OBJECTIVE:In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based on radiomics and machine learning technology was designed and constructed.METHODS:Five aspects including data acquisition, data management, data analysis, modeling and data management were considered. This platform provides comprehensive functions such as data retrieve and data annotation, image feature extraction and dimension reduction, machine learning model running, results validation, visual analysis and automatic generation of analysis reports, thus an integrated solution for the whole process of radiomics analysis has been generated.RESULTS:Clinical researchers can use this platform for the whole process of radiomics and machine learning analysis for medical images, and quickly produce research results.CONCLUSIONS:This platform greatly shortens the time for medical image analysis research, decreasing the work difficulty of clinical researchers, as well as significantly promoting their working efficiency.

基于"物联网+"服务模式优化新生儿病房母乳喂养闭环管理流程,应用5G网络、RFID、二维码、温度传感等技术打通新生儿家庭泵乳、储藏、运送等院外母乳闭环管理节点,为新生儿家庭提供全面的母乳喂养管理信息,同时也降低了母乳污染的风险.该系统实现新生儿母乳喂养全生命周期的可追溯管理,真正意义上形成了母乳全生命周期内各执行环节上的闭环链路,改善了患者的体验,提高了患者的满意度,同时该系统的应用为新生儿无陪病房的母乳喂养提供了新的管理思路.

目的:设计并实现一款支持多项目集中预约的多渠道医院综合检查预约智能管理系统,以节省患者就医成本和时间,提高检查预约效率.方法:基于.Net框架,采用面向浏览器的浏览器与服务器(B/S)架构模式,设计并实现多渠道综合检查预约智能管理系统.系统客户端使用Winform程序,服务端使用Webservice接口与医院信息系统(HIS)、医学影像系统(PACS)等业务系统进行交互.结果:多渠道医院综合检查预约智能管理系统支持多种检查项目不同模式的排班需求,临床科室和预约中心可利用系统方便快速地为患者预约号源,2021年预约数量达89万人次,智慧预约率持续保持97％以上,年平均预约取消率低于8％.结论:多渠道综合医院检查预约智能管理系统能够有效缩短患者预约流程,提升预约号源利用率,提高检查预约效率.

随着城市大脑跨部门协同的"超级应用"层出不穷,与城市大脑高效对接日渐成为医疗机构数据管理部门需要认真思考的课题.本文探索建立一套新的医疗数据治理体系,在保障数据安全的前提下实现与城市大脑无缝对接.通过对医疗机构和院外数据进行归集,并按照城市大脑五层数据模型进行治理,形成数据中心.研究结果显示,经过治理的医疗数据平台包含了医疗机构、学校、教育局、社发局等多家单位,有效实现了多跨协同.由此,基于城市大脑数据模型的数据治理体系为医疗机构提供了一种新的数据治理方式,为跨部门数据协同开发奠定了坚实的基础.

目的:为了解决某三甲儿童医院急诊科分诊缺少系统支撑,精细化管理缺少数据支撑的现状.方法:结合急诊分诊指南以及院内临床专家经验设定了儿科分诊分级标准,构建了信息系统.结果:通过统计2019年2月1日至8月31日,并对比2018年同期数据发现:分诊平均耗时为49 s;患者急诊滞留平均时间缩短了65 min;降低了急诊抢救室患者死亡率0.02％;患儿年龄段主要集中在7个月至6岁,其中肺炎、抽搐待查及发热待查是最为常见的就诊原因;每日的12—13点为就诊高峰期.结论:智能分诊系统的应用,提高了急诊的服务质量以及患者满意度;同时通过分诊数据的支撑分析,有利于合理安排医疗资源.

目的 了解我国门诊药房自动化发药系统的使用现状和效果,为智慧药房的建设和发展提供参考.方法 以“自动化发药系统”“自动发药机”以及“使用”“效果评价”等为关键词,检索中国生物医学文献数据库、CNKI、VIP和万方数据库,按照纳入和排除标准,使用PRISMA流程图筛选符合标准的文献,并提取研究数据.结果 共检索到文献1 372篇,经筛选获有效文献196篇;有120家医院至少1位作者介绍了本单位的门诊自动发药系统的建设(装机量121套),或进行了使用效果评价.装机量前3位的品牌为韦乐海茨(Willach Heise)、艾隆(Iron)和欧蜗(Rowa),分别占总量的28.1％,22.3％,9.9％.设备使用可实现40％～70％的整处方自动化发放率,与传统人工模式相比,处方配发效率提高30.0％～50.0％,调配差错率下降32.0％～66.0％,劳动强度下降18.4％～65.5％,明显缩短患者取药时间,优化门诊工作流程,提高满意度;但同时也存在机器故障多,运行不稳定,投入成本大的缺点.结论 门诊自动化发药系统发展迅速,相对传统发药模式有较为明显的优势,但也存在诸多不足.如何优化机器质量控制能力,减少故障发生率,发挥设备的最大优势,还需要不断摸索和持续改进.

