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.

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Our Customers Love:


Measurable improvement in patient outcomes and risk avoidance in weeks


Simple to use, automated risk analyses delivered directly to your inbox


Risk analysis specific to your patient population

Who We Serve

Skilled Nursing

Identify patients at risk for decline and hospitalization


Increase treat-in-place rates, reduce hospitalizations


Reduce rehospitalizations in your post-acute network


Facilitate timely post-acute care patient risk identification

Home Health

Prioritize patients most at risk for decline