Patient-Level Simulation Models

Run Patient Simulation on your Markov model to simulate how individual patients may experience disease progression and treatments differently.

Each simulated patient runs through the model and experiences an individual series of events. Then the full set of patients is aggregated to mean values to determine the cost and utility impact on the relevant population.

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Individuals carry their own patient characteristics and patient history, which can impact important events within the model.

  • Patient Characteristics: gender, age, genetic marker, etc.

  • Patient History: immunity, resistance, adverse events, etc.

Any individual characteristic or event can affect a patient’s experience within the model.

Results can also be split to see how different subgroups could benefit from different treatment strategies.