39. Patient Level Simulation

This is the main section for various topics where we are going to describe how to build a Markov Patient Level Simulation model. This section describes the Monte Carlo simulation technique of Microsimulation which runs individual trial runs through the model. In healthcare models, these runs are usually individual patients facing health risks and receiving treatment. Running patients through a model allows you to define and update data related to individual patients (characteristics, events), allowing for more robust models.

There are many other important topics which add to this section, as listed below:

• Track the details of the patients proceeding through the model with: Patient Tracking Reporting for Microsimulation

• Learn about sensitivity on patient level simulation models: Sensitivity Analysis on Microsimulation models

• Run patients in parallel through a model at the same time: Synchronized Patient Simulation

• Run multiple simulations in a batch to determine if your results are stable: Batch Simulation

Whilst this section looks at patient level simulation models for Markov models, it is also possible to build Discrete Event Simulation models which are patient simulation models. More details can be found in Discrete Event Simulation (DES).