Modelling Interpersonal Relations in Surgical Teams with Fuzzy Logic

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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