Medical Internet of Things and Big Data in Healthcare.
Medical Internet of Things and Big Data in Healthcare.
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DOI：
10.4258/hir.2016.22.3.156
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发表时间：
2016-07
影响因子：
2.9
通讯作者：
Dimitrov DV
中科院分区：
文献类型：
--
作者：
Dimitrov DV
许多技术可以降低预防或管理慢性疾病的总成本。这些设备包括持续监测健康指标的设备，自动管理治疗的设备，或者在患者自我管理治疗时跟踪实时健康数据的设备。由于人们越来越多地使用高速互联网和智能手机，许多患者开始使用移动应用程序（app）来管理各种健康需求。这些设备和移动应用程序现在越来越多地通过医疗物联网（mIoT）与远程医疗和远程保健相结合。本文综述了医疗保健领域的物联网和大数据。物联网是医疗保健数字化转型的关键部分，因为它允许出现新的业务模式，并实现工作流程的变化、生产力的提高、成本控制和增强的客户体验。如今，可穿戴设备和移动应用支持健身、健康教育、症状跟踪以及协同疾病管理和护理协调。所有这些平台分析都可以提高数据解释的相关性，减少最终用户花费在拼凑数据输出上的时间。从大数据分析中获得的见解将推动医疗保健领域、业务流程和实时决策的数字化颠覆。一种新的“个性化预防健康教练”（数字健康顾问）将会出现。这些工人将具备解释和理解健康和福祉数据的技能和能力。他们将帮助客户避免慢性和与饮食有关的疾病，改善认知功能，改善心理健康，改善整体生活方式。随着全球人口老龄化，这些角色将变得越来越重要。
A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track real-time health data when a patient self-administers a therapy. Because they have increased access to high-speed Internet and smartphones, many patients have started to use mobile applications (apps) to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (mIoT). This paper reviews mIoT and big data in healthcare fields. mIoT is a critical piece of the digital transformation of healthcare, as it allows new business models to emerge and enables changes in work processes, productivity improvements, cost containment and enhanced customer experiences. Wearables and mobile apps today support fitness, health education, symptom tracking, and collaborative disease management and care coordination. All those platform analytics can raise the relevancy of data interpretations, reducing the amount of time that end users spend piecing together data outputs. Insights gained from big data analysis will drive the digital disruption of the healthcare world, business processes and real-time decision-making. A new category of "personalised preventative health coaches" (Digital Health Advisors) will emerge. These workers will possess the skills and the ability to interpret and understand health and well-being data. They will help their clients avoid chronic and diet-related illness, improve cognitive function, achieve improved mental health and achieve improved lifestyles overall. As the global population ages, such roles will become increasingly important.