Electronic Records with Cardiovascular Monitoring System

  • Angelmar Constantino Roman
  • Hugo Bulegon
  • Silvio Bortoleto
  • Nelson Ebecken
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)


Cardiovascular diseases are the most responsible for the deaths of adults in most parts of the world. To facilitate its clinical management in primary health care is fundamental to improving the efficiency and seeks to reduce the morbidity and mortality. This article describes a software focused on the management of major cardiovascular risk factors (diabetes, hypertension, Dyslipidemia, smoking). Starting by registration and, based on major clinical guidelines, levels of cardiovascular risk. According to the level of risk, provides clinical indications summary for management and, through the processing of the results of subsequent laboratory tests, monitors the targets for therapies, according to the level of achievement of results, indicates maintenance or intensification of care. They are described and evaluated other systems and outpatient hospital that subsidized the development of software.


Vascular Risk Factor Electronic Record Enterprise Resource Planning Easy Removal World Health Report 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    The World Health Organization - World Health ReportGoogle Scholar
  2. 2.
    Sociedade Brasileira de Cardiologia, (10/07/08)
  3. 3.
    National Institutes of Health. National Heart, Lung, and Blood Institute. The Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, (10/07/08)
  4. 4.
    National Institute for Health and Clinical Excellence. Clinical Guidelines, (10/07/08)
  5. 5.
    Cardiologia PrincŠpios e PrĞtica Fran CastroGoogle Scholar
  6. 6.
  7. 7.
    HiDoctor , (28/05/08)
  8. 8.
    Tasy, (28/05/08)
  9. 9.
    SCRAVO, (28/05/08)
  10. 10.
  11. 11.
    Medsystem, (28/05/08)
  12. 12.
    Hospitalar, (28/05/08)
  13. 13.
    SPDATA, (28/05/08)
  14. 14.
    Bortoleto, S., Ebecken, N.F.F.: IIIE ISDA 2008, Ontology model for multi-relational data mining application (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Angelmar Constantino Roman
    • 1
  • Hugo Bulegon
    • 1
  • Silvio Bortoleto
    • 1
  • Nelson Ebecken
    • 2
  1. 1.Universidade Positivo Prof. Pedro Viriato Parigot de Souza, 5300Curitiba PRBrazil
  2. 2.UFRJ - Av. Pedro Calmon, nij 550Cidade UniversitriaRio de Janeiro RJBrazil

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