Core Insights - The article emphasizes the importance of public data in enhancing convenience for citizens and improving service efficiency in various sectors, including tourism, healthcare, and finance [3][4][5][6][10]. Group 1: Public Data Utilization - Fujian Province has opened over 45,000 public data directories and made more than 10 billion public data entries available, facilitating over 300 social application scenarios [3]. - The integration of public data into services has led to significant improvements in user experience, such as the "免证便捷入园" application allowing specific groups to enter tourist sites without physical documentation [4]. - The establishment of a public data pricing mechanism has enabled market-oriented allocation of data resources, enhancing the value derived from public data [3]. Group 2: Healthcare Improvements - The introduction of a medical inspection result recognition system has allowed patients to receive timely treatment without the need for overnight stays, with 171 types of tests now recognized across 654 hospitals [5]. - This system has streamlined the process for patients, reducing the need for multiple visits and associated costs [5]. Group 3: Financial Services Enhancement - The "金服云" platform has simplified the loan application process for specialized enterprises, reducing the required documentation and time from one month to just five working days [7]. - The platform has facilitated nearly 1.1 million financing transactions, amounting to over 15.7 trillion yuan, demonstrating its effectiveness in connecting businesses with financial institutions [9]. - The "微e贷" product has been developed to assist small and micro enterprises in obtaining loans quickly, utilizing public data for credit assessments [9]. Group 4: Urban Governance - Public data has been utilized to enhance urban water management, with a centralized system integrating data from various departments to improve response times during heavy rainfall [11][12]. - The establishment of a water management center has led to a 50% increase in emergency response efficiency and a 30% improvement in water retention capacity [13]. - Real-time data collection and analysis have enabled predictive modeling for better decision-making in urban flood management [12][13].
大数据观察·点读“十四五”|公共数据如何“跑起来”“用起来”
Ren Min Ri Bao·2026-01-08 02:06