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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References
Romanowski, A., Wozniak, P.: Medical imaging data sharing for emergency cases. In: Romanowski, A., Sankowski, D. (eds.) Computer Science in Novel Applications, pp. 281–307. Lodz Univeristy of Technology Press (2012)
Magrabi, F.: Using cognitive models to evaluate safety-critical interfaces in healthcare. In: CHI 2008 Extended Abstracts on Human Factors in Computing Systems, CHI EA 2008, pp. 3567–3572. ACM, New York (2008)
Harper, P.: A framework for operational modelling of hospital resources. Health Care Management Science 5, 165–173 (2002)
Devi, S.P., Rao, K.S., Sangeetha, S.S.: Prediction of surgery times and scheduling of operation theaters in optholmology department. J. Med. Syst. 36, 415–430 (2012)
Khanna, S., Cleaver, T., Sattar, A., Hansen, D., Stantic, B.: Multiagent Based Scheduling of Elective Surgery. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS, vol. 7057, pp. 74–89. Springer, Heidelberg (2012)
Acampora, G., Loia, V.: A proposal of ubiquitous fuzzy computing for ambient intelligence. Inf. Sci. 178, 631–646 (2008)
Ye, J., Dobson, S., McKeever, S.: Review: Situation identification techniques in pervasive computing: A review. Pervasive Mob. Comput. 8, 36–66 (2012)
Anagnostopoulos, C.B., Ntarladimas, Y., Hadjiefthymiades, S.: Situational computing: An innovative architecture with imprecise reasoning. J. Syst. Softw. 80, 1993–2014 (2007)
Zhou, S., Chu, C.H., Yu, Z., Kim, J.: A context-aware reminder system for elders based on fuzzy linguistic approach. Expert Syst. Appl. 39, 9411–9419 (2012)
Doctor, F., Hagras, H., Callaghan, V.: A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments. Inf. Sci. 171, 309–334 (2005)
Topaloglu, S., Selim, H.: Nurse scheduling using fuzzy modeling approach. Fuzzy Sets Syst. 161, 1543–1563 (2010)
Wi, H., Oh, S., Mun, J., Jung, M.: A team formation model based on knowledge and collaboration. Expert Syst. Appl. 36, 9121–9134 (2009)
Strnad, D., Guid, N.: A fuzzy-genetic decision support system for project team formation. Appl. Soft Comput. 10, 1178–1187 (2010)
Sadegh-Zadeh, K.: The fuzzy revolution: Goodbye to the aristotelian weltanschauung. Artif. Intell. Med. 21, 1–25 (2001)
Bardram, J.E.: Applications of context-aware computing in hospital work: examples and design principles. In: Proceedings of the 2004 ACM Symposium on Applied Computing, SAC 2004, pp. 1574–1579. ACM, New York (2004)
Zadeh, L.A.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh. World Scientific Publishing Co., Inc., River Edge (1996)
Hochheiser, H., Shneiderman, B.: Electronic medical records: usability challenges and opportunities. Interactions 18, 48–49 (2011)
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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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DOI: https://doi.org/10.1007/978-3-642-34300-1_33
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