
Modeling ICU Occupancy
Forecasting ICU occupancy means being prepared for incoming patients and not staffing empty beds.
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.
Learn More About AI in Healthcare
-
HealthcareEstimating Sepsis RiskDataRobot learns from historical data to help with early identification of patients at high risk of sepsis.Read More
-
HealthcareDrug Delivery OptimizationDataRobot helps companies optimize supply chain and drug delivery processes, balancing timely delivery with managing costs.Read More
-
HealthcareDisease PropensityDataRobot uses AI to help identify patients with a high likelihood of a particular disease, along with appropriate treatments, to improve outcomes.Read More