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Modelling Interpersonal Relations in Surgical Teams with Fuzzy Logic

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Advances in Artificial Intelligence (MICAI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7629))

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Abstract

This paper reports on the design and development of a novel interactive system for managing this cooperation between remote wards in a children’s hospital. This work focuses on the design of a decision-making system that aids in assembling surgical teams. Surgical team rosters were modelled using fuzzy inference methods in order to include existing personal preferences and to achieve greater efficiency in using hospital’s resources. The design of the system is based on user studies and simulations were performed to test the feasibility of the solution. In this interdisciplinary endeavour, the research team combined knowledge from the fields of interaction design, ubiquitous computing, operations research and fuzzy modelling to tackle a real-life problem in a medical safety-critical setting.

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Author information

Authors and Affiliations

  1. Institute of Applied Computer Science, Lodz University of Technology, Poland

    Andrzej Romanowski, Pawel Wozniak, Tomasz Jaworski, Pawel Fiderek & Jacek Kucharski

Authors
  1. Andrzej Romanowski
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  2. Pawel Wozniak
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  3. Tomasz Jaworski
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  4. Pawel Fiderek
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  5. Jacek Kucharski
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Editor information

Editors and Affiliations

  1. Eje Central Lazaro Cardenas Norte, Mexican Petroleum Institute, 152, Col. San Bartolo Atepehuacan, CP 07730, MĂ©xico D.F., Mexico

    Ildar Batyrshin

  2. Tecnológico de Monterrey, Campus Estado de México, Carretera Lago de Guadalupe Km 3.5, Atizapán de Zaragoza, ,,, CP 52926, Estado de México, Mexico

    Miguel González Mendoza

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Romanowski, A., Wozniak, P., Jaworski, T., Fiderek, P., Kucharski, J. (2013). Modelling Interpersonal Relations in Surgical Teams with Fuzzy Logic. In: Batyrshin, I., González Mendoza, M. (eds) Advances in Artificial Intelligence. MICAI 2012. Lecture Notes in Computer Science(), vol 7629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37807-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-37807-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37806-5

  • Online ISBN: 978-3-642-37807-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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