ArticleJournal of medical systems2016
Forecasting the Emergency Department Patients Flow.
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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Who cites it
28 citing papers in PubMed.
- Predicting Emergency Department Patient Arrivals at Hospitals Using Machine Learning Techniques.Healthcare (Basel, Switzerland) · 2026Article
- Factors associated with the phenomenon of overcrowding in the emergency department: a retrospective cohort study.BMC emergency medicine · 2026Article
- Enhancing Emergency Department Management: A Data-Driven Approach to Detect and Predict Surge Persistence.Healthcare (Basel, Switzerland) · 2024Article
- Evaluation of disease burden and symptom scores in patients with acute atrial fibrillation in the emergency department.World journal of emergency medicine · 2024Article
- Article
- Main Features and Control Strategies to Reduce Overcrowding in Emergency Departments: A Systematic Review of the Literature.Risk management and healthcare policy · 2023Review
- Healthcare-associated adverse events and readmission to the emergency departments within seven days after a first consultation.Frontiers in public health · 2023Article
- Accurate Forecasting of Emergency Department Arrivals With Internet Search Index and Machine Learning Models: Model Development and Performance Evaluation.JMIR medical informatics · 2022Article
- Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework.Journal of ambient intelligence and humanized computing · 2022Article
- Multimorbidity clustering of the emergency department patient flow: Impact analysis of new unscheduled care clinics.PloS one · 2022Article
- Excess short-term mortality in noncritical patients with atrial fibrillation presenting to the emergency department.Wiener klinische Wochenschrift · 2021Article
- Effect of the COVID-19 Outbreak on Pediatric Patients' Admissions to the Emergency Department in an Italian Orthopedic Trauma Hub.Children (Basel, Switzerland) · 2021Article
- Predicting emergency department visits in a large teaching hospital.International journal of emergency medicine · 2021Article
- E-Triage Systems for COVID-19 Outbreak: Review and Recommendations.Sensors (Basel, Switzerland) · 2021Review
- Forecasting the Patients Flow at Pediatric Emergency Departments.Journal of medical systems · 2021Article
- Prediction of Obstetric Patient Flow and Horizontal Allocation of Medical Resources Based on Time Series Analysis.Frontiers in public health · 2021Article
- Italy and COVID-19: the changing patient flow in an orthopedic trauma center emergency department.Journal of orthopaedic surgery and research · 2020Article
- Assessing healthcare service quality using routinely collected data: Linking information systems in emergency care.Journal of medical systems · 2020Article
- Impact of Scribes with Flow Coordination Duties on Throughput in an Academic Emergency Department.The western journal of emergency medicine · 2020Article
- Association between long boarding time in the emergency department and hospital mortality: a single-center propensity score-based analysis.Internal and emergency medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emergency department (ED) have become the patient's main point of entrance in modern hospitals causing it frequent overcrowding, thus hospital managers are increasingly paying attention to the ED in order to provide better quality service for patients. One of the key elements for a good management strategy is demand forecasting. In this case, forecasting patients flow, which will help decision makers to optimize human (doctors, nurses…) and material(beds, boxs…) resources allocation. The main interest of this research is forecasting daily attendance at an emergency department. The study was conducted on the Emergency Department of Troyes city hospital center, France, in which we propose a new practical ED patients classification that consolidate the CCMU and GEMSA categories into one category and innovative time-series based models to forecast long and short term daily attendance. The models we developed for this case study shows very good performances (up to 91,24 % for the annual Total flow forecast) and robustness to epidemic periods.
Indexed as
Identifiers
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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.