Navigating the balance: Ethics at the crossroads of healthcare data security and patient privacy

This article examines the complex ethical challenges at the intersection of healthcare data security and patient privacy in an increasingly digital healthcare landscape. As healthcare organizations adopt electronic health records, connected medical devices, and AI-driven diagnostic tools, they face fundamental tensions between protecting sensitive patient information and ensuring necessary access for clinical care, research, and public health initiatives. The article analyzes four key ethical dimensions: the balance between privacy protection and clinical accessibility, evolving concepts of patient consent and data ownership, implications of AI and big data analytics in healthcare, and limitations of current regulatory frameworks. Through examination of empirical evidence and case studies, the article demonstrates how overly restrictive security measures can impede emergency care and research progress, while inadequate protections risk patient trust and confidentiality. The article concludes by proposing an ethical framework based on proportionality, transparency, justice, and accountability, alongside recommendations for healthcare organizations, policymakers, and technology developers to implement privacy-enhancing technologies and governance structures that support both robust protection and appropriate accessibility of healthcare data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17365235
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Navigating the balance: Ethics at the crossroads of healthcare data security and patient privacy

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Navigating the balance: Ethics at the crossroads of healthcare data security and patient privacy

article en

Abstract

This article examines the complex ethical challenges at the intersection of healthcare data security and patient privacy in an increasingly digital healthcare landscape. As healthcare organizations adopt electronic health records, connected medical devices, and AI-driven diagnostic tools, they face fundamental tensions between protecting sensitive patient information and ensuring necessary access for clinical care, research, and public health initiatives. The article analyzes four key ethical dimensions: the balance between privacy protection and clinical accessibility, evolving concepts of patient consent and data ownership, implications of AI and big data analytics in healthcare, and limitations of current regulatory frameworks. Through examination of empirical evidence and case studies, the article demonstrates how overly restrictive security measures can impede emergency care and research progress, while inadequate protections risk patient trust and confidentiality. The article concludes by proposing an ethical framework based on proportionality, transparency, justice, and accountability, alongside recommendations for healthcare organizations, policymakers, and technology developers to implement privacy-enhancing technologies and governance structures that support both robust protection and appropriate accessibility of healthcare data.

Zenodo (CERN European Organization for Nuclear Research)
Amazon (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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Navigating the balance: Ethics at the crossroads of healthcare data security and patient privacy · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS