国内问诊类移动医疗APP软件功能分析与评价

对目前国内常见的问诊类移动医疗APP软件进行了分类,并基于用户应用体验分析评价了不同类别的问诊类移动医疗APP的功能,对问诊类移动医疗APP的开发应用前景进行了展望。     

HTML5在移动学习和移动医疗中的应用探讨

随着无线网络逐步向宽带化发展,移动终端接入互联网的数量激增,人们使用互联网的方式悄然改变。通过埘HTML5相关概念和新特性的阐述,以国外成功应用案例及我院移动医护工作站的应用实例,从多个方面详细描述了HTML5为移动学习、移动医疗等信息技术领域带来的新的技术变革与机遇。最后,通过对移动学习、移动医疗技术应用的发展方向展望,指出了移动学习、移动医疗设计者与开发者日后面临的新机遇与挑战。     

构建医嘱闭环管理之移动医疗工具选型研究

目的：解决医院推行移动医疗选择床旁移动工具的困惑,为医院进行床旁设备选型时提供参考依据。方法：对目前临床使用的主流产品手持设备PDA与移动推车进行了临床应用调查,并对使用范围、功能及利用率作了结果分析。结果：移动车的使用比例明显高于手持设备。而在床旁医嘱条码执行项目,更多的护士选择手持设备。PDA与移动推车在应用范围上各有所长。结论：移动车的优势明显。联合使用PDA与移动推车,取长补短,使临床应用效果达到最大化。构建闭环管理模式,降低医疗差错,提高临床医护质量。     

医护通服务平台设计与实现

以移动平板电脑为载体设计并实现移动医疗医护通服务平台,介绍系统设计目标、技术框架、需求、数据流、具体功能等方面,指出其应用有助于提高医生和护士工作效率,改善患者住院体验。     

北京市医院移动医疗实施现状及改进措施

近年来,伴随“互联网+”医疗诞生的移动医疗得到国家政策的大力扶持。调研了北京地区医院移动医疗实施现状,针对目前北京市医院移动医疗存在的问题提出了改进措施,为移动医疗在各大医院的进一步发展与应用提供参考。     

移动医疗技术的研究与应用

概要介绍了移动医疗技术和相关信息系统在医院的应用情况,详细阐述了基于iPad的移动医护工作站系统的整体架构、关键功能与技术,探讨了构建移动医疗系统所面临的几个技术难点,给出了应用移动医疗技术的意义。     

我国儿科移动医疗应用程序功能分析及展望

目的：分析国内现有儿科移动医疗应用程序功能。方法：国内儿科移动医疗应用程序的功能进行比较分析。结果：大多数儿科移动医疗APP依托于各级儿科医疗 保健机构,以预约挂号功能为主,用于提高各机构诊疗效率和服务质量,然而症状监测、疾病随访等功能开展不足。结论：目前国内儿科移动医疗APP产品较多,但功能开发不足,可信度有待提高,应注重对APP内容的监管,促进互联网移动医疗健康发展。     

基于智能手机的医院移动应用探讨和实践

首先对现代移动医疗的发展和医院信息化功能的转变进行关联分析,然后根据浙江大学医学院附属第一医院“掌上浙一,,手机应用的功能实现与推行实施,总结了一种基于智能手机的医院移动应用的模式框架,对手机医疗实现的功能进行了详细描述,对涉及的关键技术进行阐述,分析了发展移动医疗的阻力和挑战。     

移动医疗技术对临床服务的拓展和细化

目的：应用移动医疗技术拓展和细化临床医疗服务。方法：采用无线WiFi、RFID、ZigBee等技术,借助移动医疗在医疗质量闭环管理中的优势,构建移动医疗服务的新模式。结果：通过移动医疗技术拓展了信息化管理的范围,细化了临床服务的内容,实现了医疗质量闭环管理和临床服务多个方面的具体应用。结论：移动医疗技术对医院信息化起到了重要的拓展和细化作用。     

面向中小型医院的移动医疗信息系统构建

阐述制约移动医疗信息系统在中小型医院发展的因素,总结在中小型医院建设移动医疗信息系统的策略,分析安卓系统作为医疗信息系统开发平台的优点,在此基础上设计一个适合中小型医院的移动医疗信息系统的模型,详细介绍系统设计原则、结构、为客户端提供服务的方式等方面。     

Pediatric Patient and Caregiver Preferences in the Development of a Mobile Health Application for Management of Surgical Colorectal Conditions

