Tianwei Zhou
ABSTRACT
With the rapid development of big data, medical insurance payment methods are reformed based on scientific big data calculation. Diagnosis related groups (DRG) is recognized as one of the more advanced and scientific payment methods, while big data diagnosis-intervention packet (DIP) is a medical insurance payment method formed on the basis of Chinese practical situations. This paper systematically collected literature in China National Knowledge Infrastructure database during 1994-2023, and summarizes the research hotspots and development trends of China's DRG and DIP with the help of CiteSpace. From the analysis, it is clear that the research hotspots of DRG and DIP in China mainly focus on cost control, performance evaluation, hospitalization expenses and medical quality, while how to deal with the poor quality of the raw medical records is still a tough problem. Therefore, it is suggested that we should pay more attention to the persistent emergence of high-heat keywords, improve the quality of the homepage of medical records, and highlight the problems of DRG and DIP in the management and control of medical expenses.
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Index Terms
- Visualized Analyses of the Research on DRG and DIP in China
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