• DocumentCode
    3451486
  • Title

    Data Mining of Inspection-Time Rules in HIS with DeepSee

  • Author

    Liu, Yan-Feng ; Yu, Hai-Yan ; Li, Jing-song

  • Author_Institution
    Healthcare Inf. Eng. Res. Center, Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    27-28 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Inspection department is an important sector in the hospital as one of the most visited sectors. Thus the arrangement of manpower in inspection sector and reservation of enforced-time for inspections are very important. This study analyze Inspection-time in Hospital Information System (HIS) by data mining approach in order to help hospital managers improve efficiency. We first build a model based on Inspection-time theme, and then analyze the factors that influence the access number and waiting-time for the inspections in radiology sector in three aspects: the weekdays, the hours and the vocations. The knowledge discovery and data analysis is based on Intersystem embedded real-time business intelligence (BI) tool DeepSee.
  • Keywords
    competitive intelligence; data analysis; data mining; medical information systems; DeepSee; business intelligence; data analysis; data mining; hospital information system; inspection time rules; knowledge discovery; Bismuth; Data mining; Hospitals; Inspection; Radiology; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications (DBTA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6975-8
  • Electronic_ISBN
    978-1-4244-6977-2
  • Type

    conf

  • DOI
    10.1109/DBTA.2010.5658940
  • Filename
    5658940