Purpose/Significance To explore methods for constructing user portraits of medical and nursing research personnel and strategies for enhancing their research capabilities. Method/Process Based on user portrait theory, a model for constructing user portraits of medical and nursing research personnel is proposed. Python, ETL and Echarts tools are used to collect, pre-process, store and mine multi-source heterogeneous data required for constructing user portraits, labels are extracted for user portrait visualization and the empirical research is conducted. Result/Conclusion Medical and nursing research personnel can be categorized into groups with research potential, research novices, research improvement groups, and senior experts in the research field. Strategies for enhancing the research capabilities of medical and nursing research personnel are proposed based on the characteristics of these different types.