目的:自新型冠状病毒肺炎爆发以来,医院患者治疗和防疫物资供应等都面临了很大压力.方法:信息中心从如何利用信息化技术支撑,降低院内交叉感染的发生、有效调配防疫物资、减轻医护人员的工作压力等方面进行了思考.结果:应用信息化辅助分诊、电子陪护证、MDT等信息技术来减少感控风险,改造二级库程序以及时有效管理防疫物资,利用CDSS、AI随访等信息技术来减轻医护人员工作压力.结论:医院有序的感控管理、清晰的物资保障、大幅降低的医护随访介入证明信息化的支撑是行之有效的.

目的 构建儿科门诊静脉血管分级与护士能级匹配系统,为患儿自动精确匹配最佳穿刺护士,提高静脉穿刺成功率.方法 建立患儿血管分级及护士穿刺能级标准,并构建血管分级与护士能级匹配系统,包括血管分级数据模块、护士穿刺能级数据模块及输液室决策支持模块,通过儿科门诊输液护理管理信息系统和HIS系统进行数据对接和传输,系统自动生成每例患儿的推荐穿刺护士.统计并比较系统应用前后护士每班平均穿刺例次、人均一次穿刺成功率、静脉穿刺相关护理投诉、护士满意度和患儿及家长对护理工作满意度.结果 应用后护士日均每班穿刺例数、人均一次穿刺成功率显著高于应用前(P＜0.05,P＜0.01),患儿家长对护理工作满意度及护士工作满意度均提高.结论 儿科门诊静脉血管分级与护士能级匹配系统的建立,能提高静脉一次穿刺成功率,改善外周静脉管理质量,并最终提高护患双方的满意度.

随着"互联网+医疗"的不断深入,医院移动支付和自助机结算比例超过了传统窗口结算.我们构建了一套电子票据系统,并通过它使医院信息系统与财政平台互联互通.患者在线上支付就诊费用时,生成财政电子票据,提供下载或自助打印.解决了移动支付后的发票仍需窗口补打流程,同时实现财政票据的有效管理,使医院收入得到有效监管.

目的 医院的感染管理涉及各个医疗环节,构建一套实时高效的院感监控系统尤为重要.方法 我院搭建了基于集成平台的新院感实时监控系统,通过平台获取各个业务系统数据,对全院病例做到实时监测.结果 系统实现了于医院感染控制的提前预警,提前干预,对各项重点指标及科室做到实时目标监测,自动生成各类统计报表.结论 全面提高了医院感染管理的监测效率和管控效率.

根据国家卫健委提出的国家电子病历系统应用水平评级标准,本研究对医院进行信息化改造建设.首先,我们搭建了主数据管理平台,对主索引以及主数据进行了规范化管理维护.然后针对历史问题,对患者主索引、职工主索引以及主数据的维护流程进行了改造建设.本研究为后续的集成平台、数据中心建设提供基础数据保障,保证数据统一性.

目的 建立儿童医院门诊签到制就诊系统,并评价其在门诊临床中的应用效果.方法 选取2018年6月11日至2018年6月13日来我院"名医馆"诊区就诊的1917例患者为研究对象,比较患者挂号单或手机通知单上的建议就诊时间+3 min(t1)和患者签到时间(t2).t1<t2时,说明患者就诊迟到,查看迟到不同时间段的占比率.结果 研究结果显示t1<t2共有449例,其中t2-t1在1～30 min有239例;t2-t1在30～60 min有101例;t2-t1在60～90 min有58例;t2-t1在90 min以上有51例.结论 门诊签到制就诊系统实施后,未签到的患者,医生呼叫器端不予显示,医生呼叫直接跳到下一个已签到患者,门诊医生叫空率下降20％以上.诊区护士省去给迟到患者刷卡排入呼号队列的过程,工作量减少,医生、护士有更多的时间服务于问诊患者,提升了门诊患者的护理质量及护理满意度、医生满意度、患者就诊满意度.

