NHS Wales, the Cwm Taf Health Authority, is a child agency of the National Health Service in the United Kingdom. As healthcare services are vital features of our society today, it is important to be able to utilise their large inflow of data effectively. Previously NHS Wales would use patient ‘age’ data as their only way of categorisation; currently they have expanded to categorise patients based on previous health conditions and current ongoing conditions.

From current concerns raised by the Cwm Taf Health Authority, it is clear that there is an overstretch of resources for all its patient care and due to this problem, they want to find smarter ways to utilise their limited resources.

The aim of this project is to create and build model(s) to optimise finite resources that NHS Wales is currently experiencing. The aim of the data modelling is to also leverage more effective ways to improve data quality and therefore delivery of patient centred care. Using the model(s), I will identify patterns via Causal Predictive Behaviour Analysis to suggest potential policies. The project will be focused on data modelling, with the use of simulation modelling tools and java, as well as database import and retrieval. The simulation modelling tools will be evaluated, and most suitable choices will be used for qualitative and quantitative models. A potential stretch objective for the project will be to create interactive simulations from the model(s).

The data will be provided from NHS Wales, the Cwm Taf Health Authority, which will be imported into the necessary format to use when modelling. The technical advisor for the project will be Catherine Teehan, who is in close discussions with the Cwm Taf Health Authority.