Data Governance Models for Telehealth Platforms: Ensuring Transparency, Accountability, and Ethical Compliance

Abstract

The rapid expansion of telehealth platforms has transformed healthcare delivery, enabling remote consultations, real-time monitoring, and digital patient engagement on a global scale. However, this growth has intensified concerns regarding the governance of sensitive health data that flows continuously across interconnected digital systems. This research paper examines data governance models applicable to telehealth ecosystems, focusing on transparency, accountability, and ethical compliance as foundational pillars. Through an analytical review of governance frameworks, regulatory policies, and emerging digital ethics principles, this study identifies the operational requirements necessary to safeguard data integrity, prevent misuse, and promote user trust. Case studies from diverse healthcare systems are used to illustrate practical challenges related to consent management, cross-border data exchange, AI-driven decision-making, and proprietary platform architectures. The findings demonstrate that robust data governance mechanisms—powered by standardized protocols, dynamic consent structures, privacy-preserving technologies, and multi-stakeholder oversight—are essential for ensuring secure and ethically aligned telehealth operations. The paper concludes with strategic policy recommendations and a roadmap for health institutions seeking to adopt sustainable, transparent, and accountable telehealth data governance frameworks.