Hospital Readmissions AI

Enhance patient care and improve profitability using Zasti’s Readmissions prediction AI


Reducing Readmissions Rates

Discharging patients is a complex process

Penalties for excessive 30-day hospital readmissions rates

  • Outdated and legacy readmission risk prediction models
  • Shortage of care workers focused on readmission prevention initiatives
  • Traditional practices that ignore real time data


Zasti’s Hospital Readmissions AI

Predicts readmission risk within 7, 30, 60 and 90 days of discharge

Provides insights into the primary reasons for the predicted results using explainable AI (xAI)

Analyzes large volumes of data including EHR systems



Hospital readmissions leading to lower annual healthcare costs and penalties


Identify right cohort of patients for follow-up care post discharge

Value Based Purchasing

Recommended interventions for hospitals to receive bonus under the VBP (value-based purchasing program) and improve patient care outcomes

Greater Accuracy

Than LACE score which suffers from high rate of false positive and false negative results

With over 10 Billion Healthcare Transactions, Zasti offers a broader range of solutions for your particular needs.

Make this data and AI provide value for you