Case Study: a major Californian healthcare provider cuts readmissions by 25% with Tiger Analytics

a US healthcare provider cuts readmissions by 25% with Tiger Analytics

A major Californian healthcare provider faced significant financial penalties due to high patient readmission rates. They partnered with Tiger Analytics to implement an analytics solution, utilizing predictive modeling to forecast readmission risk and length of stay.

Tiger Analytics developed a solution using Logistic Regression for readmission risk and Linear Regression for length of stay. The implementation successfully identified 25% of readmissions by flagging just 5% of patients. Length of stay predictions were highly accurate, within one day for 60% of patients and within two days for 80% of patients, helping the provider cut readmissions by 25%.