Opportunities and Challenges in Health Insurance Statistics in the Era of Big Data

Abstract

With the rapid advancement of big data technology, health insurance statistics are undergoing unprecedented transformations. This study explores the opportunities and challenges of health insurance statistics in the context of big data, offering theoretical frameworks and strategic recommendations. Through a comprehensive literature review and theoretical analysis, the study systematically examines related research on the application of big data in health insurance statistics globally. It analyzes how big data technology enhances the efficiency of data collection, processing, and analysis in health insurance, while also addressing issues like data security, privacy protection, and talent shortages. The research involves an in-depth analysis of big data technology characteristics and a reevaluation of health insurance statistical workflows. The findings indicate that big data offers opportunities for improved data processing capabilities and enhanced decision support in health insurance statistics, while simultaneously posing challenges in data governance, privacy protection, and talent development. To fully leverage the advantages of big data, an improved data management system, strengthened data security and privacy measures, and the cultivation of professionals skilled in big data analysis are necessary. This study provides theoretical support and practical guidance for the development of health insurance statistics in the big data context.