多源数据融合下医护科研人员科研能力提升策略研究  

Study on Strategies to Enhance the Scientific Research Capabilities of Medical Personnel under the Fusion of Multi-source Data

作　　者：杨晓雯[1] 季汉珍[2] YANG Xiaowen;JI Hanzhen(Library of Nanjing Medical University,Nanjing 211166,China;Nantong Third People’s Hospital,Nantong Third Hospital Affiliated to Nantong University,Nantong 226000,China)

机构地区：[1]南京医科大学图书馆,南京211166 [2]南通市第三人民医院/南通大学附属南通第三医院,南通226000

出　　处：《医学信息学杂志》2024年第7期26-32,共7页Journal of Medical Informatics

基　　金：教育部人文社会科学研究项目(项目编号:22YJC870019);江苏高校哲学社会科学研究项目(项目编号:2022SJYB0303);南京医科大学党的二十大精神研究专项(项目编号:XZ221X20230805)。

摘　　要：目的/意义探讨医护科研人员用户画像构建方法和科研能力提升策略。方法/过程根据用户画像理论提出医护科研人员用户画像的构建模型;使用Python语言、ETL和Echarts工具对构建用户画像所需的多源异构数据进行采集、预处理、存储和挖掘,提取标签进行用户画像可视化并进行实证研究。结果/结论医护科研人员可分为具备科研潜质的护理人员、科研新手、科研提升型群体和科研领域资深专家,根据不同类型特征提出医护科研人员科研能力提升策略。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.

关 键 词：多源数据 医护科研人员 用户画像 科研能力提升 

分 类 号：R-058[医药卫生]