摘要：The current goal is to create a set of portable terminals with GPS/BD2 dual-mode satellite positioning, vital signs monitoring and wireless transmission functions. The terminal depends on an ARM processor to collect and combine data related to vital signs and GPS/BD2 location information, and sends the message to headquarters through the military CDMA network. It integrates multiple functions as a whole. The satellite positioning and wireless transmission capabilities are integrated into the motherboard, and the vital signs sensors used in the form of belts communicate with the board through Bluetooth. It can be adjusted according to the headquarters' instructions. This kind of device is of great practical significance for operations during disaster relief, search and rescue of the wounded in wartime, non-war military operations and other special circumstances.

摘要：Objectives To explore the challenges of secondary use of routinely collected data for analyzing nursing-sensitive outcomes in Austrian acute care *** A convergent parallel mixed methods design was *** conducted a quantitative representative survey with nursing managers from 32 Austrian general acute care hospitals and 11 qualitative semi-structured interviews with nursing quality management *** results were first analyzed independently and afterward merged in the *** On average,76%of nursing documentation is already electronically supported in the surveyed Austrian ***,existing nursing data is seldom used for secondary purposes such as nursing-sensitive outcome *** is due to four major reasons:First,hospitals often do not have a data strategy for the secondary use of routine ***,hospitals partly lack the use of standardized and uniform nursing terminologies,especially for nursing ***,routine nursing data is often not documented correctly and ***,data on nursing-sensitive outcomes is usually collected in specific documentation forms not integrated into routine *** The awareness of the possibilities for secondary use of nursing data for nursing-sensitive outcome analyses in Austrian hospitals is still in its ***,nursing staff and nursing management must be trained to understand how to collect and process nursing data for nursing-sensitive outcome *** studies would be interesting in order to determine the factors that influence the decision-making processes for the secondary use of nursing data for outcome analyses.

摘要：现代化、高效的医疗保健体系不仅应该防止患者因可治疗的原因过早死亡，改善慢性疾病患者的生活质量，帮助急症患者康复，保证治疗的安全性，同时，还应该尽可能为患者提供良好的医疗照护，因此周末医疗照护减少会对以上各方面产生负面影响。不过，整周的服务组织与额外病死率之间的关系很难通过随机对照试验进行研究，所以医疗服务设计是基于观察得到的证据。

摘要：Objective A classification and diagnosis model for psoriasis based on deep residual network is proposed in this *** using deep learning technology to classify and diagnose psoriasis can help reduce the burden of doctors,simplify the diagnosis and treatment process,and improve the quality of *** Firstly,data enhancement,image resizings,and TFRecord coding are used to preprocess the input of the model,and then a 34-layer deep residual network(ResNet-34)is constructed to extract the characteristics of ***,we used the Adam algorithm as the optimizer to train ResNet-34,used cross-entropy as the loss function of ResNet-34 in this study to measure the accuracy of the model,and obtained an optimized ResNet-34 model for psoriasis *** The experimental results based on k-fold cross validation show that the proposed model is superior to other diagnostic methods in terms of recall rate,F1-score and ROC *** The ResNet-34 model can achieve accurate diagnosis of psoriasis,and provide technical support for data analysis and intelligent diagnosis and treatment of psoriasis.

摘要：Background： Despite the rapid growth in the incidence of acute myocardial infarction （AMI） in China, there is limited information about patients＇ experiences after AMI hospitalization, especially on long-tern1 adverse events and patient-reported outcomes （PROs）. Methods： The China Patient-centered Evaluative Assessment of Cardiac Events （PEACE）-Prospective AMI Study will enroll 4000 consecutive AM I patients from 53 diverse hospitals across China and follow them longitudinally for 12 months to docunlent their treatment, recovery, and outcomes. Details of patients＇ medical history, treatment, and in-hospital outcomes are abstracted from medical charts. Comprehensive baseline interviews are being conducted to characterize patient demographics, risk factors, presentation, and healthcare utilization. As part of these interviews, validated instruments are administered to measure PROs, including quality of life, symptoms, mood, cognition, and sexual activity. Follow-up interviews, measuring PROs, medication adherence, risk factor control, and collecting hospitalization events are conducted at 1, 6, and 12 months after discharge. Supporting documents for potential outcomes are collected for adjudication by clinicians at the National Coordinating Center. Blood and urine samples are also obtained at baseline, 1 - and 12-month follow-up. In addition, we are conducting a survey of participating hospitals to characterize their organizational characteristics. Conclusion： The China PEACE-Prospective AMI study will be uniquely positioned to generate new information regarding patient＇s experiences and outcomes alter AMI in China and seiwe as a foundation for quality improveinent activities.

摘要：背景：癌症患儿存活改善与多种治疗相关并发症相伴。然而，绝大多数有关癌症儿童生存率的研究仅局限于单一的远期效应。目的：在一个有完整的长期随访资料的大型儿童癌症生存队列中对癌症长期存活的不良预后（临床或亚临床病症）的总负荷进行评估。设计、地点及人群：于1362例已生存5年的儿童癌症患者中进行回顾性队列研究。患儿1966至1996年在荷兰一家医疗机构接受治疗。所有生存者均被邀请到晚期效应诊所进行不良事件医学评估。2004年1月以前发生的不良事件依据标准方式进行严重度分级。主要观测指标：随访结束时治疗别不良事件（依据严重性）的发生率以及各种治疗相关疾病高度或严重负荷（危险度92或危及生命或致残的不良事件≥1个）的相对危险度。结果：94．3％的生存者完成了随访（中位随访时间17年）。随访结束时中位年龄为24、4岁。大约75％的生存者有1个或更多不良事件，24．6％发生5个或以上不良事件。而且，40％的生存者至少有1个严重、危及生命或致残的不良事件。在接受单纯放疗的生存者中，55％的患者观察到高度或严重不良事件负荷。接受单纯化疗的生存者发生率为15％，而单纯手术治疗的存活者相应发生率则为25％（校正后相对危险分别为2．18[95％可信区间，1．62—2．95]和0．65[95％可信区间，0．46—0．90]）。不良事件高度或严重负荷最常见于骨肿瘤生存者（64％），较少见于白血病或Wilms瘤生存者（12％）。结论：在成年时，很大一部分儿童癌症生存者都存在高度或严重疾病负荷，尤其是在放疗后。这强调了对儿童癌症生存者根据危险分层进行终生医学监视的必要性。

摘要：机器学习(ML)、人工智能(AI)和其他现代统计方法正为利用先前尚未开发且极速增长的数据资源提供新的机会,以期让患者获益。尽管目前正在进行许多有前景的研究,特别是在图像方面,但就文献整体而言还缺乏透明度、对可重复性清晰的阐述、对潜在伦理问题的探究,以及对有效性的明确验证。这些问题的存在有许多原因,其中最重要的一点(为此我们提供了初步解决方案)就是当前缺乏针对ML和AI的最佳实践指南。我们认为从事研究的跨学科团队和应用ML/AI影响健康的项目,将因解决有关透明度、可重复性、伦理和有效性(TREE)的一系列问题而受益。这里提出的20个关键问题为研究团队提供了一个研究设计、实施和报告框架;帮助编辑和同行评审专家评估文献的贡献;让患者、临床医生和政策制定者评估新发现可能会给患者带来的获益。