Personalized alerts utilize data analytics and machine learning algorithms to assess the risk factors associated with an individual or a population. Data sources can include electronic health records, GPS data, social media, and wearable devices. Once the data is analyzed, personalized alerts are generated and delivered through various channels such as SMS, email, or mobile apps. These alerts can inform individuals about potential exposures, recommend preventive measures, or guide them towards medical services.
