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Lookup NU author(s): Professor Ian Purves
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A major obstacle in deploying computer-based clinical guidelines at the point of care is the variability of electronic medical records and the consequent need to adapt guideline modeling languages guideline knowledge bases, and execution engines to idiosyncratic data models in the deployment environment. This paper reports an approach, developed jointly by researchers at Newcastle and Stanford, where guideline models are encoded assuming a uniform virtual electronic medical record and guideline-specific concept ontologies. For implementing a guideline-based decision-support system in multiple deployment environments, we created mapping knowledge bases to link terms in the concept ontology with the terminology used in the deployment systems. Mediation components use these mapping knowledge bases to map data in locally deployed medical record architectures to the virtual medical record. We discuss the possibility of using the HL7 Reference Information Model (RIM) as the basis for a standardized virtual medical record, showing how this approach also complies with the European pre-standard ENV13606 for electronic healthcare record communication.
Author(s): Johnson PD, Tu SW, Musen MA, Purves I
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Annual Symposium of the American-Medical-Informatics-Association (AMIA 2001)
Year of Conference: 2001
Publisher: B M J Group
Notes: Symposum Supplement
Library holdings: Search Newcastle University Library for this item
Series Title: Journal of American Medical Informatics Association