Driving Real-World Clinical Research with Synthetic Data

February 25, 2021, 12:00 pm — 1:00 pm

Join us to hear two researchers from Washington University School of Medicine in St. Louis, Dr. Randi Foraker, Associate Professor of Medicine, and Dr. Jacob Greenberg, Clinical Fellow in Neurosurgery. During this webinar, hosted by Dr. Jon D. Morrow, MDClone’s Senior Vice President and Physician Executive, they will describe synthetic data and discuss two pivotal studies validating its use.

Study #1: Dr. Randi Foraker – Using MDClone, Dr. Foraker studied 30-day mortality among heart failure patients, applying machine and deep learning approaches to these data to compare analytic tools and techniques.

Study #2: Dr. Jacob Greenberg – Utilizing synthetic data to study 30-day readmission after spine fusion surgery, comparing both descriptive data and predictive models to real patient data to validate the performance of the MDClone platform.

What is Synthetic Data?
Synthetic data may provide a solution to researchers who wish to generate and share data in support of precision healthcare. Recent advances in data synthesis enable the creation and analysis of synthetic derivatives as if they were the original data; this process has significant advantages over data deidentification.

What is MDClone?
The Institute for Informatics (I2) implemented the MDClone platform in 2018, and conducted a landmark study validating that synthetic data produces the same results as original data while maintaining data privacy. MDClone is a free, secure, self-service platform for building queries and downloading computationally derived (“synthetic”) data from the institute’s research data core (RDC). Since the data do not contain protected health information (PHI), their use is not classified as human subject research.

Register now to learn about new avenues for collaboration and discovery for the benefit of patients everywhere.

For more information, please contact Alicia Cicerelli at acicerelli@wustl.edu.