
Deidentified Health Data of Michigan Medicine
We are the data powerhouse for U-M researchers needing deidentified health data.
We provide multimodal deidentified health data including electronic health records, geolocation data, medical images, clinical notes, and mobile health data on over 5 million U-M Health patients. Accessing this deidentified data is easy! Check out the DataDirect (requires network/VPN access) web Interface or request access to our deidentified Research Data Warehouse (deidentified 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 and Research Implementation Teams.
Allergies
Comorbidity indexes
Diagnosis encounter
Immunizations
Labs
Medication
Nursing flowsheets
Orders
Patient demographics
Patient medical/social History
Procedures
Rapid response and code events
Surescripts data
Genome-wide genotypes
HLA alleles
Polygenic risk scores
Whole exome sequences
Targeted sequences
Star alleles
Genomic variants
Genomic indicators
CMS Claims/Michigan Medicine EHR
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
Chest x-rays
Brain MRIs
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
CXR radiology reports
Brain MRI radiology reports
Date of death
Underlying cause of death
Helpful Data Resources
Data Direct
(requires network/VPN access)
A web interface tool for downloading
deidentified 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 AI & 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 AI & Digital Health Innovation infrastructure as I develop my research program!”
Allie Leis, PhD, MS
Research Assistant Professor, Epidemiology