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Improving Interoperability between Registries and EHRs

National performance measurement needs clinical data that track the performance of multi disciplinary teams across episodes of care. Clinical registries are ideal platforms for this work due to their capture of structured, specific data across specialties. Because registries collect data at a nation...

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Detalles Bibliográficos
Autor principal: Blumenthal, Seth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961768/
https://www.ncbi.nlm.nih.gov/pubmed/29888033
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author Blumenthal, Seth
author_facet Blumenthal, Seth
author_sort Blumenthal, Seth
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description National performance measurement needs clinical data that track the performance of multi disciplinary teams across episodes of care. Clinical registries are ideal platforms for this work due to their capture of structured, specific data across specialties. Because registries collect data at a national level, and registry data are captured in a consistent structure and format within each registry, registry data are useful for measurement and analysis “out of the box”. Registry business models are hampered by the cost of collecting data from EHRs and other source systems and abstracting or mapping them to fit registry data models. The National Quality Registry Network (NQRN) has launched Registries on FHIR, an initiative to lower barriers to achieving semantic interoperability between registries and source data systems. In 2017 Registries on FHIR conducted an information gathering campaign to learn where registries want better interoperability, and how to go about improving it.
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spelling pubmed-59617682018-06-08 Improving Interoperability between Registries and EHRs Blumenthal, Seth AMIA Jt Summits Transl Sci Proc Articles National performance measurement needs clinical data that track the performance of multi disciplinary teams across episodes of care. Clinical registries are ideal platforms for this work due to their capture of structured, specific data across specialties. Because registries collect data at a national level, and registry data are captured in a consistent structure and format within each registry, registry data are useful for measurement and analysis “out of the box”. Registry business models are hampered by the cost of collecting data from EHRs and other source systems and abstracting or mapping them to fit registry data models. The National Quality Registry Network (NQRN) has launched Registries on FHIR, an initiative to lower barriers to achieving semantic interoperability between registries and source data systems. In 2017 Registries on FHIR conducted an information gathering campaign to learn where registries want better interoperability, and how to go about improving it. American Medical Informatics Association 2018-05-18 /pmc/articles/PMC5961768/ /pubmed/29888033 Text en ©2018 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Blumenthal, Seth
Improving Interoperability between Registries and EHRs
title Improving Interoperability between Registries and EHRs
title_full Improving Interoperability between Registries and EHRs
title_fullStr Improving Interoperability between Registries and EHRs
title_full_unstemmed Improving Interoperability between Registries and EHRs
title_short Improving Interoperability between Registries and EHRs
title_sort improving interoperability between registries and ehrs
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961768/
https://www.ncbi.nlm.nih.gov/pubmed/29888033
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