Lay summary
Digital twins combine data science, simulation modelling and artificial intelligence to provide decision makers with a digital copy of their real-world system. Using this digital “petri dish”, decision makers can: 1) observe the complexity of their system as it unfolds, and better understand system behaviour; 2) identify downstream problems before they occur; and 3) experiment with changes to the system and explore their effect. The digital twin paradigm is especially important for systems such as healthcare where individual components, e.g., healthcare services, are autonomous and it is unclear how changes to one component affects the rest of the system. This project takes the important first steps for building a digital twin of the Te Manawa Taki | Midlands Region healthcare system, namely: 1) development of a conceptual model of Te Manawa Taki | Midlands; 2) identification of key datasets; and 3) pathway discovery on the datasets to validate and update