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Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term Care

  • Yuling Sun
  • , Xiaojuan Ma
  • , Silvia Lindtner
  • , Liang He*
  • *此作品的通讯作者
  • School of Computer Science and Technology
  • East China Normal University
  • Hong Kong University of Science and Technology
  • University of Michigan, Ann Arbor

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Using data and data technologies to support healthcare has drawn significant attention recently. While CSCW and HCI have largely celebrated the tremendous promise of 'data-driven healthcare' in reforming the healthcare sector, this paper reveals 'labor-driven reality' of this promised data-driven future. Drawing from a qualitative study in a real-world data-driven long-term care (LTC) facility in China, we demonstrate how data-driven technologies work in practice, and especially how frontline workers, as the crux of this data-driven configuration, conduct a tremendous amount of "data work"to make data-drivenness work. This data work, we argue, goes beyond the "clerical work"and functions as a labor of maintenance, articulation, and repair, that both guarantees data technologies' functionalities and acts as an interface between stakeholders. We conclude by discussing the practices, problems and opportunities of this data work in a boarder socio-cultural context.

源语言英语
期刊论文编号42
期刊Proceedings of the ACM on Human-Computer Interaction
卷7
期1 CSCW
DOI
出版状态已出版 - 16 4月 2023

联合国可持续发展目标

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  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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