The rapid expansion of digital health technologies such as telemedicine, electronic health records (EHRs), artificial intelligence (AI), wearable devices, and mobile health applications is transforming healthcare delivery across the world. These innovations promise improved efficiency, better patient outcomes, and expanded access to care. However, integrating these technologies into existing healthcare systems presents multiple challenges that are technological, organizational, financial, ethical, and regulatory in nature. One of the primary challenges is the issue of interoperability. Many healthcare systems rely on legacy infrastructure that was not designed to communicate with modern digital platforms. Different hospitals and clinics often use incompatible software systems, making it difficult to exchange patient data seamlessly. This fragmentation leads to duplication of tests, delays in treatment, and inefficiencies in care coordination. Without standardized data formats and communication protocols, the full potential of digital health technologies cannot be realized. Another significant challenge is data privacy and security. Digital health systems involve the storage and transmission of sensitive patient information, which makes them attractive targets for cyberattacks. Breaches can compromise patient confidentiality and erode trust in healthcare institutions. The implementation of technologies such as cloud computing and AI further complicates data governance, as data may be stored across multiple locations and processed by third-party providers. Ensuring compliance with data protection laws and maintaining robust cybersecurity frameworks are critical yet complex tasks. Financial constraints also pose a major barrier to integration. The adoption of advanced digital technologies requires substantial investment in infrastructure, software, training, and maintenance. Many healthcare institutions, especially in low- and middle-income regions, operate under limited budgets and may struggle to justify the high initial costs despite long-term benefits. Additionally, unclear reimbursement policies for services like telemedicine can discourage providers from adopting these technologies. Resistance to change among healthcare professionals is another important issue. Doctors, nurses, and administrative staff may be hesitant to adopt new technologies due to lack of familiarity, fear of increased workload, or concerns about the reliability of digital tools. The introduction of AI-based decision support systems, for example, may be perceived as a threat to clinical autonomy. Without adequate training and change management strategies, the adoption