Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)

Erica S Shenoy; Westyn Branch-Elliman

doi:10.1017/ash.2022.312

Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)

Antimicrob Steward Healthc Epidemiol. 2023 Feb 10;3(1):e25. doi: 10.1017/ash.2022.312. eCollection 2023.

Authors

Erica S Shenoy^{1

2

3}, Westyn Branch-Elliman^{3

4

5}

Affiliations

¹ Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts.
² Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
³ Harvard Medical School, Boston, Massachusetts.
⁴ Section of Infectious Diseases, Department of Medicine, Veterans' Affairs (VA) Boston Healthcare System, Boston, Massachusetts.
⁵ VA Boston Center for Healthcare Organization and Implementation Research (CHOIR), Boston, Massachusetts.

Abstract

Infection surveillance is one of the cornerstones of infection prevention and control. Measurement of process metrics and clinical outcomes, such as detection of healthcare-associated infections (HAIs), can be used to support continuous quality improvement. HAI metrics are reported as part of the CMS Hospital-Acquired Conditions Program, and they influence facility reputation and financial outcomes.

Publication types

Review