학술논문
Optimizing COVID-19 testing capabilities and clinical management using pathology informatics
Case Report
Case Report
Document Type
Academic Journal
Author
Source
JAMIA Open. December 2020, Vol. 3 Issue 4, p523, 7 p.
Subject
Language
English
ISSN
2574-2531
Abstract
INTRODUCTION The Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread rapidly in the United States. (1) All states have reported cases, and community [...]
Coronavirus disease 2019, first reported in China in late 2019, has quickly spread across the world. The outbreak was declared a pandemic by the World Health Organization on March 11, 2020. Here, we describe our initial efforts at the University of Florida Health for processing of large numbers of tests, streamlining data collection, and reporting data for optimizing testing capabilities and superior clinical management. Specifically, we discuss clinical and pathology informatics workflows and informatics instruments which we designed to meet the unique challenges of severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2) testing. We hope these results benefit institutions preparing to implement SARS-CoV-2 testing. Keywords: COVID-19, medical informatics, pathology, diagnostic tests, clinical laboratory information systems
Coronavirus disease 2019, first reported in China in late 2019, has quickly spread across the world. The outbreak was declared a pandemic by the World Health Organization on March 11, 2020. Here, we describe our initial efforts at the University of Florida Health for processing of large numbers of tests, streamlining data collection, and reporting data for optimizing testing capabilities and superior clinical management. Specifically, we discuss clinical and pathology informatics workflows and informatics instruments which we designed to meet the unique challenges of severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2) testing. We hope these results benefit institutions preparing to implement SARS-CoV-2 testing. Keywords: COVID-19, medical informatics, pathology, diagnostic tests, clinical laboratory information systems