Analysis of the Effect of Humanistic Care in the Process of Pre-Hospital Emergency Care

Objective:To explore the effectiveness of humanistic care in pre-hospital emergency care.Methods:From April 2020 to January 2021,80 pre-hospital emergency patients were studied.The patients were randomly divided into two groups:a control group(n=40),which received conventional care,and an experimental group(n=40),which received humanistic care.The effects of nursing care and psychological state were compared between the two groups.Results:The experimental group showed better nursing outcomes and a more positive psychological state compared to the control group(P<0.05).Conclusion:Humanistic care in pre-hospital emergency settings is more effective in reducing patients’anxiety and depression,enhancing the operational abilities and service attitudes of nursing staff,and increasing the emergency success rate.

An overview of the construction of emergency and pre-hospital first aid platform

To further improve the ability of pre-hospital and in-hospital collaborative treatment, strengthen emergency multidisciplinary cooperation and construct a scientific, rational and efficient emergency system, under the support of former chairman Yu Xue-zhong, Dr. Li Chun-sheng and numerous colleagues in the industry, the Emergency Medicine Society of the Chinese Medical Association appeal to us to draft Construction of Emergency and Pre-hospital Platform. Based on this background, the platform of emergency and pre-hospital first aid helps to build a 'one horizontal and one Longitudinal' treatment model, using the horizontal and longitudinal patterns to integrate emergency medical resources to satisfy the automatic information integration and intelligent analysis sharing, realizing the emergency management visualization and medical information digitization, simplifying the medical process and establishing a perfect standard for the emergent diseases, thereby ultimately achieving efficient diagnosis and scientific treatment.

Framework Design of Emergency Public Warning Information Release Platform in Hunan Province

Construction background of Hunan emergency public warning information release platform was introduced,and current status and demands of provincial information release were analyzed.Supported by GIS,Java,and Net,Hunan early warning information release platform of public emergency was constructed based on ORACLE database and Windows 2008 Server,achieving information collection,packaging,transmission,de-packaging,and releasing concentration,standard and processing.In addition,the framework and functional characters of the system were illustrated and the innovation points were explored.The system provides guarantee for meteorological services and disaster prevention or reducing of Hunan public emergencies.

Coupling Effects of A Deep-Water Drilling Riser and the Platform and the Discharging Fluid Column in An Emergency Disconnect Scenario

As drilling operations move into remote locations and extreme water depths, recoil analysis requires more careful considerations and the incidence of emergency disconnect is increased inevitably. To accurately capture the recoil dynamics of a deep-water riser in an emergency disconnect scenario, researchers typically focus on modelling the influential subsystems (e.g., the tensioner, the mud discharge and seawater refilling process) which can be solved in the preprocessing, and then the determined parameters are transmitted into an existing global riser analysis software. Distinctively, the current study devotes efforts into the coupling effects resulting from that the suspended riser reacts the platform heave motion via the tensioner system in the course of recoil and the discharging fluid column follows the oscillation of the riser in the mud discharge process. Four simulation models are established based on lumped mass method employing different formulas for the top boundary condition of the riser and the discharging flow acceleration. It demonstrates that the coupling effects discussed above can significantly affect the recoil behavior during the transition phase from initial disconnect to the final hang-off state. It is recommended to develop a fully- coupled integrated model for recoil analysis and anti-recoil control system design before extreme deep-water applications.

Hybrid Satellite-Aerial-Terrestrial Networks in Emergency Scenarios:A Survey

Natural disaster or large-scale unexpected events easily make the terrestrial network overloaded,paralyzed, or totally destroyed. It is highly demanded to build an emergency network which can be deployed rapidly, offer high data rate and wide coverage. The emergence of aerial platforms especially the low altitude platforms(LAPs) indicates a stable and reliable direction for the development of emergency network. Hybrid satellite-aerial-terrestrial(HSAT) networks have the ability to provide effective services rather than traditional infrastructures during the emergency situation. In this paper, the aerial platforms and the HSAT networks are surveyed and the key technologies are discussed from several aspects. The challenges of the HSAT networks are also outlined finally.

