Automated Prediction of Cardiorespiratory Deterioration Events in Single Ventricle Patients

October 1st, 2020

Craig Rusin, Ph.D.

  • Associate Professor at Baylor College of Medicine and Texas Children's Hospital
  • Associate Professor of Computational Applied Math, Rice University
  • CTO and co-founder of Medical Informatics Corp.

Learn about the variables that were hardest to obtain and the methods to collect the data for the multi-site study.

Some of the topics Dr. Rusin discussed during this session:

  • How he and his team captured 900,000 hours of data during the multi-center study
  • The ability to predict cardiorespiratory deterioration 1-2 hours in advance
  • Providing an early warning to staff to help improve outcomes in this high-risk patient population


Click on a video below to watch.

Capturing 900,000 Hours of Data

Predicting Cardiorespiratory Deterioration 1-2 Hours in Advance