Leveraging a Precision Medicine Platform to Accelerate Research
April 14, 2021
Paul Nagy, Ph.D., FSIIM
- Associate Professor of Radiology
- Deputy Director, JHM Technology Innovation Center
- Director of Education, Biomedical Informatics and Data Science
- Schools of Medicine and Engineering
- Johns Hopkins University
Jules P. Bergmann, M.D., M.H.S.
- T32 Clinical Research Fellow
- Pediatric Critical Care Medicine
Hear how the Johns Hopkins Precision Medicine Platform was created and is used to predict patient deterioration and risk.
Download the full replay to learn more about:
- The Johns Hopkins Precision Medicine Platform and how it is used for tracking patient hospitalization trajectories during the pandemic
- Leveraging the platform for collaboration and deploying a severe risk prediction algorithm rapidly at the start of the pandemic
- Future plans to help accelerate the vision of patient-centered AI through common data models and collaboration networks
PREVIEW CLIPS FROM THE WEBINAR
Click on a video below to watch.
How High Frequency Data Shows What is Really Going On and Accelerates Models
How Access to Data Beyond the Bedside Accelerates Care & Research
The Ground Truth - Importance of High Frequency Data vs. EMR Data
Importance of High Frequency Time Series Data into PMAP
How John's Hopkins Helped Standardize Data for Collaboration
How John's Hopkin's Helped to Create a Common Data Model