Current pre-hospital traumatic brain injury management in China

BACKGROUND: Traumatic brain injury(TBI) is associated with most trauma-related deaths. Secondary brain injury is the leading cause of in-hospital deaths after traumatic brain injury. By early prevention and slowing of the initial pathophysiological mechanism of secondary brain injury, prehospital service can signifi cantly reduce case-fatality rates of TBI. In China, the incidence of TBI is increasing and the proportion of severe TBI is much higher than that in other countries. The objective of this paper is to review the pre-hospital management of TBI in China.DATA SOURCES: A literature search was conducted in January 2014 using the China National Knowledge Infrastructure(CNKI). Articles on the assessment and treatment of TBI in pre-hospital settings practiced by Chinese doctors were identified. The information on the assessment and treatment of hypoxemia, hypotension, and brain herniation was extracted from the identifi ed articles.RESULTS: Of the 471 articles identified, 65 met the selection criteria. The existing literature indicated that current practices of pre-hospital TBI management in China were sub-optimal and varied considerably across different regions.CONCLUSION: Since pre-hospital care is the weakest part of Chinese emergency care, appropriate training programs on pre-hospital TBI management are urgently needed in China.

Overview of the Shenzhen Emergency Medical Service Call Pattern

BACKGROUND：In Shenzhen, the Emergency Medical Service （EMS） system has been in service since 1997. This study aims to examine the operation of Shenzhen 120 EMS center and to identify the reasons of calling EMS.BACKGROUND：In this retrospective quantitative descriptive study, the data from the Shenzhen 120 EMS registry in 2011 were analyzed.RESULTS：Shenzhen 120 EMS center is a communication command center. When the number of 120 are dialed, it is forwarded to the closest appropriate hospital for ambulance dispatch. In 2011, the Shenzhen 120 EMS center received 153 160 ambulance calls, with an average of 420 calls per day. Calling emergency services was mainly due to traffic accidents. Trauma and other acute diseases constituted a majority of ambulance transports. The adult patients aged 15-60 years are the principal users of EMS. There are no recognized ＇paramedic＇ doctors and nurses. The pre-hospital emergency service is under the operation of emergency departments of hospitals. Shenzhen at present does not have specialized pre-hospital training for doctors and nurses in posttrauma management. Moreover, specialized pre-hospital training, financial support, and public health education on proper use of EMS should be emphasized.CONCLUSION：The Shenzhen 120 EMS center has its own epidemiology characteristics. Traumatic injury and traffic accident are the main reasons for calling ambulance service. In-depth study emphasizing the distribution and characteristics of trauma patients is crucial to the future development of EMS.

Feasibility study of emergency intervention for vascular injury outside the hospital

Background: Minimally invasive surgery in the field of traumatic vascular injury diagnosis and treatment has achieved good results. This study was designed to determine whether pre-hospital emergency intervention is feasible for vascular injury in a field intervention cabin under the condition of war or a disaster site.Methods: Different types of animal experiments of vascular injury intervention were performed in a field intervention cabin. Treatment capacity was evaluated by data collection, including duration of surgery, clinical evaluation, image clarity, and equipment handling. Environmental adaptability and mobility were evaluated by maneuverability and long-distance mobility.Results: A total of 56 surgeries(7 types) were performed in the field intervention cabin. Digital subtraction angiography(DSA) had good imaging performance. A total of 4800 km of long-distance mobility was performed, and all the equipment operated normally without any equipment failure. We participated in the medical service maneuver twice. The cabin unfolded and worked properly. There was no equipment damage during the medical service maneuver.Conclusion: Use of a field intervention cabin under the conditions of war or disaster is feasible for pre-hospital emergency intervention of vascular injury.

Multimodal sentiment analysis for social media contents during public emergencies

Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis,lacking the combination of multimodal contents.In this paper,we propose to combine texts and images generated in the social media to perform sentiment analysis.Design/methodology/approach:We propose a Deep Multimodal Fusion Model(DMFM),which combines textual and visual sentiment analysis.We first train word2vec model on a large-scale public emergency corpus to obtain semantic-rich word vectors as the input of textual sentiment analysis.BiLSTM is employed to generate encoded textual embeddings.To fully excavate visual information from images,a modified pretrained VGG16-based sentiment analysis network is used with the best-performed fine-tuning strategy.A multimodal fusion method is implemented to fuse textual and visual embeddings completely,producing predicted labels.Findings:We performed extensive experiments on Weibo and Twitter public emergency datasets,to evaluate the performance of our proposed model.Experimental results demonstrate that the DMFM provides higher accuracy compared with baseline models.The introduction of images can boost the performance of sentiment analysis during public emergencies.Research limitations:In the future,we will test our model in a wider dataset.We will also consider a better way to learn the multimodal fusion information.Practical implications:We build an efficient multimodal sentiment analysis model for the social media contents during public emergencies.Originality/value:We consider the images posted by online users during public emergencies on social platforms.The proposed method can present a novel scope for sentiment analysis during public emergencies and provide the decision support for the government when formulating policies in public emergencies.

