Show Notes
Hospitals are where we go to get cured of infections and diseases, but sadly, sometimes tragically, and ironically, they are also places we go to get them.
According to the Centers for Disease Control, “On any given day, about one in 31 hospital patients has at least one healthcare-associated infection.”
Yet, according to Dr Lee Harrison, “The current method used by hospitals to find and stop infectious disease transmission among patients is antiquated. These practices haven’t changed significantly in over a century.”
Until perhaps now. Doctors at the University of Pittsburgh and the University of Pittsburgh Medical Center have developed a
new method that uses three distinct, relatively new, technologies, whole-genome sequencing surveillance, and machine learning, and electronic health records to identify undetected outbreaks and their transmission routes.
Dr Lee Harrison is a Professor at the University of Pittsburgh, where he’s the Associate Chief of Epidemiology and Education and, more to our point today, the head of its Infectious Diseases Epidemiology Research Unit. He’s the corresponding author of a
new paper that describes the new methodology and he’s my guest today.
Fixing the Future is the weekly podcast of @IEEE Spectrum and is sponsored by @COMSOL
What is Fixing the Future?
Fixing the Future from IEEE Spectrum magazine is a biweekly look at the cultural, business, and environmental consequences of technological solutions to hard problems like sustainability, climate change, and the ethics and scientific challenges posed by AI. IEEE Spectrum is the flagship magazine of IEEE, the world’s largest professional organization devoted to engineering and the applied sciences.