Natural Language Processing (NLP) bridges the gap between human language and machine understanding, allowing computers to process and analyse vast amounts of unstructured text data. It has become a transformative tool in the medical field, enabling healthcare professionals, researchers, and institutions to derive actionable insights from vast amounts of unstructured and semi-structured medical data. Medical NLP is profoundly reshaping the landscape of medicine, unlocking the potential for improved patient care, clinical research, and operational efficiency. The advent of social media has revolutionized numerous aspects of human life, from communication to commerce. By empowering patients to stay informed and involved in their own care, NLP technologies help build a patient-centred healthcare ecosystem that emphasizes collaboration and transparency. As NLP technology continues to evolve, it will be essential to remain vigilant about its ethical implications, especially within the realm of patient-centred care. Emerging fields like ethical AI, explainable AI, and responsible AI offer promising approaches for ensuring that NLP applications align with the principles of patient autonomy, privacy, fairness, and transparency. Further research is needed to establish best practices for deploying NLP in ways that enhance care without undermining ethical standards. This chapter presents different applications of natural language processing in healthcare, how it impacts patient care, and what are the different ethical considerations needed to be taken care of.