%0 Journal Article
%T Over 70 Million Blood Analyses in Nearly 600,000 French Adults between 2010 and 2015 Methodology of the Rubidium Big Data Study
%A Abel Betraoui
%A Anna Szostek
%A Christophe Meune
%A Edith Martins-Meune
%A Emmanuel Sorbets
%A Fran£¿ois-Xavier Goudot
%A Maud Schwoerer
%A Nathalie Charnaux
%A Nicolas Dubois
%A Nicolas Garnier
%A Vincent Bonnivard
%J Open Access Journal of Cardiology | Pubmed Indexed Cardiology Journals
%D 2019
%R 10.15226/2374-6882/5/3/00153
%X Objectives: Biological tests are key in the management of many patients, but very little is known about their current use. Big data analytics allow learning from our practice. Methods: We conducted a registry from a real world dataset that included all analyses performed in a large subset of laboratories located in the French Brittany between February 17, 2010 and August 30, 2015. We collected the following data: a) demographic characteristics, b) lists of tests ordered and prescription date, c) lists of prescribing physicians, and d) tests results. Results: By September 2015, 22 laboratories were actively participating in the study, 7 in rural and 15 in urban areas. The aggregated data corresponded to raw data of 74,502,510 analyses performed in 585,745 distinct adult patients >20y. Male/female ratio was 0.73; mean age of the study population was 49.8y. Private laboratories performed 63% of the analyses, hospital-based laboratories performed 27% and 10% were performed by emergency medical facilities. Conclusions: This study will examine the current use of biological tests, especially biomarkers, with the goal to better understand physicians¡¯ knowledge of use of biomarkers, physicians¡¯ prescriptions habits, as well as the determination of observed concentrations across different subgroups of patients. Keywords: Big Data; Biomarkers; Medical Practice; Medical Registry
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