Purpose/Significance To sort out and analyze the development status of problem classification in the medical and health field, and provide ideas for improving the performance of medical question answering systems. Method/Process By synthesizing relevant literatures in the field of medical and healthcare problem classification, the study summarizes existing classification systems, datasets, deep learning methods, evaluation criteria and applications. It also analyzes future research directions and core scientific issues in the domain of medical and healthcare problem classification. Result/Conclusion Healthcare problem classification is instrumental in enhancing the understanding of issues, improving system performance, and delivering more efficient healthcare services. It holds significant importance for question-answering systems and services in the medical and healthcare domain.