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