Stale data prevention refers to strategies employed in systems and databases to ensure that information remains current and accurate over time, minimizing the risks of outdated data leading to errors in decision-making processes. This involves techniques like real-time data updating, regular data synchronization, and the implementation of checks and alerts that identify and rectify inconsistencies quickly.