Access Simulator
What if a payer removed a barrier? Model the patient and outcome impact
Scenario builder
Click a restriction to model its removal for that payer
| Payer | Step edit | Prior authorization | Specialist-only prescribing | Quantity limit | Tier placement | Released |
|---|---|---|---|---|---|---|
National PBM Plan A 14,200 affected · severity 82 | — | — | 0 | |||
Regional MA Plan B 9,800 affected · severity 74 | — | — | 0 | |||
Commercial Plan C 6,300 affected · severity 61 | — | — | — | 0 | ||
Large Employer Plan D 4,100 affected · severity 48 | — | — | — | 0 | ||
Regional Commercial Plan E 3,900 affected · severity 55 | — | — | — | 0 | ||
Medicaid MCO Plan F 2,700 affected · severity 69 | — | — | — | 0 |
Model assumption: a payer's affected patients are attributed equally across its restrictions. Hospitalizations avoided use the gap between the over-90-day and within-30-day profiles per 100 patient-years.
Affected patients: baseline vs scenario
Per payer segment (simulated Optum RWD)
iZO scenario explanation
What changed, the impact, and where to focus next
Remove at least one barrier above, then ask iZO to explain the scenario.
Saved scenarios and comparison
Saved in this browser only. Compare patient impact and hospitalizations avoided side by side.
| Scenario | Changes | Uptake | Released | Still affected | Hosp. avoided / yr | |
|---|---|---|---|---|---|---|
| Current (unsaved) | 0 | 100% | 0 (0.0%) | 41,000 | 0 |
No saved scenarios yet. Change the scenario above, name it, and save it to compare.
Hospitalizations avoided is an illustrative upper bound, not a forecast.
