Please use this identifier to cite or link to this item:
|Title:||Cohort identification for clinical research : querying federated electronic healthcare records using controlled vocabularies and semantic types|
|Authors:||Keung, Sarah N. Lim Choi|
Peterson, Kevin A.
Speedie, Stuart M.
Hobbs, F. D. Richard
Arvanitis, Theodoros N.
|Keywords:||Health services administration - Data processing - Great Britain|
|Abstract:||In the United Kingdom (UK), local initiatives have started to federate electronic healthcare records from different primary care clinical systems, mainly for the purposes of ensuring that health care services effectively meet the needs of the population. The use of such information is being investigated for clinical research, notably in patient cohort identification and recruitment. To achieve these aims, it is essential that the information from different systems can be searched from a single interface. While interoperability is a widely researched topic, interoperable methods and data sources in primary care are largely missing. This paper describes our approach to enabling primary care data in England to be searchable on a platform developed for performing large national collaborative primary care research studies throughout the United States|
|Appears in Collections:||Fulltext Publications|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.