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Background: Materiovigilance (Mv) refers to the systematic monitoring and evaluation of medical devices in order to assess their performance and safety during all stages of their life. The purpose of Mv is to identify and avoid any potential hazards or issues linked with medical equipment. In brief, Mv plays an important role in ensuring the performance and safety of medical equipment. It consists of the systematic observation, the collection, and analysis of data on occurrences and adverse events related to medical equipment. The study was conducted to assess knowledge, attitude, and practice regarding Mv among healthcare professionals in tertiary care hospitals. Methods: Self-prepared and validated questionnaires were distributed among healthcare Professionals in India through online forms from December 2022 to July 2023, a cross-sectional questionnaire-based survey was used, with convenience sampling utilized. Responses from 220 subjects were analyzed. Results: The primary objective of this study was to assess the demographic details of the Healthcare Professionals as well as the distribution of knowledge, Attitude, Practice on Mv, in a list of 220 responses, 40% of them know about the Mv. Remaining 60% of them they don’t know about the Mv. Total 220 responses, 76.8% of the Healthcare professionals suggested to thought about the Mv, remaining 23.1% were disagreed. 75 out of 220 healthcare professionals acknowledged to seeing the reporting form and experiencing AE in their patients, while the remaining 145 denied it. Conclusions: This study determined the knowledge, attitude and practice of Mv among healthcare professionals in tertiary care hospitals. According to the current study, the majority of healthcare professionals were knowledgeable and supportive of Mv, however they are not as effective in practice.
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The procurement demonstration process for large-scale medical equipment is a time-intensive and laborious system project,necessitating more effective methods to enhance efficiency.This study introduces a fuzzy decision-making expert system to optimize the procurement process of medical equipment for large hospitals,thereby elevating procurement efficiency and lowering costs.Firstly,an expert database is established using a natural language fuzzy preference scoring method tailored to the characteristics of the hospital's experts.Secondly,weights are assigned to expert decisions,and both subjective and objective in-dices describing equipment characteristics are developed.Lastly,a discriminant function is constructed for decision-making.An application analysis of a particular procurement process yielded a series of rational outcomes based on the overall design,data configuration,and discriminant function.The decisions proposed by the scheme and validated through on-site demonstration and comprehensive assessment,are deemed appropriate.This method has proven to some degree its potential to enhance the efficiency of medical equipment procurement and reduce costs,warranting further research.
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Objective:To analyze the current allocation situation and equity of Class B large medical equipment in China,and provide references for reasonably optimizing the allocation of medical equipment.Methods:Based on the allocation data of Class B large medical equipment in China at the end of the 13th Five Year Plan period,the agglomeration degree method was used to evaluate the equity of equipment allocation in various regions from the dimensions of geography,population,and economic development.Results:The current allocation of Class B large medical equipment per million population was 3.19,and the eastern region(3.64)was higher than the central region(3.42),the central region(2.24)was higher than the western region.The agglomeration degree of medical equipment based on geographical area showed that most of the equipment in the eastern region was in a rich state,and the allocation equity was relatively good in the central region,but generally poor in the western region.The agglomeration degree of medical equipment based on population distribution was higher in the eastern region than in the central region and even higher in the western region.The equipment in the eastern region could basically meet the demand of the local population,while the allocation in the central and western regions was slightly insufficient.The distribution of medical equipment agglomeration degree based on economic development varied significantly among different regions,and the allocation equity of central region was generally better than that of eastern and western regions.Conclusion:The total allocation of Class B large medical equipment in China is not high,and the government needs to continue planning and improving it.The distribution of medical equipment allocation based on geography,population and economic development is unbalanced among the eastern,central and western regions.Improving the equity of medical equipment allocation also needs to consider regional differences and characteristics according to local conditions.
