Readmission Risk Prediction ML solution helps healthcare providers focus on high-risk patients who can avoid readmission if additional care is provided, thereby noticeably reducing the risk for 30-, 60-, and 90-day readmissions.
The solution is designed to predict heart failure readmission risk, rank patients by their risk level, and then identify potentially avoidable causes. The solution is capable of analyzing a wide range of clinical factors and identifying predictable readmission risk as early as possible.
If there’s a proper custom dataset of non-clinical socio-economic factors, it can be included into the solution's database for significantly more accurate prediction.
How it works?
Forecasting heart failure readmission risk for 30, 60, 90 days
Capable of being trained on a client’s datasets
Detection of potentially avoidable readmission
Ability to analyze and consider clinical and non-clinical factors, including associated costs
High usability for medical staff