CRI
Readiness Index
Run Simulation
Scenario Simulation Module · Patient Demand

Move the demand signals. Watch readiness respond.

Demo:Custom:
Therapy
VEXIRA-CT19
CAR-T · DLBCL
Negative demand signals (0 = none, 100 = severe)
Addressable patient population
Feed a direct number — weights self-calibrate
Addressable Population
Smaller addressable pool = thinner pipeline
40
Diagnostic infrastructure
Underdeveloped testing pathways
35
Referral leakage
Patients lost between community and CoE
65
Late-stage diagnosis dependency
Patients reach treatment too late
55
Low physician awareness
Limited referrer education / KOL voice
45
High patient attrition
Drop-off during workup / scheduling
60
Competing treatment paradigms
Established SoC erodes switching
70
Eligibility restriction burden
Narrow label / biomarker gating
55
Low epidemiological density
Patients spread thin geographically
35
Patient travel burden
Distance + cost of reaching CoE
55
Live Readiness
Recomputed in real time
Elevated Risk
51
CRI
Composite
Patient DemandDomain score
51
Adoption5-yr prob
57
Adoption Trajectory
5-year sustainability curve
Negative Knowledge Playbook
Mitigations for top demand signals
Open library
Competing treatment paradigms
Risk 70
  • Sharpen head-to-head durability and total-cost-of-care messaging.
  • Pre-wire sequencing guidance with treatment guideline committees.
Referral leakage
Risk 65
  • Deploy referral-tracking nurse navigators between community and CoE.
  • Close the loop with auto-status updates back to the referring physician.
High patient attrition
Risk 60
  • Compress workup-to-treatment timeline with bundled scheduling.
  • Add bridging therapy + patient logistics support to prevent drop-off.
Demand analogs from library
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