Healthcare technologies are increasingly reshaping how diseases are detected, monitored, treated, and managed across healthcare systems. Advances in artificial intelligence (AI), digital health, remote monitoring, advanced medical devices, and data-driven clinical infrastructures are creating important opportunities to improve prevention, diagnostic accuracy, personalisation of care, workflow efficiency, and long-term healthcare sustainability within the framework of predictive, preventive, personalized, and participatory medicine (4P Medicine). However, despite growing technological sophistication and investment, many innovations fail to achieve scalable and sustainable implementation in real-world clinical environments. This narrative review critically examines the systemic factors that condition the successful translation of healthcare technologies into routine clinical practice, with particular emphasis on the European and Spanish contexts. Rather than focusing exclusively on technological performance, the review analyses the broader regulatory, organisational, financial, ethical, and governance challenges that shape implementation. Key areas discussed include technology transfer, regulatory frameworks, health data governance, and the organisational challenges associated with implementing AI-driven healthcare technologies. The central argument of this review is that the real-world impact of healthcare innovation depends less on technological capability itself than on the capacity of healthcare systems to support validation, regulation, implementation, workforce adaptation, interoperability, and long-term governance. Consequently, the principal challenge for contemporary healthcare systems is no longer simply how to develop new technologies, but how to integrate them safely, equitably, and sustainably into routine clinical practice.