• 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