Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization

  • Authors:

  • Aleksander Pur;Marko Bohanec;Nada Lavrač;Bojan Cestnik;Marko Debeljak;Anton Gradišek

  • Affiliations:

  • Ministry of Interior Affairs, Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia and University of Nova Gorica, Nova Gorica, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia and Temida, d.o.o., Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia;Dagra d.o.o., Ljubljana, Slovenia

  • Venue:
  • AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
  • Year:
  • 2007

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Abstract

A public health-care system (HCS) is a complex system that requires permanent monitoring. This paper focuses on the Slovenian national HCS sub-system consisting of a network of health-care professionals at the primary care level. The challenge addressed in this paper is the development and application of intelligent data analysis, decision support and visualization methods aimed to improve the monitoring of human resources of this network. The main outcome is a set of proposed performance indicators and the developed model for monitoring the network of primary health-care professionals of Slovenia. The model enables improved planning and management through data analysis and visualization modules developed for the monitoring of physicians' qualification, age, workload and dispersion.