PATIENT LENGTH OF STAY
Best serve patients by predicting their discharge and mortality status days in advance
Provide efficient clinical assistance by applying best-in-class machine learning models to predict patient operational characteristics. H2O provides an end-to-end solution in which EHR data is extracted and transformed into easy-to-read and impactful action items that improve overall patient care and reduce operational costs.
Why take the chance when you can use H2O’s LOS solution to….
Prioritize patients and identify efficiencies
Reduce length of stay and save costs
Prepare for treatment and disposition plans
Physicians take better care of their patients with H2O’s algorithm by predicting daily patient discharge or mortality with an industry-leading accuracy of over 90%
The priority of any hospital is to effectively treat as many patients as possible. To achieve this, healthcare professionals often require enhanced visibility into patient discharge times and mortality risks to better manage available beds, treat patients at risk, and admit new patients. H2O’s Patient Length of Stay (LOS) algorithm solves this problem by helping physicians predict their patients’ discharge times and mortality risks with a very high accuracy. In a recent production, a hospital using H2O’s algorithm was able to predict patient discharge within 48 hours 20% more accurately than the physician’s prediction.
The article goes on to explain how H2O’s Patient Length of Stay solution works, including information on the EHR data collection process, the prediction making model, and the user interface. Keep reading to learn more.