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Clinical Activity and Schedule Management with a Fuzzy Social Preference System

  • Pawel Wozniak
  • Tomasz Jaworski
  • Pawel Fiderek
  • Jacek Kucharski
  • Andrzej Romanowski
Part of the Studies in Computational Intelligence book series (SCI, volume 457)

Abstract

This work covers the design of an inference system for hospital use by suggesting an automated approach to managing hospital schedules and surgical teams. The authors present a solution for advising head nurses on proper surgical team compositions taking the complex nature of social relationships into account. This paper illustrates an interdisciplinary attempt at solving a persistent problem within a clearly defined and unique environment. Knowledge from the fields of computational intelligence, fuzzy logic, ubiquitous computing, interaction design and operations research is utilised to aid medical professionals. An innovative use of fuzzy logic methods in a real-life application is proposed. The solution is evaluated through simulations.

Keywords

Fuzzy Logic Team Member Surgical Team Social Preference Ubiquitous Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pawel Wozniak
    • 1
  • Tomasz Jaworski
    • 1
  • Pawel Fiderek
    • 1
  • Jacek Kucharski
    • 1
  • Andrzej Romanowski
    • 1
  1. 1.Institute of Applied Computer ScienceLodz University of TechnologyLodzPoland

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