胸痛智能化平台的构建及在ST段抬高型心肌梗死患者中的应用

目的通过胸痛智能化平台的构建及应用,探讨其在急性ST段抬高型心肌梗死患者救治效率及临床预后的影响。方法由多学科成员组成胸痛智能化平台管理小组,将院前急救系统、医院电子病历系统、检验科信息系统、影像归档和通信系统融为一体,构建胸痛智能化平台并将其应用于急性ST段抬高型心肌梗死患者的救治与护理。选取2021年4月—2023年5月在深圳市某三级甲等医院急诊科就诊的急性ST段抬高型心肌梗死患者172例,以应用胸痛智能化平台前后分为对照组和试验组各86例,比较两组救治时间、效率及预后等指标的差异。结果应用胸痛智能化平台后,试验组发病至首次医疗接触时间、首次医疗接触至导丝通过时间、进医院大门至导丝通过时间、首次医疗接触至使用双联抗血小板治疗时间、入门至造影时间均显著低于对照组,差异具有统计学意义(均P<0.05)。试验组患者出院时的氨基末端B型脑钠肽前体水平显著低于对照组(P<0.05),但两组出院时左心室射血分数差异无统计学意义(P=0.828)。结论应用胸痛智能化平台可缩短急性ST段抬高型心肌梗死患者救治各环节的时间,提高救治效率,改善患者预后。

一种矿用本安型自组网基站设计

针对灾后矿井下通信链路中断,救援人员信息无法互通的问题,设计1种矿用本安型自组网基站;设备基于SDR平台,采用FPGA+ADIAD9361+本质安全电路的方案,利用无线Mesh网络技术的无线多跳、自组织和强自愈能力,在矿井下供电、通信系统都被摧毁的环境下,能够快速、方便地组建无线通信网络,同时为矿井下的手持终端、矿用布控球、矿用信息记录仪等终端设备提供无线覆盖,实现事故现场与前方指挥部的信息互通。测试结果表明:基站具有自备电源、安全系数高、体积小、质量轻、功耗小等优点,2.4 GHz和1.4 GHz双频段无线组网,多跳能力为视频6~8跳,单跳传输距离大于200 m,单跳传输时延小于7 ms,功耗小于15 W,可连续工作4.5 h,可解决矿山各种事故灾害应急救援过程中遇到的通信问题。

考虑及时交货和平台商誉的供应链动态决策研究——基于突发事件的视角

供应链在运营过程中不可避免会遭遇突发事件。文章针对发生时间具有随机性,且损害及时交货和平台商誉的突发事件对供应链成员的影响,构建由供应商、平台和零售商组成的三级供应链,探讨了非合作、成本分担和协同合作三种模式下的决策,利用动态微分博弈理论求解不同模式下各成员的最优策略。研究发现:供应商会根据及时交货水平损害率的高低决定突发事件发生后的交货策略,突发事件发生后平台的成本分担行为侧重于扩大市场需求和提升零售商的促销积极性,但对平台商誉水平的提升效果并不明显。协同合作模式下各均衡决策结果均为最优;与非合作模式相比,成本分担模式能够显著提升突发事件发生前后供应商及时交货水平、突发事件发生前平台商誉水平,并实现整体利润的提升。

多边平台模式应对突发公共卫生事件的治理效能评价--基于海南省案例的实证研究

以海南省的实证案例,探讨多边平台治理模式在突发公共卫生事件中的应用及其效能。借助因子分析和主成分分析,通过信息沟通效率、资源整合能力、协同行动能力和实际治理成果4个维度的指标评价体系,对海南省18个市县运用多边平台模式防控突发公共卫生事件的治理效能进行量化评价与排名。采用多元回归分析,选取社会参与度作为因变量,分析经济实力支持、社会动员支持、医疗救助支持、信息技术支持等多个公共因子的影响。研究显示,多边平台模式应对突发公共卫生事件的治理效能具有显著优势,能够增强信息共享,提高资源在公共领域的配置效率,实现社会治理的精细化和智能化,进而激发创新活力,提升公共服务水平。

