SynthesisInternational journal of environmental research and public health2020
Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review.
Synthesis in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system.BMC health services research · 2024Pooled it
- Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Delays in Initiating Ambulance Transport Following Emergency Patient Referral to Mulago National Referral Hospital.Cureus · 2026Article
- Improving Emergency Department Staff Satisfaction Through Lean Thinking: Evidence From a Mixed Study.Journal of nursing management · 2026Article
- Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department.BMC emergency medicine · 2025Article
- Using patient journey mapping and provider workflows to understand process barriers to pediatric mental and behavioral health care in emergency departments.Applied ergonomics · 2025Article
- "A banana in the tailpipe": a qualitative study of patient flow in the healthcare system.BMC health services research · 2025Article
- Non-urgent patients in emergency centres in Western Cape district health services.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025Article
- Streamlining emergency nursing care post-pandemic: A lean approach for reducing wait times and improving patient and staff satisfaction in the hospital.BMC nursing · 2025Article
- Interpretable machine learning models for prolonged Emergency Department wait time prediction.BMC health services research · 2025Article
- Optimizing Emergency Department Operations: A Simulation Framework for Managerial Decision-Making.Journal of nursing management · 2025Article
- Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning.BMC medical informatics and decision making · 2024Article
- Prediction of emergency department presentations for acute coronary syndrome using a machine learning approach.Scientific reports · 2024Article
- Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study.Scientific reports · 2024Article
- Dysphagia Management in the Emergency Department: Using Concept Mapping to Identify Actionable Change to Improve Services.Dysphagia · 2024Article
- Identifying the obstacles facing emergency nurses regarding treating CTAS1 and CTAS2 in Saudi Arabia.BMC emergency medicine · 2024Article
- Overcrowding in emergency departments: an overview of reviews describing global solutions and their outcomes.Internal and emergency medicine · 2024Review
- Article
- Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study.Journal of business research · 2023Article
- Impact of an approach combining optimization and simulation to improve the service quality of an emergency department.La Tunisie medicale · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most commonly used techniques for addressing each Emergency Department (ED) problem (overcrowding, prolonged waiting time, extended length of stay, excessive patient flow time, and high left-without-being-seen (LWBS) rates) were specified to provide healthcare managers and researchers with a useful framework for effectively solving these operational deficiencies. Finally, we identified the existing research tendencies and highlighted opportunities for future work. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to undertake a review including scholarly articles published between April 1993 and October 2019. The selected papers were categorized considering the leading ED problems and publication year. Two hundred and three (203) papers distributed in 120 journals were found to meet the inclusion criteria. Furthermore, computer simulation and lean manufacturing were concluded to be the most prominent approaches for addressing the leading operational problems in EDs. In future interventions, ED administrators and researchers are widely advised to combine Operations Research (OR) methods, quality-based techniques, and data-driven approaches for upgrading the performance of EDs. On a different tack, more interventions are required for tackling overcrowding and high left-without-being-seen rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.