This article proposes an intelligent evaluation model for carbon reduction potential of hospital buildings based on fuzzy entropy to address the issue of poor accuracy in evaluating the carbon reduction potential of existing public buildings. On the basis of analyzing the carbon emissions of hospital buildings, relevant influencing factors are selected as evaluations to establish a scientific carbon reduction potential evaluation system. Then, based on triangular fuzzy entropy, the weight of the indicators is calculated, and an intelligent evaluation model for the carbon reduction potential of hospital buildings is established. The experimental results indicate that the evaluation model established in this study can accurately evaluate the carbon emission reduction potential of hospital buildings, and the evaluation time is relatively short, which has certain application value.