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

被引:5
|
作者
Tang, Guanglin [1 ]
Westover, Kenneth [1 ]
Jiang, Steve [1 ]
机构
[1] Univ Texas Southwestern Med Ctr Dallas, Dept Radiat Oncol, Med Artificial Intelligence & Automat MAIA Lab, Dallas, TX 75390 USA
来源
关键词
COVID-19; deep learning; artificial intelligence; real-time location system; bluetooth; contact tracing; healthcare; BID-ASK SPREAD; INFORMATION; IMPACT; MODEL;
D O I
10.3389/frai.2021.666599
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页数:14
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