Patient records contain a wealth of information that could be very useful to medical research. To make this information accessible to researchers, however, it must be extracted from what is often written text and presented in such a way that it can be compared with data from scientific and other databases. CLEF has developed techniques to capture relevant information from text automatically and enter it into a database. The project has also implemented stringent access control, authentication and secure transmission protocols using sophisticated encryption standards to protect against accidental disclosures.
Professor Alan Rector, CLEF's director, said: "The CLEF repository is optimised to treat electronic healthcare records as an interactive knowledge source for academic researchers and clinicians to help them access the latest medical information. Once fully deployed, it will lead to previously unthinkable, rapid advances in healthcare research by enabling researchers to analyse data stored in a wide range of geographically-spread databases, on-line."
Professor David Ingram's team at University College, London built the repository using a new method for importing and structuring data so that users can do population queries over longitudinal data sets. The CLEF repository supports the large-scale analysis of patient records in a Grid environment. It can handle complex queries, whilst retaining the critical semantic, structural and medic
Contact: Judy Redfearn
Engineering and Physical Sciences Research Council