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Objective:To investigate the current situation of medical equipment allocation in 103 tertiary public hospitals,analyze and compare the proportion of medical equipment in different regional hospitals in our country,and provide basis for scientific and reasonable allocation of medical equipment.Methods:A questionnaire was designed by literature research and expert consultation,and an electronic questionnaire was released through the public account of"China Medical Equipment"and the platform of"Good Medical Workers"to analyze the correlation between the number of medical equipment configuration,the proportion of domestic products,the region where the hospital was located and the number of hospital beds.Results:A total of 103 valid questionnaires were collected,involving 103 tertiary public hospitals in East China,North China,Central China,South China,Southwest,Northwest and Northeast China,of which 18%were in North China,37%were in East China and 9%were in South China.In North China,South China and East China,the average number of medical equipment in the tertiary public hospitals in the region was 9785 units per hospital,9245 units per hospital and 8153 units per hospital,and the number of the expensive equipment was relatively small,which had no correlation with the number of beds.There were statistically significant differences between North China and East China in the number of beds,the number of pieces of equipment per 100 beds and the amount of equipment per 100 beds(t=-2.582,2.939,4.653,P<0.05).The number of life support equipment configuration was significantly positively correlated with the number of beds,and the domestic share,especially the domestic share of life support equipment,increased.Conclusion:The analysis of medical equipment allocation in public hospitals in China can provide data support for hospitals to better adapt to the adjustment of the new expensive medical equipment catalogue,provide reference for the demonstration and promotion of large medical equipment allocation and localization in tertiary hospitals,and provide reference for relevant health management departments.
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Objective:It aims at constructing the equipment visualization management system in orthopedics on the basis of Godot engine,as well as exploring and discussing its values related to equipment visualization management system in orthopedics of hospitals.Methods:The equipment visualization management system in orthopedics on the basis of Godot engine was designed which further contained data collection,model drawing and function development,then,it further realized the equipment visualization management in orthopedics by relying on the movable terminal.180 medical equipment commonly used in orthopaedic clinic of Beijing Puren Hospital were selected in 2021-2022.Moreover,they were managed by two modes of management which were respectively the traditional equipment management mode(traditional equipment mode)and equipment visualization management system in orthopedics on the basis of Godot engine(visual system).Finally,the effectiveness of the two management modes of the medical equipment,the level of management and the satisfaction scores of doctors,nurses and patients on the two management modes were assessed accordingly.Results:The time utilization rate,quality stability rate and diagnosis and treatment effectiveness rate of the visual system equipment were respectively(95.37±4.06),(96.74±4.72)and(96.41±5.01)%,which were higher than that of the traditional equipment model and the differences were all statistically significant(t=9.608,9.438,4.909,P<0.05).the standardized placement rate,standardized recording rate and intact rate of the visual system equipment were respectively 97.22%(175/180),97.78%(176/180)and 99.44%(179/180),which were higher than that of the traditional equipment model and the differences were all statistically significant(x2=6.972,11.429,9.656,5.236,P<0.05).the failure rate of the visual system was 5.00%(9/180),which was lower than the traditional equipment mode(x2=5.236,P<0.05).the satisfaction scores of doctors,nurses and patients for the visual system equipment were respectively(95.63±3.47),(96.85±3.21)and(95.79±3.92),which were higher than that of the traditional equipment mode and the difference was statistically significant(t=14.068,17.996,14.438,P<0.05).Conclusion:The application of equipment visualization management system in orthopedics on the basis of Godot engine can visualize and manage medical equipment in orthopedics of hospitals,enhance the equipment effectiveness,intensify the equipment management level,as well as improve the users'satisfaction degree with the equipment.
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Objective:To establish safety objectives and strategies for power distribution of medical equipment to minimize the hazard of electrical switching to medical equipment.Methods:Based on the Hazard Analysis and Risk Assessment(HARA)method,the equipment hazard factors analysis and risk assessment were conducted for electrical switching from the perspective of medical equipment safety management.The Deming Cycle(PDCA)closed-loop management process was adopted to formulate refined the medical equipment power distribution safety objectives and response strategies.Results:In 2023,a total of 6 equipment failures occurred during the two periodic electrical shutdown operations carried out in the hospital's power distribution room,which was significantly lower than the average of 20.4 failures caused by electrician shutdowns from 2018 to 2022,and zero failure in Level I load department and other high-risk areas.Conclusion:The objective and strategy of power distribution safety of medical equipment are highly targeted and implemented,which is an effective way to implement the life cycle fine management of medical equipment.
