Evidence in Hand
What We Know
All numbers modelled from published South African data. Real figures come from a pilot with your claims.
The Data
- 39% medication adherenceAmong SA diabetes patients (Owolabi & Ajayi, 2024)
- 4.5% to 12.7%Diabetes prevalence rose in SA (2010-2019)
- ~R300K/yearRenal dialysis endpoint — per patient
- ~R22K/patient/yearNon-adherence compounding cost (transport, wages, duplicate scripts, avoidable admissions)
- 9% vs 4.4%Healthcare spend growth vs. contribution growth (CMS)
What We'd Need From You
- Actual dual-diagnosis (HIV + diabetes/hypertension) count across your book
- Current script pick-up rate and average clinic visits per CDL member
- Claims cost distribution — top 5% of chronic members vs. average
- Rx Health / 360 Platform integration architecture (FHIR readiness?)
- Appetite for a 50-person employee-dependents pilot
We're not here with answers. We're here with a hypothesis and the tooling to test it — together, in 30 days, with your data.
Three Scenarios
Scaled to What We Validate
All numbers modelled from published SA data. Real figures come from a pilot with your claims.
Low Road
R5.5M
projected annual savings
Patients500
Script pickup65% → 73%
Avoided admissions25
Pilot investmentR800K
ROI6.9×
Cautious: smallest plausible CDL cohort, modest gains
Base Case
R20M
projected annual savings
Patients1,200
Script pickup65% → 80%
Avoided admissions72
Pilot investmentR1.5M
ROI13×
Published evidence median applied to your member profile
High Road
R44M
projected annual savings
Patients2,000
Script pickup65% → 83%
Avoided admissions140
Pilot investmentR3M
ROI15×
Full cohort, strong adoption, prevention of downstream renal cases