The government provides full details of all NHS prescription data. It aims to gain spatial intelligence about the spatial / temporal patterns and costs of prescriptions. The reasons for this are 1) economic, relating to the spiraling costs of prescriptions, and 2) the very real and increasing threat of antibiotic resistance amongst the population. However, pseudo-anonymised individual prescription data are also available and these can provide much deeper insight into the wider socio-economic of prescribing.
This research will use data mining techniques to analyse high volumes of prescribing data (anonymised and pseudo-anonymised) within the context of geo-demographic information on population and social economic variables in order to examine:
To discuss the proposed research, please contact a.comber(at)leeds.ac.uk