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

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 CM...

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Detalles Bibliográficos
Autores principales: Shenoy, Erica S., Branch-Elliman, Westyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972536/
https://www.ncbi.nlm.nih.gov/pubmed/36865706
http://dx.doi.org/10.1017/ash.2022.312
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author Shenoy, Erica S.
Branch-Elliman, Westyn
author_facet Shenoy, Erica S.
Branch-Elliman, Westyn
author_sort Shenoy, Erica S.
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description 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.
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spelling pubmed-99725362023-03-01 Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III) Shenoy, Erica S. Branch-Elliman, Westyn Antimicrob Steward Healthc Epidemiol Review 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. Cambridge University Press 2023-02-10 /pmc/articles/PMC9972536/ /pubmed/36865706 http://dx.doi.org/10.1017/ash.2022.312 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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, provided the original article is properly cited.
spellingShingle Review
Shenoy, Erica S.
Branch-Elliman, Westyn
Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title_full Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title_fullStr Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title_full_unstemmed Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title_short Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III)
title_sort automating surveillance for healthcare-associated infections: rationale and current realities (part i/iii)
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972536/
https://www.ncbi.nlm.nih.gov/pubmed/36865706
http://dx.doi.org/10.1017/ash.2022.312
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