Trust, Responsibility, and Quality in Digital Health: Qualitative Insights Into the Enhancement of Health Information Systems

Digital health technologies have revolutionised healthcare delivery by improving accessibility, efficiency, and patient outcomes. However, persistent challenges in trust, responsibility, and quality hinder the optimal development of health information systems (HIS). This study aims to provide a comprehensive qualitative understanding of these three critical dimensions and their interplay in digital health environments. Employing a qualitative literature review methodology, data were systematically collected from 80 peer-reviewed articles retrieved from various academic databases. The selected literature was analysed using thematic synthesis, focusing on both conceptual frameworks and empirical findings relevant to trust, responsibility, and quality within HIS. The analysis reveals that trust is primarily shaped by concerns about data privacy, transparency in processes, and the robustness of institutional governance, which directly impact user adoption and sustained engagement with digital platforms. Responsibility is identified as a complex and evolving issue, marked by unclear accountability in multi-stakeholder digital health ecosystems, necessitating clearer ethical guidelines and formalised accountability mechanisms. Quality is multifaceted, encompassing data accuracy, system reliability, interoperability, and usability, all crucial to ensuring clinical effectiveness and user satisfaction. The findings demonstrate that trust, responsibility, and quality are deeply interrelated, with improvements in one area positively influencing the others, suggesting the need for integrated approaches in system design and policy-making