title: A Survey of Standard Information Models for Clinical Decision Support Systems.
abstract: HL7 CDA, vMR, and openEHR archetypes have been utilized as standard information models for clinical decision support systems. Compared to openEHR archetypes, vMR typically requires less time to develop and extend which makes it a good fit for rapid prototyping and pilot projects, while openEHR archetypes handle the data and semantic specification better. Using CDA for clinical decision support systems is discouraged due to its complexity, steep learning curve, and potential safety issues.
authors.affiliation: School of Health Information Science, University of Victoria, Victoria, Canada.
authors.forename: Seyed Ali
authors.initials: SA
authors.lastname: Mussavi Rizi
authors.affiliation: School of Health Information Science, University of Victoria, Victoria, Canada.
authors.forename: Abdul
authors.initials: A
authors.lastname: Roudsari
mesh_terms: D020000:Decision Support Systems, Clinical; D006801:Humans; D016347:Medical Records Systems, Computerized; D010865:Pilot Projects; D012660:Semantics; D011795:Surveys and Questionnaires
keywords: CDA; Clinical decision support systems; openEHR archetypes; vMR