Visualized Analyses of the Research on DRG and DIP in China
Pages 106 - 113
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.
References
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Zhou Yuan, Zhou Dian, Tian Di, etc. Visualized analysis of domestic and foreign DRG studies based on CiteSpace software [J]. Chinese Hospital Management, 2022, 42 (10): 1-4.
[2]
Yu Baorong. The Reform Practice and Development Connotation of DRG and DIP [J]. Health Economic Research, 2021, 38 (01): 4-9.
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Ying Yazhen, Cao Zhuang. How to understand the late-mover advantage of DIP reform [J]. China Health, 2020, 424 (12): 47-48.
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Li Xiaowu, Qu Guohua, Zhang Yue, etc. Blockchain research status, knowledge evolution and trend analysis —— Scientific metrology based on WOS core database literature [J]. On Economic Problems, 2022 (05): 54-63.
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Huang Huiying. Feasibility study of diagnosis-related classification in the management of hospitals in Beijing [J]. Chinese Journal of Hospital Administration, 1994 (03): 131-136.
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Chen Yue, Chen Chaomei, Hu Zhigang, etc. Principles and application of citation space analysis [M]. Beijing: Science Press, 2014: 23-24, 147-149.
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Wang Jing, Zhong Liwei, Yan xing, etc. Exploration of practice reform of medical insurance payment in Shanghai Hospital of Traditional Chinese Medicine [J]. Chinese Hospital Management, 2022, 42 (03): 70-73.
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Fang Jinming, Liu Ling, Peng Yixiang and so on. Low code, high compilation and medical resource consumption analysis of the typical disease group under DRG payment [J]. Health Economics Research, 2022, 39 (04): 33-36.
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Li Mengying, Sun Zhicheng, Tang Yao, etc. Construction of a clinical pathway management system in public hospitals based on DRG [J]. Health Economic Research, 2022, 39 (02): 67-69.
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Chen Yajing, Qian Mengcen, Zhang Xinyu, etc. Disease record collection and data quality control in the reform of group payment according to disease diagnosis in Shanghai [J]. Chinese Health Resources, 2022, 25 (01): 24-27.
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Wang Hu, Yang Juan, Lei Qihui, etc. Construction of comprehensive ability evaluation system for operation management of clinical departments [J]. Chinese Hospital Management, 2020, 40 (02): 41-43.
Index Terms
- Visualized Analyses of the Research on DRG and DIP in China
Index terms have been assigned to the content through auto-classification.
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Published In
November 2023
341 pages
ISBN:9798400708091
DOI:10.1145/3635175
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 21 December 2023
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ICIIP 2023
ICIIP 2023: 2023 8th International Conference on Intelligent Information Processing
November 21 - 22, 2023
Bucharest, Romania
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Overall Acceptance Rate 87 of 367 submissions, 24%
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