In the rapidly evolving landscape of smart healthcare, the efficient and reliable transmission of nutritional data is crucial for personalized patient care and health monitoring. The integration of advanced telecommunication techniques within these systems offers the potential to significantly enhance the accuracy, speed, and security of data transmission, thereby improving the overall effectiveness of healthcare delivery. This paper explores the application of cutting-edge telecommunication technologies, including 5G networks, Internet of Things (IoT) devices, and edge computing, in the context of nutritional data transmission. The convergence of these technologies enables real-time data collection and processing, minimizing latency and ensuring that critical nutritional information is available to healthcare providers and patients promptly. Key challenges such as data privacy, network congestion, and energy efficiency are addressed through innovative solutions like blockchain technology for secure data exchange, network slicing for optimized bandwidth allocation, and machine learning algorithms for predictive data analytics. The paper also discusses the role of artificial intelligence (AI) in enhancing data compression techniques and adaptive modulation schemes, which are essential for maintaining data integrity and reducing transmission errors in varying network conditions. By leveraging these advanced telecommunication techniques, smart healthcare systems can deliver more accurate and timely nutritional recommendations, tailored to individual patient needs. This not only supports better patient outcomes but also contributes to the broader goals of preventive healthcare and chronic disease management. The paper concludes by outlining future research directions, including the integration of quantum communication technologies and the development of standardized protocols for cross-platform interoperability in smart healthcare ecosystems.