Patient-centered frameworks are an effective way to engage patients in treatment plans, strengthen adherence behaviors, and improve disease outcomes. These frameworks can also be applied in the design of mobile technology disease management applications. However, the utilization of these frameworks is rare and frequently overlooked in existing colorectal mobile health (mHealth) applications. The purpose of this study was to utilize a patient-centered framework to facilitate the development of a valid, appropriate, and feasible mHealth tool for pediatric patients and their caregivers. To inform application design and production, in-depth interviews were conducted with pediatric patients and their caregivers to capture management experiences, application preferences, and barriers and facilitators to application use. Patient ages ranged from 3 to 16. Six caregivers and 2 adolescent patients participated in the interviews. Patients and caregivers reported various management styles and desired an application that is not only user-friendly and customizable, but also able to facilitate communication and information sharing with other patients, caregivers, and providers. Older patients also wanted the application to give them more independence in managing their disease. Employing patient-centered frameworks is context-specific, but holds much promise at the intersection of mobile technology and healthcare. By incorporating pediatric patient experiences and viewpoints, we identified important components for inclusion in a mHealth surgical colorectal disease management application. Patients and caregivers wanted a mHealth application that was unique to their needs and easy to use. They suggested that the application include treatment tracking, note taking, and provider communication features.     

医院移动医疗应用模式研究与实践

首先对目前移动医疗的应用及发展现状进行分析,然后针对武汉市中心医院"智慧医疗"示范工程中移动医疗及应用的实际做法,总结了一种移动医疗应用的模式框架,对移动医疗所实现的业务应用进行了详细描述,并对此框架下涉及的关键技术进行分析.     

移动医疗应用中的信息风险分析

对移动医疗应用引发的风险进行了分析,根据风险管理原理及移动医疗应用本身的因素进行研究,提出其风险主要为管理风险与技术风险,并对相关的技术风险进行说明。     

Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors

This study aimed to assess user satisfaction with mobile health (mHealth) application in breast cancer survivors after a 12-week exercise program and provide developers with reference points for mHealth applications from the perspective of patients and physicians. This is a retrospective review of prospectively collected multicenter data of 88 breast cancer survivors who carried out a 12-week exercise program via smartphone application with pedometer. Personalized programs including aerobic and resistance exercise were prescribed by physiatrists. Also, telephone counseling was performed at the 3rd and 9th week. All patients completed the user satisfaction questionnaire at the end of the intervention. The mean achievement rates of aerobic and resistance exercise for 12 weeks were 78.8 and 71.3%, respectively. The mean score of overall satisfaction rated on the 5-point Likert scale was 4.22?±?0.73. When the patients were grouped according to age, the overall satisfaction score increased significantly with age (P?=?0.040). Also, the satisfaction scores of patients with radiotherapy were significantly higher than patients without radiotherapy (P?=?0.001). In terms of system characteristics, the most satisfying was data transmission accuracy (4.32?±?0.74). In addition, patients were very satisfied with telephone counseling (4.55?±?0.62). The results suggest the direction of mHealth should go to meet the detailed requirements of the specific user group as a more targeted approach. In addition, if a mutual feedback platform can be implanted in mHealth applications, it will increase user loyalty and make mHealth a more available motivational technology in our lives.     

移动健康应用程序的应用现况与展望

本文讨论了面向消费者的移动健康应用程序（mHealth APP）的现状、发展障碍以及发展方向。目前主要的应用商店中有超过16.5万个mHealth APP,居排名前2位的为健康管理、疾病管理APP,其他类别包括自我诊断、药物提醒、患者电子门户、康复管理APP。这些APP在全球范围内为终端用户提供了低成本、高质量、全天候访问的健康信息。然而,由于缺乏监管监督、相关循证资料不足以及对隐私和安全性的担忧,mHealth APP还有很多地方需要完善。未来的发展方向可能包括：将数据集成到卫生保健系统,可互操作的应用程序平台,允许访问电子健康档案并记录数据,基于云的个人健康记录,以及由医务人员提供APP处方。为了使mHealth APP充分发挥医疗保健和慢病管理的价值,从业的所有利益攸关方必须协作克服相关障碍。     

