关键词: 远程医疗, 政策评价, 文本挖掘, PMC指数模型, 移动医疗

Abstract: The evaluation of the telemedicine policy text can provide theoretical support and decision-making basis for the scientific formulation, effective implementation, adjustment and optimization of telemedicine policies. First, the telemedicine-related policy texts were collected and preprocessed, the high-frequency words were extracted through text mining, the keywords co-occurrence network was generated, and a PMC index model consisting of 10 first-level indicators and 48 second-level indicators was constructed. Then, seven representative telemedicine policies in China were selected as samples for further analysis, by calculating the PMC index and drawing the PMC surface diagram to analyze the pros, cons and optimize path of various policies, and the policy comparison analysis is carried out by radar chart. It is find that the overall design of policy samples are relatively reasonable and can effectively promote the development of telemedicine. Finally, a series of recommendations for telemedicine policies were put forward: ①In the process of telemedicine policy formulation, the predictability should be increased and the corresponding supervision mechanism should be introduced; ②setting multi-stage goals in long-term planning and accelerating the formulation of a dedicated telemedicine policy technology roadmap; ③enriching incentives and restraints means and refining the incentive measures taken; ④the government should strengthen policy priorities, clarify policy objectives, broaden policy scope, enrich policy content, and improve the incremental effect of the policy on the development of telemedicine.

Key words: Telemedicine, Policy evaluation, Text mining, PMC index model, Mobile medical