Ethical Governance and Privacy in AI-Enhanced Healthcare Strategies for Safeguarding Patient Data and Trust

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Authors: António Miguel Pesqueira, Sama Bolog
Cited by: 1
References: 23

Abstract

This article examines the ethical considerations and privacy risks associated with deploying Gen-AI and LLMs in healthcare management, particularly safeguarding patient data and ensuring public trust and transparency. Using a qualitative study design, the research involved focus groups with 22 healthcare professionals, including physicians, nurses, and decision-makers in the life sciences, to gather diverse perspectives on these issues, aiming to explore how Gen-AI and LLMs can reshape healthcare systems when supported by robust ethical standards and patient privacy protections.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI COVID-19 Digital Contact Tracing

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
775–796
Publication date
31 March 2026
Document type
Book chapter