Mount Sinai Data Warehouse
Partnering with researchers and clinicians to effectively utilize Mount Sinai Health System data for translational and clinical research
July 13, 2023 – We are pleased to announce two new features added to the Leaf cohort query tool: a new Timelines feature and an improved lab results concept category. A guide for using Timelines is available here. The concept category currently named Lab Results (LOINC) has been updated to: Lab Results and Measurements, and concepts that do not have any measurements associated with them or any of their descendants have been removed. Users can now define specific values or ranges (i.e. equal to, greater than, less than, etc) for lab results or measurements in their query.
March 8, 2023 – Computational and data science ecosystem is available for Oncology researchers to gain insights to further their research. There are HP resources, EHR cohort query tools, data resources and electronic data capture systems available here. Expertise is available to support researchers with tools, data access, and consultations.
February 23, 2023 – Thank you to those who attended the introductory training session for Leaf and ATLAS cohort query tools today! Please see the PowerPoint Slide Deck and the session’s Video Recording. You can review all previous session materials on our Training and Tutorials page.
January 5, 2023 – Save the date: Mount Sinai Data Warehouse’s Town Hall will be Tuesday, May 2, at 11:00 AM. Registration and details coming soon.
December 28, 2022 – Interactive training courses for Leaf and ATLAS are now available in PEAK! “Leaf Application Training: Introduction” provides an overview of Leaf access and functions, and “ATLAS Query Application Introduction Training” navigates step-by-step instructions for beginner ATLAS users.
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.”
Supported by grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health.