The Application Value of Sanitary Wipes and Medical Alcohol+Gauze Disinfection Method in the Management and Use of Medical Equipment

Objective:To analyze the effect of sanitary wipes and medical alcohol+gauze disinfection methods on the management and use of medical equipment in hospitals.Methods:From February 2023 to August 2023,80 anorectal surgery medical instruments and equipment were randomly sampled as observation samples,and they were grouped using the random number table method(40 instruments in each group).One group was managed with sanitary wipes and medical alcohol+gauze disinfection method(observation group),and the other group was managed with medical alcohol+gauze disinfection method(control group).The degree of contamination on the surface of instruments and equipment and the staff satisfaction of both groups was noted and compared.Results:After cleaning and disinfection,the relative luminescence luminosity(RLU)value of the surface contamination of the sample instruments and equipment decreased significantly(P<0.05);and after cleaning and disinfection,the relative luminescence luminosity(RLU)of the observation group’s instruments and equipment decreased significantly,and the value was lower than that of the control group,(P<0.05);the results of the nursing job satisfaction questionnaire showed that the scores of each survey item in the observation group were higher than those in the control group,(P<0.05).Conclusion:Integrating sanitary wipes and medical alcohol+gauze disinfection method into the management and use of medical equipment not only improves the disinfection of medical instruments but also improves the job satisfaction of nursing staff.Therefore,this method should be popularized.

Study of large medical equipment allocation in Xuzhou

Objective: To investigate the allocation and management of large medical equipment (LME) in Xuzhou, Jiangsu Province, China, in order to make the best use of LME to meet the medical needs of local people. Methods: The research collected data from all hospitals that have LME in Xuzhou using questionnaire; 38 (97.4%) hospitals returned the questionnaire. Results: In Xuzhou, there are a total of 71 pieces of LME, each serving 126 600 people in an area of 163 km2. Sixty-two percent of them are allocated in urban areas, with Gini coefficient at 0.52, indicating imbalance and biased allocation of LME. Conclusion: The al- location of LME in Xuzhou is out of control and unfairly allocated.

Practice and Exploration of Economic Benefit Evaluation of Medical Equipment in Our Hospital

Objective The evaluation index of medical equipment's economic benefit is based on the usage of medical equipment,the traditional data collection method is time-consuming,laborious and not entirely accurate.The usage of medical equipment is obtained by designing data query statements from the HIS system.Methods First the charging items are in correspondence with the device's name included,second fees and other relevant data are extracted from charging module in HIS.Through a rough estimate of the recovery period and an increase or decrease ratio,the economic benefit of the medical equipment can be analyzed.Results Through the method of the benefit analysis of the medical equipment,we can clearly find out the different economic benefit of the equipment,and finally analyze the reasons.Conclusion Practice has proved that,this methad,it can greatly reduce human,material resources required in data collection and improve the accuracy of the data.It can help hospital managers timely to grasp the operating costs of medical equipment and other information,and also provide scientific data for hospital managers when they purchase reasonable medical equipment.

Discussion on Management Model of Medical Equipment Maintenance in Hospital

With the development of technology, medical equipment plays a more important role in the modern hospital. Medical equipment provides images, physiological results or other schematics of the patients to help doctors deal with the routines. It is also the major tool to the lab assistant in the clinical teaching and studies. It becomes one of a symbol of the technological level in modern hospital. The director of the hospital should establish an effi cacious management pattern to manage the medical equipment, so that it will be operated in good condition to insure the safety of the patients. Since the maintenance is an important part of medical equipment management, it is significant that the hospital should establish a system to fit for itself. The study reviews the issues in hospital medical equipment maintenance management, the development of the maintenance management model and the characteristics, as well as the status at home and abroad. The research has been fi nished by using literature research method, questionnaire survey method and data analysis method. Then we analyze the current status of hospital medical equipment maintenance management model to fi nd the problems. Based on the authentic and effective data from the survey, we can deduce the overview about the maintenance model in Beijing. The paper discusses the advantages and the disadvantages between the different model, and it makes suggestions on the follow aspects, such as system management, quality management, personnel management, cost management, information management perspective.

