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New Methods for the Reliability Analysis of Healthcare System Based on Application of Multi-State System

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Applications of Computational Intelligence in Biomedical Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 606))

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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References

  1. Armstrong, M.: Reliability-importance and dual failure-mode components. IEEE Trans. Reliab. 46(2), 212–221 (1997)

    Article  Google Scholar 

  2. Birnbaum, Z.W.: On importance of difference components in a multi-component system. Multi-Variant Anal 2, 581–592 (1969)

    MathSciNet  Google Scholar 

  3. Butler, D.A.: A complete importance ranking for components of binary coherent systems with extensions to multi-state systems. Naval Res. Logistics 4, 565–578 (1979)

    Article  Google Scholar 

  4. Caldarola, L.: Coherent system with multi-state components. Nucl. Eng. Design 58(5), 127–139 (1980)

    Article  Google Scholar 

  5. Cohen, T.: Medical and information technologies converge. IEEE Eng. Med. Biol. Mag. 23(3), 59–65 (2004)

    Article  Google Scholar 

  6. Contini, S., Matuzas, V.: New methods to determine the importance measures of initiating and enabling events in fault tree analysis. Reliab. Eng. Syst. Saf. 96(7), 775–784 (2011)

    Article  Google Scholar 

  7. Deeter, J., Rantanen, E.: Human reliability analysis in healthcare. In: Proceedings of Symposium on Human Factors and Ergonomics in Health Care, pp. 45–51. Baltimore, USA (2012)

    Google Scholar 

  8. Dhillon, B.S.: Medical Device Reliability and Associated Areas. CRC Press, p. 264 (2000)

    Google Scholar 

  9. Dhillon, B.S.: Human Reliability and Error in Medical System. World Scientific, p. 233 (2003)

    Google Scholar 

  10. Dixon, N.M., Shofer, M.: Struggling to invent high-reliability organizations in health care settings: insights from the field. Health Serv. Res. 41(4), 1618–1632 (2006)

    Article  Google Scholar 

  11. Farcasiu, M., Prisecaru, I.: MMOSA—A new approach of the human and organizational factor analysis in PSA. Reliab. Eng. Syst. Saf. 123(1), 91–98 (2014)

    Article  Google Scholar 

  12. Fichman, R.G., Kohli, R., Krishnan, R.: The role of information system in healthcare: current research and future trends. Inf. Syst. Res. 22(3), 419–427 (2011)

    Article  Google Scholar 

  13. Hudson, J.C., Kapur, K.C.: Modules in coherent multistate systems. IEEE Trans. Reliab. 32(2), 183–185 (1983)

    Article  MATH  Google Scholar 

  14. Hellmich, M., Berg, H.P.: Markov analysis of redundant standby safety systems under periodic surveillance testing. Reliab. Eng. Syst. Saf. 133(4), 48–58 (2015)

    Article  Google Scholar 

  15. Kuo, W., Zhu, X.: Importance Measures in Reliability, Risk, and Optimization. Wiley, p. 472 (2012)

    Google Scholar 

  16. Li, Y., Zio, E.: A multi-state model for the reliability assessment of a distributed generation system via universal generating function. Reliab. Eng. Syst. Saf. 106(1), 28–36 (2012)

    Article  Google Scholar 

  17. Lisnianski, A., Levitin, G.: Multi-State System Reliability. Assessment, Optimization and Applications. World scientific, p. 358 (2003)

    Google Scholar 

  18. Lisnianski, A., Elmakias, D., Laredo, D., Haim, H.B.: A multi-state Markov model for a short-term reliability analysis of a power generating unit. Reliab. Eng. Syst. Saf. 98(2), 1–6 (2012)

    Article  Google Scholar 

  19. Lyons, M., Adams, S., Woloshynowych, M., Vincent C.: Human reliability analysis in healthcare: a review of techniques. Int. J. Risk Saf. Med. 16(4), 223–237 (2004)

    Google Scholar 

  20. Mohaghegh, Z., Kazemi, R., Mosleh, A.: Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: a hybrid technique formalization original research article. Reliab. Eng. Syst. Saf. 94(5), 1000–1018 (2009)

    Article  Google Scholar 

  21. Meng, F.C.: On some structural importance of system components. J. Data Sci. 7, 277–283 (2009)

    Google Scholar 

  22. Merle, G., Roussel, J.M., Lesage, J.J.: Algebraic determination of the structure function of dynamic fault trees. Reliab. Eng. Syst. Saf. 96(2), 267–277 (2011)

