Abstract
A healthcare system is complex and high-risk. Therefore reliability analysis of a healthcare system is principal step in its development and exploitation. The high-risk of a healthcare system is caused by different factors as human error, failure of devices and equipment, software fault, etc. These factors correlate with complex structure of a healthcare system that consists of technical and human parts. But as a rule in reliability engineering the analysis and estimation of technical components and human factor are implemented based on different methods that have different mathematical backgrounds. One of possible decision of this problem is development of new mathematical model, that allows to describe booth as technical components as human factors. Such model can be defined based on representation of a healthcare system as Multi-state System, for which can be define some (more that only two) performance levels.
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This work is supported by the grant of 7th RTD Framework Programme No 610425 (RASimAs) and grant of Scientific Grant Agency of the Ministry of Education of Slovak Republic (Vega 1/0498/14).
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Zaitseva, E., Levashenko, V., Kostolny, J., Kvassay, M. (2016). New Methods for the Reliability Analysis of Healthcare System Based on Application of Multi-State System . In: Bris, R., Majernik, J., Pancerz, K., Zaitseva, E. (eds) Applications of Computational Intelligence in Biomedical Technology. Studies in Computational Intelligence, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-319-19147-8_14
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