Files:DescriptionFile size FormatBrowse
Fulltext0.75 MBPDF (requires Acrobat Reader)Previous | Next
  
Authors:Sergio Miranda Freire: Department of Biomedical Engineering, Linköping University, Linköping, Sweden
Erik Sundvall: Department of Biomedical Engineering, Linköping University, Linköping, Sweden
Daniel Karlsson: Department of Biomedical Engineering, Linköping University, Linköping, Sweden
Patrick Lambrix: Department of Computer and Information Science, Linköping University, Linköping, Sweden
Publication title:Performance of XML Databases for Epidemiological Queries in Archetype-Based EHRs
Conference:Scandinavian Conference on Health Informatics 2012; October 2–3; Linköping; Sverige
Publication type: Abstract and Fulltext
Issue:070
Article No.:009
Abstract:There are very few published studies regarding the performance of persistence mechanisms for systems that use the openEHR multi level modelling approach. This paper addresses the performance and size of XML databases that store openEHR compliant documents. Database size and response times to epidemiological queries are described. An anonymized relational epidemiology database and associated epidemiological queries were used to generate openEHR XML documents that were stored and queried in four opensource XML databases. The XML databases were considerably slower and required much more space than the relational database. For population-wide epidemiological queries the response times scaled in order of magnitude at the same rate as the number of records (total database size) but were orders of magnitude slower than the original relational database. For individual focused clinical queries where patient ID was specified the response times were acceptable. This study suggests that the tested XML database configurations without further optimizations are not suitable as persistence mechanisms for openEHR-based systems in production if population-wide ad hoc querying is needed.
Language:English
Keywords:Medical Record Systems; Computerized; Database Management Systems; Archetypes; XML Databases; openEHR
Year:2012
No. of pages:7
Pages:51-57
ISBN:978-91-7519-758-6
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/070/009/ecp1270009.pdf
Available:2012-09-28
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Sergio Miranda Freire, Erik Sundvall, Daniel Karlsson, Patrick Lambrix (2012). Performance of XML Databases for Epidemiological Queries in Archetype-Based EHRs, Scandinavian Conference on Health Informatics 2012; October 2–3; Linköping; Sverige http://www.ep.liu.se/ecp_article/index.en.aspx?issue=070;article=009 (accessed 10/31/2014)