Research on Big Data Audit Practice based on Medical Insurance Fund Audit

Authors

  • Zhaoyang Lin

DOI:

https://doi.org/10.54691/fhss.v3i2.3871

Keywords:

Big Data Technology; Medical Insurance; Audit.

Abstract

The rapid development of information technology makes the national audit data base and audit method change accordingly. In recent years, China's medical insurance reform and development is remarkable. The framework of the medical insurance system covering urban and rural residents has been basically formed, and the management service system has been completely informationized and digitized. Medical security audit in the new era must adapt to the changes in the new era and step into the practice of big data audit. Based on the audit practice in the field of medical security, this paper analyzes the current situation of the big data environment faced by the current medical security fund audit, discusses the existing problems of medical insurance audit based on big data, and puts forward suggestions to promote the deepening development of big data audit.

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References

Fan Xiaorong. Exploration of audit methods under big data audit model [J] Caixue, 2019 (22): 161–162.

Research group of Kunming Special Office of the National Audit Office Zhou Yingliang, Chen Bo, Ma Yanfei, et al. Research on big data audit practice in the new era -- taking the audit of medical security fund as an example [J] Audit Research, 2020 (2): 7–13.

Chen Wei, Wally. 2016. Electronic data audit in big data environment: opportunities, challenges and methods [J] Computer Science (1): 8-13.

Gu Hongfei. 2015. Preliminary Study on the Technical Methods of Audit Data Analysis in the Big Data Environment [J] China Management Informatization (3): 45-46.

Liu Xing, Niu Yanfang, Tang Zhihao. 2016. Some thoughts on promoting big data audit [J] Audit Research (5): 1-6.

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Published

2023-02-20

Issue

Section

Articles

How to Cite

Lin, Z. (2023). Research on Big Data Audit Practice based on Medical Insurance Fund Audit. Frontiers in Humanities and Social Sciences, 3(2), 44-49. https://doi.org/10.54691/fhss.v3i2.3871