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Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021
Journal article   Open access   Peer reviewed

Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021

Aditya Sharma, Gina Oda, Michael Icardi, Larry Mole and Mark Holodniy
Diagnostic microbiology and infectious disease, Vol.102(3), pp.115617-115617
03/2022
DOI: 10.1016/j.diagmicrobio.2021.115617
PMCID: PMC8665666
PMID: 35007825
url
https://doi.org/10.1016/j.diagmicrobio.2021.115617View
Published (Version of record) Open Access

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency.
COVID-19 Laboratory performance Surveillance

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