| Abstract： |
Although it is generally acknowledged that the use of big data technology enhances national governance, greater research into how it truly influences national government performance is still necessary. This study examines the utility of big data and how it can improve disease diagnosis grouping systems in order to analyze how big data can alter national government structures. The development of diagnostic disease grouping has been hampered by the lack of sufficient and high-quality medical data in the past. Diagnostic disease grouping is based on a vast amount of data. With the implementation of key technologies like big data storage and cleaning, analysis and mining, as well as security and privacy protection, enormous amounts of data are being used effectively thanks to the harmonisation of data standards, which has enabled the interconnection of data and the dismantling of information silos. The case demonstrates that, first, how big data technology gives commercial health insurance companies access to the data base required for actuarial and risk management, enabling businesses and society to participate in governance. second, big data technology encourages the establishment of a catalogue library of disease combinations based on full clinical sample data, enhancing public oversight by making the rates charged for various disease groups and the payment percentage of the coordination fund entirely transparent and open. third, big data technology has made it possible to cut medical expenditures, standardize the use of health insurance funds, and keep health insurance costs under control. The improvement of disease diagnosis grouping demonstrates how big data has transformed the healthcare system in terms of governance subjects, governance processes, and governance outcomes, demonstrating that big data technology has encouraged the transformation of the national governance system in at least three areas: collaborative governance of governance subjects, efficient supervision of governance processes, and cost control of governance outcomes. |
