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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Quasi-Relational Query Language Interface for Persistent Standardized EHRs: Using NoSQL Databases
verfasst von : Aastha Madaan, Wanming Chu, Yaginuma Daigo, Subhash Bhalla
Erschienen in: Databases in Networked Information Systems
Verlag: Springer Berlin Heidelberg
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Interoperability of health data for information exhange is an area of growing concern. Various new standards such as CEN 13606, HL7 and OpenEHR have been proposed. The OpenEHR standard provides a Standardized Electronic Health Records (EHRs) schema using dual-level modelling for information exchange. The complex structured EHRs and the archetypes form the domain knowledge of the model. It gives rise to the issue of efficient and scalable persistence mechanism for these standardized EHRs. Further, it is desirable to support in-depth query-ability on them. The standardized EHRs database can support a wide range of user queries. In this paper, a persistence mechanism using a NoSQL database for storing the standardized EHRs has been proposed. Further, a high-level QBE-like AQBE (Archetype based Query-By-Example) has been evolved for the EHRs data repository.