New developments in electronic health record analysis

Electronic health records (EHRs) contain enormous amounts of real-world data that could inform researchers, doctors and patients about many aspects of rheumatology. However, EHRs are not yet fully utilized, mainly because automatic data extraction is difficult. Several studies in 2022 highlight the...

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Detalles Bibliográficos
Autores principales: Richter, Jutta G., Thielscher, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Year in Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761741/
https://www.ncbi.nlm.nih.gov/pubmed/36536118
http://dx.doi.org/10.1038/s41584-022-00894-1
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author Richter, Jutta G.
Thielscher, Christian
author_facet Richter, Jutta G.
Thielscher, Christian
author_sort Richter, Jutta G.
collection PubMed
description Electronic health records (EHRs) contain enormous amounts of real-world data that could inform researchers, doctors and patients about many aspects of rheumatology. However, EHRs are not yet fully utilized, mainly because automatic data extraction is difficult. Several studies in 2022 highlight the feasibility and clinical utility of computer-assisted EHR analysis.
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spelling pubmed-97617412022-12-19 New developments in electronic health record analysis Richter, Jutta G. Thielscher, Christian Nat Rev Rheumatol Year in Review Electronic health records (EHRs) contain enormous amounts of real-world data that could inform researchers, doctors and patients about many aspects of rheumatology. However, EHRs are not yet fully utilized, mainly because automatic data extraction is difficult. Several studies in 2022 highlight the feasibility and clinical utility of computer-assisted EHR analysis. Nature Publishing Group UK 2022-12-19 2023 /pmc/articles/PMC9761741/ /pubmed/36536118 http://dx.doi.org/10.1038/s41584-022-00894-1 Text en © Springer Nature Limited 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Year in Review
Richter, Jutta G.
Thielscher, Christian
New developments in electronic health record analysis
title New developments in electronic health record analysis
title_full New developments in electronic health record analysis
title_fullStr New developments in electronic health record analysis
title_full_unstemmed New developments in electronic health record analysis
title_short New developments in electronic health record analysis
title_sort new developments in electronic health record analysis
topic Year in Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761741/
https://www.ncbi.nlm.nih.gov/pubmed/36536118
http://dx.doi.org/10.1038/s41584-022-00894-1
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