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4 of 10 How they work is governed by Policies and Levers: Levers - parameters which can be passed to any of the above three objects and used to modify their behaviour. These are often defined in the language of the decision, so an external user will understand what they do. Policies - monitor the value of metrics by checking whether they are defined within boundaries. In historical mode these function like boolean metrics, but in simulation mode they can be used to regulate the outputs of decisions and LLMs, preventing events they generate from causing a policy violation. The objects in this example are defined as follows: ⬥ Elements: patients with attributes, including their sex and their medical issue (a categorical variable) ⬥ Stages: emergency department (where patients go on arrival), Waiting for a bed (patients who have been admitted and are waiting for a bed), Ward Stages (a collection of stages, each one representing a ward) ⬥ Resources: ward “X” beds - the beds associated with ward “X” ⬥ Metrics: occupancy (the number of people across all of the ward stages) ⬥ Processes: patient arrivals (generates patients in line with historic admissions), Decision to admit (decides which patients to admit), Discharge (discharges patients according to attributes, and ward assignment) ⬥ Decisions: bed allocation that decides which patients to allocate to a ward 02.2. An example: patient flow in a hospital In this section we give an example of a patientʼs flow through a hospital. The CT diagram is below:

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