For health plans and employers: how AI-driven early risk identification delivers claims-validated 5x ROI.
Musculoskeletal care is one of the largest and most variable expenses for employers and health plans. A significant share of that spend is driven by avoidable escalation into imaging, injections, and surgery, most of which can be prevented with early intervention.
This whitepaper explores how AI-driven early risk identification can help health plans and employers target high-risk members before escalation occurs, reducing low-value care and delivering measurable, within-plan-year savings.
Validated through a matched control study and independently reviewed by Milliman, this analysis gives finance and benefits leaders the evidence they need to act.
Checklist:
● Why surgical avoidance is the primary driver of savings
● How downstream utilization changes add up to predictable ROI
● How to interpret matched-control study findings through a financial and actuarial lens
● Why targeting high-risk members delivers greater savings than broad programs