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Modeling EHR with the openEHR approach: an exploratory study in China

BACKGROUND: The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. Developing archetypes for the complete EHR dataset is essential for implementing a large-scale interoperable EHR system with the openEHR approach. Although the openEHR appr...

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Autores principales: Min, Lingtong, Tian, Qi, Lu, Xudong, Duan, Huilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116359/
https://www.ncbi.nlm.nih.gov/pubmed/30157838
http://dx.doi.org/10.1186/s12911-018-0650-6
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author Min, Lingtong
Tian, Qi
Lu, Xudong
Duan, Huilong
author_facet Min, Lingtong
Tian, Qi
Lu, Xudong
Duan, Huilong
author_sort Min, Lingtong
collection PubMed
description BACKGROUND: The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. Developing archetypes for the complete EHR dataset is essential for implementing a large-scale interoperable EHR system with the openEHR approach. Although the openEHR approach has been applied in different domains, the feasibility of archetyping a complete EHR dataset in a hospital has not been reported in academic literature, especially in a country where using openEHR is still in its infancy stage, like China. This paper presents a case study of modeling an EHR in China aiming to investigate the feasibility and challenges of archetyping a complete EHR dataset with the openEHR approach. METHODS: We proposed an archetype modeling method including an iterative process of collecting requirements, normalizing data elements, organizing concepts, searching corresponding archetypes, editing archetypes and reviewing archetypes. Two representative EHR systems from Chinese vendors and the existing Chinese EHR standards have been used as resources to identify the requirements of EHR in China, and a case study of modeling EHR in China has been conducted. Based on the models developed in this case study, we have implemented a clinical data repository (CDR) to verify the feasibility of modeling EHR with archetypes. RESULTS: Sixty four archetypes were developed to represent all requirements of a complete EHR dataset. 59 (91%) archetypes could be found in Clinical Knowledge Manager (CKM), of which 35 could be reused directly without change, and 23 required further development including two revisions, two new versions, 18 extensions and one specialization. Meanwhile, 6 (9%) archetypes were newly developed. The legacy data of the EHR system in hospitals could be integrated into the CDR developed with these archetypes successfully. CONCLUSIONS: The existing archetypes in CKM can faithfully represent most of the EHR requirements in China except customizations for local hospital management. This case study verified the feasibility of modeling EHR with the openEHR approach and identified the fact that the challenges such as localization, tool support, and an agile publishing process still exist for a broader application of the openEHR approach.
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spelling pubmed-61163592018-09-04 Modeling EHR with the openEHR approach: an exploratory study in China Min, Lingtong Tian, Qi Lu, Xudong Duan, Huilong BMC Med Inform Decis Mak Research Article BACKGROUND: The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. Developing archetypes for the complete EHR dataset is essential for implementing a large-scale interoperable EHR system with the openEHR approach. Although the openEHR approach has been applied in different domains, the feasibility of archetyping a complete EHR dataset in a hospital has not been reported in academic literature, especially in a country where using openEHR is still in its infancy stage, like China. This paper presents a case study of modeling an EHR in China aiming to investigate the feasibility and challenges of archetyping a complete EHR dataset with the openEHR approach. METHODS: We proposed an archetype modeling method including an iterative process of collecting requirements, normalizing data elements, organizing concepts, searching corresponding archetypes, editing archetypes and reviewing archetypes. Two representative EHR systems from Chinese vendors and the existing Chinese EHR standards have been used as resources to identify the requirements of EHR in China, and a case study of modeling EHR in China has been conducted. Based on the models developed in this case study, we have implemented a clinical data repository (CDR) to verify the feasibility of modeling EHR with archetypes. RESULTS: Sixty four archetypes were developed to represent all requirements of a complete EHR dataset. 59 (91%) archetypes could be found in Clinical Knowledge Manager (CKM), of which 35 could be reused directly without change, and 23 required further development including two revisions, two new versions, 18 extensions and one specialization. Meanwhile, 6 (9%) archetypes were newly developed. The legacy data of the EHR system in hospitals could be integrated into the CDR developed with these archetypes successfully. CONCLUSIONS: The existing archetypes in CKM can faithfully represent most of the EHR requirements in China except customizations for local hospital management. This case study verified the feasibility of modeling EHR with the openEHR approach and identified the fact that the challenges such as localization, tool support, and an agile publishing process still exist for a broader application of the openEHR approach. BioMed Central 2018-08-29 /pmc/articles/PMC6116359/ /pubmed/30157838 http://dx.doi.org/10.1186/s12911-018-0650-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Min, Lingtong
Tian, Qi
Lu, Xudong
Duan, Huilong
Modeling EHR with the openEHR approach: an exploratory study in China
title Modeling EHR with the openEHR approach: an exploratory study in China
title_full Modeling EHR with the openEHR approach: an exploratory study in China
title_fullStr Modeling EHR with the openEHR approach: an exploratory study in China
title_full_unstemmed Modeling EHR with the openEHR approach: an exploratory study in China
title_short Modeling EHR with the openEHR approach: an exploratory study in China
title_sort modeling ehr with the openehr approach: an exploratory study in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116359/
https://www.ncbi.nlm.nih.gov/pubmed/30157838
http://dx.doi.org/10.1186/s12911-018-0650-6
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