    Article  Google Scholar 

  23. Natvig, B.: Multistate Systems Reliability Theory with Applications. Wiley, New York (2011). 232p

    Book  MATH  Google Scholar 

  24. Reinske, K., Ushakov, I.: Application of Graph Theory for Reliability Analysis. Radio i Sviaz, Moscow, p. 208 (1988) (in Russian)

    Google Scholar 

  25. Rocha, A.: Evolution of information systems and technologies maturity in healthcare. Int. J. Healthc. Inf. Syst. Inform. 6(2), 28–36 (2011)

    Article  Google Scholar 

  26. Smith, D.J.: Reliability, Maintainability and Risk: Practical Methods for Engineers including Reliability Centred Maintenance and Safety-Related Systems. Butterworth-Heinemann Ltd, Oxford, p. 436 (2011)

    Google Scholar 

  27. Seyed-Hosseini, S.M., Safaei, N., Asgharpour, M.J.: Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliab. Eng. Syst. Saf. 91(8), 872–881 (2006)

    Article  Google Scholar 

  28. Shooman, M.L.: Probabilistic Reliability: An Engineering Approach. McGraw-Hill, New York (1968)

    Google Scholar 

  29. Spyrou, S., Bamidis, P.D., Maglaveras, N., Pangalos, G., Pappas, C.: A methodology for reliability analysis in health networks. IEEE Trans. Inf. Technol. Biomed. 12(3), 377–386 (2008)

    Google Scholar 

  30. Taleb-Bendiab, A., England, D., Randles, M., Miseldine, P., Murphy, K.: A principled approach to the design of healthcare systems: autonomy versus governance. Reliab. Eng. Syst. Saf. 91(12), 1576–1585 (2006)

    Article  Google Scholar 

  31. Taylor, E.F.: The reliability engineer in the health care system. In: Proceedings of IEEE the 18th Annual Reliability and Maintainability Symposium, pp. 245–248, USA (1972)

    Google Scholar 

  32. Vaurio, J.K.: Ideas and developments in importance measures and fault-tree techniques for reliability and risk analysis. Reliab. Eng. Syst. Saf. 95(2), 99–107 (2010)

    Article  Google Scholar 

  33. Veeraraghavan, M., Trivedi, K.S.: A combinatorial algorithm for performance and reliability analysis using multistate models. IEEE Trans. Comput. 43(2), 29–233 (1994)

    Article  Google Scholar 

  34. Yu, K., Koren, I., Guo, Y.: Generalized multistate monotone coherent systems. IEEE Trans. Reliab. 43(2), 242–250 (1994)

    Article  Google Scholar 

  35. Zaitseva, E.: Reliability analysis of multi-state system. Dyn. Syst. Geom. Theor. 1(1), 213–222 (2003)

    Google Scholar 

  36. Zaitseva, E.: Importance analysis of a multi-state system based on multiple-valued logic methods. In: Lisnianski, A., Frenkel, I. (eds.) Recent Advances in System Reliability: Signatures, pp. 113–134. Springer, Multi-state Systems and Statistical Inference, London (2012)

    Chapter  Google Scholar 

  37. Zaitseva, E., Levashenko, V., Rusin, M.: Reliability analysis of healthcare system. In: Proceedings of the IEEE Federated Conference on Computer Science and Information Systems, pp. 169–175. Szczecin, Poland (2011)

    Google Scholar 

  38. Zaitseva, E., Levashenko, V.: Importance analysis by logical differential calculus. Autom. Remote Control 74(2), 171–182 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  39. Zaitseva, E., Kostolny, J., Kvassay, M., Levashenko, V., Pancerz, K.: Failure Analysis and Estimation of the Healthcare System. In: Proceedings of the IEEE Federated Conference on Computer Science and Information Systems, pp. 235–240. Krakow, Poland (2013)

    Google Scholar 

  40. Zaitseva, E., Kostolny, J., Kvassay, M., Levashenko, V., Pancerz, K.: Estimation of a healthcare system based on the importance analysis. In: Pancerz, K., Zaitseva, E. (eds.) Computational Intelligence, Medicine and Biology: Selected Links, pp. 3–22. Springer, London (2015)

    Google Scholar 

  41. Zio, E., Marella, M., Podofillini, L.: Importance measures-based prioritization for improving the performance of multi-state systems: application to the railway industry. Reliab. Eng. Syst. Saf. 92(10), 1303–1314 (2007)

    Article  Google Scholar 

  42. Zio, E.: Reliability engineering: old problems and new challenges. Reliab. Eng. Syst. Saf. 94(2), 125–141 (2009)

    Article  Google Scholar 

Download references

Acknowledgments

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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Correspondence to Elena Zaitseva .

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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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  • DOI: https://doi.org/10.1007/978-3-319-19147-8_14

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