基于窄带物联网的医院应急设备调配系统的设计与应用

为避免医院应急设备闲置导致的资产浪费,该研究设计了一套基于窄带物联网(NBIoT)的应急设备(呼吸机、除颤仪等)调配系统。系统可通过监控终端自动采集科室调用应急设备的用电信息,并将相关数据通过物联网云平台上传至阿里云数据库进行数据分析,进而判断设备的开关机时间和使用状态。其中,系统的关键硬件为监控终端,系统其他部分均为成熟的物联网产品,如物联网云平台、阿里云数据库等。监控终端的设计思路是单片机系统负责协调终端各个组件的工作,电流采集芯片检测设备用电信号,NBIoT无线模块负责通信。实际应用结果显示,系统有效提高了医院应急设备的利用率,避免了设备闲置,减轻了设备调配人员的工作压力,有效保证了应急设备调配工作正常、有效进行。

苏州院前急救模式的实践与思考

目的探索和完善苏州院前急救模式。方法比较苏州周边地市院前急救模式,基于苏州院前急救模式建设概况、初步成效、现存问题进行探讨。结果苏州院前急救模式建设成效明显,但仍存在接听能力不足、未实现电话定位、直属力量薄弱、信息互通不全等问题。结论院前急救“苏州模式”可从提升接听能力、实现电话定位、增强直属力量、强化大市质控入手,全面提升苏州市院前急救的服务能级和保障能力,探索“苏州模式”更优发展。

“院前急救+急诊+专病中心”一体化智慧急救信息管理系统设计与应用

目的在以大数据、人工智能、物联网、5G为代表的新一代信息技术高速发展和广泛应用的背景下,利用新的信息技术,某医院开展了医院“院前急救+急诊+专病中心”一体化智慧急救信息管理系统项目的建设和应用。方法本文主要介绍“院前急救+急诊+专病中心”一体化智慧急救信息管理系统项目建设情况,为实现“上车即入院”“急救无等待”的高效急诊急救救治新模式做出总结和探索。结果实现了一套全新的覆盖院前急救、预检分诊、院中救治、五大中心的集成系统,为优化救治流程,提高救治效率,为患者创造更好的医疗体验赋能。结论对新形势下的急诊急救信息平台优化和改进,并作出讨论。

新工科背景下管土作用创新实验教学平台设计

为推动深水复合柔性管道的设计和研究,依托重点科研项目成果,建立了管土作用创新实验教学平台。突出学生主体地位,通过文献调研、实验设计、实践操作和数值模拟,开展模块化实践教学,激发创新思维,塑造工程素养,促进对管土作用机理的探索与研究。创新实验教学平台的搭建,实现了理论实践、学科交叉及工程应用的有机结合,凸显了实验教学的工程性、实践性和探究性。

面向核电厂应急软件的低代码开发平台构建

核应急是核能事业持续健康发展的重要保障。目前从核应急业务需求、性能提升及新技术应用等方面,国内多个核电厂面临核应急业务相关软件更新维护、升级改造等困难。本文基于低代码理念构建的核应急软件开发平台,形成了面向核应急业务软件的基础框架组件、业务逻辑算法开发组件、任务开发组件、监控图开发组件、核应急GIS展示组件、基于深度学习的机组状态诊断及预测组件等,通过可视化组态、图形化组态,以拖拉拽、组态和配置等低代码方式快速实现核应急软件各个业务功能开发,缩短了电厂核应急管理软件的开发周期,提升了软件稳定性及更新维护水平,更好满足核电厂应急响应、监管指标改进等各项需求。

面向新工科建设的智能制造实践教学课程体系与平台建设

聚焦《中国制造2025》国家行动纲领,针对现阶段缺少制造业高层次、复合型、创新型人才这一亟待解决的问题,以东南大学现有智能制造课程体系为基础,以工业发展与培训中心为支撑,打造面向新工科建设的集认知性实践课程、基础性实践课程、综合性实践课程、创新研究性实践课程于一体的本硕博一体化智能制造实践教学平台和课程体系。在实践中形成了具有示范性和推广价值的智能制造领域人才培养新模式,有助于为相关产业输送适应性强的专业人才。