Mount Sinai Data Warehouse
Partnering with researchers and clinicians to effectively utilize Mount Sinai Health System data for translational and clinical research
Announcements
May 13, 2022 – MSDW Town Hall will be on Friday, May 27, at 12:00 PM. Click here to register; Zoom details provided following registration.
May 6, 2022 – TriNetX Application Trainings will be held throughout May. Click here for session descriptions, schedules, and registrations.
May 3, 2022 – Self-service cohort building now available for BioMe and the Imaging Research Warehouse 1.0. Click here for more information.
OMOP Query Tools
Leaf
A web-based query tool that easily creates patient cohorts from de-identified data using multiple clinical and demographic criteria. Request Access.
ATLAS
A web-based query tool that analyzes data standardized in the OMOP CDM format. Mount Sinai users must have a school account for access.
TriNetX
A web-based query tool that queries de-identified Epic data, including demographics, diagnoses, lab results and more. Request Access.
Data Sets
COVID-19 Data Sets
The de-identified COVID-19 data sets include all patients at a Mount Sinai facility who have been screened for or diagnosed with COVID.
Custom Data Request
The MSDW team will work with you to create a custom de-identified or PHI data set for your research or quality improvement project.
OMOP Data Marts
MSDW supports continually refreshed OMOP-formatted data marts of your research projects’ patient cohorts of interest.
Services
Data De-Identification Service
The data de-identification service ensures that all protected health information (PHI) identifiers have been masked or removed from a data set.
Enterprise Data Catalog
Enterprise Data Catalog (EDC) at Mount Sinai features a collaborative environment to share data and information.
Tools for OMOP
Open source software tools can be used with MSDW’s Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Acknowledge Mount Sinai in Your Work
All publications must include the following language in the acknowledgments section: “This work was supported in part through the Mount Sinai Data Warehouse (MSDW) resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai.”