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
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