ReviewHealth systems (Basingstoke, England)2018
An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments.
Review in Health systems (Basingstoke, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05174481 (Forecasting ED Overcrowding With Statistical Methods), which is not on this map. Cited by 23 papers, 3 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.
Forecasting ED Overcrowding With Statistical Methods: A Prospective Validation Study
Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process.Health care management science · 2025Pooled it
- A Systematic Review of Features Forecasting Patient Arrival Numbers.Computers, informatics, nursing : CIN · 2025Pooled it
- Alcohol-Related Presentations to Emergency Departments on Days with Holidays, Social, and Sporting Events: An Integrative Literature Review.Prehospital and disaster medicine · 2023Pooled it
- Dynamics and Forecasting of Emergency Department Presentations: An Integrative Approach Based on Statistical Analysis and Time-Series Models.Healthcare (Basel, Switzerland) · 2026Article
- Stakeholder perspectives on implementing ED time series forecasting: a qualitative interview study.BMC emergency medicine · 2026Article
- Applying the Moving Epidemic Method to Emergency Department Syndromic Surveillance to identify the Start of Influenza Seasons in New South Wales, Australia.Influenza and other respiratory viruses · 2026Article
- AI-powered models for overcrowding prediction at TUMS hospitals.Scientific reports · 2025Article
- Article
- Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study.Journal of medical Internet research · 2025Observational
- Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data.Journal of medical systems · 2025Article
- Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning.BMC medical informatics and decision making · 2024Article
- Development of an approach to forecast future takeaway outlet growth around schools and population exposure to takeaways in England.International journal of health geographics · 2024Article
- Physician performance scores used to predict emergency department admission numbers and excessive admissions burden.BMJ health & care informatics · 2024Article
- Probabilistic forecasting of hourly emergency department arrivals.Health systems (Basingstoke, England) · 2024Article
- Early Warning Software for Emergency Department Crowding.Journal of medical systems · 2023Article
- Forecasting admissions in psychiatric hospitals before and during Covid-19: a retrospective study with routine data.Scientific reports · 2022Article
- COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach.Applied soft computing · 2022Article
- Accurate Forecasting of Emergency Department Arrivals With Internet Search Index and Machine Learning Models: Model Development and Performance Evaluation.JMIR medical informatics · 2022Article
- A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2022Article
- Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach.BMC medical informatics and decision making · 2022Article
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
Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of health care in EDs are associated with a number of factors, such as patient overall length of stay (LOS) and admission, prompt ambulance diversion, quick and accurate triage, nurse and physician assessment, diagnostic and laboratory services, consultations and treatment. One of the most important ways to plan the healthcare delivery efficiently is to make forecasts of ED processes. The aim this study is thus to provide an exhaustive review for ED stakeholders interested in applying forecasting methods to their ED processes. A categorisation, analysis and interpretation of 102 papers is performed for review. This exhaustive review provides an insight for researchers and practitioners about forecasting in EDs in terms of showing current state and potential areas for future attempts.
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.