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Objective:To construct a rationality evaluation system for medical equipment allocation to providing a basis for procurement and rational allocation of medical equipment.Methods:Focusing on the theme of"rationality allocation of medical equipment"and the research objective of"development of an evaluation system",a questionnaire consultation was conducted on relevant personnel in medical institutions in nine provinces and municipalities nationwide by way of wjx.cnas.The relevant research on the construction of the rationality evaluation system for medical equipment allocation in tertiary hospitals from August 2017 to August 2022 was retrieved from China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP Chinese Science and Technology Journal Database,and China Biomedical Literature Database.The index system was constructed by literature study and improved Delphi method,and the index weight was calculated by Analytic Hierarchy Process(AHP)to determine the evaluation system of rationality of medical equipment allocation.Results:The established evaluation system for the rationality of medical equipment allocation included four primary indicators of allocation reasons and conditions,cost factors,benefit factors,and management factors,as well as 17 secondary indicators.Conclusion:The establishment of the evaluation system for the reasonableness of allocation of medical equipment can help the allocation of medical equipment be carried out more objectively and efficiently and provide a basis for scientific procurement and reasonable allocation of medical equipment.
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Objective:To optimize the preventive maintenance path of electric medical equipment by adopting multi-criteria decision analysis(MCDA),and to verify its optimization effect.Methods:The preventive maintenance paths for electric medical equipment were determined through literature research and management group discussions.An expert meeting was organized to discuss,determine,and demonstrate the preventive maintenance path evaluation criteria,and the weight of the criteria was set.Each preventive maintenance path was scored by experts based on criteria,the score of each maintenance path was calculated using the mean and sorted to form the optimal path.767 electric medical equipment of 7 categories in clinical use in the 960th Hospital of the PLA Joint Logistics Support Force from 2021 to 2022 were selected,conventional preventive maintenance management(referred to as conventional management mode)and preventive maintenance path management optimized by MCDA method(referred to as MCDA management mode)were adopted respectively according to different management modes.The changes in indicators such as failure rate,maintenance time,quality inspection pass rate and maintenance cost of electric medical equipment were compared between the two management models.Results:The failure occurrence rate of electric medical equipment of the MCDA management mode was 8.71%(67/767),which was lower than that of the conventional management mode,the difference was statistically significant(x2=3.960,P<0.05).The equipment maintenance time of the MCDA management mode was(2.24±1.17)days,which was lower than that of the conventional management mode,the difference was statistically significant(t=2.360,P<0.05).The quality inspection qualification rate of the MCDA management model was(96.57±2.74)%,which was higher than that of the conventional management mode,the difference was statistically significant(t=4.342,P<0.05).The average maintenance cost of equipment of the MCDA management model accounted for 2.37%of its assets,which was lower than that of the conventional management mode,the difference was statistically significant(x2=4.261,P<0.05).Conclusion:The MCDA method can provide a quantitative structural model for the optimization of preventive maintenance paths for electric medical equipment,and the optimized preventive maintenance paths can achieve efficient management of electric medical equipment,and focusing on the training of maintenance personnel's technical level can increase the self-repair rate and reduce the failure rate of medical equipment.
