Paper Info
Title
Relational-like Query Language for Archetypes in Standardized Electronic Health Records Databases.
Abstract
The standardized Electronic Health Records (EHRs) database aims to support a web based data management system activity, at global level. The standardized EHRs (archetype-based systems) will have portable queries. At the present stage, a number of tools and interfaces are being proposed. However, it is important to develop a suitable query capability that matches the level of a database query language, such as SQL or XQuery. We demonstrate a high-level query language interface for healthcare workers based on our earlier studies. The development involves two phases. The first phase is dynamic generation of graphical user interface from archetypes. The second phase is providing high-level querying functionality. The system has been developed using free software and has been tested for sample set of fifteen queries for relational database operations using NoSQL persistence (MongoDB). The proposal is successful in enhancing the ease of use for hospital workers in medical and healthcare domain.
Year
DOI
Venue
2019
10.1145/3297001.3297039
COMAD/CODS
Keywords
Field
DocType
Archetypes, NoSQL Databases, Query-language interfaces, Standardized Electronic Health Records, openEHR
openEHR,SQL,Query language,Relational database,Computer science,NoSQL,Web application,Data management,Database,XQuery
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Shelly Sachdeva111217.13
Wanming Chu224038.44
Subhash Bhalla330084.64