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.

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

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

MGI (Genetics & Genomics)

  • 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

Clinical Reports & Notes

  • CXR radiology reports

  • Brain MRI radiology reports

Michigan Death Index

  • Date of death

  • Underlying cause of death

Mobile Health & Wearables

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.