• DocumentCode
    981000
  • Title

    Ventilator management: the role of knowledge-based technology

  • Author

    Summers, R. ; Carson, E.R. ; Cramp, D.G.

  • Author_Institution
    Dept. of Syst. Sci., City Univ., London, UK
  • Volume
    12
  • Issue
    4
  • fYear
    1993
  • Firstpage
    50
  • Lastpage
    58
  • Abstract
    The authors discuss the problems associated with introducing an intelligent measurement and information system into a clinical high-dependency environment (HDE), typified by the intensive care unit (ICU) and postoperative recovery room. One specific situation in which intelligent instrumentation is required is during mechanical ventilation. A novel methodology that provides a structure for the incorporation of a knowledge-based component into the measurement process has been proposed. This methodology covers the entire development process, from a particular measurement system to evaluation of the final product. Specification and implementation for a prototype system designed for those patients who require ventilatory therapy as part of their overall management strategy has been developed using this methodology. This system is known as AIRS (Artificial Intelligent Respirator System).<>
  • Keywords
    biomedical equipment; computerised instrumentation; knowledge based systems; medical expert systems; orthotics; pneumodynamics; artificial intelligent respirator system; intelligent measurement/information system; intensive care unit; knowledge-based component; management strategy; mechanical ventilation; medical measurement system; postoperative recovery room; prototype system; ventilator management; ventilatory therapy; Artificial intelligence; Instruments; Intelligent systems; Knowledge management; Management information systems; Medical treatment; Particle measurements; Prototypes; Technology management; Ventilation;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.248167
  • Filename
    248167