Reduce rehospitalizations with focused interventions
Increase census – identify at-risk patients early and treat in place
Better prioritize resources for patients most at risk for near-term decline
Improve quality of care and patient satisfaction
Strengthen preferred provider status with ACOs, BCPI providers and I-SNPs
Improve patient outcomes and quality of care at your organization
At SAIVA, we are approaching patient risk identification and stratification differently. Trying to use traditional Risk Score algorithms or similar methodologies to predict near term hospitalizations yields results that are no better than coin flips. SAIVA’s products and services are built on a machine learning platform using the latest technology to identify risk for your specific patient population.
Our customers realize significant increases in instances of treating-in-place, reductions in hospitalization, reduced RTH, and overall improvements in patient outcomes.
Contact SAIVA today to learn how you can begin to improve patient outcomes and quality of care at your organization.
Our Customers Love:
01.
Measurable improvement in patient outcomes and risk avoidance in weeks
02.
Simple to use, automated risk analyses delivered directly to your inbox
03.
Risk analysis specific to your patient population
Who We Serve
Telemedicine
Increase treat-in-place rates, reduce hospitalizations
Hospitals
Reduce rehospitalizations in your post-acute network
ACOs
Facilitate timely post-acute care patient risk identification
Home Health
Prioritize patients most at risk for decline