• DocumentCode
    3458054
  • Title

    Agent-Based Data Loading Method in MedImGrid

  • Author

    Zheng, Ran ; Jin, Hai ; Zhang, Qin ; Liu, Xin

  • Author_Institution
    Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Agent-based grid data loading method aims at integrating heterogeneous hospitalspsila information systems into a medical information exchange platform based on grid middleware. It collects distributed data sets for decision support system, which makes data sources expanded from independent database modes to medical information systems in wide area. Virtual data access with grid service improves data security and makes data modification in local system more flexible. HL7 protocol and middleware are utilized to transform HL7 data into various local data structures for keeping the independence of each hospital information system and providing more convenience and expansibility for various medical applications.
  • Keywords
    data structures; decision support systems; grid computing; medical information systems; middleware; multi-agent systems; HL7 protocol; MedlmGrid; agent-based grid data loading method; data modification; data security; data structures; decision support system; grid middleware; grid service; heterogeneous hospital information systems; medical information exchange platform; virtual data access; Access protocols; Data security; Data structures; Decision support systems; Distributed databases; Hospitals; Information systems; Medical information systems; Medical services; Middleware; agent-based; data loading; grid service; virtual data access;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.180
  • Filename
    5260575