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Trend of mortality and length of stay in the emergency department following implementation of a centralized sepsis alert system.
Grosman-Rimon, Liza; Rivlin, Leon; Spataro, Rosa; Zhu, Zhiqiang; Casey, Jane; Tory, Susan; Solanki, Jhanvi; Wegier, Pete.
Afiliação
  • Grosman-Rimon L; Humber River Health, Toronto, Canada.
  • Rivlin L; Humber River Health, Toronto, Canada.
  • Spataro R; Humber River Health, Toronto, Canada.
  • Zhu Z; Humber River Health, Toronto, Canada.
  • Casey J; Humber River Health, Toronto, Canada.
  • Tory S; Humber River Health, Toronto, Canada.
  • Solanki J; Humber River Health, Toronto, Canada.
  • Wegier P; Humber River Health, Toronto, Canada.
Digit Health ; 10: 20552076241250255, 2024.
Article em En | MEDLINE | ID: mdl-38680733
ABSTRACT

Introduction:

Sepsis alerts based on laboratory and vital sign criteria were found insufficient to improve patient outcomes. While most early sepsis alerts were implemented into smaller scale operating systems, a centralized new approach may provide more benefits, overcoming alert fatigue, improving deployment of staff and resources, and optimizing the overall management of sepsis. The objective of the study was to assess mortality and length of stay (LOS) trends in emergency department (ED) patients, following the implementation of a centralized and automated sepsis alert system.

Methods:

The automated sepsis alert system was implemented in 2021 as part of a hospital-wide command and control center. Administrative data from the years 2018 to 2021 were collected. Data included ED visits, in-hospital mortality, triage levels, LOS, and the Canadian Triage and Acuity Scale (CTAS).

Results:

Mortality rate for patients classified as CTAS I triage level was the lowest in 2021, after the implementation of the automated sepsis alert system, compared to 2020, 2019, and 2018 (p < 0.001). The Kaplan-Meier survival curve revealed that for patients classified as CTAS I triage level, the probability of survival was the highest in 2021, after implementation of the sepsis alert algorithm, compared to previous years (Log Rank, Mantel-Cox, χ²=29.742, p < 0.001). No significant differences in survival rate were observed for other triage levels.

Conclusion:

Implementing an automated sepsis alert system as part of a command center operation significantly improves mortality rate associated with LOS in the ED for patients in the highest triage level. These findings suggest that a centralized early sepsis alert system has the potential to improve patient outcomes.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article