Part of the book series:Studies in Computational Intelligence ((SCI,volume 457))
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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.
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Authors and Affiliations
Institute of Applied Computer Science, Lodz University of Technology, Lodz, Poland
Pawel Wozniak, Tomasz Jaworski, Pawel Fiderek, Jacek Kucharski & Andrzej Romanowski
- Pawel Wozniak
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- Tomasz Jaworski
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- Pawel Fiderek
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- Jacek Kucharski
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- Andrzej Romanowski
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Editor information
Editors and Affiliations
Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland
Ngoc Thanh Nguyen
Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland
Bogdan Trawiński
Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland
Radosław Katarzyniak
, Dept. of Computer Science & Engineering, INHA University, #253 YongHyun-dong, Nam-Ku, Inchon, 402-751, Korea, Republic of (South Korea)
Geun-Sik Jo
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Wozniak, P., Jaworski, T., Fiderek, P., Kucharski, J., Romanowski, A. (2013). Clinical Activity and Schedule Management with a Fuzzy Social Preference System. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_33
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