Objective To explore the current problems and optimized path of policy through quantitative evaluation of centralized drug bulk⁃buying policy in China. Methods Documents of centralized drug bulk⁃buying policy issued by the Chinese government and relevant departments were retrieved from the official websites of State Council and relevant departments, and from the PKULAW database. Using ROST CM 6.0 text⁃analysis software, text mining analysis and treatment, as well as semantic network graph construction were performed on the collected policy documents. Based on the existing research results and the construction of semantic network graph, a quantitative evaluation system was established, and the policy texts were quantitatively analyzed through the policy modeling consistency (PMC) index model. Results The quantitative evaluation system constructed for the centralized drug bulk⁃buying policy comprised 10 primary variables and 38 secondary variables. The mean PMC index score of the 30 policy documents was 7.53, among which 23 policy documents were rated as “excellent” and 7 as “acceptable”. Across the 30 policy documents, scores were relatively high in the primary variables X9 policy evaluation (0.97) and X10 policy openness (1.00), while relatively low scores were observed in X1 policy nature (0.46), X3 policy timeliness (0.25), and X4 issuing agency (0.46). Conclusion There exist certain deficiencies in China's centralized drug bulk⁃buying policy, manifesting as incomplete functional orientation in terms of policy nature, suboptimal policy timeliness, and insufficient inter⁃departmental synergy. It is recommended that top⁃level design should be strengthened, with long⁃term, medium⁃term, and short⁃term policy objectives being rationally formulated, and multi⁃departmental collaboration should be enhanced, improving the synergistic efficiency and overall performance of policy implementation. 

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