Using Big Data to Improve Outcomes and Reduce Disparities among Newborns and Infants
Duration: 60 minutes
Data-driven healthcare has immeasurable potential for saving the lives of critically ill patients and improving the lives of all patients. Undetected and untreated diseases and syndromes can be fatal or debilitating. Patterns and trends hidden in the data from medical devices may go unnoticed because of the volume and speed at which information is produced in a highly intense environment.
Gathering and analyzing streams of physiological information from these devices can enable early detection of complications and give doctors the ability to plan and begin treatments sooner and improve patient care and outcomes.
Join Dr. Carolyn McGregor, Professor at University of Ontario Institute of Technology (UOIT), and Annamarie Saarinen, Principal at Ainsley Shea and founder of the Newborn Foundation, on December 17 at 1:00 PM Eastern to discuss how big data analytics is helping to improve outcomes and reduce morbidity and mortality among critically ill infants and ICU patients.
In this webinar, we will discuss what data-driven healthcare means; not only how new technologies and new ways of managing and analyzing data are changing how we care for patients, but also how advocates of patient health are using data to inform policy and save lives.