医用耗材精准管控体系构建

实现医用耗材精细化管理,关键是构建精准管控体系。分析了当前医用耗材在购入和溯源环节存在的缺陷,依托医用耗材来源、流通、使用等过程管理规范,开发出连通供应目录库、中心库、二级库的医用耗材精准管控体系,实现了计划、领用、计费、使用的全过程精准管控,达到供应渠道清晰、出入库业务规范、库存周转快速、收费准确、溯源到位的管理目标。     

基于家庭医护平台延续性护理模式的构建及应用

目的 基于家庭医护信息化管理平台（以下简称平台）,构建居家延续性护理模式,并评价其应用效果,以期提高出院患者居家护理质量。 方法 平台由监控平台和操作平台构成。操作平台包括：①患者端APP,包括服务项目页面和个人信息页面,支持用户注册、项目选择、项目预约和评价;②护士端APP,包括提供服务项目、服务申请显示、安全中心及个人信息页面,支持护士注册、接单和安全监控。监控平台负责用户管理、服务项目维护、数据管理及安全监控。利用平台实施出院后患者居家护理服务。调取2018年10月—2019年3月患者满意度和健康知识掌握率等数据,评价平台效果。结果 共231名护士、109例患者完成注册,进行居家护理164次,陪诊8次;接受延续性护理服务后,患者满意度为93.9%,明显高于出院时患者86.2%的满意度（χ ²=4.623,P=0.032）;接受延续性护理服务后,患者对健康知识掌握率为97.7%,明显高于住院患者87.6%的健康知识掌握率（χ ²=14.545,P<0.001）,无投诉和不良事件发生。 结论 家庭医护信息化管理平台可充分发挥临床护士的专业价值,为出院患者提供系统、规范、安全、优质的居家护理服务,明显提高了居家患者满意度和健康知识掌握率,为患者提供了高效、便捷的就医途径。     

物联网技术在日间手术管理中的应用

探索如何通过RFID、传感器等物联网技术提高日间手术的效率。方法分析我国日间手术信息化管理现状和问题,从人员管理、物资管理、药品管理及医疗健康管理4个方面探索物联网技术实现日间手术信息化管理的有效方法。结果设计了相关流程及系统架构,形成了基于物联网技术的日间手术管理流程及管理模式。结论物联网技术的应用是提高日间手术效率的有力支撑,基于物联网技术的日间手术管理模式是发展趋势。     

麻醉科疼痛“云病房”管理模式构建与实施

目的构建麻醉科疼痛“云病房”管理模式,提升麻醉科疼痛管理质量。方法参考文献,开展现状调查,明确问题,针对性改进。结果构建了麻醉科疼痛“云病房”管理模式,使患者术后疼痛发生率从14.10%降至2.63%,术后恶心呕吐发生率从10.19%降至6.49%,对镇痛效果满意率从85.31%提升至99.35%,对疼痛管理知识掌握率从82.38%提升至96.83%,效果良好。结论麻醉科疼痛“云病房”管理模式适用于麻醉手术部的术后疼痛管理,是一种有效的术后疼痛管理模式。但其在人员、设备、制度方面也存在一定问题,亟待在后续工作中加以改进。     

远程医疗信息服务平台模式研究

分析远程专家诊疗方式,对信息服务平台的体系结构、功能模块和基本业务流程进行了探讨。本信息服务平台的构建模式,能够与不同医院的PACS、HIS系统进行连接和信息传榆,解决了远程会诊中信息传输的难题。     

Simulation Platform: A cloud-based online simulation environment

For multi-scale and multi-modal neural modeling, it is needed to handle multiple neural models described at different levels seamlessly. Database technology will become more important for these studies, specifically for downloading and handling the neural models seamlessly and effortlessly. To date, conventional neuroinformatics databases have solely been designed to archive model files, but the databases should provide a chance for users to validate the models before downloading them. In this paper, we report our on-going project to develop a cloud-based web service for online simulation called “Simulation Platform”. Simulation Platform is a cloud of virtual machines running GNU/Linux. On a virtual machine, various software including developer tools such as compilers and libraries, popular neural simulators such as GENESIS, NEURON and NEST, and scientific software such as Gnuplot, R and Octave, are pre-installed. When a user posts a request, a virtual machine is assigned to the user, and the simulation starts on that machine. The user remotely accesses to the machine through a web browser and carries out the simulation, without the need to install any software but a web browser on the user’s own computer. Therefore, Simulation Platform is expected to eliminate impediments to handle multiple neural models that require multiple software.     

基于信息平台提升病案首页质量的实践

目的深入分析影响病案首页质量的因素,寻找提升病案首页质量的办法。方法利用信息技术手段优化整合已有医院信息系统,通过标准化信息、智能化控制和人性化操作的实践应用,提升病案质量。结果病案首页信息正确率从81.2%提升至96.2%。结论利用信息技术可有效提升病案首页质量。     

Cloud computing and trans-border health data: Unpacking U.S. and EU healthcare regulation and compliance

The emerging market of cloud computing poses many challenges for policy-makers, healthcare organizations and the IT industry, as health data and information is increasingly transferred across national or state borders where little consensus exists about which authorities have jurisdiction over the data. This review of U.S. and EU regulation and compliance of national and trans-border data flows, focuses on cloud computing in the health sector. As transatlantic regulatory frameworks are developed to keep pace with the fast-moving market of cloud computing, evidence suggests that cloud clients and providers need to work together to meet stringent compliance rules to avoid penalties and potential reputational damage. Traditional sourcing relationships where cloud providers act as ‘conduits’ for health data are being superseded by more stringent demands to become ‘business associates’ of their clients, with shared responsibilities and accountabilities for the protection and security of health data.     

基于中医临床科研信息一体化平台的艾滋病年长者四诊信息特点

目的：探讨艾滋病年长者（年龄≥50岁）中医四诊信息特点,研究其分布规律。方法：通过挖掘分析中医临床科研信息一体化平台中的艾滋病年长者病例资料,统计患者中医四诊信息分布。结果：共纳入分析1579例病例资料。患者中医症状出现频次超过10%者依次为乏力、食欲不振、食少、咳嗽、头晕、容易感冒、大便稀溏、四肢困重、发热与消瘦。主要症状涉及脏腑以“脾（胃）”最多见,“心”、“肺”及“肾”次之。患者舌质以舌淡红、舌淡白及舌质红为主,舌苔以白、薄、黄、腻、厚苔为主;脉象以细脉、沉和弱脉为主。结论：艾滋病年长者的中医四诊信息分布有一定特点,需进一步开展对比研究以明确其特征。