Assessment of the maintenance costs of electro-medical equipment in Spanish hospitals

Aunión-Villa, Juan; Gómez-Chaparro, Miguel; García-Sanz-Calcedo, Justo

doi:10.1080/17434440.2020.1796635

Cited by 6 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Arab Zozani et al (17) emphasized that the allocation of budget and financial resources according to the plans, priorities, and instructions is the most optimal. Furthermore, the study by Aunión-Villa et al (18) showed that the visit burden, the length of stay, the number of beds and operating rooms, the number of staff, and the purchase value of devices have a significant effect on the maintenance costs of electrical medical equipment. On the other hand, maintenance of the equipment requires financial resources, which are limited in the current economic status and the COVID-19 pandemic, especially in public hospitals.…”

Section: Equipment Repair Agencies and Companiesmentioning

confidence: 99%

See 1 more Smart Citation

Effective Dimensions of Medical Equipment Maintenance Management in Educational Hospitals: A Qualitative Study

Ahadinezhad¹,

Khosravizadeh²,

Maleki³

et al. 2022

JEBHPME

View full text Add to dashboard Cite

Background: Medical equipment maintenance plays an important role in improving the equipment's function, increasing its effectiveness and efficiency, providing continuous health services, and improving the quality of services. This study is conducted to investigate the factors affecting medical equipment maintenance management. Methods: The present study was a qualitative investigation based on content analysis that was conducted in 2021. Data collection method was an open ended interview. The interviewees included all medical equipment operators and technicians of educational and medical centers affiliated with Qazvin University of Medical Sciences. The semi-structured interview guide was used as a data collection tool. Qualitative data obtained from interviews were analyzed by the content analysis method. The obtained coded were classified into dimensions and components using MAXQDA Software12 . Results: According to the findings, categories of time constraints, access to information, instructions and programs, type and number of equipment, financial constraints, user, patients, training programs, and equipment repair agencies were the most important factors affecting medical equipment maintenance management. Conclusion: Observing purchasing standards and guaranteed equipment, training all the staff involved, developing and explaining instructions and programs are essential for optimal equipment maintenance. These measurements will reduce the cost of repairing. g medical equipment and the need to purchase equipment; improve equipment, service quality performance, patient and user safety; and increase the device life.

show abstract

Section: Equipment Repair Agencies and Companiesmentioning

confidence: 99%

“…[ DOI: 10.18502/jebhpme.v6i3.10854 ] [ Downloaded from jebhpme.ssu.ac.ir on 2022-[10][11][12][13][14][15][16][17][18][19][20][21][22][23] …”

mentioning

confidence: 99%

Effective Dimensions of Medical Equipment Maintenance Management in Educational Hospitals: A Qualitative Study

Ahadinezhad¹,

Khosravizadeh²,

Maleki³

et al. 2022

JEBHPME

View full text Add to dashboard Cite

show abstract

“…The repair of medical equipment is a challenge that the medical industry must constantly face [23][24][25] due to strong demand and the limited availability of these instruments [26]. A case applied to the preceding is that artificial respirators, categorized as critical equipment, cannot be absent from in-hospital equipment due to their dependence and demand [27,28].…”

Section: Introductionmentioning

confidence: 99%

Flow-Shop Scheduling Problem Applied to the Planning of Repair and Maintenance of Electromedical Equipment in the Hospital Industry

et al. 2022

View full text Add to dashboard Cite

In the literature, several approaches have been proposed to integrate and optimize product supply and construction processes associated with demand management. However, in Industry 4.0, there needs to be more studies related to applying techniques that directly affect the programming and reprogramming process that integrates the industries at the operational level. This document proposes a flow-shop scheduling procedure to address the problem of planning the repair of medical equipment in public hospitals whose main objective is to eliminate downtime and minimize total production time. The research stems from the practical problem of responding to clinical users who make use of critical equipment, such as mechanical respirators, due to COVID-19, and the limited quantity of this equipment, which makes it necessary to have repair planning processes that seek to keep the equipment in operation for the most extended amount of time. The novelty of this study is that it was applied to a critical and real problem in the industry with a high economic and social impact, which has not been explored previously. The results show improvements in the overall planning and execution of electro-medical equipment repair. Several improvements to the applied methods were identified as future work, such as the need to consider work interruptions and psychosocial effects on workers due to the stricter planning of execution times.

show abstract

Principal Components and Neural Networks Based Linear Regression to Determine Biomedical Equipment Maintenance Cost in the Peruvian Social Security Health System

Toledo,

de la Cruz,

Mamani

2024

IFMBE Proceedings

View full text Add to dashboard Cite

Assessment of the maintenance costs of electro-medical equipment in Spanish hospitals

Cited by 6 publications

References 37 publications

Effective Dimensions of Medical Equipment Maintenance Management in Educational Hospitals: A Qualitative Study

Effective Dimensions of Medical Equipment Maintenance Management in Educational Hospitals: A Qualitative Study

Flow-Shop Scheduling Problem Applied to the Planning of Repair and Maintenance of Electromedical Equipment in the Hospital Industry

Principal Components and Neural Networks Based Linear Regression to Determine Biomedical Equipment Maintenance Cost in the Peruvian Social Security Health System

Contact Info

Product

Resources

About