Leveraging Proprietary Data & AI to Change the Landscape of Pediatric Hospitalizations: How Team Select helped our pediatric home healthcare clinicians keep critically ill children out of hospital through differentiated, technology-enabled care.
Team Select Home Care
About This Project
Summary
Team Select provides skilled nursing for in-home care for critically ill children. We set out to build an AI model that would surface patients at risk of hospitalization so we could intervene with targeted care, reducing total hospitalizations and reducing the length of stay for unavoidable hospitalizations. Our data analysis, data science, product, and clinical teams collaborated to ensure clinical relevance and transparency, and built a personalized model with daily alerts to case managers.
Goals & Objectives
Our aim was to meet both our primary goal of caring for our kiddos and keeping them at home and out of hospital, as well as proving to payors that this effort saves them money – thus earning value-based care contracts that better support our business and allow us to pay our nurses better as well.
Results & Impact
We did it! We project that we can prevent 609 hospitalizations/year with just the first version that covers 25% of our patients, and up to 2,500 hospitalizations/year when we expand to all patients. This will save payors $11M annually on the 609 hospitalizations saved, and up to $44M in the future.
JOIN THE NEWSLETTER