Text Mining and Quantitative Research of Medical Service Policy: Sichuan Province as an Example

Abstract

Medical service policy plays a prominent role in the development of a “Healthy China.” This paper constructs a three-dimensional framework for text mining of medical service policy using the elements of policy instruments, policy strength, and types of medical service activity. Taking Sichuan Province as an example, 221 medical service policy documents, issued by the government and related departments, are selected as the research sample; the policy instruments, policy strength, and medical service activity types are analyzed using ROST and Nvivo 11.0 software. It is concluded that the government needs to optimize the structure of policy instruments, to appropriately reduce the use of environmental policy instruments in particular, while increasing the use of demand-based policy instruments. It is necessary to strengthen the interaction between the various sub-policy instruments, and to increase the use of financial services, fiscal taxes, overseas communications, and strategic measures. An increase in the implementation of government policy assists the acceleration of the policy landing, the further improvement of the supervision system, and the safeguard mechanism of the three medicine policy linkage, which can improve the sustainability of the medical service policy, and further resolve the difficulty and expense of seeing a doctor.