1. COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges.
- Author
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Lyon ME, Bajkov A, Haugrud D, Kyle BD, Wu F, and Lyon AW
- Subjects
- COVID-19 epidemiology, COVID-19 virology, COVID-19 Testing statistics & numerical data, COVID-19 Testing trends, Clinical Laboratory Services organization & administration, Clinical Laboratory Services statistics & numerical data, Computer Simulation, Datasets as Topic, Forecasting methods, Health Care Rationing statistics & numerical data, Health Planning Technical Assistance, Hospital Bed Capacity statistics & numerical data, Humans, Intensive Care Units organization & administration, Intensive Care Units statistics & numerical data, Intensive Care Units trends, Laboratories, Hospital supply & distribution, Laboratories, Hospital trends, Models, Statistical, Reagent Kits, Diagnostic supply & distribution, Reagent Kits, Diagnostic trends, SARS-CoV-2 isolation & purification, Saskatchewan epidemiology, Software, Time Factors, Workload statistics & numerical data, COVID-19 diagnosis, COVID-19 Testing instrumentation, Health Care Rationing methods, Laboratories, Hospital organization & administration, Pandemics statistics & numerical data
- Abstract
Background: Patient surges beyond hospital capacity during the initial phase of the COVID-19 pandemic emphasized a need for clinical laboratories to prepare test processes to support future patient care. The objective of this study was to determine if current instrumentation in local hospital laboratories can accommodate the anticipated workload from COVID-19 infected patients in hospitals and a proposed field hospital in addition to testing for non-infected patients., Methods: Simulation models predicted instrument throughput and turn-around-time for chemistry, ion-selective-electrode, and immunoassay tests using vendor-developed software with different workload scenarios. The expanded workload included tests from anticipated COVID patients in 2 local hospitals and a proposed field hospital with a COVID-specific test menu in addition to the pre-pandemic workload., Results: Instrumentation throughput and turn-around time at each site was predicted. With additional COVID-patient beds in each hospital, the maximum throughput was approached with no impact on turnaround time. Addition of the field hospital workload led to significantly increased test turnaround times at each site., Conclusions: Simulation models depicted the analytic capacity and turn-around times for laboratory tests at each site and identified the laboratory best suited for field hospital laboratory support during the pandemic., (© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
- Published
- 2021
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