Scientific Computing and Data / AIR•MS (AI Ready Mount Sinai) / Data2Evidence
Introduction to Data2Evidence
We are pleased to announce the deployment of Data2Evidence, a new cohort query tool developed by Data4Life to support research across Mount Sinai.
Datasets from across the Mount Sinai Health System are integrated through Artificial Intelligence Ready Mount Sinai (AIR·MS), a cloud-based, multimodal data platform. Using Data2Evidence, researchers can browse available datasets and request access to them.
The platform houses both structured and unstructured clinical data from a wide range of sources, including electronic health records, lab results, imaging metadata, and free-text documents such as clinician notes. It enables users to ingest data, monitor data quality, and store information with fine-grained access controls.
Researchers can define patient cohorts by filtering and grouping individuals based on specific attributes, enabling more efficient and targeted studies. Built-in notebooks allow users to run lightweight statistical analyses, with additional preconfigured and extensible analyses available through a plugin framework. Data2Evidence can be accessed here: https://d2e.airms.mssm.edu
Quick Start
- Click here to view a helpful video on how to get started with using Data2Evidence.
NEW! Data2Evidence Training – May 12 and 26 from 9:00-10:00 am EST – REGISTRATION NOW OPEN!
- In-Person; sessions 1 & 2 (Annenberg 10-70): https://forms.gle/1uFdEtsDj2BHwskr9
- Zoom Session 2: https://tinyurl.com/3sa3u734
We look forward to seeing you there!
Data2Evidence Documentation
This document provides a description of the features of the platform and explains how to use it: Data2Evidence User Guide
About Data4Life
To find out more about Data4Life please visit the link below: Data4Life – Digital solutions for a healthier world