Children's Hospital Uses Artificial Intelligence to Shorten Emergency Room Wait Times

Children's National Hospital in Washington has begun using an artificial intelligence-based system to predict crowding in its pediatric emergency department and prevent patients from leaving without receiving treatment.

AI-Powered Prediction System

Children's National Hospital has made artificial intelligence technology a key tool for anticipating crowding in the emergency department. This system allows precautions to be taken before hospital waiting rooms become overcrowded.

Nationwide Issues

Hours-long waits in emergency departments stand out as a common problem not just for a single hospital, but for institutions across the country. A nationwide decline in the number of pediatric beds makes this situation even more difficult.

Hourly Updated Machine Learning

The developed prediction technology analyzes the day of the week, time, holidays, and various other factors. Utilizing machine learning, this platform automatically updates every hour to forecast crowding.

Automated Alerts and Additional Resources

When it is predicted that multiple high-acuity patients will leave without receiving treatment, the system sends automated alerts. This enables hospital management to call in additional doctors and nurses on duty.

Prioritizing the Safety of Critical Patients

The primary goal of the application is not only to shorten wait times, but also to prevent adverse outcomes by stopping the sickest children from returning home without treatment.

Contribution to Staff Planning

The technology does not directly make decisions regarding children's treatments, but it helps doctors with shift planning. According to federal data, patients in the region spend an average of more than five hours in the emergency department.

Success in Wait Times

It is stated that thanks to the system, which began being used in Fall 2024, notable improvements in wait times have been recorded on days when more than 200 patients are admitted.