Achieving Clinical Statement Interoperability Using R-MIM and Archetype-Based Semantic Transformations

Date

2009-07-01

Author

Kılıç, Özgün Ozan

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Effective use of electronic healthcare records (EHRs) has the potential to positively influence both the quality and the cost of health care. Consequently, sharing patient's EHRs is becoming a global priority in the healthcare information technology domain. This paper addresses the interoperability of EHR structure and content. It describes how two different EHR standards derived from the same reference information model (RIM) can be mapped to each other by using archetypes, refined message information model (R-MIM) derivations, and semantic tools. It is also demonstrated that well-defined R-MINI derivation rules help tracing the class properties back to their origins when the R-MIMs of two EHR standards are derived from the same RIM. Using well-defined rules also enable finding equivalences in the properties of the source and target EHRs. Yet an R-NUM still defines the concepts at the generic level. Archetypes (or templates), on the other hand, constrain an R-MINI to domain-specific concepts, and hence, provide finer granularity semantics. Therefore, while mapping clinical statements between EHRs, we also make use of the archetype semantics. Derivation statements are inferred from the Web Ontology Language definitions of the RIM, the R-MIMs, and the archetypes. Finally, we show how to transform Health Level Seven clinical statement instances to EHRcom clinical statement instances and vice versa by using the generated mapping definitions.

Subject Keywords

Archetypes, Clinical document sharing, eHealth, EHRcom, Health Level Seven (HL7) clinical document architecture (CDA), Integrating healthcare enterprise (IHE) profiles, Semantic interoperability

URI

https://hdl.handle.net/11511/29862

Journal

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

DOI

https://doi.org/10.1109/titb.2008.904647

Collections

Graduate School of Informatics, Article

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Citation Formats

Ö. O. Kılıç, “Achieving Clinical Statement Interoperability Using R-MIM and Archetype-Based Semantic Transformations,” IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, pp. 467–477, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/29862.