增强个性化健康:物联网和人工智能的智能数据将如何改变医疗保健。

Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee
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引用次数: 42

摘要

正如我们所知,医疗保健正在经历一场巨大的变化——从偶发到连续,从以疾病为中心到以健康和生活质量为中心,从以诊所为中心到病人在任何地方,从临床医生控制到病人授权,从由有限的数据驱动到360度、多模式的个人-公共-人口物理-网络-社会大数据驱动。虽然创建和捕获数据的能力已经存在,但即将到来的创新将是通过上下文和个性化处理将这些大数据转换为智能数据,以便患者和临床医生能够做出更好的决策并及时采取行动,以增强个性化健康。本文概述了当前的机遇和挑战,重点介绍了实现这一目标的关键人工智能方法。作为know .e.sis kHealth个性化数字健康计划的一部分,三个正在进行的应用(儿童哮喘、减肥手术和疼痛管理)体现了更广泛的愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease focused to wellness and quality of life focused, from clinic centric to anywhere a patient is, from clinician controlled to patient empowered, and from being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data driven. While ability to create and capture data is already here, the upcoming innovations will be in converting this big data into smart data through contextual and personalized processing such that patients and clinicians can make better decisions and take timely actions for augmented personalized health. This paper outlines current opportunities and challenges, with a focus on key AI approaches to make this a reality. The broader vision is exemplified using three ongoing applications (asthma in children, bariatric surgery, and pain management) as part of the Kno.e.sis kHealth personalized digital health initiative.

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