Obtain a profile of patient issues for attending their GP and type of treatment provided by all General Practitioners in the district from GP records and codify to set codes.

Developed treatment classification system for 57,000 standard GP “Reason for Attendance” records by identifying the text information in the records that match medical concepts and mapping them to classification codes.

Provided Medicare Local information which enabled them to produce predictive analysis of potential treatment needs in hospitals and enabled Medicare Local to provide GP practices across the district to understand their work profile and optimise their resourcing.

Compilation of the typical profile of disease across a Primary Healthcare Network’s district so as to understand the work profile in the district and better plan their services.

Where important medical data is stored in unstructured text which needs to be searched, retrieved and automatically coded to provide accurate analysis, enable data analytics and perform predictive analysis.