Applying our SynPath Simulator to a Diabetes Pathway

Exploration work into incorporating learning into a pathway simulator for diabetes. This work has fed our current SynPathGo project to create synthetic patient pathways and a foundation for agent based modelling in the NHS.

Figure 1: Table of learning algorithms considered for the simulation intelligence layer

Using the SynPath framework we created a diabetes simulation for 800 patients. These patients could interact within a fictional local area with hospitals providing outpatient and inpatient services, GP practices and community healthcare services.

Results

The project showed how to develop a set of environments, interactions and patients from academic literature, policy, and clinical resources. The model currently runs a simulation that prints outputs of patient records into the console.

Future collaboration around validation and how to apply learning algorithms are being pursued.

Output	Link
Open Source Code & Documentation	Github
Case Study	Awaiting Sign-Off
Technical report	Here