背景:数字公共卫生和智慧城市的未来是交织在一起的。市民和宠物在城市环境中的状况对于管理城市化挑战和数字化转型至关重要。人类和动物的间和间连接发生在一个动态的空间。在这种环境下,每个人都可以在社交媒体上分享感受和新闻,并通过传感器或多媒体通道被动或主动报告任何时间发生的事件,分别。一个数字健康(ODH)提出了一个收集的框架,管理,分析数据,支持健康导向政策的制定和实施。事故和紧急信息学提供了识别和管理加班危险和破坏性事件的工具,他们的受害者和抵押品。
目的:我们的目的是展示ODH框架,通过实施动态的观点,支持在基于技术环境的城市中分析涉及人类和动物的用例,即,智能环境。
方法:我们描述了一个数字健康干预的示例,其中事故和紧急信息学机制在后台运行。一个数字健康干预是一组设计和部署的数字功能的实施,以(1)支持解决人类、动物,和环境系统的需求和挑战;(2)评估和研究这些系统的结果和影响,并收集相关数据;(3)及时选择多准则决策分析结果的指标。此示例干预基于两个角色的每日旅程:Tracy(人类)和Mego(Tracy的狗)。他们住在大都市,他们的活动通过物联网传感器进行监控和分析,设备,以及预防和管理任何与健康相关的异常的工具。
结果:我们构建了一个ODH干预汇总表的示例,显示了作为ODH干预的一部分的“如何”分析日常生活活动的示例。对于每个活动,对其与ODH维度的关系进行评分,并根据FAIR(Findable,可访问,互操作,可重复使用)原理棱镜。
结论:展示的ODH干预的示例提供了在FAIR中构建基于现实世界数据的研究的基础(可发现,可访问,互操作,可重用)上下文,以改善持续的健康监测政策和系统,加强应急管理。一个数字健康框架提供医疗和环境信息,决策者,和公民有工具来改善他们的日常行为。额外的,整合事故和紧急信息层使他们能够更好地阐述他们的准备和应对潜在的急性健康相关事件。整个数据管理周期也必须以公平的方式进行处理。
Smart cities and digital public health are closely related. Managing digital transformation in urbanization and living spaces is challenging. It is critical to prioritize the emotional and physical health and well-being of humans and their animals in the dynamic and ever-changing environment they share. Human-animal bonds are continuous as they live together or share urban spaces and have a mutual impact on each other\'s health as well as the surrounding environment. In addition, sensors embedded in the Internet of Things are everywhere in smart cities. They monitor events and provide appropriate responses. In this regard, accident and emergency informatics (A&EI) offers tools to identify and manage overtime hazards and disruptive events. Such manifold focuses fit with One Digital Health (ODH), which aims to transform health ecosystems with digital technology by proposing a comprehensive framework to manage data and support health-oriented policies. We showed and discussed how, by developing the concept of ODH intervention, the ODH framework can support the comprehensive monitoring and analysis of daily life events of humans and animals in technologically integrated environments such as smart homes and smart cities. We developed an ODH intervention use
case in which A&EI mechanisms run in the background. The ODH framework structures the related data collection and analysis to enhance the understanding of human, animal, and environment interactions and associated outcomes. The use
case looks at the daily journey of Tracy, a healthy woman aged 27 years, and her dog Mego. Using medical Internet of Things, their activities are continuously monitored and analyzed to prevent or manage any kind of health-related abnormality. We reported and commented on an ODH intervention as an example of a real-life ODH implementation. We gave the reader examples of a \"how-to\" analysis of Tracy and Mego\'s daily life activities as part of a timely implementation of the ODH framework. For each activity, relationships to the ODH dimensions were scored, and relevant technical fields were evaluated in light of the Findable, Accessible, Interoperable, and Reusable principles. This \"how-to\" can be used as a template for further analyses. An ODH intervention is based on Findable, Accessible, Interoperable, and Reusable data and real-time processing for global health monitoring, emergency management, and research. The data should be collected and analyzed continuously in a spatial-temporal domain to detect changes in behavior, trends, and emergencies. The information periodically gathered should serve human, animal, and environmental health interventions by providing professionals and caregivers with inputs and \"how-to\'s\" to improve health, welfare, and risk prevention at the individual and population levels. Thus, ODH complementarily combined with A&EI is meant to enhance policies and systems and modernize emergency management.