The Internet, which has spanned several networks in a broad range of domains, is having a significant impact on every aspect of our lives. The next generation of networks will utilize a wide variety of resources with significant sensing capabilities. Such networks will extend beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks. This paradigm shift will involve symbiotic networks of smart medical devices, and smart phones or mobile personal computing and communication devices. These devices—and the network—will be constantly sensing, monitoring, and interpreting the environment; this is sometimes referred to as the Internet of Things (IoT). We are also witnessing considerable interest in the “Omics” paradigm, which can be viewed as the study of a domain in a massive scale, at different levels of abstraction, in an integrative manner. The IoT revolution, combined with the Omics revolution (genomics and socio-omics or social networks) and artificial intelligence resurgence, will have significant implications for the way health care is delivered in the United States. After discussing a vision for health care in the future, we introduce the P9 health care concept, followed by a discussion of a framework for smart health care. Then, we present a case study and research directions, followed by examples of ongoing work at the National Institute of Standards and Technology (NIST).

中文翻译：

---

通过数字革命改变医疗保健

互联网跨越了广泛领域的多个网络，正在对我们生活的方方面面产生重大影响。下一代网络将利用具有显着传感能力的各种资源。这样的网络将超越物理连接的计算机，包括来自生物、认知、语义和社交网络的多模式信息。这种范式转变将涉及智能医疗设备、智能手机或移动个人计算和通信设备的共生网络。这些设备——以及网络——将不断地感知、监控和解释环境；这有时被称为物联网 (IoT)。我们还目睹了对“组学”范式的极大兴趣，它可以被视为对一个大规模领域的研究，在不同的抽象层次上，以一种综合的方式。物联网革命与组学革命（基因组学和社会组学或社交网络）和人工智能的复兴相结合，将对美国提供医疗保健的方式产生重大影响。在讨论了未来医疗保健的愿景之后，我们介绍了 P9 医疗保健概念，然后讨论了智能医疗保健的框架。然后，我们介绍了一个案例研究和研究方向，然后是美国国家标准与技术研究院 (NIST) 正在进行的工作示例。将对美国提供医疗保健的方式产生重大影响。在讨论了未来医疗保健的愿景之后，我们介绍了 P9 医疗保健概念，然后讨论了智能医疗保健的框架。然后，我们介绍了一个案例研究和研究方向，然后是美国国家标准与技术研究院 (NIST) 正在进行的工作示例。将对美国提供医疗保健的方式产生重大影响。在讨论了未来医疗保健的愿景之后，我们介绍了 P9 医疗保健概念，然后讨论了智能医疗保健的框架。然后，我们介绍了一个案例研究和研究方向，然后是美国国家标准与技术研究院 (NIST) 正在进行的工作示例。