Key components of automated alerts include data collection, data analysis, and communication. Data collection can involve a variety of sources, including electronic health records (EHRs), laboratory information systems, and even environmental sensors. Data analysis often leverages statistical methods and machine learning to detect anomalies. Communication tools ensure that the right information reaches the right people at the right time.
