Cluster analysis on Medical Records Coder's Possible Behavior in DRG Payment
Fu Yinghong
Gao Guangying
Dai Shanshan
Cai Xinyu
Tian Jiashuai
Zhang Jingyi
Zhang Liliang
Abstract：Objective:To analysis the possible behavior of coders in the reform of Diagnosis Related Groups(DRG)payment mode.Methods:To collect through questionnaires the possible coders'behaviors,and extract the common factors of possible behaviors according to factor analysis,and cluster the coders by the K-means clustering method.Results:Classify the possible coders'behaviors into positive behaviors such as following coding norms and standards,and negative behaviors such as directly coding without detailed reading of medical records.Less than 25 years old were more inclined to adopt negative behaviors,and associate senior titles and higher cognitive level of DRG were more inclined to adopt positive behaviors.The coders are divided into"positive group"who tend to take positive behaviors and"negative group"who take negative behaviors.Conclusion:Coders are more likely to adopt positive behavior,and we should be pay attention to the impact of different demographic characteristics on coders.To adopt different management strategies for different categories of coders,and strengthen training through hierarchical classification,and enhance coders'cognitive of DRG are more conducive to the selection of positive behaviors.
Keywords：diagnosis related groupscoderbehaviorfactor analysiscluster analysis
Publication Date：2025-02-04
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 79-83 )