Research IT and Precision Medicine IT team members have enabled six pilot projects across the university to work with the Johns Hopkins Aggressively Deidentified Dataset (JH-ADDS). JH-ADDS contains de-identified patient data from Epic’s electronic medical record that is mapped into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). OMOP is a widely used system that helps organize and format health data in a standard way to support research data analysis. The dataset is restricted to patients with longitudinal activity who do not have rare diseases or conditions. After completion of the pilot phase, JHU faculty and their students will be able to access this dataset under restricted conditions without IRB or Data Trust review. JH-ADDS is hosted in Azure Databricks, a unified data analytics platform that allows users to efficiently store, process, and analyze large volumes of data.
