• DocumentCode
    1840934
  • Title

    iAssist: A Software Framework for Intelligent Patient Monitoring

  • Author

    Brouse, Chris ; Dumont, G. ; Ping Yang ; Lim, Jungyoul ; Ansermino, J. Mark

  • Author_Institution
    Univ. of British Columbia, Vancouver
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3790
  • Lastpage
    3793
  • Abstract
    A software framework (iAssist) has been developed for intelligent patient monitoring, and forms the foundation of a clinical monitoring expert system. The framework is extensible, flexible, and interoperable. It supports plugins to perform data acquisition, signal processing, graphical display, data storage, and output to external devices. iAssist currently incorporates two plugins to detect change point events in physiological trends. In 38 surgical cases, iAssist detected 868 events, of which clinicians rated more than 50% as clinically significant and less than 7% as artifacts. Clinicians found iAssist intuitive and easy to use.
  • Keywords
    data acquisition; diagnostic expert systems; patient monitoring; surgery; clinical monitoring expert system; data acquisition; iAssist; intelligent patient monitoring; Alarm systems; Biomedical monitoring; Event detection; Expert systems; Humans; Patient monitoring; Rhythm; Signal processing algorithms; Software safety; Surgery; Clinical Monitoring; Expert System; Patient Safety; Software Framework; Algorithms; Canada; Computer Systems; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Monitoring, Physiologic; Software; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353157
  • Filename
    4353157