Advancing COVID-19 Data Science and Bioinformatic Methods

Description

The COVID-19 pandemic is a health crisis of unprecedented scale. While there are many facets to an effective response, clinical informatics can assist regulators, policy makers, and other stakeholders in optimizing medical product use and value. Drawing on the experience of nationally renowned clinicians, scientists, and regulatory experts, and sponsored by the U.S. Food and Drug Administration and the Johns Hopkins Center of Excellence in Regulatory Science and Innovation (JH-CERSI), this two-part webinar will provide a stimulating and timely analysis of the use of clinical informatics in optimizing the regulatory and public health response to the COVID-19 pandemic in the U.S. Learn more about the webinar series.

Webinar #1: Data Science & Epidemiological, Statistical, and Bioinformatic Methods

This 90-minute webinar will focus on the science of informatics as it applies to advancing COVID-19 research. Particular emphasis will be given to the topics including the development of registries to capture the patient journey, strategies to link registry data with information from laboratories, biospecimens, and other clinical repositories, use of common data models to support data standardization and harmonization and enhancing the application of unstructured learning as a means to accelerate knowledge generation.

Speakers:

• Caleb Alexander (Johns Hopkins)
• Christopher Chute (Johns Hopkins)
• Jeremy Rassen (Aetion)
• Mitra Rocca (Food and Drug Administration)