Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method
Abstract This study aims to address the shortage of manpower and resources in the medical engineering departments of healthcare institutions while efficiently executing medical equipment maintenance and achieving controllable maintenance costs. In the absence of historical maintenance data, this res...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-02176-8 |
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| author | Kun Li Lei Su Jing Cheng Yinyan Sun Xinghua Ma |
| author_facet | Kun Li Lei Su Jing Cheng Yinyan Sun Xinghua Ma |
| author_sort | Kun Li |
| collection | DOAJ |
| description | Abstract This study aims to address the shortage of manpower and resources in the medical engineering departments of healthcare institutions while efficiently executing medical equipment maintenance and achieving controllable maintenance costs. In the absence of historical maintenance data, this research uses multi-parameter monitors as a case study. The methodology integrates Fault Tree Analysis (FTA) with the Fuzzy Analytic Hierarchy Process (FAHP) to combine expert judgments and address uncertainties in failure data. The results of this integration are then converted into a Bayesian Network (BN) for probabilistic reasoning and failure analysis. This comprehensive approach enables both qualitative and quantitative analysis of monitor failures across different usage stages (early, mid-term, and late). The analysis encompasses determining the failure probability at each stage, identifying high-risk components, examining the transition of failure modes, gaining insights into the aging characteristics of components, and developing preventive maintenance strategies. A cost-benefit analysis is conducted based on specific practical cases. This methodology successfully identified the failure probability of each component of the monitor at various stages, accurately pinpointed high-risk components, and provided a clear analysis of the transition of failure modes. Following one year of practical application, a significant reduction in costs was observed after implementing this method. The proposed approach effectively addresses the issue of low maintenance efficiency of medical equipment stemming from inadequate manpower and resources. It is particularly advantageous for healthcare institutions in developing countries and smaller medical facilities, significantly enhancing maintenance efficiency while controlling maintenance costs. |
| format | Article |
| id | doaj-art-61c30134e6d147c7a58708a9f91c3cb7 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-61c30134e6d147c7a58708a9f91c3cb72025-08-20T03:22:12ZengNature PortfolioScientific Reports2045-23222025-05-0115111810.1038/s41598-025-02176-8Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical methodKun Li0Lei Su1Jing Cheng2Yinyan Sun3Xinghua Ma43201 Hospital of Xi’an Jiaotong University Health Science Center3201 Hospital of Xi’an Jiaotong University Health Science Center3201 Hospital of Xi’an Jiaotong University Health Science Center3201 Hospital of Xi’an Jiaotong University Health Science Center3201 Hospital of Xi’an Jiaotong University Health Science CenterAbstract This study aims to address the shortage of manpower and resources in the medical engineering departments of healthcare institutions while efficiently executing medical equipment maintenance and achieving controllable maintenance costs. In the absence of historical maintenance data, this research uses multi-parameter monitors as a case study. The methodology integrates Fault Tree Analysis (FTA) with the Fuzzy Analytic Hierarchy Process (FAHP) to combine expert judgments and address uncertainties in failure data. The results of this integration are then converted into a Bayesian Network (BN) for probabilistic reasoning and failure analysis. This comprehensive approach enables both qualitative and quantitative analysis of monitor failures across different usage stages (early, mid-term, and late). The analysis encompasses determining the failure probability at each stage, identifying high-risk components, examining the transition of failure modes, gaining insights into the aging characteristics of components, and developing preventive maintenance strategies. A cost-benefit analysis is conducted based on specific practical cases. This methodology successfully identified the failure probability of each component of the monitor at various stages, accurately pinpointed high-risk components, and provided a clear analysis of the transition of failure modes. Following one year of practical application, a significant reduction in costs was observed after implementing this method. The proposed approach effectively addresses the issue of low maintenance efficiency of medical equipment stemming from inadequate manpower and resources. It is particularly advantageous for healthcare institutions in developing countries and smaller medical facilities, significantly enhancing maintenance efficiency while controlling maintenance costs.https://doi.org/10.1038/s41598-025-02176-8Medical equipment maintenanceMulti-parameter monitorsExpert experienceFuzzy analytic hierarchy processFault tree analysisBayesian network |
| spellingShingle | Kun Li Lei Su Jing Cheng Yinyan Sun Xinghua Ma Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method Scientific Reports Medical equipment maintenance Multi-parameter monitors Expert experience Fuzzy analytic hierarchy process Fault tree analysis Bayesian network |
| title | Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| title_full | Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| title_fullStr | Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| title_full_unstemmed | Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| title_short | Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| title_sort | improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method |
| topic | Medical equipment maintenance Multi-parameter monitors Expert experience Fuzzy analytic hierarchy process Fault tree analysis Bayesian network |
| url | https://doi.org/10.1038/s41598-025-02176-8 |
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