TY - JOUR
T1 - Contact Tracing for Healthcare Workers in an Intensive Care Unit
AU - Zhang, Jingwen
AU - Dai, Ruixuan
AU - Rjob, Ashraf
AU - Wang, Ruiqi
AU - Hamauon, Reshad
AU - Candell, Jeffrey
AU - Bailey, Thomas
AU - Fraser, Victoria J.
AU - Guillamet, Maria Cristina Vazquez
AU - Lu, Chenyang
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/9/27
Y1 - 2023/9/27
N2 - Contact tracing is a powerful tool for mitigating the spread of COVID-19 during the pandemic. Front-line healthcare workers are particularly at high risk of infection in hospital units. This paper presents ContAct TraCing for Hospitals (CATCH), an automated contact tracing system designed specifically for healthcare workers in hospital environments. CATCH employs distributed embedded devices placed throughout a hospital unit to detect close contacts among healthcare workers wearing Bluetooth Low Energy (BLE) beacons. We first identify a set of distinct contact tracing scenarios based on the diverse environmental characteristics of a real-world intensive care unit (ICU) and the different working patterns of healthcare workers in different spaces within the unit. We then develop a suite of novel contact tracing methods tailored for each scenario. CATCH has been deployed and evaluated in the ICU of a major medical center, demonstrating superior accuracy in contact tracing over existing approaches through a wide range of experiments. Furthermore, the real-world case study highlights the effectiveness and efficiency of CATCH compared to standard contact tracing practices.
AB - Contact tracing is a powerful tool for mitigating the spread of COVID-19 during the pandemic. Front-line healthcare workers are particularly at high risk of infection in hospital units. This paper presents ContAct TraCing for Hospitals (CATCH), an automated contact tracing system designed specifically for healthcare workers in hospital environments. CATCH employs distributed embedded devices placed throughout a hospital unit to detect close contacts among healthcare workers wearing Bluetooth Low Energy (BLE) beacons. We first identify a set of distinct contact tracing scenarios based on the diverse environmental characteristics of a real-world intensive care unit (ICU) and the different working patterns of healthcare workers in different spaces within the unit. We then develop a suite of novel contact tracing methods tailored for each scenario. CATCH has been deployed and evaluated in the ICU of a major medical center, demonstrating superior accuracy in contact tracing over existing approaches through a wide range of experiments. Furthermore, the real-world case study highlights the effectiveness and efficiency of CATCH compared to standard contact tracing practices.
KW - Bluetooth Low Energy
KW - Contact Tracing
KW - Covid-19
KW - Internet of things (IoT)
UR - http://www.scopus.com/inward/record.url?scp=85173607612&partnerID=8YFLogxK
U2 - 10.1145/3610924
DO - 10.1145/3610924
M3 - Article
AN - SCOPUS:85173607612
SN - 2474-9567
VL - 7
JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IS - 3
M1 - 3610924
ER -