• DocumentCode
    279957
  • Title

    An expert system for choosing electromedical equipment and running a medical equipment inventory

  • Author

    Feasey, C.M. ; Mackinnon, D.J. ; Shaw, A. ; Brewster, G.M.

  • Author_Institution
    Dept. of Clinical Phys. & Bio-Eng., West of Scotland Health Boards, Glasgow, UK
  • fYear
    1990
  • fDate
    32973
  • Firstpage
    42614
  • Lastpage
    42616
  • Abstract
    In 1972 the Department of Clinical Physics and Bio-Engineering was asked to set up an advisory service on electromedical and related equipment for the six West of Scotland Health Boards. An extensive database was developed on paper to provide the information on which this advice was based but it became obvious that data management would be impossible without computer assistance. Software was developed in-house to handle equipment classification and thus artificial intelligence techniques were incorporated from the beginning. When the Greater Glasgow Health Board decided to maintain a major asset register of medical equipment this system was extended to include an inventory. User demand for information from both parts has grown very rapidly and the system has developed to meet this need. A major revision is nearing completion and it is the development criteria for this system, based on ten years of experience in actually using artificial intelligence on a routine basis, which are discussed
  • Keywords
    expert systems; medical administrative data processing; Department of Clinical Physics and Bio-Engineering; Greater Glasgow Health Board; West of Scotland Health Boards; artificial intelligence; asset register; data management; electromedical equipment; equipment classification; expert system; medical equipment inventory; relational databases;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    AI in Medical Decision Making, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    190052