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Building Trust in AI: Governance, Ethics, and Compliance in Healthcare

Year: 2025

Type: article

Abstract: This article explores the essential frameworks required to build trustworthy AI in healthcare, focusing on governance, ethical safeguards, and regulatory compliance. It highlights why healthcare organizations must adopt transparent data practices, implement strong oversight mechanisms, and align with standards such as HIPAA, GDPR, and FDA guidance on AI/ML-based medical software. The article emphasizes how governance structures, ethical risk assessments, and continuous compliance monitoring can collectively strengthen safety, reliability, and patient trust in AI-driven clinical systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17624864

Author: Ramamoorthy, Selvamurugan

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7105828128

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