Reliability analysis of healthcare system

Modern system is complex and includes different types of components such as software, hardware, human factor. Reliability is principal property of this system. The importance analysis is one of approaches in reliability engineering. Application of this approach for healthcare system is considered in this paper. The importance reliability analysis allows estimating the influence of every healthcare system component to the system reliability, its functioning and failure.

[1]  Shaomin Wu,et al.  Joint importance of multistate systems , 2005, Comput. Ind. Eng..

[2]  T. Ganiats.  Human Error in Medicine , 1995 .

[3]  Elena Zaitseva.  Importance analysis of multi-state system by tools of differential logical calculus , 2009 .

[4]  Charles Vincent,et al.  Human reliability analysis in healthcare: A review of techniques , 2004 .

[5]  David W. Coit,et al.  Composite importance measures for multi-state systems with multi-state components , 2005, IEEE Transactions on Reliability.

[6]  G. Levitin,et al.  Multi-state system reliabilit y , 2003 .

[7]  Luca Podofillini,et al.  Importance measures-based prioritization for improving the performance of multi-state systems: application to the railway industry , 2007, Reliab. Eng. Syst. Saf..

[8]  Kishor S. Trivedi,et al.  Importance analysis with Markov chains , 2003, Annual Reliability and Maintainability Symposium, 2003..

[9]  David England,et al.  A principled approach to the design of healthcare systems: Autonomy vs. governance , 2006, Reliab. Eng. Syst. Saf..

[10]  Luca Podofillini,et al.  Generalised importance measures for multi-state elements based on performance level restrictions , 2003, Reliab. Eng. Syst. Saf..

[11]  Enrico Zio,et al.  Reliability engineering: Old problems and new challenges , 2009, Reliab. Eng. Syst. Saf..

[12]  T. Cohen,et al.  Medical and information technologies converge , 2004, IEEE Engineering in Medicine and Biology Magazine.

[13]  Fan C. Meng.  On Some Structural Importance of System Components , 2021, Journal of Data Science.

[14]  V. Levashenko,et al.  Dynamic reliability indices for parallel, series and k-out-of-n multi-state systems , 2006, RAMS '06. Annual Reliability and Maintainability Symposium, 2006..

[15]  Yung-Ruei Chang,et al.  Computing system failure frequencies and reliability importance measures using OBDD , 2004, IEEE Transactions on Computers.

[16]  Balbir S. Dhillon,et al.  Human and Medical Device Reliability , 2003 .

[17]  Daniel Castro.  Meeting national and international goals for improving health care: The role of information technology in medical research , 2009, 2009 Atlanta Conference on Science and Innovation Policy.

[18]  Gregory Levitin,et al.  Importance and sensitivity analysis of multi-state systems using the universal generating function method , 1999 .

[19]  Elena Zaitseva,et al.  Reliability analysis methods for healthcare system , 2010, 3rd International Conference on Human System Interaction.

[20]  Keng Siau,et al.  Health care informatics , 2003, IEEE Transactions on Information Technology in Biomedicine.

[21]  David A. Butler.  A complete importance ranking for components of binary coherent systems, with extensions to multi-state systems , 1979 .