Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation

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Traditional methods used to assess cardiovascular risk (i.e., the Framingham Risk Score) exhibit clear limitations. To aid in patient-specific risk stratification and diagnosis it has been proposed to evaluate noninvasively structural and functional arterial parameters. A National Public University...

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Autores principales:	Santana, D.B., Zócalo, Y.A., Ventura, I.F., Arrosa, J.F.T., Florio, L., Lluberas, R., Armentano, R.L.
Formato:	JOUR
Lenguaje:	English
Materias:	Cardiovascular risk screening health informatics patient-specific healthcare public health Cardiovascular risk Centralized data-base Health informatics Healthy population Patient data Public universities Reference data Risk score Risk stratification Uruguay Vascular disease Diseases Health care Hospital data processing Population statistics Public health Risk assessment Diagnosis adolescent adult aged algorithm article atherosclerosis cardiovascular system examination child early diagnosis factual database female human Internet male medical informatics methodology middle aged pathology risk factor Adolescent Adult Aged Algorithms Atherosclerosis Child Databases, Factual Diagnostic Techniques, Cardiovascular Early Diagnosis Female Humans Male Medical Informatics Middle Aged Risk Factors
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_10897771_v16_n5_p943_Santana
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_10897771_v16_n5_p943_Santana
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spelling	todo:paper_10897771_v16_n5_p943_Santana2023-10-03T16:04:55Z Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation Santana, D.B. Zócalo, Y.A. Ventura, I.F. Arrosa, J.F.T. Florio, L. Lluberas, R. Armentano, R.L. Cardiovascular risk screening health informatics patient-specific healthcare public health Cardiovascular risk Centralized data-base Health informatics Healthy population Patient data Public universities Reference data Risk score Risk stratification Uruguay Vascular disease Diseases Health care Hospital data processing Population statistics Public health Risk assessment Diagnosis adolescent adult aged algorithm article atherosclerosis cardiovascular system examination child early diagnosis factual database female human Internet male medical informatics methodology middle aged pathology risk factor Adolescent Adult Aged Algorithms Atherosclerosis Child Databases, Factual Diagnostic Techniques, Cardiovascular Early Diagnosis Female Humans Internet Male Medical Informatics Middle Aged Risk Factors Traditional methods used to assess cardiovascular risk (i.e., the Framingham Risk Score) exhibit clear limitations. To aid in patient-specific risk stratification and diagnosis it has been proposed to evaluate noninvasively structural and functional arterial parameters. A National Public University Center (CUiiDARTE) was created in Uruguay with the aim of developing and applying strategies to improve cardiovascular risk stratification and subclinical vascular disease detection. To this end a health informatics approach and tool was designed, developed, and implemented in CUiiDARTE. Its goals were to: 1) promote screening for subclinical atherosclerosis, 2) develop a centralized database to store information obtained noninvasively from anywhere in our country, 3) develop a biomathematical model integrating values for arterial structure and function into traditional cardiovascular risk assessment, 4) generate a detailed and comprehensive report for the specialist comparing patient data with reference data from the healthy population, 5) generate a similar report (using a structural and functional arterial age calculator) for the patients assessing the state of their arteries. In this paper, we present the main characteristics of the CUiiDARTE health informatics development. © 2012 IEEE. JOUR English info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_10897771_v16_n5_p943_Santana
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language	English
orig_language_str_mv	English
topic	Cardiovascular risk screening health informatics patient-specific healthcare public health Cardiovascular risk Centralized data-base Health informatics Healthy population Patient data Public universities Reference data Risk score Risk stratification Uruguay Vascular disease Diseases Health care Hospital data processing Population statistics Public health Risk assessment Diagnosis adolescent adult aged algorithm article atherosclerosis cardiovascular system examination child early diagnosis factual database female human Internet male medical informatics methodology middle aged pathology risk factor Adolescent Adult Aged Algorithms Atherosclerosis Child Databases, Factual Diagnostic Techniques, Cardiovascular Early Diagnosis Female Humans Internet Male Medical Informatics Middle Aged Risk Factors
spellingShingle	Cardiovascular risk screening health informatics patient-specific healthcare public health Cardiovascular risk Centralized data-base Health informatics Healthy population Patient data Public universities Reference data Risk score Risk stratification Uruguay Vascular disease Diseases Health care Hospital data processing Population statistics Public health Risk assessment Diagnosis adolescent adult aged algorithm article atherosclerosis cardiovascular system examination child early diagnosis factual database female human Internet male medical informatics methodology middle aged pathology risk factor Adolescent Adult Aged Algorithms Atherosclerosis Child Databases, Factual Diagnostic Techniques, Cardiovascular Early Diagnosis Female Humans Internet Male Medical Informatics Middle Aged Risk Factors Santana, D.B. Zócalo, Y.A. Ventura, I.F. Arrosa, J.F.T. Florio, L. Lluberas, R. Armentano, R.L. Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
topic_facet	Cardiovascular risk screening health informatics patient-specific healthcare public health Cardiovascular risk Centralized data-base Health informatics Healthy population Patient data Public universities Reference data Risk score Risk stratification Uruguay Vascular disease Diseases Health care Hospital data processing Population statistics Public health Risk assessment Diagnosis adolescent adult aged algorithm article atherosclerosis cardiovascular system examination child early diagnosis factual database female human Internet male medical informatics methodology middle aged pathology risk factor Adolescent Adult Aged Algorithms Atherosclerosis Child Databases, Factual Diagnostic Techniques, Cardiovascular Early Diagnosis Female Humans Internet Male Medical Informatics Middle Aged Risk Factors
description	Traditional methods used to assess cardiovascular risk (i.e., the Framingham Risk Score) exhibit clear limitations. To aid in patient-specific risk stratification and diagnosis it has been proposed to evaluate noninvasively structural and functional arterial parameters. A National Public University Center (CUiiDARTE) was created in Uruguay with the aim of developing and applying strategies to improve cardiovascular risk stratification and subclinical vascular disease detection. To this end a health informatics approach and tool was designed, developed, and implemented in CUiiDARTE. Its goals were to: 1) promote screening for subclinical atherosclerosis, 2) develop a centralized database to store information obtained noninvasively from anywhere in our country, 3) develop a biomathematical model integrating values for arterial structure and function into traditional cardiovascular risk assessment, 4) generate a detailed and comprehensive report for the specialist comparing patient data with reference data from the healthy population, 5) generate a similar report (using a structural and functional arterial age calculator) for the patients assessing the state of their arteries. In this paper, we present the main characteristics of the CUiiDARTE health informatics development. © 2012 IEEE.
format	JOUR
author	Santana, D.B. Zócalo, Y.A. Ventura, I.F. Arrosa, J.F.T. Florio, L. Lluberas, R. Armentano, R.L.
author_facet	Santana, D.B. Zócalo, Y.A. Ventura, I.F. Arrosa, J.F.T. Florio, L. Lluberas, R. Armentano, R.L.
author_sort	Santana, D.B.
title	Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
title_short	Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
title_full	Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
title_fullStr	Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
title_full_unstemmed	Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
title_sort	health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation
url	http://hdl.handle.net/20.500.12110/paper_10897771_v16_n5_p943_Santana
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Health informatics design for assisted diagnosis of subclinical atherosclerosis, structural, and functional arterial age calculus and patient-specific cardiovascular risk evaluation

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