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Health Information Systems deal with a great volume of digital clinical data. Although this management has brought several advantages to the healthcare domain, a more intelligent management of those stored data can provide further benefits. In this paper we present a proposal which introduces two main new advantages to those Health Information Systems: First, the possibility of a semantic interoperability among them and second, the ability to share the medical knowledge generated by each system—or by specialized organizations. Our proposal makes use of an ontology to describe the terms used by the different Electronic Health Record standards and the terms used by specific Health Information Systems (not forcing them to use a fixed standard), and a reasoner that allows to interpret on the fly the data of a particular Health Information System by another one, even when they use different data representations. Moreover, our solution provides a rule-based formalism for representing medical knowledge of each system. Thanks to this representation, one system can benefit from the knowledge which is stored on other systems and that was not initially aware of.

FROM STORED CLINICAL DATA TO INTEROPERABLE CLINICAL KNOWLEDGE