Aurora Health Care Data
Individual-level data from electronic medical records at Aurora Health Care, a large, not-for-profit, private health care provider in Wisconsin and Illinois.
Patient records from Aurora Health Care in Wisconsin and Illinois.
Access
Aurora Health Care data are available to researchers working with Aurora for a research project. Research projects must receive Research Administrative Preauthorization (RAP) before they can be submitted to the Institutional Review Board (IRB). If the researcher needs Aurora’s IRB approval, they need to follow the instructions for IRB approval process. If the researcher will use an external IRB, they must review the ceded research instructions. Transfer of data requires a data use agreement or non-disclosure agreement.
Timeline for Access
Aurora makes decisions on most RAP submissions within two to three weeks. Aurora will begin with the review of the researcher’s data needs at the same time that the IRB reviews the formal proposal.
Lag Time
Databases are updated with different frequencies. Data are stored in a variety of databases (a production database, data warehouse, or live interactive records viewer), which are dependent on the type and use case for the data.
Cost
Researchers may be required to reimburse Aurora for time spent by data analysts to retrieve and process data. The fee structure is not publicly available and is unknown. Aurora’s IRB may charge a fee depending on the study’s source of funding and risk level. Fees range from $1,000- $2,500. Any study that is ceded for IRB oversight to an external IRB will have a one-time fee of $1,500.
Linking
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Date of birth
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First and last name
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Social Security number
Data Contents
Aurora uses the EPIC Electronic Medical Record (EMR) system. A list of variables kept in EPIC can be found in the Stanford Research Repository (STARR) Data Dictionary, which is the Stanford Medicine's approved resource for working with clinical data for research purposes.
Partial List of Variables
The variables found on the EMR system include information on demographics, encounters, diagnoses, lab results, pathology reports, imaging reports, clinical documentation, and pharmacy orders.
J-PAL Randomized Evaluations Using this Data Set
Doyle, Joseph, Sarah Abraham, Laura Feeney, Sarah Reimer, and Amy Finkelstein. 2019. "Clinical Decision Support for High-cost Imaging: A Randomized Clinical Trial." PLoS ONE 14 (3): e0213373.