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新冠疫情期间在医疗机构中利用低功耗蓝牙和人工智能进行接触者追踪——一种观点

Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence-A Viewpoint.

作者信息

Tang Guanglin, Westover Kenneth, Jiang Steve

机构信息

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States.

出版信息

Front Artif Intell. 2021 Apr 23;4:666599. doi: 10.3389/frai.2021.666599. eCollection 2021.

DOI:10.3389/frai.2021.666599
PMID:33972932
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8105292/
Abstract

The COVID-19 pandemic has inflicted great damage with effects that will likely linger for a long time. This crisis has highlighted the importance of contact tracing in healthcare settings because hospitalized patients are among the high risk for complications and death. Moreover, effective contact tracing schemes are not yet available in healthcare settings. A good contact tracing technology in healthcare settings should be equipped with six features: promptness, simplicity, high precision, integration, minimized privacy concerns, and social fairness. One potential solution that addresses all of these elements leverages an indoor real-time location system based on Bluetooth Low Energy and artificial intelligence.

摘要

新冠疫情造成了巨大破坏,其影响可能会长期持续。这场危机凸显了医疗机构中接触者追踪的重要性,因为住院患者属于并发症和死亡的高风险人群。此外,医疗机构中尚未有有效的接触者追踪方案。医疗机构中良好的接触者追踪技术应具备六个特点:及时性、简易性、高精度、集成性、将隐私问题降至最低以及社会公平性。一种能够解决所有这些问题的潜在解决方案是利用基于低功耗蓝牙和人工智能的室内实时定位系统。

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