Faced with the problem that nursing service quality evaluation takes a long time and the evaluation results are inaccurate, a nursing service quality evaluation model based on the Internet of Things and big data technology was studied. Establish an evaluation index system to obtain the true information of nursing service quality. Using the single factor in the evaluation index system to evaluate the membership degree of nursing service quality, form a comprehensive evaluation matrix and determine the evaluation factors. Extract the evaluation factors of nursing service quality, calculate the measurement distance of any two data, and map the samples to the feature space using the kernel function to solve the problem of nonlinear segmentation directly in the input space. The Internet of Things platform is introduced to build a complex nursing service collection, obtain evaluation grade elements, and obtain a quantitative collection after corresponding processing of quantitative values, so as to realize the evaluation of nursing service quality. It can be seen from the experimental results that the shortest evaluation time of this model is only 10 s, and the evaluation scores are consistent with the actual evaluation results, which indicates that the evaluation results using this technology are accurate.