Imagine a healthcare system where data entry is automated, patient monitoring happens in real-time, and complex medical information is readily accessible to both doctors and patients. This is the potential of Large Language Models (LLMs) integrated into Healthcare Cyber-Physical Systems (HCPS), as explored in recent research. HCPS, the backbone of modern healthcare, combine physical and cyber elements to automate procedures and inform medical decisions. However, they face challenges like fragmented data, complex interpretations, and manual processing inefficiencies. LLMs offer a solution by leveraging their advanced AI capabilities to streamline data collection, enhance accuracy, and facilitate intuitive patient-provider interactions. By integrating LLMs into various HCPS layers – data collection, management, and application services – we can transform how healthcare is delivered. For example, at the data collection layer, patients could interact with an LLM through a natural language interface, automating medical history entry and reducing human error. Real-time monitoring becomes possible, alerting professionals to changes in a patient’s health. The data management layer, powered by LLMs, could improve data handling and analysis, while the application service layer could enable visual data analysis and personalized patient portals. Imagine a doctor querying a patient's family history in plain English, the LLM translating this into database queries, and then presenting the results in an easily understandable graph. While the potential is immense, integrating LLMs into HCPS presents challenges, particularly around privacy, security, and ethical considerations. Ensuring data protection, preventing algorithmic bias, and maintaining patient-doctor trust are crucial. Furthermore, the cost and technical complexities of integrating these advanced technologies must be addressed. Despite these hurdles, the integration of LLMs into healthcare holds the promise of revolutionizing the industry. It offers a future where technology empowers both patients and healthcare providers, ultimately leading to better outcomes and a more efficient system.