ATLAS Clinical Data Discovery Tool
ATLAS is your gateway to real-world clinical data. Use ATLAS to explore Indiana’s largest clinical database and support your research.
About ATLAS
The INPC-OMOP ATLAS Clinical Data Discovery Tool is like a specialized search engine for health data.
It is a secure, web-based tool that uses a standard format called Observational Medical Outcome Data, or OMOP. You can use it to explore information from the Indiana Network for Patient Care (INPC), which brings together medical records from about 29 million patients from hospitals and clinics across the state. To make this data easier to use, the Regenstrief Institute organized data from the INPC into ATLAS.
Think of OMOP as a common structure or blueprint that makes health data consistent and searchable, and ATLAS as a powerful search and analysis system.
Researchers can use ATLAS to run studies using standardized research methods; search for specific conditions (for example, diabetes or stroke); identify groups of patients who meet certain criteria; and explore trends in medications, lab results, or outcomes.
With ATLAS, you don’t need to spend your time looking through raw medical records.
What is the Indiana Network for Patient Care?
The Indiana Network for Patient Care (INPC) is a large health database that brings together medical information from hospitals, clinics, and other healthcare providers across Indiana. It includes information like demographics, diagnoses, lab results, procedures, medications, and visits — all combined to support research and improve healthcare.
Use ATLAS to plan your research
ATLAS is designed to help you move from a research idea to a concrete study plan using real-world examples. Researchers can use ATLAS for:
- Building study cohorts: Define a precise group of patients based on specific conditions, medications, lab results, and age ranges to identify the right population for analysis.
- Early hypothesis checks: Quickly estimate patient counts to see if your research question is practical. Example: “Are there enough pediatric patients with asthma who also have a recorded BMI over the 95th percentile to conduct a meaningful study?”
- Grant feasibility: Check if there are enough patients who meet your criteria before you launch a full project. Example: “How many patients in the database have both a diagnosis of Hypertension and a prescription for Lisinopril?”
Who has access to ATLAS?
Access to ATLAS is available for faculty, trainees, staff and students at Indiana University who connect on the IU network or through the IU VPN. Researchers at other Indiana CTSI institutions, such as University of Notre Dame or Purdue University, can also access ATLAS if they have an IU affiliate account.
Access to ATLAS
To access ATLAS, you must have:
- Access to a secure internet connection, either through the IU network or IU VPN. Ff you do not have access to the IU VPN, click here for instructions.
- Certificates of completion for the following trainings:
HIPAA Training at IU
CITI’s Biomedical Researcher Training
Please complete the online request form. You need your IU log in credential to access this form.
- Login using your IU credentials
- Read and accept the Data Use Conditions (formal promise that researchers will use sensitive health data only for approved research, keep it secure, and protect patient privacy).
- Select “Data Source” “INPC OMOP (OHDSI ATLAS)”
- Select your research role in your institution
- Select your “Institute” if your primary appointment is somewhere other than IU or IU Health. You will an affiliate IU email account.
- Work phone number
- Your HIPAA Training at IU and CITI’s “Biomedical researcher” (any stage) certificates, as well as training expiration dates for these certifications, must be uploaded/entered.
- Then, hit the “Create” icon.
Once approved, you will receive an email confirming access.
If you are requesting access to other data sources brokered by the Regenstrief Institute’s Data Services team, you will need to complete a separate Data Access Form.
You must be connected through an IU network or IU VPN to log on to ATLAS.
Follow the link above to log in to Atlas. Click on the “Sign In” button in the upper right, select “CAS,” and log in using your IU credentials.
If you have issues with your IU network connection or IU VPN, please contact HTShelp@iu.edu or your desktop support provider.
If you have issues connecting to ATLAS or questions about working with ATLAS, please contact riiatlas@regenstrief.org.
Training on the ATLAS system
Watch this video to learn about using ATLAS to assess research feasibility means checking whether enough patients meet your study criteria before launching a full project. Researchers can quickly estimate patient counts based on diagnoses, medications, labs, and other factors. This helps determine if the study is practical and ether the available data can support the research question.
Watch this video to learn about Building study cohorts in ATLAS means creating a group of patients who meet specific criteria for a research study. Researchers define conditions such as diagnoses, medications, lab results, age ranges, and time periods to identify the right population. ATLAS then searches for the standardized clinical data and generates the group for analysis in a secure environment.
Explore EHDEN Academy to get some basic training on how health data is organized using the OMOP data model. It explains how ATLAS can be used to search clinical data and build patient groups for research. The tutorials help researchers understand and use real-world healthcare data more effectively.
If you need some additional training on how to navigate the ATLAS system, please contact datainfo@iu.edu.