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Volume 30, Number 6—June 2024
Synopsis

Electronic Health Record–Based Algorithm for Monitoring Respiratory Virus–Like Illness

Noelle M. CocorosComments to Author , Karen Eberhardt, Vu-Thuy Nguyen, Catherine M. Brown, Alfred DeMaria, Lawrence C. Madoff, Liisa M. Randall, and Michael Klompas
Author affiliations: Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA (N.M. Cocoros, V.-T. Nguyen, M. Klompas); Harvard Medical School, Boston (N.M. Cocoros, M. Klompas); Commonwealth Informatics, Waltham, Massachusetts, USA (K. Eberhardt); Massachusetts Department of Public Health, Boston (C.M. Brown, A. DeMaria, L.C. Madoff, L.M. Randall); Brigham and Women’s Hospital, Boston (M. Klompas)

Main Article

Table 1

Respiratory pathogens and test types included in RAVIOLI algorithm for monitoring respiratory virus–like illness*

Pathogen Test types
Adenovirus NAAT
Non–SARS-CoV-2 coronaviruses: OC43,229E, HKU1, NL63 NAAT
Human metapneumovirus NAAT
Influenza NAAT, antigen/rapid, culture
Parainfluenza NAAT
Respiratory syncytial virus NAAT, antigen
Rhinovirus/enterovirus NAAT
SARS-CoV-2 NAAT, antigen/rapid

*Respiratory virus–like illness is defined as a clinical encounter with a positive laboratory test result for a respiratory virus, as shown in this table; 1 of the International Classification of Diseases, 10th Revision, diagnosis codes shown in Table 1; or a measured fever >100°F. NAAT, nucleic acid amplification test.

Main Article

Page created: April 11, 2024
Page updated: May 22, 2024
Page reviewed: May 22, 2024
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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