Clinical and Operational Effects of Emergency Department Crowding: A Systematic Review

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Authors: Anas AHMED, Abdulrahman A Aqeel, Mohammed Ghazwani, Abdulmohsen N Alenzi, Faisal Alruwaili, Abdulmajeed Alsharari, Yaseer H. Alharbi, Albatool A Aldahaas, Mozoon AlMajed, Faris A Alshahrani
Cited by: 3
References: 15

Abstract

Emergency department (ED) crowding, defined as a mismatch between ED capacity and patient care demands, remains a global challenge linked to delays in care, reduced quality of services, and increased risk of adverse outcomes. This review synthesized thirteen observational studies evaluating the effects of ED crowding on patient outcomes, care processes, and healthcare system performance, including mortality, delays in assessment and treatment, diagnostic and therapeutic timeliness, boarding duration, ED and inpatient length of stay, readmissions, errors, and staff-related impacts. Findings showed that ED crowding consistently resulted in delayed clinical processes, particularly analgesia administration, antibiotic initiation, stroke evaluation, trauma care, and sepsis management, alongside increased ED and inpatient length of stay, higher rates of hospital-acquired complications, diagnostic delays, and reduced adherence to evidence-based practices. Reports on mortality were inconsistent, with some studies identifying an association and others finding no independent effect after adjusting for illness severity, reflecting variability in study design and measurement. Overall, ED crowding was associated with operational strain, increased admission rates, and heightened resource utilization. These findings indicate that ED crowding adversely affects the timeliness and quality of emergency care and contributes to broader system inefficiencies, underscoring the need for coordinated strategies focused on improving patient flow, increasing bed capacity, and reducing boarding to mitigate its impact.

Fields of Study & Subjects

Emergency and Acute Care Studies Sepsis Diagnosis and Treatment Healthcare Operations and Scheduling Optimization

Publication details

Journal / source
Cureus
Publisher
Springer Science and Business Media LLC
Volume
18
Issue
1
Pages
e100560–e100560
Publication date
1 January 2026
Language
EN