Validation of a semiautomated system for surveillance of surgical site infection after cesarean section

Surveillance of surgical site infection after cesarean section is challenging due to the high volume of these surgeries. A manual chart review of women undergoing cesarean section between January and June 2017 (675 charts, 40 infections) was compared to charts identified via an algorithm (141 charts...

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Detalles Bibliográficos
Autores principales: Shitrit, Pnina, Mudrik, Ravid, Gottesman, Bat-Sheva, Chowers, Michal Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588442/
https://www.ncbi.nlm.nih.gov/pubmed/34180384
http://dx.doi.org/10.1017/ice.2021.264
Descripción
Sumario:Surveillance of surgical site infection after cesarean section is challenging due to the high volume of these surgeries. A manual chart review of women undergoing cesarean section between January and June 2017 (675 charts, 40 infections) was compared to charts identified via an algorithm (141 charts, 39 infections). The algorithm achieved 97.5% sensitivity and 83.9% specificity and reduced the workload of infection control personnel.

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