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Objective To study the diffusion mode and characteristics of large medical equipment allocation and use management policies among different institutions or regions,so as to provide reference for the improvement of policies.Methods The policies on the allocation and use management of large medical equipment released from Janu-ary 1994 to December 2022 were searched on the official websites of the central government,local governments,and health commissions,and databases such as"Peking University Magic".Based on the theory of policy diffu-sion,It analyzed the diffusion characteristics,diffusion mode and influencing factors of large medical equipment allo-cation and use management policy in combination with factors such as policy diffusion intensity,diffusion width,dif-fusion speed,and diffusion direction,and through the policy network analysis identified interrelationships between policies across agencies or across regions.Results It included 161 policy documents for analysis,including 25 central policies and 136 local policies.The development of large medical equipment allocation and use management policies in China can be divided into four periods.The policies with high diffusion intensity,breadth and fast diffusion speed were mainly policy documents such as large medical equipment allocation plan and management measures issued by the National Health Commission,and at the same time,the"top-down"policy vertical diffusion modelwas the main one.Conclusion There were differences in the diffusion effects of large medical equipment allocation and use management policies at different stages,and the policy diffusion effect was obvious in the innovation and develop-ment period.It found that policy diffusion was affected by factors such as the division of administrative powers and responsibilities,and policy types.
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With the rapid development of information technology, what has been widely used in the field of medical and health care includes the home detection of aging population in communities, intelligent health management, special patient positioning care management, information sharing, and interconnection management, which has also brought new opportunities for the innovative management of medical equipment in recent years. We have taken "sense, knowledge and action" as the core, and effectively improved the level of lean management of medical equipment through data acquisition, data modeling and analysis, and remote service or decision response. This paper aims to summarize the application and research progress of intelligent information technology in the lean management of medical equipment in order to provide new ideas for the refined management of medical equipment.
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Introduction: Continuous procurement of various equipments in the hospitals is essential to keep up with global progress of healthcare services. In public sectors, procurement process largely depends on budget sanctions and also by a number of formal procedures and rules which leads to delayed procurement. With this prevalent scenario, the present study was carried out to evaluate the procurement of two major equipments in an apex tertiary care institute using Project Evaluation and Review Technique (PERT). Objective: This study was done to evaluate the procurement of two major equipments using PERT in a tertiary care institute. Method: This study was conducted using Operational Research technique in an apex tertiary care institute i.e., medical college and hospital, in one of the North Eastern states of India. All the procurements related to equipments in that teaching hospital initiated in the financial year 2021 were listed. Out of them, two procurement files were selected by simple random sampling; procurement of Operating Table and Bio Safety cabinet Level – III. Project Evaluation and Review Technique (PERT) was applied to calculate the possible reduction in time in the whole procurement process. Results: The present study showed that procurement of Operating table took 185 days where minimum 8 days could have been saved and procurement of Bio-Safety cabinet Level-III was completed by 702 days where minimum 196 days could have been saved. Conclusion: Application of PERT in this procurement evaluation process can play significant role by calculating critical path and predicting the possible delay.
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Objective:To investigate and analyze the allocation and use of the common pediatric medical equipment and drugs in community health service centers, so as to provide decision-making reference for further strengthening the capacity-building of community children′s health services.Methods:Using multi-stage stratified random sampling method, 30 community health service centers in 14 cities were selected to investigate the basic situation of the sample centers, and the allocation and use of 21 kinds of commonly used pediatric medical equipment and 23 kinds of commonly used children′s drugs from April to August 2020.Results:The overall allocation rate of 21 commonly used pediatric medical equipment in the sample centers was 61.9%, and the overall utilization rate was 62.6%. The overall allocation rate of 23 commonly used drugs for children in the sample centers was 46.67%, and the overall utilization rate was 31.1%. There was a statistically significant difference in the utilization rate of equipment among different levels of urban community health service centers ( P<0.05); There were statistically significant differences in the allocation rate of commonly used children′s drugs among community health service centers under different regions, cities at different levels, types of jurisdictions, and institutional types ( P<0.05). Conclusions:The overall allocation and utilization rate of commonly used pediatirc medical equipment and drugs in urban community health service centers in China were relatively low, especially the drug utilization rate. The author suggested that the government should further strengthen the construction of grassroots pediatric diagnosis and treatment service capabilities, and reasonably equip commonly used pediatric medical equipment and drugs at the grassroots level.
