DocumentCode :
1470030
Title :
Health Informatics Design for Assisted Diagnosis of Subclinical Atherosclerosis, Structural, and Functional Arterial Age Calculus and Patient-Specific Cardiovascular Risk Evaluation
Author :
Santana, D.B. ; Zocalo, Y.A. ; Ventura, I.F. ; Arrosa, J.F.T. ; Florio, L. ; Lluberas, R. ; Armentano, R.L.
Author_Institution :
Physiol. Dept., Republic Univ., Montevideo, Uruguay
Volume :
16
Issue :
5
fYear :
2012
Firstpage :
943
Lastpage :
951
Abstract :
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.
Keywords :
blood vessels; cardiovascular system; diseases; information storage; medical diagnostic computing; medical information systems; patient diagnosis; physiological models; risk management; CUiiDARTE health informatics development; assisted diagnosis; biomathematical model; cardiovascular risk assessment; cardiovascular risk stratification; centralized database; functional arterial age calculus; functional arterial parameters; health informatics design; health informatics tool; patient data; patient-specific cardiovascular risk evaluation; patient-specific risk stratification; structural arterial age calculus; structural arterial parameters; subclinical atherosclerosis; subclinical vascular disease detection; Atherosclerosis; Diseases; Educational institutions; Indexes; Informatics; Laboratories; Medical diagnostic imaging; Cardiovascular risk screening; health informatics; patient-specific healthcare; public health; Adolescent; Adult; Aged; Algorithms; Atherosclerosis; Child; Databases, Factual; Diagnostic Techniques, Cardiovascular; Early Diagnosis; Female; Humans; Internet; Male; Medical Informatics; Middle Aged; Risk Factors;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2012.2190990
Filename :
6169996
Link To Document :
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