Patient-Level Simulation Models

Expand the capabilities of your Markov model with Patient Simulation

  • Run Patient Simulation to model how individual patients may experience disease progression and treatments differently based on each individual’s characteristics and history.
  • Each simulated patient runs through the model and experiences an individual series of events.
  • The full set of patients is aggregated to mean values to determine the overall 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.