• DocumentCode
    3375355
  • Title

    PRISM™: a Web-based framework for deploying predictive clinical models

  • Author

    Soto, G.E. ; Jones, P. ; Spertus, J.A.

  • Author_Institution
    Washington Univ. Sch. of Med., St. Louis, MO, USA
  • fYear
    2004
  • fDate
    19-22 Sept. 2004
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    In an era of cardiovascular care where novel clinical, biochemical, genetic and imaging determinants impacting patient outcomes are being continuously discovered, the field of outcomes research offers clinicians and patients the potential to make better informed health care decisions through the use of sophisticated risk-adjustment models that incorporate patients´ clinical characteristics and treatments. However, the translation of such models to clinical practice has been severely limited by their mathematical complexity, the ongoing evolution of models over time, and the difficulty in conveying the outputs of these models in a format useful to physicians and their patients. Herein we present an application suite for creating Web-based clinical tools for delivering risk-adjustment models to the bedside. This suite offers an intuitive visual interface for building models as well as a broad range of easy to understand graphical output options.
  • Keywords
    cardiovascular system; health care; medical computing; patient care; risk management; PRISM™; Web-based clinical tools; cardiovascular care; graphical output options; health care decisions; intuitive visual interface; predictive clinical models; sophisticated risk-adjustment models; Application software; Cardiology; Cities and towns; Covariance matrix; Genetics; Heart; Mathematical model; Medical services; Medical treatment; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2004
  • Print_ISBN
    0-7803-8927-1
  • Type

    conf

  • DOI
    10.1109/CIC.2004.1442905
  • Filename
    1442905