Real-time demand forecasting in the emergency department
Related Experiment Video
Updated: Jul 2, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Abstract:
Shifts in the supply of and demand for emergency department (ED) services have led to ED overcrowding and make the efficient allocation of ED resources increasingly important. Reliable means of modeling and forecasting the demand for resources are critical to any ED resource planning strategy. Vector Autoregression (VAR) is a flexible multivariate time-series forecasting methodology that is well suited to modeling demand for resources in the ED.
Related Concept Videos
Applications of GIS: Disaster Management and Emergency Response
Steps in Outbreak Investigation
SBAR II: Application of SBAR
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Methods of Documentation VII: EMR
Types of Reports III: Telephone and Verbal Reports
Here's an overview of each type:
Telephone Orders
