MDClone is a free, secure, self-service platform that allows you to query Electronic Health Record (EHR) prior to receiving IRB approval. This is possible because MDClone generates computationally derived ("synthetic") data from the Institute for Informatics (I2) research data core (RDC). Since the data do not contain protected health information (PHI), their use is not classified as human subject research.
This webinar will include that absolute basics of MDClone:
- What is synthetic data?
- How can synthetic data help with your research?
- What types of EHR data can be queried within MDClone?
- How do I access the data?
Please note, this is a beginner level workshop. If you have experience in MDClone, this class may not be beneficial for you. Please email Chris Sorensen (email@example.com) if you are unsure if you should attend.
To receive access to MDClone, please see the Instructions for Requesting Access document.
Check out the publications listed below from Wash U colleagues who published findings using MDClone synthetic data:
- Spot the Difference: Comparing Results of Analyses from Real Patient Data and Synthetic Derivatives. JAMIA Open
- The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation. Frontiers in Digital Health
- Predicting Mortality among Patients with Liver Cirrhosis in Electronic Health Records with Machine Learning. PLoS One
- The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data. Journal of Medical Internet Research