Analyzing security issues of android mobile health and medical applications

ObjectiveWe conduct a first large-scale analysis of mobile health (mHealth) apps available on Google Play with the goal of providing a comprehensive view of mHealth apps’ security features and gauging the associated risks for mHealth users and their data.Materials and MethodsWe designed an app collection platform that discovered and downloaded more than 20 000 mHealth apps from the Medical and Health & Fitness categories on Google Play. We performed a suite of app code and traffic measurements to highlight a range of app security flaws: certificate security, sensitive or unnecessary permission requests, malware presence, communication security, and security-related concerns raised in user reviews.ResultsCompared to baseline non-mHealth apps, mHealth apps generally adopt more reliable signing mechanisms and request fewer dangerous permissions. However, significant fractions of mHealth apps expose users to serious security risks. Specifically, 1.8% of mHealth apps package suspicious codes (eg, trojans), 45.0% rely on unencrypted communication, and as much as 23.0% of personal data (eg, location information and passwords) is sent on unsecured traffic. An analysis of the app reviews reveals that mHealth app users are largely unaware of the surfaced security issues.ConclusionDespite being better aligned with security best practices than non-mHealth apps, mHealth apps are still far from ensuring robust security guarantees. App users, clinicians, technology developers, and policy makers alike should be cognizant of the uncovered security issues and weigh them carefully against the benefits of mHealth apps.     

mHealth interventions for weight loss: a guide for achieving treatment fidelity

mHealth interventions have shown promise for helping people sustain healthy behaviors such as weight loss. However, few have assessed treatment fidelity, that is, the accurate delivery, receipt, and enactment of the intervention. Treatment fidelity is critical because the valid interpretation and translation of intervention studies depend on treatment fidelity assessments. We describe strategies used to assess treatment fidelity in mobile health (mHealth) interventions aimed at sustaining healthy behaviors in weight loss. We reviewed treatment fidelity recommendations for mHealth-based behavioral interventions and described how these recommendations were applied in three recent weight loss studies. We illustrate how treatment fidelity can be supported during study design, training of providers, treatment delivery, receipt of treatment, and enactment of treatment skills. Pre-planned strategies to ensure the treatment fidelity of mHealth interventions will help counter doubts concerning valid conclusions about their effectiveness and allow investigators and clinicians to implement robustly efficacious mobile health programs.

Trial registration number

1F31 NR012599.     

Mobile health technology to improve maternal health awareness in tribal populations: mobile for mothers

Mobile health (mHealth) applications have the potential to improve health awareness. This study reports a quasi-controlled intervention to augment maternal health awareness among tribal pregnant mothers through the mHealth application. Households from 2 independent villages with similar socio-demographics in tribal regions of India were selected as intervention (Village A) and control group (Village B). The control group received government mandated programs through traditional means (orally), whereas the intervention group received the same education through mHealth utilization. Postintervention, awareness about tetanus injections and consumption of iron tablets was significantly (P < .001) improved in the intervention group by 55% and 58%, respectively. Awareness about hygiene significantly (P < .001) increased by 57.1%. In addition, mothers in the intervention group who recognized vaginal bleeding, severe abdominal pain, severe blurring of vision, or convulsions as danger signs during pregnancy significantly (P < .001) increased by 18.30%, 23.2%, 20.0%, and 4.90%, respectively. Our study indicates that despite the low literacy of users, mHealth intervention can improve maternal health awareness among tribal communities.     

Bigdata Oriented Multimedia Mobile Health Applications

In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user experience in the hyperbaric oxygen chamber by 3D stereoscopic virtual reality glasses and immersive perception. Several HMDs have been tested and compared. The second application is a voice interactive serious game as a likely solution for providing assistive rehabilitation tool for therapists. The recorder of the voice of patients could be analysed to evaluate the long-time rehabilitation results and further to predict the rehabilitation process.     

Body Area Networks for Ubiquitous Healthcare Applications: Opportunities and Challenges

Body Area Networks integrated into mHealth systems are becoming a mature technology with unprecedented opportunities for personalized health monitoring and management. Potential applications include early detection of abnormal conditions, supervised rehabilitation, and wellness management. Such integrated mHealth systems can provide patients with increased confidence and a better quality of life, and promote healthy behavior and health awareness. Automatic integration of collected information and user’s inputs into research databases can provide medical community with opportunity to search for personalized trends and group patterns, allowing insights into disease evolution, the rehabilitation process, and the effects of drug therapy. A new generation of personalized monitoring systems will allow users to customize their systems and user interfaces and to interact with their social networks. With emergence of first commercial body area network systems, a number of system design issues are still to be resolved, such as seamless integration of information and ad-hoc interaction with ambient sensors and other networks, to enable their wider acceptance. In this paper we present state of technology, discuss promising new trends, opportunities and challenges of body area networks for ubiquitous health monitoring applications.