 The review describes studies on the development, validation, and implementation of tools for predicting patient deterioration in general wards in hospitals using electronic medical records to automate early warning tools and provide real-time, dynamic risk estimates. However, the literature has not shown that the deployment or implementation of such algorithms is reproducibly associated with improvements in patient outcomes, highlighting the need for further work to realize the potential of automated predictions and update dynamic risk estimates as part of an operational early warning system for inpatient deterioration. This article was authored by K. D. Mann, Norm M. Goode, for Hodfate High, and others.