医学信息学杂志2024,Vol.45Issue(7) :26-32.DOI:10.3969/j.issn.1673-6036.2024.07.005

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

杨晓雯 季汉珍
医学信息学杂志2024,Vol.45Issue(7) :26-32.DOI:10.3969/j.issn.1673-6036.2024.07.005

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

杨晓雯 1季汉珍2
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作者信息

  • 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
  • 折叠

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.

Abstract

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 empir-ical research is conducted.Result/Conclusion Medical and nursing research personnel can be categorized into groups with research po-tential,research novices,research improvement groups,and senior experts in the research field.Strategies for enhancing the research ca-pabilities 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

Key words

multi-source data/medical research personnel/user portrait/research capability enhancement

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基金项目

教育部人文社会科学研究项目(22YJC870019)

江苏高校哲学社会科学研究项目(2022SJYB0303)

南京医科大学党的二十大精神研究专项(XZ221X20230805)

出版年

2024
医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
参考文献量11
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