Artificial Intelligence Prediction of ED Revisits and Hospitalization

By: Feili, Zohreh

Emergency departments (EDs) serve as the frontline of healthcare systems worldwide, managing acute and urgent medical conditions across a broad spectrum of severity. Over recent decades, the increasing volume of patient visits, combined with limited resources and staffing constraints, has placed unprecedented pressure on these critical care settings. One of the most persistent challenges faced by EDs is the occurrence of revisits or readmissions, which are frequently associated with increased healthcare costs, higher patient morbidity, and systemic inefficiencies. Consequently, understanding the factors that contribute to revisits, accurately predicting patients at elevated risk, and implementing targeted interventions to prevent unnecessary returns have become key priorities for clinicians, administrators, and policymakers alike.

• Format: Paperback
• Language: English
• ISBN: 6209473547
• ISBN13: 9786209473548
• Release Date: January 2026
• Publisher: LAP Lambert Academic Publishing
• Length: 88 Pages
• Weight: 0.28 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"