Civil Engineering professor Sauleh Siddiqui, along with Systems Institute researcher Dr. Scott Levin, Dr. Eric Hamrock and Dr. Matthew Toerper of the Johns Hopkins School of Medicine, and Professor Sean Barnes of the University of Maryland School of Business have recently created a computer model to predict when and how many patients will be discharged from a hospital on any given day. This model has proven to be as accurate as the doctors and nurses are with its predictions and, on numerous occasions, has outperformed them with its accuracy. The invention of this software comes at a critical time when overcrowding in hospitals has led to shortages in one of the most important resources available to patients: hospital beds. With this innovation, physicians will be able to rely on this model for accurate, up-to-date information – saving time that can then be spent treating patients.
View the video below to learn more about this impressive development or click here to read the journal article detailing the computer model.