A Survey of Standard Information Models for Clinical Decision Support Systems

被引：2

作者：

Mussavi Rizi, Seyed Ali ^{[1
]}

Roudsari, Abdul ^{[1
]}

机构：

[1] Univ Victoria, Sch Hlth Informat Sci, Victoria, BC, Canada

来源：

BUILDING CAPACITY FOR HEALTH INFORMATICS IN THE FUTURE | 2017年 / 234卷

关键词：

Clinical decision support systems; vMR; openEHR archetypes; CDA; ELECTRONIC HEALTH RECORDS; INTEROPERABILITY;

D O I：

10.3233/978-1-61499-742-9-249

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：249 / 255

页数：7

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