Volume 30, Number 6—June 2024
Synopsis
Electronic Health Record–Based Algorithm for Monitoring Respiratory Virus–Like Illness
Noelle M. Cocoros
, Karen Eberhardt, Vu-Thuy Nguyen, Catherine M. Brown, Alfred DeMaria, Lawrence C. Madoff, Liisa M. Randall, and Michael Klompas
, Karen Eberhardt, Vu-Thuy Nguyen, Catherine M. Brown, Alfred DeMaria, Lawrence C. Madoff, Liisa M. Randall, and Michael KlompasAuthor 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)
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 inTable 1; or a measured fever >100°F. NAAT, nucleic acid amplification test.
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