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DRGs grouping model of traditional Chinese medicine diseases and syndromes for dominant diseases in traditional Chinese medicine: a study of hemorrhoids
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Ling-ling PANG1, Ge ZHOU1, Jun-ming XIE2, Zhen-zhen SHAO3, Hua-qin SUN2, Ke DING2, Li WU4
Modern Preventive Medicine | 2026, 53(5) : 878 - 884
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Modern Preventive Medicine | 2026, 53(5): 878-884
• Health Policy and Management •
DRGs grouping model of traditional Chinese medicine diseases and syndromes for dominant diseases in traditional Chinese medicine: a study of hemorrhoids
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Ling-ling PANG1, Ge ZHOU1, Jun-ming XIE2, Zhen-zhen SHAO3, Hua-qin SUN2, Ke DING2, Li WU4
Affiliations
  • Department of Medical Record Management, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, China
Published: 2026-03-10 doi: 10.20043/j.cnki.MPM.202509003
Outline
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Objective

To explore the diagnosis related group(DRG) grouping model of traditional Chinese medicine diseases and syndromes under the mode of traditional Chinese medicine disease and syndrome and Western medicine diagnosis, and provide references for relevant medical insurance departments to improve DRG of Zhejiang Province(ZJ-DRG) scheme and enhance its applicability in traditional Chinese medical institutions.

Methods

Discharged patients, from 2020 to 2023, in a tertiary TCM hospital of Zhejiang were selected, and their medical record homepage and the DRG grouping data were collected. Hemorrhoids(ICD-10 code: I84.0-I84.9) were selected as the target disease type for dominant diseases in traditional Chinese medicine. A multilayer perceptron (MLP) neural network and K-prototypes clustering algorithm were used to screen categorical node variables, and decision tree model was used to group hemorrhoids inpatients. The between-group heterogeneity and within-group homogeneity of the established model were evaluated through the coefficient of variation (CV) and the reduction in variance (RIV).

Results

The 4 663 hemorrhoids inpatients in this study were divided into 6 DRGs according to the ZJ-DRG scheme, and the heterogeneity between these groups (RIV: 1.92%) and the homogeneity within these groups (CV: 9.34%-26.29%) were moderate. Through the K-P clustering algorithm based on “Primary diagnosis-Primary symptom-Main Surgery or procedure”, 10 DRGs were formed, with the RIV increasing to 9.05% and the CV ranging between 17.14% and 22.99%. By further integrating traditional Chinese medicine specific indicators and complications, under the decision tree model (CRT algorithm), the RIV increased to 34.59%.

Conclusion

The constructed DRGs grouping model of traditional Chinese medicine diseases and syndromes has improved grouping efficiency and enhanced the heterogeneity between these groups. It can provide a reference for establishing a hierarchical and segmented disease group incentive mechanism for target dominant diseases in traditional Chinese Medicine.

Hemorrhoids  /  DRGs model  /  Chinese medicine disease and syndrome  /  Neural network  /  Decision tree model
庞玲玲, 周歌, 谢俊明, 邵珍珍, 孙华琴, 丁科, 吴丽. 中医优势病种的中医病证DRGs分组模型研究——以痔病为例. 现代预防医学, 2026 , 53 (5) : 878 -884 . DOI: 10.20043/j.cnki.MPM.202509003
Ling-ling PANG, Ge ZHOU, Jun-ming XIE, Zhen-zhen SHAO, Hua-qin SUN, Ke DING, Li WU. DRGs grouping model of traditional Chinese medicine diseases and syndromes for dominant diseases in traditional Chinese medicine: a study of hemorrhoids[J]. Modern Preventive Medicine, 2026 , 53 (5) : 878 -884 . DOI: 10.20043/j.cnki.MPM.202509003
Year 2026 volume 53 Issue 5
22
11
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Article Info
doi: 10.20043/j.cnki.MPM.202509003
  • Receive Date:2025-09-01
  • Online Date:2026-11-02
  • Published:2026-03-10
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  • Received:2025-09-01
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    Department of Medical Record Management, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, China
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表12种不同金属材料的力学参数
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Family
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Number of
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种数
Number of
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Percentage of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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