图书情报知识 ›› 2024, Vol. 41 ›› Issue (2): 13-17.doi: 10.13366/j.dik.2024.02.013

• 二十大精神研究阐释与践行· “ 数据要素 ×” 应用场景 • 上一篇    下一篇

数据要素在医疗健康领域的内涵、价值与应用

朱庆华, 王晰, 赵宇翔   

  1. 南京大学信息管理学院,南京,210023
  • 出版日期:2024-03-10 发布日期:2024-05-14
  • 通讯作者: 王晰(ORCID:0000-0002-9675-4311),博士研究生,研究方向:健康信息学,Email:3317669472@qq.com。
  • 作者简介:朱庆华(ORCID:0000-0002-4879-399X),博士,教授,研究方向:健康信息学、社会化媒体,Email:qhzhu@nju.edu.cn;赵宇翔(ORCID:0000-0001-9281-3030),博士,教授,研究方向:人机交互、健康信息学、数字人文,Email:yxzhao@vip.163.com。
  • 基金资助:
    本文系国家社科基金重大项目“面向健康中国战略的智慧养老数据资源体系建设研究”(22&ZD327)的研究成果之一。

The Connotation, Value and Application of Data Elements in the Healthcare Field

ZHU Qinghua, WANG Xi, ZHAO Yuxiang   

  1. School of Information Management, Nanjing University, Nanjing,210023
  • Online:2024-03-10 Published:2024-05-14
  • Contact: Correspondence should be addressed to WANG Xi, Email: 3317669472@qq.com, ORCID: 0000-0002-9675-4311
  • Supported by:
    This is an outcome of the Major Project "Research on the Construction of Data Resources Framework for the Smart Aging in Healthy China Initiatives"(22&ZD327)supported by National Social Science Foundation of China.

摘要: 十七部门联合发布的《“数据要素×”三年行动计划(2024—2026年)》引发了社会的广泛关注。本文首先探讨医疗健康领域数据要素的本质、分类及其重要性。在此基础上,提出促进医疗健康数据融合创新的关键策略,包括通过技术赋能医疗健康数据的采集,推动医疗健康数据的整合与标准化工作,促进医疗健康数据的开放和共享,以及加强对医疗健康数据的安全保护。

关键词: 医疗健康领域, 数据要素, 数据标准化, 数据开放共享, 数据安全

Abstract: "The 'Data Elements ×' Three-Year Action Plan(2024—2026)", jointly issued by seventeen national departments, has attracted wide attention from the society. This article firstly examines the core issues, classification and significance of data elements in the healthcare field. Furthermore, the key strategies to promote the integration and innovative use of healthcare data are proposed, including enhancing the collection of healthcare data through technological empowerment, advancing the integration and standardization of healthcare data, promoting the openness and sharing of healthcare data, and strengthening the security protection of healthcare data.

Key words: Healthcare field, Data elements, Data standardization, Data openness and sharing, Data security