关键词: 卫生信息化, 政策评估, 文本挖掘, PMC指数模型, 文本量化

Abstract: Background　 China's health informatization is in the stage of rapid development, and policy support plays an important role in the rapid improvement of health information level. At present, there are few researches on the quantitative evaluation of health informatization policy, so it is necessary to carry out relevant researches to promote the policy upgrading to promote the efficient and high-quality development of health informatization. Objective　 To sort out and evaluate the policy of health informatization in China, and to provide reference for the formulation and improvement of the policy. Methods　 The relevant health informatization policies issued by the government from 2014 to 2023 were obtained through retrieval and screening, and the text Mining was carried out using the ROST Content Mining System (ROST CM) qualitative analysis software. The Policy Modeling Consistency (PMC) index model was constructed to evaluate the corresponding policies, and the basic situation and policy integrity of health informatization policies were quantitatively evaluated and analyzed by setting primary and secondary indicators. Results　 A total of 11 policy documents were selected. PMC evaluation system and evaluation criteria are established through PMC modeling method and multi-source flow theory. Among the 11 selected policy samples, the average score of PMC（6.77）is at a good level, and there is a large room for improvement in the first-level indicators of policy tools （0.39）and policy level（0.56）, and there is a large room for improvement in the second-level indicators of the expected variables of policy quality（0.55）and the technical support variables of policy implementation（0.09）. Conclusion　 Health informatization policies need to pay more attention to supply-oriented policies and demand-oriented policies, actively form formal standards and specifications with high effectiveness to upgrade policy levels, and propose reasonable and operational goals to facilitate future measurement of expected goals, focusing on assessment and technical support to help policy implementation. Promote the rapid development of health informatization through scientific policy system.

Key words: Health informatization, Policy evaluation, Text mining, PMC index model, Text quantization