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ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems

BACKGROUND: Clinical trials apply standards approved by regulatory agencies for Electronic Data Capture (EDC). Operational Data Model (ODM) from Clinical Data Interchange Standards Consortium (CDISC) is commonly used. Electronic Health Record (EHR) systems for patient care predominantly apply HL7 st...

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Detalles Bibliográficos
Autor principal: Dugas, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494189/
https://www.ncbi.nlm.nih.gov/pubmed/26004011
http://dx.doi.org/10.1186/s12911-015-0163-5
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author Dugas, Martin
author_facet Dugas, Martin
author_sort Dugas, Martin
collection PubMed
description BACKGROUND: Clinical trials apply standards approved by regulatory agencies for Electronic Data Capture (EDC). Operational Data Model (ODM) from Clinical Data Interchange Standards Consortium (CDISC) is commonly used. Electronic Health Record (EHR) systems for patient care predominantly apply HL7 standards, specifically Clinical Document Architecture (CDA). In recent years more and more patient data is processed in electronic form. RESULTS: An open source reference implementation was designed and implemented to convert forms between ODM and CDA format. There are limitations of this conversion method due to different scope and design of ODM and CDA. Specifically, CDA has a multi-level hierarchical structure and CDA nodes can contain both XML values and XML attributes. CONCLUSIONS: Automated transformation of ODM files to CDA and vice versa is technically feasible in principle.
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spelling pubmed-44941892015-07-08 ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems Dugas, Martin BMC Med Inform Decis Mak Software BACKGROUND: Clinical trials apply standards approved by regulatory agencies for Electronic Data Capture (EDC). Operational Data Model (ODM) from Clinical Data Interchange Standards Consortium (CDISC) is commonly used. Electronic Health Record (EHR) systems for patient care predominantly apply HL7 standards, specifically Clinical Document Architecture (CDA). In recent years more and more patient data is processed in electronic form. RESULTS: An open source reference implementation was designed and implemented to convert forms between ODM and CDA format. There are limitations of this conversion method due to different scope and design of ODM and CDA. Specifically, CDA has a multi-level hierarchical structure and CDA nodes can contain both XML values and XML attributes. CONCLUSIONS: Automated transformation of ODM files to CDA and vice versa is technically feasible in principle. BioMed Central 2015-05-26 /pmc/articles/PMC4494189/ /pubmed/26004011 http://dx.doi.org/10.1186/s12911-015-0163-5 Text en © Dugas; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Software
Dugas, Martin
ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title_full ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title_fullStr ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title_full_unstemmed ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title_short ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
title_sort odm2cda and cda2odm: tools to convert documentation forms between edc and ehr systems
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494189/
https://www.ncbi.nlm.nih.gov/pubmed/26004011
http://dx.doi.org/10.1186/s12911-015-0163-5
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