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Digital transformation in the healthcare industry has propelled it to an unprecedented likelihood of cloud computing platforms for storing and analyzing data. This research explores the critical intersection of data security, privacy preservation, and analytical capability in healthcare cloud environments. This study identifies key challenges and also promising solutions to protect sensitive healthcare data and yet allows its use for analysis, through a comprehensive analysis of current literature and industry practices. From our findings, we find that secure data analysis is possible without depriving confidentiality, with the help of innovative technologies like homomorphic encryption and federated learning.

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Protection and Analysis of Healthcare Data in Cloud Computing Environments: A Comprehensive Review of Security Measures and Analytical Methods

  • 章节

  • 发表日期：

    2026年

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  • Anber Abraheem Shlash Mohammad,
  • Suleiman Ibrahim Shelash Mohammad,
  • Asokan Vasudevan,
  • Khaleel Ibrahim Al-Daoud,
  • Suhaila Abuowaida,
  • Dheifallah Ibrahim Mohammad,
  • Mowafaq Salem Alzboon,
  • Mutaz Abdel Wahed,
  • Vilkineswaran A. Maniam

摘要

Digital transformation in the healthcare industry has propelled it to an unprecedented likelihood of cloud computing platforms for storing and analyzing data. This research explores the critical intersection of data security, privacy preservation, and analytical capability in healthcare cloud environments. This study identifies key challenges and also promising solutions to protect sensitive healthcare data and yet allows its use for analysis, through a comprehensive analysis of current literature and industry practices. From our findings, we find that secure data analysis is possible without depriving confidentiality, with the help of innovative technologies like homomorphic encryption and federated learning.