Dave Gershgorn published a Jan 27, 2018 article on Quartz titled Google is using 46 billion data points to predict the medical outcomes of hospital patients He discusses a research document published Jan. 24 summarized by 34 co-authors claims that Google’s medical search software surpasses other competitors at predicting medical outcomes such as the likelihood of a patient’s life passing in a hospital, being discharged and readmitted, and their final healthcare diagnosis. To ground the research, Google acquired the de-identified data of 216,221 adults, with more than 46 billion data points cumulative among the individuals. The patient data spanned eleven combined years at the University of California San Francisco Medical Center (years 2012-2016) and from the University of Chicago Medicine (years 2009-2016). Google stated that it has enormously improved over traditional models that others currently rely on for predicting medical outcomes. The part that is raising eyebrows is Google’s ability to predict patient deaths 24-48 hours before current methods, which could allow time for doctors to administer life-saving procedures.