Accessing and aggregating legacy data sources for healthcare research, delivery and training

The aggregation of data from disparate sources offers clear benefits for healthcare researchers and practitioners. Such aggregation, however, must satisfy ethical, legal and social requirements: data ownership must be respected; patient privacy must not be compromised; data storage and transfer must be secure; etc. In this paper we describe the query aspects of sif (for service-oriented interoperability framework), a system which has been developed to support healthcare-related applications that depend upon the secure aggregation of data from multiple legacy databases. Importantly, the system allows the federation of data stored in varying database management systems utilising varying schemas.

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