Research powered by MDClone was spotlighted at the recent 2021 Annual Symposium of the American Medical Informatics Association (AMIA), held in San Diego, Calif., in early November.
The ground-breaking research related to the COVID-19 pandemic further validates the use of synthetic data in real-world use cases.
Three abstracts were accepted to the Symposium and presented to informatics leaders from across the world at last month’s event. The research described cutting-edge COVID-19 research through the use of synthetic data and was presented in partnership with the National Institutes of Health (NIH) and Washington University in St. Louis.
MDClone had a major presence at the symposium. As the event’s Premier Sponsor, MDClone presented an industry-sponsored lecture, participated on an informatics advisory panel executive-level discussion, and presented an unprecedented three peer-reviewed papers in the scientific sessions.
Professor Adam Wilcox, Director of the Center for Applied Clinical Informatics at Washington University in St. Louis, presented work done by the NIH National COVID Cohort Collaborative (N3C) in cooperation with MDClone, showing how broader sharing of synthetic data beyond institutions can help predict coronavirus disease trajectories regionally using overall community infection rates and emergency-room visit rates.
Dr Noa Zamstein, Senior Data Scientist at MDClone, gave a poster presentation demonstrating that synthetic data generated on the MDClone ADAMS Platform can be used to represent COVID-19 patient characteristics and to support complicated predictive analytics with statistically equivalent results to an original data set.
Dr Jon D. Morrow, Senior Vice President and Physician Executive at MDClone, was a featured speaker on a panel of industry thought leaders exploring the challenges, innovations, and future of the Informatics industry.
Professor Wilcox, Dr Zamstein, and Dr Morrow were joined by Professor Randi Foraker, Director of the Center for Population Health Informatics at Washington University in St. Louis, and by Dr Jason Thomas of the University of Washington, in a panel discussion of the use of synthetic data for various real analyses related to the coronavirus pandemic, including data characterization, epidemic measurement, prevalence prediction, and inpatient severity prediction.
These presentations highlighted the broad application of the technology in Informatics and made it clear that the use of synthetic data from MDClone creates myriad discovery opportunities. MDClone has firmly established itself as a key player in the Informatics community.
Synthetic data enables researchers and providers to explore computationally derived synthetic data, with no way to link back to individual patients or patient records because a brand new data set is created.
While standard methods of data de-identification may be effective for certain studies, synthetic data enables a much stronger ability to understand a data set as a whole while also enabling the sharing of data and maintaining complete patient confidentiality.
The ground-breaking research conducted in partnership with NIH, Washington University in St. Louis, and MDClone, not only provides valuable insights into the COVID pandemic, but also further validates the need for data exploration to be democratized, while maintaining patient privacy, to enable more clinicians and researchers to extract insights from the vast amounts of data within healthcare.
To learn more about how MDClone is powering the NIH N3C efforts, click here.
