How Cleveland Clinic Uses Predictive Analytics to Reduce Hospital Readmissions and Improve Patient Outcomes

By: GoBeyond Team
July 3, 2025
3 min read
Cleveland Clinic predictive analytics dashboard showing readmission risk scores

Quick Overview

Cleveland Clinic developed a predictive “readmission risk score” model using electronic medical record (EMR) data and 18 clinical and social variables to identify patients at high risk of hospital readmission within 30 days. The model supports personalized care planning and targeted interventions to reduce unnecessary readmissions, improve quality of care, and lower healthcare costs.

Cleveland Clinic
Cleveland Clinic
Company Size
~67,000 employees
Revenue Range
$12B+ annual revenue
Primary Challenge
Reducing hospital readmissions and optimizing patient care transitions
Key Metrics
\- 15.9% average 30-day readmission rate over 3 years\- 10% reduction in readmissions over 2 years\- Risk score identifies top 5% high-risk patients\- Consistent model performance across diagnoses and demographics

The Problem

High readmission rates increased costs and reduced patient satisfaction; manual risk assessment was inefficient

The Solution

Developed and continuously validated a predictive risk score model using EMR data, integrated into clinical workflows to guide discharge planning and follow-up

Results

\- Reduced readmissions by 10%\- Improved personalized care and resource allocation\- Enhanced physician awareness of readmission risks\- Maintained model accuracy during COVID-19 pandemic

“Our predictive model helps focus programs on patients who need them most, improving care and reducing costs.”

Dr. Anita Misra-Hebert, Director, Healthcare Delivery & Implementation Science Center

Details

Industry
Healthcare & Medical
Departments
Data & Analytics
Use Cases
Predictive Modeling
Tags
Machine Learning
Predictive Modeling
GenAI
AI Tools Used
No items found.
Sources
https://consultqd.clevelandclinic.org/model-reliably-predicts-risk-of-hospital-readmissionshttps://www.lerner.ccf.org/news/article/?title=Cleveland+Clinic+Model+Predicts+the+Risk+of+Hospital+Readmissions&id=43c100100acefa3fc8c2dbc0d6131cd262cbb8f5https://www.healthcareitnews.com/news/how-predictive-analytics-helped-reduce-readmissions-unitypoint-health

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