Analyzing patient feedback involves qualitative and quantitative methods. Qualitative analysis includes coding and theming responses to identify common patterns and sentiments. Quantitative analysis involves statistical techniques to measure the frequency and distribution of responses. Advanced analytics, such as machine learning and natural language processing, are increasingly used to process large volumes of feedback.