Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment

Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ~32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of...

Descripción completa

Detalles Bibliográficos
Autores principales: Panahiazar, Maryam, Bishara, Andrew M., Chern, Yorick, Alizadehsani, Roohallah, Latif, Omar S., Hadley, Dexter, Beygui, Ramin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342193/
https://www.ncbi.nlm.nih.gov/pubmed/35673215
http://dx.doi.org/10.3233/SHTI220277
_version_ 1785072443047542784
author Panahiazar, Maryam
Bishara, Andrew M.
Chern, Yorick
Alizadehsani, Roohallah
Latif, Omar S.
Hadley, Dexter
Beygui, Ramin E.
author_facet Panahiazar, Maryam
Bishara, Andrew M.
Chern, Yorick
Alizadehsani, Roohallah
Latif, Omar S.
Hadley, Dexter
Beygui, Ramin E.
author_sort Panahiazar, Maryam
collection PubMed
description Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ~32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of the first encounter to Coronary Artery Bypass Grafting with a p-value=0.03. This recognition makes significant changes in outcome by avoiding delay in treatment.
format Online
Article
Text
id pubmed-10342193
institution National Center for Biotechnology Information
language English
publishDate 2022
record_format MEDLINE/PubMed
spelling pubmed-103421932023-07-13 Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment Panahiazar, Maryam Bishara, Andrew M. Chern, Yorick Alizadehsani, Roohallah Latif, Omar S. Hadley, Dexter Beygui, Ramin E. Stud Health Technol Inform Article Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ~32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of the first encounter to Coronary Artery Bypass Grafting with a p-value=0.03. This recognition makes significant changes in outcome by avoiding delay in treatment. 2022-06-06 /pmc/articles/PMC10342193/ /pubmed/35673215 http://dx.doi.org/10.3233/SHTI220277 Text en https://creativecommons.org/licenses/by/4.0/This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
spellingShingle Article
Panahiazar, Maryam
Bishara, Andrew M.
Chern, Yorick
Alizadehsani, Roohallah
Latif, Omar S.
Hadley, Dexter
Beygui, Ramin E.
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title_full Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title_fullStr Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title_full_unstemmed Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title_short Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
title_sort data analytics of electronic health records to enhance care of coronary artery disease in younger women with avoiding possible delay in treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342193/
https://www.ncbi.nlm.nih.gov/pubmed/35673215
http://dx.doi.org/10.3233/SHTI220277
work_keys_str_mv AT panahiazarmaryam dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT bisharaandrewm dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT chernyorick dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT alizadehsaniroohallah dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT latifomars dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT hadleydexter dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment
AT beyguiramine dataanalyticsofelectronichealthrecordstoenhancecareofcoronaryarterydiseaseinyoungerwomenwithavoidingpossibledelayintreatment

Ejemplares similares