Study findings presented at the Society for Healthcare Epidemiology of America Spring Conference continued to show the ability of real-time genomic surveillance to detect nosocomial outbreaks.
In a previous 2-year study, University of Pittsburgh epidemiologist Alexander J. Sundermann, DrPH, MPH, and colleagues demonstrated that a combination of whole-genome sequencing surveillance and machine learning of the electronic health records — which is used to identify transmission routes — outperformed traditional infection prevention methods in identifying hospital outbreaks, saving