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Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries

OBJECTIVES: Classification of data elements (DEs), which is used in clinical documents is challenging, even in across ISO/IEC 11179 compliant clinical metadata registries (MDRs) due to no existence of reliable standard for identifying DEs. We suggest the Clinical Data Element Ontology (CDEO) for uni...

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Autores principales: Jeong, Senator, Kim, Hye Hyeon, Park, Yu Rang, Kim, Ju Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231180/
https://www.ncbi.nlm.nih.gov/pubmed/25405066
http://dx.doi.org/10.4258/hir.2014.20.4.295
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author Jeong, Senator
Kim, Hye Hyeon
Park, Yu Rang
Kim, Ju Han
author_facet Jeong, Senator
Kim, Hye Hyeon
Park, Yu Rang
Kim, Ju Han
author_sort Jeong, Senator
collection PubMed
description OBJECTIVES: Classification of data elements (DEs), which is used in clinical documents is challenging, even in across ISO/IEC 11179 compliant clinical metadata registries (MDRs) due to no existence of reliable standard for identifying DEs. We suggest the Clinical Data Element Ontology (CDEO) for unified indexing and retrieval of DEs across MDRs. METHODS: The CDEO was developed through harmonization of existing clinical document models and empirical analysis of MDRs. For specific classification as using data element concept (DEC), The Simple Knowledge Organization System was chosen to represent and organize the DECs. Six basic requirements also were set that the CDEO must meet, including indexing target to be a DEC, organizing DECs using their semantic relationships. For evaluation of the CDEO, three indexers mapped 400 DECs to more than 1 CDEO term in order to determine whether the CDEO produces a consistent index to a given DEC. The level of agreement among the indexers was determined by calculating the intraclass correlation coefficient (ICC). RESULTS: We developed CDEO with 578 concepts. Through two application use-case scenarios, usability of the CDEO is evaluated and it fully met all of the considered requirements. The ICC among the three indexers was estimated to be 0.59 (95% confidence interval, 0.52-0.66). CONCLUSIONS: The CDEO organizes DECs originating from different MDRs into a single unified conceptual structure. It enables highly selective search and retrieval of relevant DEs from multiple MDRs for clinical documentation and clinical research data aggregation.
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spelling pubmed-42311802014-11-17 Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries Jeong, Senator Kim, Hye Hyeon Park, Yu Rang Kim, Ju Han Healthc Inform Res Original Article OBJECTIVES: Classification of data elements (DEs), which is used in clinical documents is challenging, even in across ISO/IEC 11179 compliant clinical metadata registries (MDRs) due to no existence of reliable standard for identifying DEs. We suggest the Clinical Data Element Ontology (CDEO) for unified indexing and retrieval of DEs across MDRs. METHODS: The CDEO was developed through harmonization of existing clinical document models and empirical analysis of MDRs. For specific classification as using data element concept (DEC), The Simple Knowledge Organization System was chosen to represent and organize the DECs. Six basic requirements also were set that the CDEO must meet, including indexing target to be a DEC, organizing DECs using their semantic relationships. For evaluation of the CDEO, three indexers mapped 400 DECs to more than 1 CDEO term in order to determine whether the CDEO produces a consistent index to a given DEC. The level of agreement among the indexers was determined by calculating the intraclass correlation coefficient (ICC). RESULTS: We developed CDEO with 578 concepts. Through two application use-case scenarios, usability of the CDEO is evaluated and it fully met all of the considered requirements. The ICC among the three indexers was estimated to be 0.59 (95% confidence interval, 0.52-0.66). CONCLUSIONS: The CDEO organizes DECs originating from different MDRs into a single unified conceptual structure. It enables highly selective search and retrieval of relevant DEs from multiple MDRs for clinical documentation and clinical research data aggregation. Korean Society of Medical Informatics 2014-10 2014-10-31 /pmc/articles/PMC4231180/ /pubmed/25405066 http://dx.doi.org/10.4258/hir.2014.20.4.295 Text en © 2014 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
Jeong, Senator
Kim, Hye Hyeon
Park, Yu Rang
Kim, Ju Han
Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title_full Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title_fullStr Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title_full_unstemmed Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title_short Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
title_sort clinical data element ontology for unified indexing and retrieval of data elements across multiple metadata registries
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231180/
https://www.ncbi.nlm.nih.gov/pubmed/25405066
http://dx.doi.org/10.4258/hir.2014.20.4.295
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