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This paper is in the following e-collection/theme issue:

Data Science (721) Clinical Informatics (2363) Clinical Information and Decision Making (3850) Organizational Issues (272) Electronic Health Records (1773) Advanced Data Analytics in eHealth (370) Quality Improvement (379) mHealth for Health Administration (249)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63765, first published .
Medical team monitors patient data on multiple screens in a hospital control room.

Toward Real-Time Discharge Volume Predictions in Multisite Health Care Systems: Longitudinal Observational Study

Toward Real-Time Discharge Volume Predictions in Multisite Health Care Systems: Longitudinal Observational Study

Authors of this article:

Fernando Acosta-Perez1, 2 Author Orcid Image ;   Justin Boutilier1 Author Orcid Image ;   Gabriel Zayas-Caban1 Author Orcid Image ;   Sabrina Adelaine2 Author Orcid Image ;   Frank Liao2, 3 Author Orcid Image ;   Brian Patterson1, 2, 3 Author Orcid Image
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Journals

  1. Boateng S, Mensah K, Asante K, Owusu L. Machine Learning Model for Forecasting Hospital Housekeeping Demand Using Discharge Predictions, Room Turnover History, Isolation Status, Environmental Cleaning Requirements, and Unit-Level Census Patterns. Journal of Health Informatics and Digital Systems 2025;5(2) View
  2. Brown N, Taylor E, Wilson J, Scott O. Agentic Artificial Intelligence in Healthcare Systems: A Systematic Review of Autonomous Discharge Coordination, Task Routing, Human Oversight, Safety Guardrails, and Workflow Accountability. Journal of Health Informatics and Digital Systems 2026;6(2) View

Conference Proceedings

  1. Varaprasad R, Sreepradha A, Jahnavi G, Zoya A, Sri G, Akhila B. 2026 9th International Conference on Trends in Electronics and Informatics (ICOEI). A Predictive Analytics Framework for Healthcare Resource Optimization using Hospital Operational Data View