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Machine Learning (3165) Clinical Informatics (2258) Decision Support for Health Professionals (2226) Health Care Quality and Health Services Research (532) Artificial Intelligence (4754)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73960, first published .
Medical staff assisting patients at a clinic reception desk with anatomical diagrams in the background.

An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study

An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study

Authors of this article:

Orhun Vural1 Author Orcid Image ;   Bunyamin Ozaydin2, 3 Author Orcid Image ;   Khalid Y Aram4 Author Orcid Image ;   James Booth5 Author Orcid Image ;   Brittany Freeman Lindsey6 Author Orcid Image ;   Abdulaziz Ahmed2, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Vural O, Ozaydin B, Booth J, Lindsey B, Ahmed A. Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding. Informatics 2025;12(3):95 View
  2. Su P, Shih H, Xu J. Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study. JMIR Medical Informatics 2025;13:e80351 View
  3. Chen Y, Wu H. Analysis of hospital resilience in public health emergencies using structural equation modeling: based on risk perception, resource preparedness, and team collaboration. Frontiers in Public Health 2026;14 View
  4. Cascella M, Avella M, Pumpo M, Sebastiani E, Bussa M, Tagliaferri A, Brunetti B, Meloni P, Bianchini E, Graziani P, Faustini F, D'Onofrio G, Manetta D, Catania C, Imbesi C, Pane C, Fusco R, Granata V. Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives. Journal of Evaluation in Clinical Practice 2026;32(4) View
  5. Cheng T, Daniels S, Snowden J, Glauser T. Advancing child health: forecasting the next great research achievements. Pediatric Research 2026 View
  6. Utsho M, Alam T, Rony M, Shahidullah M, Riipa M, Akter M, Molla S, Saha K, Sabeena A, Zhang W. Artificial Intelligence Applications for Hospital Resource Allocation in Emergency Preparedness. Advances in Public Health 2026;2026(1) View
  7. Jones D, Walker L, Asher L, Davis G, Carr B, Colletti J. Predicting the Unpredictable: A Data-Driven Machine Learning Model for Emergency Department Waiting Room Surge Status. Mayo Clinic Proceedings: Digital Health 2026;4(2):100365 View
  8. Meßner J, Freuer D, Meisinger C, Prodinger B, Zhou B, Conrad M, Garbe A, Behr A, Juraschek A, Fahlbusch F, Weber F. A local operational definition of pediatric emergency department overcrowding: an 8-year retrospective observational cohort study from the OACS+ project. Frontiers in Pediatrics 2026;14 View
  9. Cherepov A, Malikova L, Makarovskaya M, Ryazanov A. Optimization of organizational processes in healthcare using artificial intelligence and implications for BRICS countries: a systematic review with narrative synthesis. The BRICS Health Journal 2026;3(1):31 View
  10. Alrazeeni D, Alharrasi M, Rony M, Biswas R, Tama I, Saha S. The role of artificial intelligence in predicting readmission risk in emergency patients: An umbrella review. International Emergency Nursing 2026;88:101890 View

Conference Proceedings

  1. Lalithadevi B, Prasanna J, Sri J. 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC). Early Risk Prediction for Emergency Department Triage using Machine Learning Techniques View
  2. Mukherjee A, Almohseni H, Shannan S. 2025 IEEE International Conference on Advanced Healthcare Systems (ICAHS). Toward Intelligent Traffic and Healthcare Systems: DST-Induced Crash Patterns and Predictive Insights View