Big Data Processing of Diagnostic Imaging Examinations Using a Self-Developed Digital Platform

Abstract

Background: The aim of this survey is the presentation of a health information system that is eligible for processing and archiving clinical and economic health data by creating an online database that spots the origin of data on digital maps. Data concerns the cost of imaging examinations, number of hospital beds and number of clinical examinations. Methods: Geographical information Systems (GIS) can be used for the rational management of diagnostic imaging examinations and the creation of a data basement that contains clinical protocols, patients’ history and financial data. Users can exchange large volumes of the specific data very fast even between health units and hospitals. GIS Statistics enables users to estimate several financial indicators. Data concerns 5 Greek Public Health Units (H.Us) in the 6th Health Region. Results: GIS platform enables users to process big health data and share them on a geodatabase. SPSS analysis in combination with GIS statistics tools reveal an overtime increase of imaging exams in the majority of hospitals. Conclusions: The presented digital platform is a very useful tool for the rational management of clinical and financial data of healthcare units. It provides easy access to big data and enables users to gain in time data from digital maps in order to improve public health.