Improving Triage in Emergency Rooms: Case Study on the Implementation of ESI at Clínica de Salud

The Emergency Unit at Clínica Salud plays an essential role in community health care. However, the current categorization system has shown limitations in guaranteeing timely and effective care. This study aims to implement a new categorization system based on the Emergency Severity Index (ESI), in order to optimize workflows, improve the use of resources and increase patient satisfaction, improve the use of resources and increase patient satisfaction. During 2021, data collection was carried out to evaluate critical processes and identify bottlenecks in the current system. A series of workshops and technical tables were held with the main actors involved, including medical and nursing personnel. The results showed a significant reduction in waiting times, an increase in the number of patients served, and improvements in satisfaction rates. Likewise, the new model allowed better categorization of patients, ensuring faster care.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.14632837
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
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article

Improving Triage in Emergency Rooms: Case Study on the Implementation of ESI at Clínica de Salud

Zenodo (CERN European Organization for Nuclear Research)
Food Security and Health in Diverse Populations
article

Improving Triage in Emergency Rooms: Case Study on the Implementation of ESI at Clínica de Salud

article en

Abstract

The Emergency Unit at Clínica Salud plays an essential role in community health care. However, the current categorization system has shown limitations in guaranteeing timely and effective care. This study aims to implement a new categorization system based on the Emergency Severity Index (ESI), in order to optimize workflows, improve the use of resources and increase patient satisfaction, improve the use of resources and increase patient satisfaction. During 2021, data collection was carried out to evaluate critical processes and identify bottlenecks in the current system. A series of workshops and technical tables were held with the main actors involved, including medical and nursing personnel. The results showed a significant reduction in waiting times, an increase in the number of patients served, and improvements in satisfaction rates. Likewise, the new model allowed better categorization of patients, ensuring faster care.

Zenodo (CERN European Organization for Nuclear Research)
University of Bío-Bío (CL)
Openalex Percentile: Top 40%
Food Security and Health in Diverse Populations
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