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Next-generation phenotyping of electronic health records
The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We bel...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555337/ https://www.ncbi.nlm.nih.gov/pubmed/22955496 http://dx.doi.org/10.1136/amiajnl-2012-001145 |
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author | Hripcsak, George Albers, David J |
author_facet | Hripcsak, George Albers, David J |
author_sort | Hripcsak, George |
collection | PubMed |
description | The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We believe that the path forward requires studying the EHR as an object of interest in itself, and that new models, learning from data, and collaboration will lead to efficient use of the valuable information currently locked in health records. |
format | Online Article Text |
id | pubmed-3555337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35553372013-12-14 Next-generation phenotyping of electronic health records Hripcsak, George Albers, David J J Am Med Inform Assoc Focus on Data Sharing The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We believe that the path forward requires studying the EHR as an object of interest in itself, and that new models, learning from data, and collaboration will lead to efficient use of the valuable information currently locked in health records. BMJ Group 2013 2012-09-06 /pmc/articles/PMC3555337/ /pubmed/22955496 http://dx.doi.org/10.1136/amiajnl-2012-001145 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Focus on Data Sharing Hripcsak, George Albers, David J Next-generation phenotyping of electronic health records |
title | Next-generation phenotyping of electronic health records |
title_full | Next-generation phenotyping of electronic health records |
title_fullStr | Next-generation phenotyping of electronic health records |
title_full_unstemmed | Next-generation phenotyping of electronic health records |
title_short | Next-generation phenotyping of electronic health records |
title_sort | next-generation phenotyping of electronic health records |
topic | Focus on Data Sharing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555337/ https://www.ncbi.nlm.nih.gov/pubmed/22955496 http://dx.doi.org/10.1136/amiajnl-2012-001145 |
work_keys_str_mv | AT hripcsakgeorge nextgenerationphenotypingofelectronichealthrecords AT albersdavidj nextgenerationphenotypingofelectronichealthrecords |