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2023 , Vol. 67 >Issue 15: 35 - 43

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.15.004

SPECIAL TOPIC: The Research on Data Value and Data Innovation

Construction of Value Mining Analytical Framework for Big Data in Healthcare

  • Zhang Weidong ,
  • Chen Xipeng ,
  • Yang Sihan
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  • School of Business and Management, Jilin University, Changchun 130012

Received date: 2023-01-03

  Revised date: 2023-04-28

  Online published: 2023-08-03

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Abstract

[Purpose/Significance] To comply with the trend of healthcare informatics research shifting from sectional to systematic, this paper suggests providing a comprehensive healthcare big data value mining framework that contains multiple tools, methods, and management applications, aiming at integrating massive multisource heterogeneous data in healthcare and deeply mining hidden core values.[Method/Process] Based on the systematical combination of relevant research and practice at home and abroad, this study built a comprehensive healthcare big data value mining framework by taking the data life cycle theory as the basic logic and embedding corresponding target values, methods, and management in each progress. The framework's purpose was to break through the bottleneck in the implementation of big data analytics in healthcare and to realize the value innovation of big data in healthcare.[Result/Conclusion] The comprehensive healthcare big data value mining framework contains five phases:data collection, data integration, value mining, data visualization, and data management. The value objectives and the set of mechanisms at each progress can meet the general needs of current research and practice and have contributed to the improvement of applications in areas including public healthcare and personal healthcare.

Key words： big data in healthcare; health informatics; value mining; big data analytics; cloud computing

Cite this article

Zhang Weidong , Chen Xipeng , Yang Sihan . Construction of Value Mining Analytical Framework for Big Data in Healthcare[J]. Library and Information Service, 2023 , 67(15) : 35 -43 . DOI: 10.13266/j.issn.0252-3116.2023.15.004

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