A Multilevel Composability Model for Semantic Web Services
IEEE Transactions on Knowledge and Data Engineering
Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL
Knowledge-Based Systems
Exploiting OWL reasoning services to execute ontologically-modeled clinical practice guidelines
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
A pattern-based knowledge editing system for building clinical Decision Support Systems
Knowledge-Based Systems
Short Communication: S-Trans: Semantic transformation of XML healthcare data into OWL ontology
Knowledge-Based Systems
How to Measure the QoS of a Web-based EHRs System: Development of an Instrument
Journal of Medical Systems
SAMS --- A Systems Architecture for Developing Intelligent Health Information Systems
Journal of Medical Systems
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There is still a lack of full integration between current Electronic Health Records (EHRs) and medical guidelines that encapsulate evidence-based medicine. Thus, general practitioners (GPs) and specialised physicians still have to read document-based medical guidelines and decide among various options for managing common non-life-threatening conditions where the selection of the most appropriate therapeutic option for each individual patient can be a difficult task. This paper presents a simulation framework and computational test-bed, called V.A.F. Framework, for supporting simulations of clinical situations that boosted the integration between Health Level Seven (HL7) and Semantic Web technologies (OWL, SWRL, and OWL-S) to achieve content layer interoperability between online clinical cases and medical guidelines, and therefore, it proves that higher integration between EHRs and evidence-based medicine can be accomplished which could lead to a next generation of healthcare systems that provide more support to physicians and increase patients' safety.