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.

 

Data2Evidence Cohort Query Tool Training

May 2026

We’re excited to invite you to explore Data2Evidence, a new tool designed to support and enhance clinical cohort discovery and analysis workflows.
 
Training slides and recordings from our two most recent sessions are now available here:
 
Session 1 (SLIDES) (VIDEO RECORDING)
Data2Evidence can be accessed at https://d2e.airms.mssm.edu by all existing Mount Sinai and Icahn School of Medicine users on site or via VPN. It does not require separate registration currently.
 

 

Data2Evidence Documentation

This document provides a description of the features of the platform and explains how to use it: Data2Evidence User Guide

Data2Evidence release notes can be found here: Data2Evidence Release Notes | Scientific Computing and Data

 

About Data4Life

To find out more about Data4Life please visit the link below: Data4Life – Digital solutions for a healthier world