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


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

About John's Hopkins Precision Medicine Platform (PMAP)

How John's Hopkins Harnessed Big Data

About the John's Hopkins COVID 19 Risk Predictor