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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
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.
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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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