Research on Quantitative Evaluation of China’s Health Portrait Policy Based on the Policy Modeling Consistency Index Model

Abstract

An in-depth investigation into the existing policy landscape for the advancement of health profiling initiatives in China serves the dual purpose of furnishing a solid theoretical foundation for the policy formulation and iterative upgrading of China’s health industry, as well as delivering actionable reference and guidance for the high-quality advancement of the domestic health profiling sector. This study takes the national-level health profiling Policy issued by China as the research object and adopts the method of text mining to select the high-frequency words in the policy text, to measure the important measurement tool for internal Consistency and content integrity of the policy - Policy Modeling consistency (PMC). Based on the PMC index model, a corresponding indicator system is constructed to conduct quantitative evaluations of the basic situation and overall nature of policies. The research results show that the average policy performance index of the six health profiling policies in China is 6.46. Among them, the performance of four policies is good, and that of two policies is average. The quality of national-level medical big data policies is generally good, but there is still considerable room for improvement. Overall, China’s health profiling policy is basically complete, and its nature and functions are relatively clear. Based on this, this paper conducts specific analysis and improvement suggestions from three aspects: policy content, incentives and constraints, and life cycle.