图书情报知识 ›› 2025, Vol. 42 ›› Issue (4): 27-40.doi: 10.13366/j.dik.2025.04.027

• 专稿·2024年中国科技情报学会健康信息学专委会学术年会论文 • 上一篇    下一篇

智慧养老数据化的进路:由来、范畴与框架

李新月1, 练靖雯1, 王晰1, 朱庆华1, 宋小康2   

  1. 1.南京大学信息管理学院,南京,210023;
    2.徐州医科大学管理学院,徐州,221004
  • 出版日期:2025-07-10 发布日期:2025-08-16
  • 通讯作者: 朱庆华(ORCID: 0000-0002-4879-399X),博士,教授,研究方向:健康信息学、智慧养老,Email: qhzhu@nju.edu.cn.
  • 作者简介:李新月(ORCID: 0000-0001-7684-3678),博士研究生,研究方向:健康信息学、用户信息行为;Email: LXinyue_05@163.com;练靖雯(ORCID: 0000-0002-8638-5348),博士研究生,研究方向:网络信息资源管理、数字人文,Email: jwlian@smail.nju.edu.cn;王晰(ORCID: 0000-0002-9675-4311),博士研究生,研究方向:医学信息学,Email: 3317669472@qq.com;宋小康(ORCID: 0000-0002-9862-908X),博士,副教授,研究方向:健康信息学、用户信息行为,Email: sxksxk666@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 Datafication Approach of Smart Senior Care: Origins, Connotation, and Frameworks

LI Xinyue1, LIAN Jingwen1, WANG Xi1, ZHU Qinghua1, SONG Xiaokang2   

  1. 1. School of Information Management, Nanjing University, Nanjing, 210023;
    2. School of Management, Xuzhou Medical University, Xuzhou, 221004
  • Online:2025-07-10 Published:2025-08-16
  • Contact: Correspondence should be addressed to ZHU Qinghua, Email: qhzhu@nju.edu.cn, ORCID: 0000-0002-4879-399X
  • Supported by:
    This is an outcome of the Major Project "Research on the Construction of Smart Senior Care Data Resource System for the Healthy China Initiative"(22&ZD327)supported by National Social Science Foundation of China.

摘要: [目的/意义]梳理智慧养老数据资源的现状,明确相关概念内涵,探讨积极老龄化背景下智慧养老数据化进路,旨在推动智慧养老数据从“造”到“用”,实现智慧养老服务从“有”到“优”。[研究设计/方法]以“智慧养老数据化”概念为核心,基于“I-Model”理论框架分析其产生背景,结合类型理论从“Who-What-Why-How”四个维度深入解析其内涵,最终构建涵盖研究视角、范式和关键议题的智慧养老数据化研究框架。[结论/发现]揭示了智慧养老数据化的复杂性,其涉及多主体、多场景和多样化的技术构件,贯穿智慧养老数据生命周期全过程。结合“用户观-技术观-组织观”三链螺旋的分析视角,归纳了实证主义、诠释主义、系统主义、数据密集型和AI驱动五种适用于智慧养老数据化场景的研究范式,并探讨了智慧养老数据化痛难点、数据管护、数据价值创新等问题。[创新/价值]从“数据”这一微观层面切入,创新提出并界定了“智慧养老数据化”概念,并析出五种可用研究范式与三大关键议题,为理解我国智慧养老发展阶段、厘清数据资源建设主体、要素、实现动因与运作机制等提供了理论支撑,进而为未来理论拓展与实践探索提供重要参考。

关键词: 智慧养老, 数据化, 类型理论, 概念内涵

Abstract: [Purpose/Significance] This study aims to review the current status of smart senior care data resources, clarify their conceptual implications, explore the approach to smart senior care datafication in the context of active aging, and facilitate the transformation of smart senior care data from "creation" to "utilization", and smart senior care services from "existence" to"excellence". [Design/Methodology] This study centers on the concept of "the datafication of smart senior care" and analyzes its background based on the "I-Model" theoretical framework. It delves into the conceptual implications using Genre theory from the perspectives of "Who-What-Why-How". Ultimately, it constructs a research framework for smart senior care datafication encompassing research perspectives, paradigms, and key issues. [Findings/Conclusion] The study reveals the complexity of smart senior care datafication, which involves multiple stakeholders, diverse scenarios, and various technological components throughout the entire data lifecycle. Using the analytical perspective of the "User-Technology-Organization" three-chain spiral, the study identifies five research paradigms applicable to smart senior care datafication: positivism, interpretivism, system science, data-intensive approaches, and AI for science research methods. It also discusses key issues such as pain points and challenges, data governance, and data value innovation in smart senior care datafication. [Originality/Value] By focusing on "data" at a micro level, this study innovatively proposes and defines the concept of "smart senior care datafication" and identifies five applicable research paradigms and three key issues. It provides theoretical support for understanding the development stages of smart senior care in China, clarifying the stakeholders, key elements, driving forces, and operational mechanisms. Furthermore, it serves as an important reference for future theoretical advancements and practical explorations.

Keywords: Smart senior care, Datafication, Genre Theory, Conceptual implications