Cross-Industry AI Applications in Digital Transformation: Tourism and Healthcare Integration

Abstract

Artificial intelligence (AI) has become a central driver of digital transformation across multiple industries, reshaping governance structures, service systems, and institutional decision-making processes. This study examines how AI applications in tourism and healthcare reflect a shared cross-industry transformation logic rather than isolated sector-specific innovations. By situating AI within the broader framework of digital transformation, the analysis highlights how datafication, automation, platformization, intelligence, and integration collectively redefine organizational practices and policy coordination mechanisms. Tourism is identified as an early innovator in smart platforms, experience analytics, and data-driven governance, while healthcare represents a high-stakes application context where similar transformation models are adapted for system planning, resource coordination, and institutional oversight. Despite differences in service content and regulatory environments, both sectors rely on comparable digital infrastructures, AI application models, and governance frameworks to modernize decision-making and improve operational efficiency. The study demonstrates that AI functions as a transformation engine that enables predictive governance, smart services, intelligent coordination, and data-driven policy integration. These outcomes contribute to governance modernization, service innovation, institutional alignment, and efficiency gains across industries. Public trust and institutional legitimacy are strengthened through transparent digital governance, cross-sector regulation, and accountable data stewardship. By adopting a cross-industry perspective, this research positions healthcare AI as part of a broader digital transformation process rather than a standalone medical innovation. Tourism serves as the methodological origin of many smart system practices, while healthcare illustrates their institutional application. The findings confirm that digital transformation logic is systemic, transferable, and fundamentally reshapes how modern organizations govern, coordinate, and innovate through AI-enabled infrastructures.