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Objective:To explore the module of the construction and application of medical first-aid at the door of the space capsule and the air evacuation.Methods:According to the purpose, principle, and method set by the module, it was divided into two sub-modules: medical first-aid at the door of the space capsule and the air evacuation. During the comprehensive first-aid training, independent training and combined training were carried out respectively according to different mission stages of launch and recovery and different recovery terrain. Meanwhile, research was performed to ensure that medical carrying equipment was lightweight, modular, and portable, and the efficiency of modularization construction was tested in the comprehensive training.Results:The module of medical first-aid at the door of the space capsule and the air evacuation obviously shortened the rescuing time during the comprehensive training, the saving effect was remarkable, and the overall saving efficiency was significantly improved.Conclusions:The module of medical first-aid at the door of the space capsule and the air evacuation meet the requirements that the emergency support system of aerospace medicine should function on an immediate basis, ensuring accurate treatment and air evacuation without any delay, so that to achieve the aim of aerospace medicare.
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Objective To comprehensively analyze and understand the status of medical resources of radiological diagnosis and treatment in Suzhou, China, and to provide a basis for the health administration departments to reasonably plan and allocate medical radiation resources. Methods The radiological diagnosis and treatment institutions were registered on the radiation health information platform of Jiangsu province, and information was entered as required. Results There were totally 793 radiological diagnosis and treatment institutions at all levels in Suzhou, including 22 (6.04%) tertiary institutions. There were 2208 radiological diagnosis and treatment equipment. The number of X-ray diagnosis and treatment equipment per million people in Suzhou was 205.40. However, there was no class A large-scale medical equipment. Conclusion Compared with 2005, the numbers of radiological diagnosis and treatment institutions and equipment in Suzhou increased significantly. However, government departments at all levels should strengthen overall regulation and control to improve the rational allocation of high-tech medical resources.
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Objective To evaluate the rationality of the number of configured monitors based on error back propagation(BP)neural network.Methods A BP neural network model was established with the number of the equipment in use as the output result and the average number of inpatients,the average number of operations,the average days of hospitalization,the number of scrapped equipment,the average age of equipment and times of equipment maintenance as the input indicators.The data of 9 internal medicine departments in the whole year of 2020-2021 and the first 2 quarters of 2022 were collected on a quarterly basis as the training set,and the data of the third quarter of 2022 was used as the test set to verify the learning results.The performance of the model was analyzed using the root mean square error,mean absolute error and coefficient of determination.Results The model established behaved well in prediction with the root mean square error between the predicted and expected values of the model being 1.135 7,the mean absolute error being 0.893 72 and the coefficient of determination being 0.958 71.Conclusion The BP neural network-based evaluation is feasible for the number of configured monitors,and guidance is provided for the optimized configuration of the equipment.[Chinese Medical Equipment Journal,2023,44(9):14-18]
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Objective To develop an intelligent positioning system for mobile medical equipment in the operating room based on Bluetooth technology to enhance medical equipment management efficiency.Methods The intelligent positioning system for mobile medical equipment used received signal strength indication(RSSI)algorithm and multi-gateway trajectory filtering algorithm to realize Bluetooth positioning,which was composed of Bluetooth gateways,Bluetooth beacons,Bluetooth labels and a background data processing platform.The Bluetooth gateway consisted of an active power over ethernet(POE)module,a DC power module,a CPU,a Wi-Fi module and a Bluetooth module;the Bluetooth beacon included a beacon control unit,a Bluetooth transmitter module and a Bluetooth receiver module;the Bluetooth label was made up of a microcontroller unit(MCU),a Bluetooth module,an anti-temper switch and a accelerometer;the data processing platform had the front end developed with Vue architecture and the back end with Java language.Results The system developed could accurately locate the medical equipment in the operating room without electromagnetic interference to other medical devices.Conclusion The system developed gains advantages in high positioning accuracy,low electromagnetic interference,high stability and reliability and low cost,which improves the positioning and management efficiency of medical equipment under the premise of ensuring safety.[Chinese Medical Equipment Journal,2023,44(9):29-32]
