Dataset Information

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.

SUBMITTER: Lin CH

PROVIDER: S-EPMC6375118 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Publications

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

Lin Ching-Heng CH Fann Yang-Cheng YC Liou Der-Ming DM

Journal of the American Medical Informatics Association : JAMIA 20160123 5

<h4>Background and objective</h4>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. ...[more]

PMID: 26911823

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Dataset Information

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

Background and objective

Materials and methods

Results

Discussion

Conclusion

Publications

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

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