At IU School of Medicine, we leverage real-world evidence (RWE) to understand how medical treatments and interventions perform in everyday clinical practice. Unlike traditional clinical trials, RWE studies analyze data collected from diverse sources like electronic health records, health surveys, clinical studies and patient registries, providing vital insights into patient outcomes and healthcare effectiveness in real-world settings.
Data accessed by IU School of Medicine students and researchers through the RWE DataLab is sourced from nationally deployed HIPAA-compliant electronic health record systems through a collective network of 37,000 community-based primary care and specialty care providers across all 50 states. The real-world data has been de-identified and certified by independent expert determination with 99.7% efficacy.
IU School of Medicine Researchers currently have access to two national datasets through the RWE DataLab:
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RWE Psychiatry Data
The IU School of Medicine Psych Dataset is one of the largest in the U.S., encompassing more than 4.8 million patients with up to 20 years of longitudinal structured data as well as all clinical notes. -
RWE Cardiology Data
Considered one of the richest real-world datasets of its kind in the U.S., the IU School of Medicine Cardiology Dataset contains up to 20 years of longitudinal de-identified data for nearly 3.5 million patients across more than 45 million encounters.
Transforming real-world insights into practice-changing medicine
Available to all IU School of Medicine students, residents and faculty, the RWE DataLab was designed with the goal of accelerating the discovery of meaningful insights into practice-changing research and medicine. IU School of Medicine researchers can utilize the RWE DataLab to build patient cohorts and extract desired data elements from licensed RWE datasets in support of scholarly articles, poster presentations and grant submissions.
