Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hripcsak, George, Albers, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2013
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
_version_ 1782257020321136640
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