Doctoral dissertation
Model for Monitoring and Assessment of a Public Health Care Network
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Abstract
It is hard to imagine the management of any system without monitoring it as a process of continuously
gathering data and performing real-time analyses. In general, monitoring can improve the estimation of the
current state, optimization of the business processes, identification of the critical elements and new
opportunities, and prediction of the future state and planning. This dissertation is focused on the
development of models for the monitoring of organizational systems such as the Primary Health Care
Network (PHCN). In order to improve the monitoring systems, this work proposes the use of advanced data
analysis techniques such as assessment models, Data Mining (DM) techniques, and advanced data
visualizations. Considering that these techniques can make monitoring models very complicated, we suggest
a new methodology for developing monitoring models based on Hierarchical Assessment and Monitoring
Models (HAMM), the Generic Templates (GT), and advanced data analysis techniques. The contributions of
this dissertation also include suggestions for using advanced data analysis techniques in monitoring systems,
the new model for monitoring of PHCNs, and analyses of the Slovenian PHCN based on the proposed model
in the projects of MediMap (2004), MediNet (2005), MediNet+ (2006), and MediNet++ (2008).