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Digitalization can significantly enhance the efficiency of social protection systems by leveraging data analytics, artificial intelligence, and digital platforms to identify and support individuals at risk more effectively. By integrating databases from various sources, such as healthcare, employment, and social services, systems can create comprehensive profiles to detect vulnerabilities early and target interventions precisely. Automated tools can streamline application processes, reduce administrative burdens, and ensure faster delivery of benefits, while predictive analytics can identify emerging risks and trends, enabling proactive support. Additionally, digital communication channels, such as mobile apps and online portals, can improve accessibility, allowing individuals to easily access services and receive real-time updates. Overall, digitalization enables more accurate, timely, and inclusive social protection, ensuring that resources are allocated efficiently to those most in need.

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Digitalization can enhance social protection systems by streamlining data collection and analysis, making it easier to identify individuals at risk. By leveraging big data and analytics, agencies can better understand demographic trends and needs, allowing for targeted interventions. Mobile applications and online platforms can facilitate communication between beneficiaries and service providers, ensuring timely access to assistance. Additionally, digital tools can automate administrative processes, reducing bureaucratic delays and improving resource allocation. Overall, digitalization fosters a more responsive and efficient approach to social protection, ensuring that vulnerable populations receive the care they need promptly.