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Objective To propose an optimization method for medical equipment data collection based on wireless sensor network in order to solve the problems of high packet loss rate and prolonged time delay for wireless sensor network to acquire medical equipment data.Methods The multi-dimensional state data of medical equipment operation were collected using wireless sensor network and fused with the ant colony optimization algorithm;then the routing strategy was optimized using the adaptive step fruit fly optimization algorithm,and data stream congestion was controlled with the virtual queue-based congestion control algorithm from the levels of rate adjustment and active packet loss.The method proposed was compared with the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network in terms of pocket loss rate and time delay to verify its effectiveness and advantages.Results The method proposed had a packet loss rate of only 8.6%for data acquisition at a sampling rate of 80 Kibit/s and an average time delay of about 0.115 s in case of 500 sensor nodes,which were much lower than those of the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network.Conclusion The method proposed improves the efficiency of multi-dimensional state data collection and allieves the data flow congestion of wireless sensor network.References are provided for remote monitoring of medical equipment operation state.[Chinese Medical Equipment Journal,2023,44(9):83-87]
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Objective To explore the influence of prepositioned service on medical equipment procurement demand presentation.Methods An observation group was established with the projects involving the material purchasing department in medical equipment procurement demand presentation in 2022,and a control group was formed with the projects not involving the material purchasing department in 2021.The two groups were compared in terms of presentation modification rate,rate of parameter challenge,success rate of parameter challenge and annual department satisfaction.Results The rate of parameter challenge and success rate of parameter challenge in the observation group were 8.37%,3.04%and 1.14%respec-tively,which were significantly lower than those(15.45%,6.67%and 3.94%respectively)in the control group(all P<0.05);the mean value of the annual departmental satisfaction of the observation group was(82.25±8.01)points,which was significantly higher than that of the control group(73.51±8.91)points(P<0.05).Conclusion The involvement of the material purchasing department in clinical department demand presentation effectively enhances medical equipment procurement demand presentation and satisfaction of clinical departments for the material purchasing department.[Chinese Medical Equipment Journal,2023,44(9):88-91]
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Objective To design a mobile intelligent inventory system for medical equipment to solve the problems of medical equipment management in efficiency and accuracy due to manual inventory.Methods A mobile intelligent inventory system for medical equipment was designed with radio frequency identification(RFID)technology,optical character recognition technology and wireless network technology,which was composed of a photo acquisition device,an inventory workstation,a wireless router,a mobile cart,a RFID barcode printer and a mobile power source.The photo acquisition device realized equipment image collection with a photography App in the cell phone or tablet computer;the inventory workstation consisted of an offline inventory system and an equipment nameplate recognition system,which built inventory tasks with Tomcat Web service and identified equipment nameplate information through feature-based learning algorithms;the RFID barcode printer controlled label printing by an offline inventory system embedded into its driver.Results The system developed executed medical equipment inventory and labeling simultaneously,which established electronic file for each piece of equipment to realize accounts corresponding to the equipment accurately.Conclusion The inventory system developed enhances the efficiency of medical equipment inventory,standardizes the flow of medical equipment ledger management and provides support for life-cycle management of medical equipment.[Chinese Medical Equipment Journal,2023,44(11):45-49]
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The problems existing in the management of medical equipment in the General hospital of the Ethiopian Defense Forces were introduced,and some suggestions were put forward from domestic aid units,equipment suppliers,aid medical teams and assisted hospitals.The management efficiency of aid-Ethiopia medical equipment and the medical service capacity of the assisted hospitals were enhanced greatly.References were provided for the medical equipment management during foreign aid missions.[Chinese Medical Equipment Journal,2023,44(11):95-99]