物联网在慢性呼吸系统疾病预防、诊断、治疗和管理中的应用

Dawei Yang , Kecheng Li , Danny Mingwei Chua , Yuanlin Song , Chunxue Bai , Charles A. Powell
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引用次数: 6

摘要

慢性呼吸道疾病是令人震惊的健康负担,影响着世界各地数亿人的生活,在很大程度上导致了全球(包括美国、中国和欧洲)的死亡率和发病率。慢性阻塞性肺疾病(COPD)、肺癌、肺炎、间质性肺疾病(ILD)和哮喘是推动这些疾病有效预防、诊断、治疗和管理发展的主要疾病。医疗物联网(MIOT)正迅速成为实现这一目标的最有前途的方法之一,这主要是因为它具有成本效益、非侵入性部署和自动化功能。再加上战略性地利用人工智能、连续数据收集和实时监测和响应系统,工业物联网显示出成为有效和高效解决方案的潜力。
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Application of Internet of Things in Chronic Respiratory Disease Prevention, Diagnosis, Treatment and Management

Chronic respiratory diseases are staggering health burdens affecting the lives of hundreds of millions of people around the world, contributing substantially to mortality and morbidity globally, including in the United States, China and Europe. Chronic obstructive pulmonary disease (COPD), lung cancer, pneumonia, interstitial lung disease (ILD) and asthma are among the leading diseases that urges the development of effective prevention, diagnosis, treatment and management of these diseases. Medical Internet-of-Things (MIOT) is fast becoming one of the most promising approaches to achieve this largely due to its cost effectiveness, non-invasive deployments and automation capabilities. Coupled together with strategically leveraging artificial intelligence, continuous data collection and real time monitoring and response systems, MIOT shows potential to be an effective and efficient solution.

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