Analysis of policy characteristics in China's healthcare using LDA topic modeling
LI Xin
HAN Yibing
LI Xiangfei
Abstract：Objective Based on the LDA topic model,conducting content topic mining on 52 policy texts in the field of healthcare in China in 2023,and analysing the features and focus of the policies.Methods Using the reading of 52 healthcare policies and unsupervised machine learning of the English summaries of the literature using the LDA topic model in order to find and categorise the potential themes of the texts.Results It was found that the policies focused on five themes:quality control and regulation management,Chinese medicine speciality construction management,law enforcement digitalisation management,urban and rural public health management,and nursing and performance appraisal management.These themes covered the regulation of health insurance funds,quality control of healthcare,development of Chinese medicine,digital transformation and public health services.Policies were more concerned with connectivity,health insurance fund regulation,and urban-rural healthcare balance.However,policies were uneven across different areas,such as relative weakness in digitalisation and quality control.Conclusion It points out that policy making should focus on balancing and resolving internal contradictions in order to promote comprehensive and balanced development of healthcare,and suggests the need for a policy evaluation mechanism.
Keywords：healthcare policiesLDA topic modelingpolicy analysis
Publication Date：2024-06-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 311-315 )