title: Supporting diagnosis and treatment in medical care based on Big Data processing.
abstract: With information and data in all domains growing every day, it is difficult to manage and extract useful knowledge for specific situations. This paper presents an integrated system architecture to support the activity in the Ob-Gin departments with further developments in using new technology to manage Big Data processing - using Google BigQuery - in the medical domain. The data collected and processed with Google BigQuery results from different sources: two Obstetrics &amp; Gynaecology Departments, the TreatSuggest application - an application for suggesting treatments, and a home foetal surveillance system. Data is uploaded in Google BigQuery from Bega Hospital Timişoara, Romania. The analysed data is useful for the medical staff, researchers and statisticians from public health domain. The current work describes the technological architecture and its processing possibilities that in the future will be proved based on quality criteria to lead to a better decision process in diagnosis and public health.
authors.affiliation: Department of Automation and Applied Informatics/University Politehnica Timişoara, Romania.
authors.forename: Oana-Sorina
authors.initials: OS
authors.lastname: Lupşe
authors.affiliation: Department of Automation and Applied Informatics/University Politehnica Timişoara, Romania.
authors.forename: Mihaela
authors.initials: M
authors.lastname: Crişan-Vida
authors.affiliation: Department of Automation and Applied Informatics/University Politehnica Timişoara, Romania.
authors.forename: Lăcrămioara
authors.initials: L
authors.lastname: Stoicu-Tivadar
authors.affiliation: Department of Obstetrics and Gynecology/University of Medicine and Pharmacy "Victor Babeş", Timişoara, Romania.
authors.forename: Elena
authors.initials: E
authors.lastname: Bernard
mesh_terms: D057225:Data Mining / Q000592:standards*; D016208:Databases, Factual / Q000592:standards*; D020000:Decision Support Systems, Clinical / Q000592:standards*; D003936:Diagnosis, Computer-Assisted / Q000592:standards*; D057286:Electronic Health Records; D005260:Female; D057208:Health Level Seven; D006801:Humans; D020407:Internet; D008297:Male; D009775:Obstetrics and Gynecology Department, Hospital / Q000592:standards*; D017410:Practice Guidelines as Topic; D013813:Therapy, Computer-Assisted / Q000592:standards*