Abstract：Complexity and continuous evolution of healthcare information is the biggest challenge for healthcare information systems. Twolevel information model from openEHR can facilitate healthcare information systems to adapt to the change of healthcare information requirements. Persistence methods
such as Node+Path promoted by openEHR and openEHR reference model object relational mapping (RMORM) cannot meet the performance requirements of clinical daily use. In this paper, we proposed a novel persistence method based on direct mapping between openEHR archetype and relational database by mapping archetype to data table and mapping archetype attribute to data table column, and designed an archetypedriven data persistence and data access platform. Based on the archetype relational mapping (ARM) method, we extended the archetype query language (AQL) by adding INSERT, UPDATE, and DETELE clauses to support full data manipulation. Results showed that, ARM is 69 times faster than Node+Path and 8 times faster than RMORM when querying 3 results in 1 231 records, and ARM is 2 times faster than Node+Path and 17 times faster than RMORM when querying 1 593 results in 128 141 records. With technics such as ARM and AQL, the data platform can achieve high performance while keeping the advantage of openEHR twolevel modeling in healthcare information expression, storage, and access.
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〖WTHZ〗Key words：〖WTBZ〗〖BP(〗┣┣（英）关键词┫┫〖BP)〗〖HT〗〖ST〗〖WT〗〖HJ〗〖HK〗
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WANG Li MIN Ling Tong LU Xu Dong* DUAN Hui Long. Archetype Relational Mapping Based on openEHR. journal1, 2014, 33(4): 432-437.
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