Therapeutic Inertia

The TherapeuticInertia component models the phenomenon where treatment algorithms deviate from clinical guidelines — for example, when a clinician does not escalate treatment even though guidelines recommend it.

How It Works

At setup, a single scalar value is drawn from a triangular distribution and exposed as the therapeutic_inertia attribute pipeline. This value represents the probability that treatment is not escalated during a healthcare visit, and remains constant for the entire simulation.

The triangular distribution is parameterized by three values:

  • triangle_min — lower bound of the distribution (default 0.65)

  • triangle_max — upper bound of the distribution (default 0.9)

  • triangle_mode — the peak (most likely value) of the distribution (default 0.875)

Configuration

configuration:
    therapeutic_inertia:
        triangle_min: 0.65
        triangle_max: 0.9
        triangle_mode: 0.875

Other components can consume the therapeutic_inertia pipeline to incorporate this probability into their treatment decision logic.

See Also