Author/Authors :
Balasubramani, Balaji Department of Computer and Information Science and Engineering - University of Florida, Gainesville, FL, USA , Newsom, Kimberly J. Department of Pathology - Immunology and Laboratory Medicine - University of Florida, Gainesville, FL, USA , Martinez, Katherine A. Department of Pathology - Immunology and Laboratory Medicine - University of Florida, Gainesville, FL, USA , Starostik, Petr Department of Pathology - Immunology and Laboratory Medicine - University of Florida, Gainesville, FL, USA , Clare-Salzler, Michael Department of Pathology - Immunology and Laboratory Medicine - University of Florida, Gainesville, FL, USA , Chamala, Srikar Department of Pathology - Immunology and Laboratory Medicine - University of Florida, Gainesville, FL, USA
Abstract :
The global rise of the coronavirus disease 2019 pandemic resulted in an exponentially increasing demand for severe acute respiratory syndrome coronavirus 2 testing, which resulted in shortage of reagents worldwide. This shortage has been further worsened by screening of asymptomatic populations such as returning employees, students, and so on, as part of plans to reopen the economy. To optimize the utilization of testing reagents and human resources, pool testing of populations with low prevalence has emerged as a promising strategy. Although pooling is an effective solution to reduce the number of reagents used for testing, the process of pooling samples together and tracking them throughout the entire workflow is challenging. To be effective, samples must be tracked into each pool, pool-tested and reported individually. In this article, we address these challenges using robotics and informatics.
Keywords :
coronavirus disease 2019 , medical informatics , pathology , severe acute respiratory syndrome coronavirus 2 , clinical laboratory information systems, pool testing
