• DocumentCode
    3261312
  • Title

    Risk Mining in Hospital Information Systems

  • Author

    Tsumoto, Shusaku ; Matsuoka, Kimiko ; Yokoyama, Shigeki

  • Author_Institution
    Dept. of Med. Informatics, Shimane Univ., Izumo
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    699
  • Lastpage
    704
  • 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; knowledge based systems; medical information systems; risk analysis; data mining; decision support; hospital information systems; if-then rules; medical safety; medication check system; medication errors; nurses incident data; quality control concept; risk mining; Biomedical informatics; Data analysis; Data mining; Frequency; Hospitals; Humans; Information systems; Laboratories; Risk analysis; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.142
  • Filename
    4063715