Predictive model reducing 30-day readmission rates by 18% for regional hospital network
We developed a custom predictive analytics platform for a 12-hospital network to identify high-risk patients and reduce preventable readmissions. The solution integrated data from 7 different clinical systems and applied machine learning models to predict readmission risks.
Consolidated 12M+ patient records from disparate clinical systems
Developed 3 proprietary ML models with 89% prediction accuracy
Designed physician-friendly interface integrated with existing EHR
Implemented HIPAA-compliant architecture with full patient privacy
Reduction in 30-day readmissions
Annual cost savings for network
Physician adoption rate
"Vistora's analytics platform has transformed how we care for patients. By identifying high-risk cases early, we're able to intervene proactively, improving outcomes while reducing costs. The system paid for itself within 6 months."
Dr. Harly Rodriguez