A model-driven approach for representing clinical archetypes for Semantic Web environments.
The life-long clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use the Archetype Definition Language (ADL) to specify archetypes. However, ADL has some drawbacks when attempting to perform semantic activities in Semantic Web environments. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using the Ontology Web Language (OWL) instead of ADL are described and discussed in this work. Moreover, a solution combining Semantic Web and Model-driven Engineering technologies is proposed to transform ADL into OWL for the CEN EN13606 EHR architecture.
Martínez-Costa
Catalina
C
Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Campus de Espinardo, CP 30100 Murcia, Spain.
Menárguez-Tortosa
Marcos
M
Fernández-Breis
Jesualdo Tomás
JT
Maldonado
José Alberto
JA
D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D006801:Humans; D008490:Medical Informatics / Q000379:methods*; D016347:Medical Records Systems, Computerized; D011381:Programming Languages; D012660:Semantics; D018511:Systems Integration; D018875:Vocabulary, Controlled