Cordato Texas Medicaid Pilot — Predictive Health Intelligence
A statewide-ready, wellness-classification model for early detection of physiologic risk, reducing avoidable ER visits and hospitalizations.
The Problem
Texas Medicaid spends over $100M/year on RPM, but avoidable ER visits and hospitalizations remain high.
RPM alerts arrive after deterioration. Traditional systems detect problems too late.
Care teams are overloaded with late, noisy data that drives reactive responses.
Key Achievements / Fast Facts
How Cordato Works
Wearable signals
Pattern deviation
Risk forecast
Member + care team notification
Avoidable events reduced
What Cordato Provides
Predictive analytics using existing wearables
No EHR integration or device procurement
Wellness-classification technology (no CMS approvals needed)
Supports rural and hard-to-reach members
Reduces avoidable utilization
Pilot Structure
Population
5,000–20,000 Medicaid members
Duration
6–12 months
Data
Wearable signals + daily physiology
Activation
SMS onboarding → baseline → passive monitoring
Goal
Reduce avoidable utilization before clinical decline
Expected Impact
Based on early-warning research:
10–20% reduction in avoidable hospitalizations
8–15% reduction in preventable ER visits
Lower care management workload
Improved engagement and retention
Why Now
Texas Medicaid has rising utilization and cost pressures. Preventable hospitalizations and ER visits continue to drive spending despite significant RPM investment.
Cordato provides a no-infrastructure prevention layer that scales fast and aligns with CMMI innovation pathways. The wellness-classification approach requires no CMS approvals and can be activated statewide in 30 days.