<strong>Background:</strong> Multicentric prospective cohort investigation survey conducted between 1<sup>st</sup> of March and 1<sup>st</sup> of April 2021on SARS-CoV-2 occupationa...<strong>Background:</strong> Multicentric prospective cohort investigation survey conducted between 1<sup>st</sup> of March and 1<sup>st</sup> of April 2021on SARS-CoV-2 occupational risk for German Emergency Medical Services (EMS) personnel. <strong>Study Objectives: Primary:</strong> 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. <strong>Secondary:</strong> Generate additional data on individual perceptions of risk of infection and occurrence of infections at respective places of service. <strong>Methods:</strong> 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. <strong>Results:</strong> 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%). <strong>Conclusions:</strong> 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.展开更多
The utility model discloses a new type of flat vehicle for emergency patient transfer, comprising a support frame, a bed board, an infusion stand and a transfer assembly;the transfer assembly comprises a trapezoidal b...The utility model discloses a new type of flat vehicle for emergency patient transfer, comprising a support frame, a bed board, an infusion stand and a transfer assembly;the transfer assembly comprises a trapezoidal base fixed on the upper part of the support frame, and a trapezoid mounted on the bottom or side of the bed board. A sliding sleeve, a limit pin, a fixing cylinder and a spring;the trapezoidal sliding sleeve is matched on the trapezoidal base, a pin shaft hole is arranged on the trapezoidal base, the fixing cylinder is fixed on the trapezoidal sliding sleeve, and the limit pin is sleeved in the fixing cylinder, The bottom of the limit pin protrudes from the trapezoidal sliding sleeve, and the upper part is provided with a traction rod;the spring is sleeved on the traction rod, and a limiting plate is arranged at intervals on both sides of the trapezoidal base, and the limiting plate is wrapped in the trapezoidal sliding sleeve. The outer end: by setting the transfer component, the bed board is allowed to be fixed, slid and completely disengaged from the support frame, which is convenient for transferring the bed board together with the patient on it during the patient transfer process. It provides convenience for medical staff.展开更多
目的:设计一种基于光学字符识别(optical character recognition,OCR)模型的医疗救治装备数据采集平台,以实现应急灾害救援条件下医疗数据的自动化采集。方法:该平台以医疗物联网“感知—网络—平台”架构为基础构建。首先,选取Raspberr...目的:设计一种基于光学字符识别(optical character recognition,OCR)模型的医疗救治装备数据采集平台,以实现应急灾害救援条件下医疗数据的自动化采集。方法:该平台以医疗物联网“感知—网络—平台”架构为基础构建。首先,选取Raspberry Pi 4B作为边缘节点,使用视频采集卡、摄像头、平板计算机等搭建硬件环境。其次,基于卷积循环神经网络(convolutional recurrent neural network,CRNN)优化OCR模型,通过软硬件协同方式实现医疗终端视频流处理与数据提取。最后,采用FineBI工具实现交互界面设计与数据库链接。结果:经实验验证,该平台的硬件环境可靠、稳定,优化后的OCR模型文本识别准确率提升,且采用该平台能够实现对医疗设备数据的快速、自动化采集。结论:采用该平台能够为医护人员提供全面、准确的医疗救治装备数据支撑,有利于提升医疗救治效率。展开更多
The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and...The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and arrangement for development target,key tasks,展开更多
文摘<strong>Background:</strong> Multicentric prospective cohort investigation survey conducted between 1<sup>st</sup> of March and 1<sup>st</sup> of April 2021on SARS-CoV-2 occupational risk for German Emergency Medical Services (EMS) personnel. <strong>Study Objectives: Primary:</strong> 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. <strong>Secondary:</strong> Generate additional data on individual perceptions of risk of infection and occurrence of infections at respective places of service. <strong>Methods:</strong> 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. <strong>Results:</strong> 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%). <strong>Conclusions:</strong> 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.
文摘The utility model discloses a new type of flat vehicle for emergency patient transfer, comprising a support frame, a bed board, an infusion stand and a transfer assembly;the transfer assembly comprises a trapezoidal base fixed on the upper part of the support frame, and a trapezoid mounted on the bottom or side of the bed board. A sliding sleeve, a limit pin, a fixing cylinder and a spring;the trapezoidal sliding sleeve is matched on the trapezoidal base, a pin shaft hole is arranged on the trapezoidal base, the fixing cylinder is fixed on the trapezoidal sliding sleeve, and the limit pin is sleeved in the fixing cylinder, The bottom of the limit pin protrudes from the trapezoidal sliding sleeve, and the upper part is provided with a traction rod;the spring is sleeved on the traction rod, and a limiting plate is arranged at intervals on both sides of the trapezoidal base, and the limiting plate is wrapped in the trapezoidal sliding sleeve. The outer end: by setting the transfer component, the bed board is allowed to be fixed, slid and completely disengaged from the support frame, which is convenient for transferring the bed board together with the patient on it during the patient transfer process. It provides convenience for medical staff.
文摘目的:设计一种基于光学字符识别(optical character recognition,OCR)模型的医疗救治装备数据采集平台,以实现应急灾害救援条件下医疗数据的自动化采集。方法:该平台以医疗物联网“感知—网络—平台”架构为基础构建。首先,选取Raspberry Pi 4B作为边缘节点,使用视频采集卡、摄像头、平板计算机等搭建硬件环境。其次,基于卷积循环神经网络(convolutional recurrent neural network,CRNN)优化OCR模型,通过软硬件协同方式实现医疗终端视频流处理与数据提取。最后,采用FineBI工具实现交互界面设计与数据库链接。结果:经实验验证,该平台的硬件环境可靠、稳定,优化后的OCR模型文本识别准确率提升,且采用该平台能够实现对医疗设备数据的快速、自动化采集。结论:采用该平台能够为医护人员提供全面、准确的医疗救治装备数据支撑,有利于提升医疗救治效率。
文摘The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and arrangement for development target,key tasks,
