Health Data
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.
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Data Types | Accessing Our Data | Data Documentation
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
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
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
CXR radiology reports
Brain MRI radiology reports
Date of death
Underlying cause of death
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
Data Documentation
We provide a website site dedicated to explaining how to access, store, and use our data
Data Types
We have health data from over 5 million U-M Health patients. The data types available are listed below.
“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
Helpful Data Access Resource
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
Data Access
Accessing our 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 below and we’ll help you get started!
We’ll meet with you to understand your requesat and to make sure that we provide access to the data you need. We’ll even walk you through and demo deidentifiedDataDirect and deidentified RDW, our self-service tools that provide access to Michigan Medicine health data and MGI cohorts.
For more information, contact:
Cinzia Smothers, Director,
AI & Digital Health Data Solutions and
Research Implementation
“AI & Digital Health Innovation has been invaluable in our efforts to attempt to identify associations between genetic changes and response to psychotropic medications. The team is always so quick to answer questions and provide pharmacogenetics data in a format that is easy to use- I have no doubt they have enabled us to be much further in our research than we would be without their support.”
Kristen Ward, PharmD
Clinical Pharmacist - Ambulatory Psychiatry
Clinical Assistan Professor in Pharmacy
Data Documentation
We’ve developed detailed technical documentation to help you understand and access the data you are looking for as quickly as possible. Click on the button below to view our Data Details website.
If you need additional help, please contact us as we’ll meet with you to determine how we can best fulfill your data needs.Deidentified Health Data Details
For more information, contact:
Cinzia Smothers, Director,
AI & Digital Health Data Solutions and
Research Implementation
“The data documentation provided by AI & Digital Health Innovation for the Data Platform enabled me to find the exact data we were looking for. It’s a tremendous resource for anyone using the DeID RDW and DataDirect.”
Megan Haymart, MD
Nancy Wigginton Endocrinology Research Professor of Thyroid Cancer and Professor of Internal Medicine, Medical School.