Hospital Readmissions AI

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

Challenge

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  • Outdated and legacy readmission risk prediction models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

Solution

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

Advantages

Reduced

Hospital readmissions leading to lower annual healthcare costs and penalties

Target

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