Contact Tracing for Healthcare Workers in an Intensive Care Unit

Author:

Zhang Jingwen1ORCID,Dai Ruixuan1ORCID,Rjob Ashraf2ORCID,Wang Ruiqi1ORCID,Hamauon Reshad1ORCID,Candell Jeffrey1ORCID,Bailey Thomas2ORCID,Fraser Victoria J.2ORCID,Guillamet Maria Cristina Vazquez2ORCID,Lu Chenyang3ORCID

Affiliation:

1. Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States

2. Washington University in St. Louis, Department of Medicine, St. Louis, Missouri, United States

3. Washington University in St. Louis, Department of Computer Science and Engineering, Department of Medicine, St. Louis, Missouri, United States

Abstract

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.

Funder

NIH CTSA

Fullgraf Foundation

CDC BAA

CDC epicenter grant

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference59 articles.

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