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

ChingHeng Lin | Zendy; Yang-Cheng Fann | Zendy; Der-Ming Liou | Zendy

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

Author(s) -

ChingHeng Lin,

Yang-Cheng Fann,

Der-Ming Liou

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv137

Subject(s) - computer science , data mining , data science

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.

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