Unpacking Privacy Calculus and Interplay of Data Privacy and Healthcare: Paths Towards Safeguarding Patient Empowerment

Nazmus Sakib, Hari Sai Jogesh Veeramalla, Nisarga Allu Raghu Naidu, Fahim Islam Anik, Lakshman Reddy Vanga, Maria Valero, Eklas Hossain

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The modern healthcare landscape is mainly data-driven, with clinical and consumer uses for patient data. Moreover, patient data is used for research and analytics to enhance healthcare results. Yet, this exponential expansion of data is accompanied by grave privacy risks, including data breaches and unlawful access. This chapter examines the data privacy implications of the contemporary healthcare environment and identifies seven significant challenges. In addition, we investigate the idea of privacy calculus and how it impedes patient empowerment and healthcare management effectiveness in the healthcare ecosystem. We highlight the influence of privacy calculus on patients, healthcare professionals, and researchers through five case studies. Lastly, we explore prevalent healthcare rules, their aims, and their primary purposes, and suggest how they might be used to solve privacy calculus. This chapter illuminates the crucial need for privacy protection in the healthcare business and the steps that may be taken to preserve patient data while advancing healthcare research and administration.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Science and Business Media Deutschland GmbH
Pages137-171
Number of pages35
DOIs
StatePublished - 2023

Publication series

NameStudies in Computational Intelligence
Volume1112
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Keywords

  • Data privacy
  • Healthcare
  • Patient empowerment
  • Privacy calculus
  • Privacy paradox

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