Strengthening medical readiness through evidence-led planning

• Analysing the operational patient pathway across facilities, focusing on different types of beds (e.g., resuscitation, ICU). 

• Developing detailed models incorporating numerous variables (e.g., injury type, severity, and timing), supported by extensive data analysis from military and open-source data. 

• Leveraging algorithms to explore and enhance the robustness of the data, resulting in a dynamic simulation model. 

• Verifying and validating the CHIRON model to strengthen confidence in its outputs, and supported its use as an evidence base during MOD-wide wargames evaluating future force structures and investment options. 

• Enhancing the model with more detailed analysis of medical transport timelines and the integration of equipment calculations to better reflect end-to-end capability planning.
  

This model was integrated into a dashboard that visualises key metrics such as casualty severity, individual treatment requirements, and surgical prioritisation, while accounting for logistical constraints like bed availability and transportation. 

• Provided actionable insights into improving hospital configurations, bed allocations, and evacuation strategies. 

• Enabled simulations of various scenarios (e.g., hospital attacks, surges in specific treatment needs) to inform emergency preparedness and response efforts, ultimately improving patient survival rates. 

• Supported medical planners in understanding how NHS and deployed Defence medical systems interact during large-scale casualty events, strengthening preparedness and informing national-level medical planning.