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.
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.
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.
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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.