An Archetype Query Language interpreter into MongoDB: Managing NoSQL standardized Electronic Health Record extracts systems
作者: Miguel RamosRicardo Sánchez-de-MadariagaJesús BarrosLino CarrajoGuillermo VázquezSantiago PérezMario PascualFernando Martín-SánchezAdolfo Muñoz-Carrero
作者单位: 1Advances in Telemedicine and Health Informatics (ATIS), Biomedical Research Institute of A Coruña (INIBIC), A Coruña, Spain
2Telemedicine and and eHealth Research Dept., Instituto de Salud Carlos III (ISCIII), Madrid, Spain
刊名: Journal of Biomedical Informatics, 2020, Vol.101
来源数据库: Elsevier Journal
DOI: 10.1016/j.jbi.2019.103339
关键词: Information storage and retrievalHealth information interoperabilityDatabasesManagement information systemsMedical record systemsElectronic Health Records
原始语种摘要: Abstract(#br)The fast development of today’s healthcare and the need to extract new medical knowledge from exponentially-growing volumes of standardized Electronic Health Records data, as required by studies in Precision Medicine, brings up a challenge that may probably only be addressed using NoSQL DBMSs, due to the non-optimal performance of traditional relational DBMSs on standardized data; and these database systems operated by semantic archetype-based query languages, because of the expected generalized extension of standardized EHR systems. An AQL into MongoDB interpreter has been developed to its first version. It translates system-independent AQL queries posed on ISO/EN 13606 standardized EHR extracts into the NoSQL MongoDB query language. The new interpreter has the advantages of...
全文获取路径: Elsevier  (合作)
影响因子:2.131 (2012)

  • standardized 用标准校验(了)的标准化(了)的
  • information 报告
  • systems 系统科学与软件
  • retrieval 检索
  • extracts 摘记
  • interpreter 解释程序
  • record 唱片
  • storage 蓄水量