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Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs

OBJECTIVES: The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clin...

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Autores principales: Tapuria, Archana, Kalra, Dipak, Kobayashi, Shinji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920041/
https://www.ncbi.nlm.nih.gov/pubmed/24523993
http://dx.doi.org/10.4258/hir.2013.19.4.286
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author Tapuria, Archana
Kalra, Dipak
Kobayashi, Shinji
author_facet Tapuria, Archana
Kalra, Dipak
Kobayashi, Shinji
author_sort Tapuria, Archana
collection PubMed
description OBJECTIVES: The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. METHODS: Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. RESULTS: The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. CONCLUSIONS: Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes.
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spelling pubmed-39200412014-02-12 Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs Tapuria, Archana Kalra, Dipak Kobayashi, Shinji Healthc Inform Res Case Report OBJECTIVES: The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. METHODS: Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. RESULTS: The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. CONCLUSIONS: Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes. Korean Society of Medical Informatics 2013-12 2013-12-31 /pmc/articles/PMC3920041/ /pubmed/24523993 http://dx.doi.org/10.4258/hir.2013.19.4.286 Text en © 2013 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 Case Report
Tapuria, Archana
Kalra, Dipak
Kobayashi, Shinji
Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title_full Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title_fullStr Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title_full_unstemmed Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title_short Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs
title_sort contribution of clinical archetypes, and the challenges, towards achieving semantic interoperability for ehrs
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920041/
https://www.ncbi.nlm.nih.gov/pubmed/24523993
http://dx.doi.org/10.4258/hir.2013.19.4.286
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