A wellness-classified "health forecast" layer predicting physiologic risk before symptoms.
Cordato proposes a national preventive signal layer that detects physiologic stress 48–72 hours before symptoms. It uses wearable signals members already own to forecast rising risk and reduce avoidable hospitalizations. No billing-code changes or benefit redesign required. Works across ACA, Medicaid, and Medicare without altering statutory benefits.
Wearables and home devices generate constant data, but little becomes early, actionable prediction.
High costs stem from preventable inpatient and ED events that programs could see in advance.
ACA premiums, state Medicaid budgets, and Medicare sustainability are strained by preventable deterioration.
A national forecast layer that ingests signals, builds baselines, detects trend breaks, and triggers earlier care.
Cordato requests a confidential 30-minute briefing with CMMI leadership to review the Texas Pathfinder pilot and discuss model development.
Texas pilot generates evidence for national scaling.
Reduces catastrophic claims.
Detects chronic deterioration earlier.
Metrics: Reduced hospitalizations/ED visits; total cost of care movement; chronic-condition detection; care-management workload; member experience and equity.
Signals only, no diagnosis or claims; user-controlled sharing.
Works with low-cost devices; supports rural members, caregivers, and aging populations.