Signal detection is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Signal detection identifies patterns, trends, or anomalies that may indicate emerging risks or system changes. It draws on statistical monitoring, surveillance systems, and machine learning. The method is especially valuable in pharmacovigilance, public health, and operational safety. Challenges include distinguishing signal from noise, ensuring data quality, and acting early without overreacting.
More specifically
RSI supports signal detection in safety surveillance, environmental monitoring, and early warning systems. Its teams configure thresholds, monitor trends, and use algorithms or human-in-the-loop processes to flag concerns. RSI emphasizes the integration of signal detection with context interpretation, ensuring appropriate responses and sustained vigilance.