Treffer: Examining database persistence of ISO/EN 13606 standardized electronic health record extracts : relational vs. NoSQL approaches

Title:
Examining database persistence of ISO/EN 13606 standardized electronic health record extracts : relational vs. NoSQL approaches
Publication Year:
2017
Collection:
Universitat Autònoma de Barcelona: Dipòsit Digital de Documents de la UAB
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
ISSN:
28821246
85027502
14726947
Relation:
Instituto de Salud Carlos III PI12/00508; Instituto de Salud Carlos III PI15CIII/00003; Instituto de Salud Carlos III PI12/01476; Instituto de Salud Carlos III PI15CIII/00010; Ministerio de Economía y Competitividad PI12/01558; Ministerio de Economía y Competitividad PI12/01399; Ministerio de Economía y Competitividad PI15/00321; Ministerio de Economía y Competitividad PI15/00831; BMC Medical Informatics and Decision Making; Vol. 17 (August 2017), art. 123; https://ddd.uab.cat/record/253960; urn:oai:ddd.uab.cat:253960; urn:pmcid:PMC5563027; urn:pmid:28821246; urn:oai:pubmedcentral.nih.gov:5563027; urn:scopus_id:85027502270; urn:articleid:14726947v17p123
Rights:
open access ; Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ; https://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.436A656E
Database:
BASE

Weitere Informationen

The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic Health Record XML extracts, both in isolation and concurrently. NoSQL database systems have recently attracted much attention, but few studies in the literature address their direct comparison with relational databases when applied to build the persistence layer of a standardized medical information system. One relational and two NoSQL databases (one document-based and one native XML database) of three different sizes have been created in order to evaluate and compare the response times (algorithmic complexity) of six different complexity growing queries, which have been performed on them. Similar appropriate results available in the literature have also been considered. Relational and non-relational NoSQL database systems show almost linear algorithmic complexity query execution. However, they show very different linear slopes, the former being much steeper than the two latter. Document-based NoSQL databases perform better in concurrency than in isolation, and also better than relational databases in concurrency. Non-relational NoSQL databases seem to be more appropriate than standard relational SQL databases when database size is extremely high (secondary use, research applications). Document-based NoSQL databases perform in general better than native XML NoSQL databases. EHR extracts visualization and edition are also document-based tasks more appropriate to NoSQL database systems. However, the appropriate database solution much depends on each particular situation and specific problem.