[目的/意义]文章旨在揭示国内信息资源管理视域下的健康信息学研究方法现状，探究不同研究主题下的研究方法应用特点，为该领域研究设计的方法选用提供参考依据。[方法/过程]首先，从中国知网获取61本信息资源管理领域期刊的2154条学术论文摘要。接着，利用数据增强的BERT模型和ChatGPT大模型抽取研究方法实体，进而构建方法实体共现网络，结合Louvain社区探测算法划分方法实体类团。最后，基于BERTopic模型挖掘论文研究主题，并揭示各研究主题下方法实体的应用状况。[结果/结论]健康信息学研究方法实体大致分为实证研究法、质性研究法、数据智能与仿真法、数据采集方法及工具、模型研究法、信息系统分析与设计方法，不同研究主题下的研究方法分布具有显著差异。研究结果有助于为特定学科问题适配研究方法，促进健康信息学多元、混合、跨学科方法的组合应用。

[Purpose/significance] The purpose of this paper is to reveal the current status of health informatics re⁃search methods in the domestic information resource management perspective, to explore the characteristics of re⁃search methods applied under different research themes, and to provide a reference basis for the selection of research design methods in this field. [Method/process] Firstly, the study obtained 2154 academic paper abstract data from 61 journals in the field of information resource management from CNKI. Secondly, it utilized BERT model with data aug⁃mentation and the ChatGPT large language model for research method entity extraction. On this basis, a method entity co-occurrence network was constructed. The method entity clusters were classified according to the Louvain communi⁃ty detection algorithm. Finally, the BERTopic model was used to mine research themes and reveal the status of applica⁃
tion of method entities under each theme. [Result/conclusion] Health informatics research methodology entities are broadly categorized into empirical research methods, qualitative research methods, data intelligence and simulation methods, data collection methods and tools, modeling research methods, and information systems analysis and design methods, with significant differences in the distribution of research methods under different research themes. The re⁃sults of the study help to adapt research methods for discipline-specific problems and promote the combined applica⁃tion of multifaceted, mixed, and interdisciplinary methods in health informatics.