Estimation of the optimal maintenance frequency of medical devices: A Monte Carlo simulation approach

Cruz, Antonio; Dueñas, William Ricardo Rodríguez

doi:10.1007/978-981-10-4086-3_3

VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016

2017

DOI: 10.1007/978-981-10-4086-3_3

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Estimation of the optimal maintenance frequency of medical devices: A Monte Carlo simulation approach

Antonio Cruz

William Ricardo Rodríguez Dueñas

Abstract: Abstract-This paper aims to implement and validate a Monte Carlo-based algorithm to determine the optimal interval of preventive maintenance of medical devices. The optimization criterion used was that which maximizes the equipment's achieved availability. The Monte Carlo algorithm was implemented and tested using maintenance data from infusion pumps, electrocardiographs, and ECG monitors from both primary and secondary data source of information. The performance of the algorithm behaved well; it had a 65-sec … Show more

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2019

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Cited by 2 publications

References 7 publications

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Evidence-based impact by clinical engineers on global patients outcomes

David¹,

Judd²

2019

Health Technol.

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The intersection of technological changes and societal evolution has transformed every aspect of human life. Technological advancements are transforming how healthcare knowledge is expanding and accelerating the outreach of critical medical services delivery (Jamal et al. in Health Information Management Journal 38(3):26-37, 2009). While this transformation facilitates new opportunities simultaneously it also introduces challenges (Jacobzone and Oxley, 2001). Appropriate Health Technology (HT) is vital to new and existing global health care programs. Therefore, qualified professionals who can safely guide the development, evaluation, installation, integration, performance assurance, and risk mitigation of HT must be in position to lead. Trained Clinical Engineers (CE) and Biomedical Engineers (BE) have been recognized by the World Health Organization (WHO) as the essential practitioners to providing this critically needed guidance. Over the past four years, a senior professional group participated in an international project that seeks evidence for the hypothesis-that the engagement of CE and BE in guiding HTimpacts positively on patient outcomes, while the alternative is that there is no difference. The group collected published data that was subjected to peer review screening; additional data qualification conditions are described in this paper. The project was initiated at the Global CE Summit during the first International Clinical Engineering and Health Technology Management Congress (ICEHTMC) in Hangzhou, China in October 2015 (Global Clinical Engineering Summit at the First International Clinical Engineering and Health Technology Management Congress, 2015). Following the adoption of a resolution to investigate CE contributions to the improvement of world health status, an international survey and literature survey were initiated. During the first two years of this project 150 case studies from 90 countries were identified covering the previous ten years. The results of this survey were presented to health leaders at the World Health Organization (WHO) World Health Assembly in 2016. Last year, 250 case studies were added including 35 more countries covering the 2016-2017 period. The combined project contains 400 qualified submissions from 125 countries. The conclusion was that engagement of CE and BME is critical for successful investment in HT and for achieving intended patient outcomes. This paper describes the project's plan, the results of the literature review performed, and the evidence identified during the process.

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Evidence-based impact by clinical engineers on global patients outcomes

David¹,

Judd²

2019

Health Technol.

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Modelling and simulation of repairable mechanical systems reliability and availability

Kumar

Jain

Soni

2019

Int J Syst Assur Eng Manag

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Markov approach is applicable for reliability and availability modelling when time to failure and repair follow an exponential distribution. Since failure time of mechanical components follows Weibull distribution, Markov approach cannot be employed to these systems. In present work, Semi-Markov model, which is appropriate for repairable mechanical systems, is considered. In structural dependency, once a unit of a repairable system is failed due to one or more of its constituent components, the entire unit is taken for repair. Therefore, the repairs are considered at the unit level. This feature of structural dependency in the proposed approach addresses the problem of larger state space. The states at the unit level are derived from the component states to develop the system model. The solutions for reliability and availability are obtained using the Monte Carlo simulation. The suggested approach is realistic than the existing software's such as Rapid Algorithmic Prototyping Tool for Ordered Reasoning, Blocksim, etc., as failures and repairs are considered at different hierarchical levels. The recommended approach is illustrated for a centrifugal pumping system.

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Estimation of the optimal maintenance frequency of medical devices: A Monte Carlo simulation approach

Cited by 2 publications

References 7 publications

Evidence-based impact by clinical engineers on global patients outcomes

Evidence-based impact by clinical engineers on global patients outcomes

Modelling and simulation of repairable mechanical systems reliability and availability

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