes to develop a comprehensive structure to model CDE concepts instead of improving the structure of CED.Conclusion The findings from this research show that the openEHR archetype has structural coverage for the CDEs, namely the openEHR archetype is able to represent the CDEs and meet the functional expectations of the CDEs. This work can be used as a reference when improving CDE structure using an advanced modeling approach.

AB - Background and Objective In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the feasibility of applying an openEHR approach to model the CDE concept.Materials and Methods Using the National Institute of Neurological Disorders and Stroke General CDEs as material, we developed a semiautomatic mapping tool to assist domain experts mapping CDEs to existing openEHR archetypes in order to evaluate their coverage and to allow further analysis. In addition, we modeled a set of CDEs using the openEHR approach to evaluate the ability of archetypes to structurally represent any type of CDE content.Results Among 184 CDEs, 28% (51) of the archetypes could be directly used to represent CDEs, while 53% (98) of the archetypes required further development (extension or specialization). A comprehensive comparison between CDEs and openEHR archetypes was conducted based on the lessons learnt from the practical modeling.Discussion CDEs and archetypes have dissimilar modeling approaches, but the data structure of both models are essentially similar. This study proposes to develop a comprehensive structure to model CDE concepts instead of improving the structure of CED.Conclusion The findings from this research show that the openEHR archetype has structural coverage for the CDEs, namely the openEHR archetype is able to represent the CDEs and meet the functional expectations of the CDEs. This work can be used as a reference when improving CDE structure using an advanced modeling approach.

KW - Common data element

KW - Modeling approach

KW - OpenEHR archetype

UR - http://www.scopus.com/inward/record.url?scp=84995809772&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84995809772&partnerID=8YFLogxK

U2 - 10.1093/jamia/ocv137

DO - 10.1093/jamia/ocv137

M3 - Article

C2 - 26911823

AN - SCOPUS:84995809772

VL - 23

SP - 956

EP - 967

JO - Journal of the American Medical Informatics Association : JAMIA

JF - Journal of the American Medical Informatics Association : JAMIA

SN - 1067-5027

IS - 5

ER -