SaTScan is a free software that analyzes spatial, temporal, and space-time data using spatial, temporal, or space-time scan statistics. This panel describes where users can get more information about SaTScan and highlights recent improvements to the software. A local health department representative will describe how its daily, automated reportable disease spatio-temporal cluster detection system using SaTScan was the first to detect several notable outbreaks, including the second largest U.S. outbreak of community-acquired legionellosis (South Bronx, July 2015). Results and challenges in maintaining such a system will be presented. A live demonstration will show how to detect disease clusters using the prospective space-time permutation scan statistic.