An Automated Detection Approach of Protective Equipment Donning for Medical Staff under COVID-19 Using Deep Learning

Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers’PPE use in the field of healthcare.In this paper,we construct a dress codes dataset for medical staff under the epidemic.And based on this,we propose a PPE donning automatic detection approach using deep learning.With the participation of health care personnel,we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment,and an effective and robust dataset is constructed with a total of 5233 preprocessed images.Starting from the task’s dual requirements for speed and accuracy,we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety.Experimental results show that compared with three typical deeplearning-based detection models,our method achieves a relatively optimal balance while ensuring high detection accuracy(84.14%),with faster processing time(42.02 ms)after the average analysis of 17 classes of PPE donning situation.Overall,this research focuses on the automatic detection of worker safety protection for the first time in healthcare,which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events.

Self-Reported Use of Personal Protective Equipment during the SARS-CoV-2 Pandemic in Emergency Medical Service Employees in Germany—A Survey

Background: Multicentric prospective cohort investigation survey conducted between 1st of March and 1st of April 2021on SARS-CoV-2 occupational risk for German Emergency Medical Services (EMS) personnel. Study Objectives: Primary: The objective is to take stock of the use and availability of Personal Protective Equipment (PPE) in German EMS, both at managerial and employee level, during the SARS-CoV-2 pandemic. Secondary: Generate additional data on individual perceptions of risk of infection and occurrence of infections at respective places of service. Methods: Multicentric prospective cohort investigation survey conducted online at two levels of German EMS personnel—EMS managers and EMS employees, both medical and paramedical—with questions adapted slightly to fit the respective study population. Results: A total of 34 responses were received in the managerial group;a total of 2389 responses were received in the group of employees. Self-reported PPE adherence of EMS employees for confirmed SARS-CoV-2 positive patients: use of gloves (99.8%), FFP2 or FFP3 masks (99.8%), gowns or coveralls (99.1%), goggles (89.7%), face shields (24.0%), surgical masks (0.0%). Self-reported PPE adherence of EMS employees for suspected SARS-CoV-2 positive patients: gloves (98.8%), FFP2 or FFP3 masks (total: 99.4%), gowns or coveralls (total: 95.9%), goggles (85.6%), face shields (19.2%), surgical masks (0.2%). Conclusions: Findings included an overall improved self-reported adherence to PPE compared to studies that were conducted before the pandemic. Self-reported general adherence to PPE recommendations when attending to confirmed SARS-CoV-2 positive patients was good, with the exception of goggles. Self-reported adherence to PPE recommendations dropped when attending to suspected SARS-CoV-2 positive patients.

Beijing Astronautics Changfeng Medical Equipment Co.Ltd

The Beijing Astronautics Changfeng Medical Equipment Co. Ltd is a large enterprise within the Chinese astronautics system. It is the only key enterprise manufacturing anesthesia machines,monitoring instruments and respirators in China that has been in operation for ten years. The products are used in sev-

Guangdong Huatong Medical Equipment Development General Co.

The Guangdong Huatong Medical Equipment Development General Company is a high-tech enterprise for the development, research, production and trade of medical equipment. In the two years since its establishment, the company has set up the modern work-

Application of Big Data Information Platform in Medical Equipment

The application of big data in the medical device industry mainly refers to the analysis and processing of various medical devices,so as to provide patients with better treatment and rehabilitation services.At present,our country already has a relatively mature and reliable large database system.This article studies the application of medical equipment in the big data information platform.The main methods used in this article are survey method,case analysis method,and interview method.The big data information platform and medical devices are studied from different aspects.The survey results show that 41%of people completely agree with the role of big data information platforms in medical devices.

China's Medical Equipment and Instruments Industry

Great changes have taken place in China’s medical equipment and instruments industry since the launch of the reform. The industry has evolved a new structure consisting of various economic sectors.

