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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

Figure 1

Numbers of patients with a clinical encounter for respiratory virus–like illness and the percentages that met the requirements for influenza-like illness versus those of the RAVIOLI algorithm for monitoring respiratory virus–like illness, by week, Massachusetts, USA, October 2015–January 2024. Patients receiving a diagnosis code, immunization, vital sign measure, laboratory test, or prescription were considered to have a clinical encounter.

Figure 1. Numbers of patients with a clinical encounter for respiratory virus–like illness and the percentages that met the requirements for influenza-like illness versus those of the RAVIOLI algorithm for monitoring respiratory virus–like illness, by week, Massachusetts, USA, October 2015–January 2024. Patients receiving a diagnosis code, immunization, vital sign measure, laboratory test, or prescription were considered to have a clinical encounter.

Main Article

Page created: April 11, 2024
Page updated: May 22, 2024
Page reviewed: May 22, 2024
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