On the basis of the existing appointment process, artificial intelligence and Internet of things technologies were introduced to optimize such process. Thanks to the all appointment process management empowered by AI and IoT, patient waiting time is cut short and patient satisfaction enhanced as a result.

为了促进优质医疗资源共享和医疗服务均等化,有效加强基层医疗机构服务能力,提高疑难重症救治水平,依托于互联网和儿科医联体,建立了远程医疗信息化平台,通过整合资源与优势互补,达到儿科医疗资源利用的最大化和居民就诊的合理分流的效果.

Objective The optimizing process and effects of outpatient medical information platform were introduced in this paper. Methods The process of hospital smart medical system, including reducing patient waiting time, enhancing the fault-tolerant mechanism of smart medical treatment, optimizing translation error prompt and system self-recovery was improved to enhance the interoperability between patient and machines, which made patients more willing to use the hospital smart medical platform. Results The date of hospital smart medical platform and artificial windows at the beginning of and the end of 2016 were analyzed, statistics showed that there was a significant increase in the proportion of patients using hospital wisdom. Conclusion In view of the outpatient wisdom medical service in our hospital, we also need to increase the guidance of professional staff and increase the use of publicity in the aspect of intelligent medical system. It needs to be further improved in the aspects of equipment maintenance and system stability, funds reconciliation, real-name system and so on.

随着临床输血管理方面法律法规的完善,人们的法制意识也在逐渐得到加强,目前医院的输血管理基本上实现了合理、安全和有效输血.为了更好地对临床输血实施全面系统的管理,有必要进行输血的全面信息化管理,从输血的申请、输血信息的登记以及血液入库到血液发放等整个规范的输血过程,都应该实行信息化电子管理.本文从医院输血全面信息化改进这一角度切入,探讨每一个输血管理环节的信息化管理改进.

At present, there is no systematic methods and tools for follow-up visits to pediatric patients on the situation of the rapidly increase of pediatric tumor. A set of pediatric follow-up platform which adapted to clinical use was constructed by collecting, arranging and analyzing the tumor patients follow-up data systematically and normatively. The pediatric tumor follow-up platform was designed according to the actual work of the hospital requirements, using Microsoft Visual Studio as a development tool, As the database management tools, Microsoft SQL Server 2008 was designed based on C/S mode, through the TCP/IP protocol communications, Microsoft SQL Server ADO database access. It is helpful to improve the level of tumor diagnosis and treatment and the efficiency of scientific research by using the platform to regulate the follow-up of tumor patients.

To collect the information of pre-pregnancy-pregnant-postpartum cases of children with congenital heart disease in Zhejiang Province and to form a strategy for rapid referral treatment.At the same time,take the tertiary medical institutions as main body,through the regional network platform to work together and web services for technical support,complete the design of platform and its information construction based on pediatric congenital heart disease network referral.It accelerates the construction and layout of the network collaboration unit of congenital heart disease in Zhejiang Province,promotes the innovation and development of congenital heart disease treatment plan,reduces the birth defects rate of infants and young children,and promotes the prevention and treatment of congenital heart disease.

Objective To develop a network platform by using the data network transmission technology for rapid referral of children with congenital heart disease (CHD), and to develop a new one-stop strategy and model for prenatal and postnatal treatment in accordance with the current practice of pediatric CHD. Methods Through network connection of regional platform and data analysis, we construct a platform to achieve data sharing form effective treatment program. Results The network referral platform of pediatric CHD in Zhejiang province was developed. The effective referral network and mechanism of pediatric CHD was established. Conclusion The platform is effective for early prevention, detection and treatment of CHD, which can decrease incidence of pediatric CHD and reduce fatality rate.

Objective: The prevalence of neonatal disease screening using tandem mass spectrometry has been popular in China, while the traditional paper blood film is full of disadvantages which call for improving. Method: We put ’Internet of Things’ into the blood smear to create a new kind of blood smear. Results: With the help of mobile Internet technology to optimize the blood smear circulation, traditional problems that mentioned prviously are solved. Conclusion: The extensive use of new blood smear and its system will be of great help in reducing the total cost of screening in society.