Research Data
PACS Images
Chest x-rays
Brain MRIs
Surveys
MGI epidemiological questionnaire
MGI pain survey
MGI Covid-19 survey
MM patient questionnaire/social determinants of health
MY PART
Prechter study longitudinal surveys
PROMPT study
We are the data powerhouse for researchers needing de-identified health data.
We have health data from over 5 million patients. Accessing this data is easy! Check out the Data Direct web Interface or request access to our De-Identified Research Data Warehouse (deID-RDW) to access and query the database tables directly. Click the “Request Data Consult” button above and we’ll help you get started!
For more information, please contact Cinzia Smothers, Director of our Data Solutions Team.
Electronic Health Records
Allergies
Comorbidity indexes
Diagnosis encounter
Immunizations
Labs
Medication
Nursing flowsheets
Orders
Patient demographics
Patient medical/social History
Procedures
Rapid response and code events
Pharmacy Fulfillment
Surescripts data
Genetics & Genomics
Genome-wide genotypes
HLA alleles
Polygenic risk scores
Whole exome sequences
Targeted sequences
Star alleles
Genomic variants
Genomic indicators
Medicare Claims
Carrier
Home Health Agency
MBSF (Base)
MedPAR
Geolocation/Socioeconomic Status
Affluence index
Disadvantage index
Education index
Ethnic Immigrant index
Neighborhood parks
Neighborhood affluence
Street connectivity
Address history
Urbanicity
Broadband internet access
Groceries
Healthcare
Land cover
Liquor/tobacco stores
Convenience stores
Helpful Data Resources
Data Direct
A web interface tool for downloading
de-identified data
Data Platform Documentation
A site dedicated to explaining how to access, store, and use our data
Encore
Used to provide genetic plots and analysis summaries for phenotype/EHR data
“The research data available through Digital Health Innovation, particularly the linkage between EHR and genetic data data, have allowed me to dive into research questions of great interest with a dizzying array of measures available. As an early career investigator, I look forward to continuing to utilize many aspects of the Digital Health Innovation infrastructure as I develop my research program!”
Allie Leis, PhD, MS
Research Assistant Professor, Epidemiology