Objective: The paper analyzed the spatial distribution characteristics and possible influencing factors of general medical service price in order to provide a theoretical basis for medical service price reform in China. Methods: Taking the outpatient diagnosis fee, the bed fee and the nursing fee of general medical service items in tertiary hospitals as samples, spatial autocorrelation analysis and spatial regression model was used to analyze their spatial distribution characteristics and influencing factors. Results: There was a global spatial autocorrelation between the outpatient diagnosis fee (Moran's I=0.168, P=0.006), the bed fee (Moran's I=0.154, P=0.022) and the nursing fee (Moran's I=0.205, P=0.004) in tertiary hospitals. The analysis of local hot spots showed that the hot spots were concentrated in Beijing City, Shanghai City, Jiangsu Province, Shandong Province and other places, while the cold spots were distributed in Chongqing City, Guizhou Province and other areas. Policy factors had statistical significance for the bed fee and the nursing fee, the proportion of personal health expenditure in the total health cost had statistical significance for the nursing fee, per capita GDP had statistical significance for the bed fee and the outpatient diagnosis fee (P<0.05), and other variables revealed no statistical significance. Conclusion: There was a global autocorrelation in the spatial distribution of outpatient diagnosis fees, bed fees and nursing fees in tertiary hospitals, suggesting that the dynamic adjustment mechanism of medical service price reform should pay attention to the spatial distribution of price, which is conducive to the formation of a gradient and reasonable medical service price system nationwide.