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Designing a GIS-based Platform for Efficient Cost Control and Management of Diagnostic Imaging Examinations

Author

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  • Dimitrios Zarakovitis
  • Nikolaos Tsaloukidis
  • Athina Lazakidou

Abstract

Nowadays, there is a growing demand for health services of high quality and low-cost. The development of digital technology has created a large volume of information. In the health sector, the largest amount of data is transmitted by radiology laboratories because of the diagnostic imaging examination data. The aim of this project is to create an online platform for the rational management of total cost and revenues of diagnostic imaging imaginations of hospital units. Geographic Information Systems (GIS) are used for design of interactive maps that are uploaded on a central information system. GIS systems are used for the spatial analysis of quantitative and qualitative variables. The platform acts as a surveillance system that enables users to analyze financial data and share their results. The results concern 23 Hospital Units (H.Us) of the 6th Health Region in Greece in the period from 2012 to 2015. A spatial analysis was performed in correlation with the statistical analysis. There is an overtime reduction of the number of diagnostic imaging examinations. There is also a strong linear correlation between the cost, revenues of diagnostic imaging examinations and the number of hospital beds. Â JEL classification numbers: D24

Suggested Citation

  • Dimitrios Zarakovitis & Nikolaos Tsaloukidis & Athina Lazakidou, 2019. "Designing a GIS-based Platform for Efficient Cost Control and Management of Diagnostic Imaging Examinations," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(4), pages 1-5.
    • Handle: RePEc:spt:admaec:v:9:y:2019:i:4:f:9_4_5
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    Keywords

    Geographic Information Systems; GIS; Management; Diagnostic Imaging Examinations; Revenues; Cost.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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