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Surveillance for probable COVID-19 using structured data in the electronic medical record

Published online by Cambridge University Press:  23 July 2020

Patrick C. Burke*
Affiliation:
Department of Infection Prevention, Cleveland Clinic, Cleveland, Ohio
Rachel Benish Shirley
Affiliation:
Enterprise Quality, Cleveland Clinic, Cleveland, Ohio
Matthew Faiman
Affiliation:
Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio Information Technology, Cleveland Clinic, Cleveland, Ohio
Eric W. Boose
Affiliation:
Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio Information Technology, Cleveland Clinic, Cleveland, Ohio
Robert W. Jones Jr
Affiliation:
Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio
Amy Merlino
Affiliation:
Information Technology, Cleveland Clinic, Cleveland, Ohio
Steven M. Gordon
Affiliation:
Department of Infectious Disease, Cleveland Clinic, Cleveland, Ohio
Thomas G. Fraser
Affiliation:
Department of Infectious Disease, Cleveland Clinic, Cleveland, Ohio
*
Author for correspondence: Patrick C. Burke, E-mail: burkep@ccf.org
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Abstract

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Type
Letter to the Editor
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved
Figure 0

Table 1. Clinical and Epidemiologic Characteristics of Patients Seen at the Cleveland Clinic Virtual Visit for COVID-19 Concern Who Did and Did Not Meet the CSTE Case Definition for Probable COVID-19, April 15–April 21, 2020

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