1. only seeing Walk-up patients;
2. seeing Appointment patients and Walk-up patients if free;

The goal of this simulation study is to analyse the utilisation of the two doctors while ensuring that the patients’ quality of care remains consistent, i.e., still need to monitor the patient waiting times, time patients spend at the clinic, and how crowded the waiting room is. This analysis will include a comparison of the doctors’ utilisation.

1. Background – problem description
2. Objectives of the study
3. Expected benefits
4. The CM: inputs, outputs, content, assumptions, simplifications’
5. Experiments to run

Components 1 (Background – problem description) and 2 (Objectives of the study) are given in the Problem Description section (see paragraph describing the goal of the simulation study to identify study objectives).

The Expected benefits (component 3) are a virtual environment for evaluating the doctors’ roster as well as monitoring patient waiting times, total time patients spend in the clinic, and the number of patients waiting for treatment. This environment can be used to experiment with changes to the roster, including a comparison of effects on the doctors’ utilisation.

The CM content is specified using the following components:

1. Component List
2. Process flow diagram
3. Logic flow diagram
4. Activity cycle diagram

Component List

The components of the Extended Health Clinic model are:

• Walk-up patients with their (inter)arrival times
• Scheduled patients with their appointment times
• Triage nurses with their triage times
• Test nurses with their testing times
• Doctors with their roster and treatment times
• Waiting room with its capacity

Process Flow Diagram

Note that the process flow diagram stays the same as the only change will be which doctor is the Walk-up Doctor and which doctor is the Appointment Doctor.

Patient Logic Flow Diagram		Doctor Logic Flow Diagram
Nurse Logic Flow Diagrams

Activity Cycle Diagram

Once the content has been established (note this is usually an iterative process) we can identify the inputs:

• doctor roster, appointment times, interarrival times, triage times, test times, treatment times;

• doctor utilisation, waiting times for triage, testing, and treatment (i.e., Patient arrives to Nurse triages Patient, Nurse triages Patient to Nurse performs test on Patient, Nurse performs test on Patient to Doctor sees Patient, Nurse triages Patient to Doctor sees Patient, Patient arrives to Doctor sees Patient), total clinic time (Patient arrives to Outside), number in waiting room.

Assumptions are used to define stochasticity (e.g., Exponential interarrivals, Triangular treatment times) and the simplifications keep the system simple (e.g., nurses on all day for triage and testing, and treatment, no registration, no prioritisation).