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The Development of Clinical Document Standards for Semantic Interoperability in China

OBJECTIVES: This study is aimed at developing a set of data groups (DGs) to be employed as reusable building blocks for the construction of the eight most common clinical documents used in China's general hospitals in order to achieve their structural and semantic standardization. METHODS: The...

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Autores principales: Yang, Peng, Pan, Feng, Liu, Danhong, Xu, Yongyong, Wan, Yi, Tu, Haibo, Tang, Xuejun, Hu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259555/
https://www.ncbi.nlm.nih.gov/pubmed/22259722
http://dx.doi.org/10.4258/hir.2011.17.4.205
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author Yang, Peng
Pan, Feng
Liu, Danhong
Xu, Yongyong
Wan, Yi
Tu, Haibo
Tang, Xuejun
Hu, Jianping
author_facet Yang, Peng
Pan, Feng
Liu, Danhong
Xu, Yongyong
Wan, Yi
Tu, Haibo
Tang, Xuejun
Hu, Jianping
author_sort Yang, Peng
collection PubMed
description OBJECTIVES: This study is aimed at developing a set of data groups (DGs) to be employed as reusable building blocks for the construction of the eight most common clinical documents used in China's general hospitals in order to achieve their structural and semantic standardization. METHODS: The Diagnostics knowledge framework, the related approaches taken from the Health Level Seven (HL7), the Integrating the Healthcare Enterprise (IHE), and the Healthcare Information Technology Standards Panel (HITSP) and 1,487 original clinical records were considered together to form the DG architecture and data sets. The internal structure, content, and semantics of each DG were then defined by mapping each DG data set to a corresponding Clinical Document Architecture data element and matching each DG data set to the metadata in the Chinese National Health Data Dictionary. By using the DGs as reusable building blocks, standardized structures and semantics regarding the clinical documents for semantic interoperability were able to be constructed. RESULTS: Altogether, 5 header DGs, 48 section DGs, and 17 entry DGs were developed. Several issues regarding the DGs, including their internal structure, identifiers, data set names, definitions, length and format, data types, and value sets, were further defined. Standardized structures and semantics regarding the eight clinical documents were structured by the DGs. CONCLUSIONS: This approach of constructing clinical document standards using DGs is a feasible standard-driven solution useful in preparing documents possessing semantic interoperability among the disparate information systems in China. These standards need to be validated and refined through further study.
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spelling pubmed-32595552012-01-18 The Development of Clinical Document Standards for Semantic Interoperability in China Yang, Peng Pan, Feng Liu, Danhong Xu, Yongyong Wan, Yi Tu, Haibo Tang, Xuejun Hu, Jianping Healthc Inform Res Original Article OBJECTIVES: This study is aimed at developing a set of data groups (DGs) to be employed as reusable building blocks for the construction of the eight most common clinical documents used in China's general hospitals in order to achieve their structural and semantic standardization. METHODS: The Diagnostics knowledge framework, the related approaches taken from the Health Level Seven (HL7), the Integrating the Healthcare Enterprise (IHE), and the Healthcare Information Technology Standards Panel (HITSP) and 1,487 original clinical records were considered together to form the DG architecture and data sets. The internal structure, content, and semantics of each DG were then defined by mapping each DG data set to a corresponding Clinical Document Architecture data element and matching each DG data set to the metadata in the Chinese National Health Data Dictionary. By using the DGs as reusable building blocks, standardized structures and semantics regarding the clinical documents for semantic interoperability were able to be constructed. RESULTS: Altogether, 5 header DGs, 48 section DGs, and 17 entry DGs were developed. Several issues regarding the DGs, including their internal structure, identifiers, data set names, definitions, length and format, data types, and value sets, were further defined. Standardized structures and semantics regarding the eight clinical documents were structured by the DGs. CONCLUSIONS: This approach of constructing clinical document standards using DGs is a feasible standard-driven solution useful in preparing documents possessing semantic interoperability among the disparate information systems in China. These standards need to be validated and refined through further study. Korean Society of Medical Informatics 2011-12 2011-12-31 /pmc/articles/PMC3259555/ /pubmed/22259722 http://dx.doi.org/10.4258/hir.2011.17.4.205 Text en © 2011 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yang, Peng
Pan, Feng
Liu, Danhong
Xu, Yongyong
Wan, Yi
Tu, Haibo
Tang, Xuejun
Hu, Jianping
The Development of Clinical Document Standards for Semantic Interoperability in China
title The Development of Clinical Document Standards for Semantic Interoperability in China
title_full The Development of Clinical Document Standards for Semantic Interoperability in China
title_fullStr The Development of Clinical Document Standards for Semantic Interoperability in China
title_full_unstemmed The Development of Clinical Document Standards for Semantic Interoperability in China
title_short The Development of Clinical Document Standards for Semantic Interoperability in China
title_sort development of clinical document standards for semantic interoperability in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259555/
https://www.ncbi.nlm.nih.gov/pubmed/22259722
http://dx.doi.org/10.4258/hir.2011.17.4.205
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