• DocumentCode
    1856948
  • Title

    Integrating Global Data into Local Health Data Base

  • Author

    Patasiene, I. ; Kregzdyte, R. ; Patasius, M. ; Patasius, J. ; Kazakeviciute, A.

  • Author_Institution
    Kaunas Univ. of Technol., Kaunas
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    6438
  • Lastpage
    6441
  • Abstract
    Data analysis traditionally belong to scientist´s field of interest. Usually scientists gatherer and analyze their own data. Challenges of 21st century require more global point view in decision making process from each worker in local workplace. Local public health sector is strongly related with global world. So, right managerial decision-making in local workplaces depends on changes in global environment. The speed of changes is very high. Therefore, it is necessary to encourage workers of public health sector to make daily managerial decisions evaluating both global and local data. Information technologies (IT) supports decision making process. It is easier to analyze homogeneous data. Analysis of global data has shown that data formats were often incompatible. Limited IT competencies of public health workers make analysis of data from different sources difficult. This article describes a method for integration of global heterogeneous data in local databases.
  • Keywords
    database management systems; health care; medical information systems; public administration; data analysis; decision making process; global data; global heterogeneous data integration; information technology; local health database; local public health sector; managerial decision making; public health workers; Control systems; Data analysis; Databases; Decision making; Diseases; Information analysis; Information systems; Knowledge management; Management information systems; Public healthcare; Databases, Factual; Humans; Information Systems; Public Health; Systems Integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353830
  • Filename
    4353830