In the Journal of Hospital Medicine, Craig Umscheid, Benjamin French, and other Penn colleagues investigate electronic health record (EHR)-based interventions aimed at reducing sepsis-related mortality. Severe sepsis affects as many as three million patients in the U.S. annually and kills 750,000. Earlier intervention could help to lower the mortality rate, but identifying at-risk patients is a challenge. Umscheid and colleagues propose that a better screening mechanism would help providers recognize and treat sepsis right away. To test this, they conduct a study where the EHRs of adult non-ICU patients in acute inpatient units are programmed to alert the provider, nurse, and rapid response coordinators whenever a patient’s vital signs and laboratory metrics show certain predetermined abnormalities. The use of this automatic prediction tool was found to promote a statistically significant increase in early sepsis care, ICU transfer, and sepsis documentation. The authors also find a related decrease in sepsis mortality, but this data was not statistically significant.