Abstract
Most of modern systems are complex and include heterogeneous subsystems and components, such as software, devices, equipment, that are influenced by human factor. Healthcare systems are a typical example of such systems that have to guarantee the perfect care of a patient and have high reliability. Therefore, the reliability analysis of a healthcare system is an important problem. There are different methods in reliability engineering for analysis and quantification of every healthcare component, but a tendency in reliability analysis needs new methods that evaluate the system as a whole. In accordance with this tendency, one aspect of reliability engineering, known as the importance analysis, is considered. The importance analysis is one of the approaches in reliability engineering. In this paper, new algorithms for the calculation of importance measures are developed. These measures permit to estimate the influence of any component (sub-system) on a healthcare system functioning or failure.
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Zaitseva, E., Kvassay, M., Levashenko, V., Kostolny, J., Pancerz, K. (2015). Estimation of a Healthcare System Based on the Importance Analysis. In: Pancerz, K., Zaitseva, E. (eds) Computational Intelligence, Medicine and Biology. Studies in Computational Intelligence, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-319-16844-9_1
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DOI: https://doi.org/10.1007/978-3-319-16844-9_1
Publisher Name: Springer, Cham
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