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A Modular Architecture for Electronic Health Record-Driven Phenotyping
Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525215/ https://www.ncbi.nlm.nih.gov/pubmed/26306258 |
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author | Rasmussen, Luke V. Kiefer, Richard C. Mo, Huan Speltz, Peter Thompson, William K. Jiang, Guoqian Pacheco, Jennifer A. Xu, Jie Zhu, Qian Denny, Joshua C. Montague, Enid Pathak, Jyotishman |
author_facet | Rasmussen, Luke V. Kiefer, Richard C. Mo, Huan Speltz, Peter Thompson, William K. Jiang, Guoqian Pacheco, Jennifer A. Xu, Jie Zhu, Qian Denny, Joshua C. Montague, Enid Pathak, Jyotishman |
author_sort | Rasmussen, Luke V. |
collection | PubMed |
description | Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations. We propose a set of guiding design principles and a modular software architecture to bridge the gap to a standardized phenotype representation, dissemination and execution. Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations. |
format | Online Article Text |
id | pubmed-4525215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-45252152015-08-24 A Modular Architecture for Electronic Health Record-Driven Phenotyping Rasmussen, Luke V. Kiefer, Richard C. Mo, Huan Speltz, Peter Thompson, William K. Jiang, Guoqian Pacheco, Jennifer A. Xu, Jie Zhu, Qian Denny, Joshua C. Montague, Enid Pathak, Jyotishman AMIA Jt Summits Transl Sci Proc Articles Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations. We propose a set of guiding design principles and a modular software architecture to bridge the gap to a standardized phenotype representation, dissemination and execution. Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations. American Medical Informatics Association 2015-03-25 /pmc/articles/PMC4525215/ /pubmed/26306258 Text en ©2015 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 Rasmussen, Luke V. Kiefer, Richard C. Mo, Huan Speltz, Peter Thompson, William K. Jiang, Guoqian Pacheco, Jennifer A. Xu, Jie Zhu, Qian Denny, Joshua C. Montague, Enid Pathak, Jyotishman A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title | A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title_full | A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title_fullStr | A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title_full_unstemmed | A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title_short | A Modular Architecture for Electronic Health Record-Driven Phenotyping |
title_sort | modular architecture for electronic health record-driven phenotyping |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525215/ https://www.ncbi.nlm.nih.gov/pubmed/26306258 |
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