A Modern Approach for Maintenance Prioritization of Medical Equipment

Corciovă, Călin; Andriţoi, Doru; Luca, Cătălina

doi:10.5772/intechopen.92706

Cited by 13 publications

(12 citation statements)

References 19 publications

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“…According to the World Health Organisation (WHO), initial expenses, and operating expenditures are two categories of required financial resources in maintaining medical equipment ( 35 ). Corciova et al ( 36 ) added that maintenance expenses represent a significant portion of the entire healthcare system which required 15–60% of the total cost to operate. Improper maintenance may affect performance and safety which greatly gave significant impact on the expenditure of healthcare institutions ( 37 ).…”

Section: Resultsmentioning

confidence: 99%

A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

Zamzam

Wahab

Azizan

et al. 2021

Front. Public Health

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Medical equipment highly contributes to the effectiveness of healthcare services quality. Generally, healthcare institutions experience malfunctioning and unavailability of medical equipment that affects the healthcare services delivery to the public. The problems are frequently due to a deficiency in managing and maintaining the medical equipment condition by the responsible party. The assessment of the medical equipment condition is an important activity during the maintenance and management of the equipment life cycle to increase availability, performance, and safety. The study aimed to perform a systematic review in extracting and categorising the input parameters applied in assessing the medical equipment condition. A systematic searching was undertaken in several databases, including Web of Science, Scopus, PubMed, Science Direct, IEEE Xplore, Emerald, Springer, Medline, and Dimensions, from 2000 to 2020. The searching processes were conducted in January 2020. A total of 16 articles were included in this study by adopting Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). The review managed to classify eight categories of medical equipment reliability attributes, namely equipment features, function, maintenance requirement, performance, risk and safety, availability and readiness, utilisation, and cost. Applying the eight attributes extracted from computerised asset maintenance management system will assist the clinical engineers in assessing the reliability of medical equipment utilised in healthcare institution. The reliability assessment done in these eight attributes will aid clinical engineers in executing a strategic maintenance action, which can increase the equipment's availability, upkeep the performance, optimise the resources, and eventually contributes in providing effective healthcare service to the community. Finally, the recommendations for future works are presented at the end of this study.

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Section: Resultsmentioning

confidence: 99%

A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

Zamzam

Wahab

Azizan

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…The combination of 16 novel features, which are ( 1 ) age, ( 2 ) function, ( 3 ) PM status, ( 4 ) missed PPM, ( 5 ) maintenance requirement, ( 6 ) maintenance complexity, ( 7 ) downtime, ( 8 ) operations, ( 9 ) number of failures, ( 10 ) response time, ( 11 ) repair time, ( 12 ) backup and alternative unit, ( 13 ) maintenance cost, ( 14 ) asset status, ( 15 ) obsolescence, and ( 16 ) asset condition was used for prioritisation assessment and prediction of medical equipment's comprehensive strategic maintenance management. The system development measured 13,352 various types of medical equipment used in Malaysian public health clinic facilities.…”

Section: Discussionmentioning

confidence: 99%

“…The World Health Organisation (WHO) divided the financial resources required for medical equipment maintenance into two categories: initial and operating expenditures ( 13 ). In addition, findings from Corciova et al ( 14 ), indicated that 15–60% of the entire healthcare system operation were used in maintenance expenditures. Bahreini et al ( 15 ) stated that unprofessional maintenance execution affected overall healthcare institutions' healthcare performance, safety, and expenses.…”

Section: Introductionmentioning

confidence: 99%

Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management

Zamzam

Al-Ani

Wahab

et al. 2021

Front. Public Health

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The advancement of technology in medical equipment has significantly improved healthcare services. However, failures in upkeeping reliability, availability, and safety affect the healthcare services quality and significant impact can be observed in operations' expenses. The effective and comprehensive medical equipment assessment and monitoring throughout the maintenance phase of the asset life cycle can enhance the equipment reliability, availability, and safety. The study aims to develop the prioritisation assessment and predictive systems that measure the priority of medical equipment's preventive maintenance, corrective maintenance, and replacement programmes. The proposed predictive model is constructed by analysing features of 13,352 medical equipment used in public healthcare clinics in Malaysia. The proposed system comprises three stages: prioritisation analysis, model training, and predictive model development. In this study, we proposed 16 combinations of novel features to be used for prioritisation assessment and prediction of preventive maintenance, corrective maintenance, and replacement programme. The modified k-Means algorithm is proposed during the prioritisation analysis to automatically distinguish raw data into three main clusters of prioritisation assessment. Subsequently, these clusters are fed into and tested with six machine learning algorithms for the predictive prioritisation system. The best predictive models for medical equipment's preventive maintenance, corrective maintenance, and replacement programmes are selected among the tested machine learning algorithms. Findings indicate that the Support Vector Machine performs the best in preventive maintenance and replacement programme prioritisation predictive systems with the highest accuracy of 99.42 and 99.80%, respectively. Meanwhile, K-Nearest Neighbour yielded the highest accuracy in corrective maintenance prioritisation predictive systems with 98.93%. Based on the promising results, clinical engineers and healthcare providers can widely adopt the proposed prioritisation assessment and predictive systems in managing expenses, reporting, scheduling, materials, and workforce.

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“…The implementation of a new medical device should account for the existing medical protocols, which should be kept in place. The integration of the equipment has multiple benefits: efficiency, easiness, familiarity, and easier maintenance, all of which lead to an increased adoption potential and thus contributes towards the clinical and commercial success of the equipment [ 42 ].…”

Section: Methodsmentioning

confidence: 99%

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

et al. 2022

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Medical robotics is a highly challenging and rewarding field of research, especially in the development of minimally invasive solutions for the treatment of the worldwide leading cause of death, cancer. The aim of the paper is to provide a design methodology for the development of a safe and efficient medical robotic system for the minimally invasive, percutaneous, targeted treatment of hepatocellular carcinoma, which can be extended with minimal modification for other types of abdominal cancers. Using as input a set of general medical requirements to comply with currently applicable standards, and a set of identified hazards and failure modes, specific methods, such as the Analytical Hierarchy Prioritization, Risk Analysis and fuzzy logic Failure Modes and Effect Analysis have been used within a stepwise approach to help in the development of a medical device targeting the insertion of multiple needles in brachytherapy procedures. The developed medical device, which is visually guided using CT scanning, has been tested for validation in a medical environment using a human-size ballistic gel liver, with promising results. These prove that the robotic system can be used for the proposed medical task, while the modular approach increases the chances of acceptance.

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A Modern Approach for Maintenance Prioritization of Medical Equipment

Cited by 13 publications

References 19 publications

A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

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