Modeling ICU Occupancy

Healthcare Operations Patient Experience Improve Health Outcomes Reduce Risk
Forecasting ICU occupancy means being prepared for incoming patients and not staffing empty beds.
Build with Free Trial

Problem/Pain

When an ICU hits capacity, due to staffing or bed space, no additional patients can be admitted. The resulting delays and transfers impact the quality of patient care and effect a financial consequence.

Solution

Using your historical data, including patient, event, and environmental factors, DataRobot can model likely ICU usage. When you know which current patients are likely to transfer to the ICU, which ICU patients are likely to be discharged, and the number of likely new ER patients, you can better prepare. The result is a bed available for each patient, with accurate staffing levels to ensure each patient gets the care they need and you don’t pay for unnecessary personnel resources.

Why DataRobot

DataRobot can see your entire hospital in an instant and estimate the movements of patients within the hospital to help you prepare for what’s coming.

banner purple waves bg

Experience the DataRobot AI Platform

Less Friction, More AI. Get Started Today With a Free 30-Day Trial.

Sign Up for Free
Healthcare
Explore More Healthcare Use Cases
Healthcare companies are using machine learning and AI to increase top and bottom line through gaining competitive advantages, reducing expenses, and improving efficiencies. They are optimizing all areas of their business from readmission risk and occupancy rates to marketing, in order to make data-driven decisions that lead to increased profitability.