A Discussion on setting up the socialized Medical Equipment Maintenance Organization

This paper analyzes the main current characteristics of three operational modes of medical equipment maintenance (depending on the hospital maintenance capability, the manufacturers who produce and sell the plants, and the part-time organizations), and points out their common problems which are that all the three modes are not comprehensive, specialized, and socialized maintenance service organizations that are suitable to hospitals.

Wireless communication and wireless power transfer system for implantable medical device

Traditional magnetically coupled resonant wireless power transfer technology uses fixed distances between coils for research,to prevent fluctuations in the receiving voltage,and lead to reduce transmission efficiency.This paper proposes a closed-loop control wireless communication wireless power transfer system with a wearable four-coil structure to stabilize the receiving voltage fluctuation caused by changes in the displacement between the coils.Test results show that the system can provide stable receiving voltage,no matter how the distance between the transmitting coil and the receiving coil is changed.When the transmission distance is 20 mm,the power transfer efficiency of the system can reach 18.5%under the open-loop state,and the stimulus parameters such as the stimulation period and pulse width can be adjusted in real time through the personal computer terminal.

Medical errors, infection-control breaches and the use of adulterated and misbranded medical devices

Several well-publicized cases of improper cleaning,disinfection or sterilization of contaminated reusable medical equipment that posed an increased risk of patientto-patient disease transmission were reported within the past few years,resulting in the notification of approximately 20 000 patients.These medical errors,the specific infection-control standards they breached,and assessments of the risk of infection associated with each are discussed.Other topics discussed include the Food and Drug Administration’s(FDA)regulation of medical devices and infection-control products;the use of adulterated,misbranded,and investigational devices;consent decrees and associated Certificates of Medical Necessity;and informed patient consent.Focus is placed on liquid chemical sterilization,its history,and the FDA’s recent censure and discontinuation of a medical device labeled with this claim,namely,the STERIS System 1 processor.Recommendations are provided for healthcare facilities,regulatory agencies,manufacturers of reusable medical devices,and professional healthcare organizations and administrations to improve public health and prevent healthcareassociated infections.

The Unrecognized Value of Bio-Medical Engineers in Healthcare Projects in Developing Countries

The healthcare needs of developing countries are great and ever increasing as their populations grow. Few assistance programs have recognized the value of the bio-medical engineer as part of the approach to the provision of healthcare in developing countries. An example of a program, the Bach Mai Hospital Project, in Vietnam, utilizing the talents of the bio-medical engineer, attests to the potential value of bio-medical engineers as part of the healthcare team. Their inclusion in such efforts can result in the saving of lives, time and money. Knowledge of their hospital's excess equipment inventory and their ability to restore medical equipment badly needed in a developing country makes them valuable additions to any medical assistance program.

A Study of Safety Evaluation Method for Medical Diagnostic Table

Medical diagnostic tables are widely used inthemedical diagnostic equipment. For multifarious diagnostic needs, the medical diagnostic table works in various operating modes. In order to ensure patient safety, safety factor of medical diagnostic table must meet safety requirement. The paper puts forward a method to find relations between key parameters and stress of table, identify maximum stress modes, reduce modes number of load test, and remove conservative high stress areas from finite element analysis result, by synthesizingthestress result of finite element analysis and measurement data for various operating modes of medical diagnostic table. It will help shorten test time, avoid over strength design, and reduce table’s cost. An application example of the method is presented by evaluating a specific CT medical diagnostictable. This method can be a reference for safety evaluation of all medical diagnostic tables.

Application Status and Prospect of Three-Dimensional Printing Technology in the Field of Medical Devices

Three-dimensional(3D)printing technology belongs to a new manufacturing science and has been widely used in various fields of industry.This article will apply 3D printing technology as its main research topic,with emphasis on its application in the field of medical devices and prospects for contribution.

