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Enhancing Electronic Health Records to Support Clinical Research
The “Learning Health System” has been described as an environment that drives research and innovation as a natural outgrowth of patient care. Electronic health records (EHRs) are necessary to enable the Learning Health System; however, a source of frustration is that current systems fail to adequate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419762/ https://www.ncbi.nlm.nih.gov/pubmed/25954585 |
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author | Vawdrey, David K. Weng, Chunhua Herion, David Cimino, James J. |
author_facet | Vawdrey, David K. Weng, Chunhua Herion, David Cimino, James J. |
author_sort | Vawdrey, David K. |
collection | PubMed |
description | The “Learning Health System” has been described as an environment that drives research and innovation as a natural outgrowth of patient care. Electronic health records (EHRs) are necessary to enable the Learning Health System; however, a source of frustration is that current systems fail to adequately support research needs. We propose a model for enhancing EHRs to collect structured and standards-based clinical research data during clinical encounters that promotes efficiency and computational reuse of quality data for both care and research. The model integrates Common Data Elements (CDEs) for clinical research into existing clinical documentation workflows, leveraging executable documentation guidance within the EHR to support coordinated, standardized data collection for both patient care and clinical research. |
format | Online Article Text |
id | pubmed-4419762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-44197622015-05-07 Enhancing Electronic Health Records to Support Clinical Research Vawdrey, David K. Weng, Chunhua Herion, David Cimino, James J. AMIA Jt Summits Transl Sci Proc Articles The “Learning Health System” has been described as an environment that drives research and innovation as a natural outgrowth of patient care. Electronic health records (EHRs) are necessary to enable the Learning Health System; however, a source of frustration is that current systems fail to adequately support research needs. We propose a model for enhancing EHRs to collect structured and standards-based clinical research data during clinical encounters that promotes efficiency and computational reuse of quality data for both care and research. The model integrates Common Data Elements (CDEs) for clinical research into existing clinical documentation workflows, leveraging executable documentation guidance within the EHR to support coordinated, standardized data collection for both patient care and clinical research. American Medical Informatics Association 2014-04-07 /pmc/articles/PMC4419762/ /pubmed/25954585 Text en ©2014 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 Vawdrey, David K. Weng, Chunhua Herion, David Cimino, James J. Enhancing Electronic Health Records to Support Clinical Research |
title | Enhancing Electronic Health Records to Support Clinical Research |
title_full | Enhancing Electronic Health Records to Support Clinical Research |
title_fullStr | Enhancing Electronic Health Records to Support Clinical Research |
title_full_unstemmed | Enhancing Electronic Health Records to Support Clinical Research |
title_short | Enhancing Electronic Health Records to Support Clinical Research |
title_sort | enhancing electronic health records to support clinical research |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419762/ https://www.ncbi.nlm.nih.gov/pubmed/25954585 |
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