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OHDSI Lab Skills Workshop: Session 2

Interested in health data analytics and research? Looking for access to large-scale health data like EHRs and Medical Claims?

May 27

10:00 am12:00 pm

placeVirtual

Microsoft Teams Meeting

Speaker

Jonah Bradenday, OHDSI Lab Administrator

Description

Northeastern University has developed the OHDSI Lab, a secure, cloud-based platform that empowers independent researchers to analyze large-scale health data. The Lab environment provides access to IQVIA’s Pharmetrics Plus dataset, a longitudinal health plan database of adjudicated medical and pharmacy claims, including patient enrollment data with 215+ million enrollees since 2006. Each OHDSI Lab User is allocated a virtual Windows Workspace, where they can access the data and run analyses using a broad range of tools, including R/RStudio, Python, SQL, and ATLAS (the OHDSI community’s point-and-click cohort characterization tool). The OHDSI Lab is primarily designed for students and researchers conducting population health research, health economics outcomes research (HEOR), or pharmacoepidemiologic studies. 

The OHDSI Lab will host a series of virtual skills workshops this May and June that will introduce the concepts, tools, and initiatives supported by the OHDSI Lab for research projects. The workshops will be held across the following two-hour sessions.

  1. May 20, 2025: 10AM – 12PM: Introduction to the Data:
    • OHDSI and the OHDSI Lab
    • Navigating the OMOP Common Data Model
    • Defining clinical concepts using standardized vocabularies
    • Exercise: Create a concept set for a chosen clinical condition
  2. May 27, 2025: 10AM – 12PM: Graphical Interface Analyses Using ATLAS
    • Accessing ATLAS
    • Generating patient cohorts
    • Characterizing patient cohorts
    • Exercise: Characterize a cohort using ATLAS
  3. June 3, 2025: 10AM – 12PM: Using R Within the OHDSI Lab
    • Understanding HADES (Health Analytics Data-to-Evidence Suite)
    • Connecting to the OHDSI Lab database
    • Retrieving patient cohorts from ATLAS
    • Characterizing patient cohorts using HADES
    • Exercise: Characterize a cohort using HADES

This workshop is open to faculty, staff, and student researchers. If you are interested in attending, please fill out our interest form by Friday, May 9, 2025. If you have any questions about the OHDSI Lab Skills Workshop Series or general questions about the OHDSI Lab, please contact [email protected].

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