PhD in Data-Driven Decisions for Urgent Care and Resource Allocation

This PhD project focuses on transforming urgent care patient outcomes and resource allocation for the Northern Ireland Ambulance Service (NIAS). The research aims to develop models that predict patient deterioration from emergency calls and determine optimal deployment strategies for advanced paramedic services. The successful candidate will work with large-scale operational data to address capacity challenges in a high-pressure healthcare environment. The project requires a strong foundation in mathematics and statistics, with an emphasis on predictive and spatio-temporal modelling.

• Develop predictive models to assess patient outcomes and deterioration rates from emergency calls.
• Design and implement strategies for the optimal deployment of advanced paramedic services.
• Apply machine learning and stochastic simulation techniques to real-world operational data.
• Collaborate with the Northern Ireland Ambulance Service to address capacity and demand challenges.
• Conduct rigorous data analysis to support evidence-based decision-making in emergency healthcare.