In a society that increasingly values quality of life and public health, building a national life expectancy data system becomes a strategic idea. This system is not merely a statistical tool, but a foundation that enables governments and relevant agencies to plan policies scientifically, aiming for sustainable development.
The system is envisioned as a centralized database, collecting information from hospitals, health agencies, insurance providers, and population statistics. Artificial intelligence would analyze the data to forecast average life expectancy by region, gender, occupation, and living conditions. At the same time, the system could detect areas with unusually low life expectancy, issuing early warnings for timely intervention. Data would also be shared across multiple sectors such as healthcare, education, labor, and insurance to design policies aligned with real needs.
The benefits of such a system are clear. It would help governments predict future demands for healthcare, pensions, and social welfare. Causes of low life expectancy could be identified and addressed, thereby improving the quality of life for citizens. Additionally, the system would support rational budget allocation and provide valuable data for research institutes in demography, medicine, and sociology.
However, challenges remain. Protecting personal health data must be a top priority to prevent leaks. Accuracy must be ensured through continuous updates and rigorous verification. Building a nationwide system requires significant investment in infrastructure and human resources. Moreover, effective inter-agency cooperation is essential for smooth operation.
Even so, the vision is compelling: imagine a system that can reveal the average life expectancy of each region and demographic group, while forecasting trends for the next 10–20 years. At that point, the national life expectancy data system would not only be a statistical tool, but also a strategic foundation, helping the country design healthcare, education, and social welfare policies scientifically, with the ultimate goal of improving quality of life and achieving sustainable development.