以监护仪、输液泵、注射泵为例对全院级医疗设备集中管理模式的实践与探索

目的 探讨建立全院级生命支持类医疗设备集中管理模式的可行性,提高医疗设备精细化管理水平。方法 以我院为主体,选取监护仪、输液泵、注射泵3类设备,从运行模式、绩效分析两个方面建立运行制度,成立医疗设备集中管理中心,实施全院级集中管理。选取2021年7—10月数据作为对照组,选取2022年7—10月数据作为研究组,比较两组数据中3类设备的使用效率,以及两组数据中监护仪的维修周期。结果 实施集中管理后,输注泵使用效率提升9.37%(P﹤0.05),监护仪使用效率提升15.07%(P﹤0.05),监护仪平均维修周期缩短55.93%(P﹤0.05)。结论 医疗设备的集中管理模式可以提升设备使用效率、降低运行成本、降低管理难度,各医疗机构应不断优化管理措施,促进医疗设备的精细化管理。

我国医院数字医学设备数字化转型发展综述

在新技术革命浪潮推动下,我国医院数字医学设备的数字化转型已经成为现代化建设的关键战略。这一转型进程与新型基础设施的升级,以及医疗改革的深化息息相关。本研究全面审视了我国数字医学设备的发展轨迹和现状,深入剖析了此进程中面临的发展机遇、挑战。以此为基础,研究我国数字医学设备数字化转型的未来发展趋势,提出了一系列前瞻性建议,包括巩固和加强产业链基础,促进医工融合创新,提升品牌影响力,推动业务模式创新,以及完善优化数字化体系架构。这些策略将为数字医学设备数字化转型的深入研究与实践提供参考和指导。

对103家三级公立医院医疗设备配置现状的调查与分析

目的:调查103家三级公立医院医疗设备配置现状,分析比对我国不同区域医院的医疗设备占比,为科学合理地配置医疗设备提供依据。方法:采用文献研究和专家咨询法设计调查问卷,通过“中国医学装备”公众号和“好医工”平台发布电子问卷进行调查,分析医疗设备配置数量、国产占比与医院所在区域及医院床位数的相关性。结果:共回收有效问卷103份,涉及华东、华北、华中、华南、西南、西北和东北的103家三级公立医院,其中华北占18%,华东占37%,华南占19%。华北、华南和华东3个样本区域三级公立医院医疗设备配置的平均台件数为9785台/家、9245台/家和8153台/家,甲乙类设备配置数量较少,与床位数无相关性;华北与华东在床位数、每百张床设备台件数以及每百张床设备金额上差异有统计学意义(t=-2.582、2.939、4.653,P<0.05);生命支持类设备配置数量均与床位数有显著正相关,国产占有率尤其是生命支持类设备的国产占有率有所提高。结论:分析我国公立医院医疗设备配置情况,可为医院更好地适应新版甲乙类大型医用设备目录的调整提供数据支撑,为三级医院在大型医用设备配置和国产化的示范推广提供参考依据,为相关卫生管理部门提供借鉴。

基于区块链技术的医疗设备采购管理系统的设计与实现

目的针对传统采购资料易丢失和被篡改,无法保证采购数据安全性的问题,设计一套基于区块链技术的医疗设备采购管理系统。方法系统采用Python编程语言设计,使用Django框架、SQLite数据库,基于区块链技术构建区块链服务器、采购人客户端、采购机构客户端、供应商客户端、监管机构客户端,将整个采购过程中的数据全部进行区块化处理,使得所有数据保存完整,不能被随意窜改,最终实现具有防篡改特性并支持溯源的医疗设备采购管理系统。结果该系统各模块以及防篡改机制均通过测试验证;各模块的平均响应时间均<2 s,响应速度快;模拟网络及身份验证安全测试的结果显示,其安全性能均满足要求。结论将区块链技术应用于医疗设备采购管理系统是可行的方案,其保证了整个采购流程中产生的数据完整可靠并防止被篡改,使得采购信息能够在系统中完整留痕,从而对医疗设备的采购进行全方位管理。