Data Science Day @ Columbia University

Observational Health Data Sciences and Informatics (OHDSI) is an open, multi-stakeholder, interdisciplinary collaborative whose goal is to create and apply open-source large-scale data analytic solutions to leverage the value of observational health data to improve health care globally. OHDSI spans an international network of researchers and health databases worldwide and is centrally coordinated at Columbia University. Currently, with a goal to reach 1,000,000,000+ patient records, the growing network of collaborators consists of 100+ academic, industrial, and regulatory researchers.    This year, the OHDSI community is showcasing a new open-source tool called ATLAS. It is a web application that attempts to integrate features from various OHDSI applications into a single cohesive experience for researchers. It will enable researchers to quickly test hypotheses. ATLAS allows researchers to explore summary statistics on various OHDSI databases, search medical terminologies in order to define clinical concepts, and define and visualize cohorts of interests.