COHORT
RLTX Cohort simulates patient populations and care networks in parallel. It models patient journeys, clinical decision dynamics, payer policy, and peer influence. You get probability distributions across uptake, prescribing, persistence, and access. You see what holds, what breaks, and what changes the call.
Health outcomes are not driven by intent. They are driven by systems.
Most planning is built on stated preference, small samples, and lagging dashboards. Those inputs are useful context, but they do not capture the forces that determine outcomes after launch. Prior authorization, step therapy, site of care, copay friction, prescribing habits, peer influence, evidence shifts, and competitive moves.
It does not behave like a static market. When one constraint changes, the network responds. What matters is not a single forecast. It is knowing the range of outcomes and the conditions that flip them before you commit resources.The infrastructure for that advantage now exists.
Patient Population Simulation. Simulate adoption, switching, persistence, and drop off across real patient journeys. Understand where uptake stalls and which interventions actually move behavior.
HCP Prescribing Dynamics. Model prescribing behavior driven by practice patterns, patient mix, habits, and peer influence. Identify who changes, who resists, and what triggers the shift.
Market Access and Payer Response. Simulate payer decision making across value arguments, evidence thresholds, and utilization management. See where access breaks down and which levers change coverage outcomes.
Pricing Strategy Testing. Test pricing and contracting scenarios against prescriber, patient, and payer response. Understand system wide impact before commitments are made.
Evidence and Influence Mapping. Model how information moves through HCP networks. Simulate how new clinical data changes prescribing over time and which nodes drive adoption.
Auditable Outcomes. Every result traces back to inputs, assumptions, and model versions. When leadership asks why a plan underperformed, you show the scenario path and the constraint that moved the outcome.
Commercial Teams · Forecasting and Analytics · Market Access · HEOR · Medical Affairs · Patient Services · Provider Strategy · Health Plans and PBMs · Public Health and Civil Agencies
Cohort models decisions as they happen in the real system. Patients, clinicians, and payers respond to incentives, constraints, information, and friction inside networks.
Calibrated on observed outcomes when available, including launch curves, prescribing behavior, access rules, and persistence patterns. Updated as new data arrives and conditions change. Designed to surface what matters, what is stable, and what is uncertain. Every cycle improves the model. Advantage compounds.
Research captures intent.
Cohort gives you the distribution, the decisive variables, and the scenarios where access, adoption, or persistence breaks.


From Claims to Outcomes
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