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Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III)
The rich and complex electronic health record presents promise for expanding infection detection beyond currently covered settings of care. Here, we review the “how to” of leveraging electronic data sources to expand surveillance to settings of care and infections that have not been the traditional...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972537/ https://www.ncbi.nlm.nih.gov/pubmed/36865709 http://dx.doi.org/10.1017/ash.2022.342 |
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author | Branch-Elliman, Westyn Sundermann, Alexander J. Wiens, Jenna Shenoy, Erica S. |
author_facet | Branch-Elliman, Westyn Sundermann, Alexander J. Wiens, Jenna Shenoy, Erica S. |
author_sort | Branch-Elliman, Westyn |
collection | PubMed |
description | The rich and complex electronic health record presents promise for expanding infection detection beyond currently covered settings of care. Here, we review the “how to” of leveraging electronic data sources to expand surveillance to settings of care and infections that have not been the traditional purview of the National Healthcare Safety Network (NHSN), including a discussion of creation of objective and reproducible infection surveillance definitions. In pursuit of a ‘fully automated’ system, we also examine the promises and pitfalls of leveraging unstructured, free-text data to support infection prevention activities and emerging technological advances that will likely affect the practice of automated infection surveillance. Finally, barriers to achieving a completely ‘automated’ infection detection system and challenges with intra- and interfacility reliability and missing data are discussed. |
format | Online Article Text |
id | pubmed-9972537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99725372023-03-01 Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) Branch-Elliman, Westyn Sundermann, Alexander J. Wiens, Jenna Shenoy, Erica S. Antimicrob Steward Healthc Epidemiol Review The rich and complex electronic health record presents promise for expanding infection detection beyond currently covered settings of care. Here, we review the “how to” of leveraging electronic data sources to expand surveillance to settings of care and infections that have not been the traditional purview of the National Healthcare Safety Network (NHSN), including a discussion of creation of objective and reproducible infection surveillance definitions. In pursuit of a ‘fully automated’ system, we also examine the promises and pitfalls of leveraging unstructured, free-text data to support infection prevention activities and emerging technological advances that will likely affect the practice of automated infection surveillance. Finally, barriers to achieving a completely ‘automated’ infection detection system and challenges with intra- and interfacility reliability and missing data are discussed. Cambridge University Press 2023-02-10 /pmc/articles/PMC9972537/ /pubmed/36865709 http://dx.doi.org/10.1017/ash.2022.342 Text en © The Author(s) 2023 To the extent this is a work of the US Government, it is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America. 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 Branch-Elliman, Westyn Sundermann, Alexander J. Wiens, Jenna Shenoy, Erica S. Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title | Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title_full | Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title_fullStr | Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title_full_unstemmed | Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title_short | Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) |
title_sort | leveraging electronic data to expand infection detection beyond traditional settings and definitions (part ii/iii) |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972537/ https://www.ncbi.nlm.nih.gov/pubmed/36865709 http://dx.doi.org/10.1017/ash.2022.342 |
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