Fraud Detection in healthcare organization: A Bibliometric Analysis Approach

Yustin Nur Faizah, Siti Musyarofah, Alexander Anggono

Abstract


The purpose of this research is to provide research possibilities for research in the next season. This study uses bibliometrics. Sample journal or article after selection process with purposive sampling it's 51 journals or articles. The source data comes from journals and articles published in Science Direct, Emerald Insight and Google Scholar. The result of this research is that Google Scholar is the source of the most popular journals or articles. The most frequent research where qualitative research. 2019 was the year with the most journals or articles. IEEE became a publication in health care fraud detection publications. Health insurance became a fraud into health fraud as much as 41%. healthcare fraud detection is analysed using big data analysis. It's possible that further research could apply some of the new batches sorted out for health care fraud data types.

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References


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