• DocumentCode
    3081196
  • Title

    Risk Mining in Hospital Information Systems

  • Author

    Tsumoto, Shusaku ; Matsuoka, Kimiko ; Yokoyama, Shigeki

  • Author_Institution
    Shimane Univ., Izumo
  • Volume
    6
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    4802
  • Lastpage
    4806
  • Abstract
    To err is human. How can we avoid near misses and achieve medical safety? From this perspective, we analyzed the nurses\´ incident data by data mining with the "concept of quality control" that near misses are produced by the system rather than individuals. Nurses\´ incident data were collected during the 18 months at the emergency room. Significant rules (If-then rules) indicated that the medication errors are likely to occur when mental concentration is disrupted by interruption of work, etc. Based on the results of the analysis, the nurses\´ medication check system was improved. During the last 6 months, the check system was put into effect. The frequency of the medication errors decreased to about one-twenties or less. It was considered that the data mining analysis contributes the decision support on the improvement of incidents.
  • Keywords
    data mining; decision support systems; medical information systems; data mining; decision support; emergency room; hospital information systems; medical safety; medication errors; mental concentration; nurses incident data; nurses medication check system; quality control; risk mining; Cybernetics; Data analysis; Data mining; Frequency; Hospitals; Humans; Information systems; Laboratories; Risk analysis; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385065
  • Filename
    4274674