• DocumentCode
    2093520
  • Title

    ACHE: An Architecture for Clinical Hypothesis Examination

  • Author

    Moss, Laura ; Sleeman, Derek ; Kinsella, John ; Sim, Malcolm

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Aberdeen, Aberdeen
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    158
  • Lastpage
    160
  • Abstract
    Physiological monitoring equipment can be found in many hospital settings. This allows a wide range of physiological parameters to be stored, which in turn allows clinicians and analysts to investigate a range of medical hypotheses. This paper introduces ACHE (architecture for clinical hypotheses examination), a framework specifically designed to support the preparation of such analyses. To evaluate the initial version of ACHE, a study to detect acute myocardial infarctions, was conducted with data from Glasgow Royal Infirmary´s Intensive Care Unit (ICU). Initial results from the study are very encouraging and ACHE substantially reduced the time required to perform the study. A study of the same phenomena across a much larger patient dataset will be undertaken shortly.
  • Keywords
    biomedical equipment; medical computing; physiology; Glasgow Royal Infirmary´s Intensive Care Unit; acute myocardial infarctions; architecture for clinical hypothesis examination; physiological parameters; Biomedical monitoring; Computer architecture; Computerized monitoring; Costs; Data analysis; Data models; Hospitals; Myocardium; Signal analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.100
  • Filename
    4561976