International Research Journal of Education and Technology

This paper looks at how AI-powered healthcare chat-bots can improve the way patients engage with their healthcare providers and make healthcare services more efficient. Using a language model called LLAMA3, the chat- bot can understand and respond to patients' questions in real time, helping them with symptom checks, health advice, and general medical information. In tests, the chat-bot showed that it can significantly boost patient satisfaction by offering quick and easy access to healthcare, especially in places where medical resources are limited. By taking care of routine tasks, the chat-bot allows doctors and nurses to focus on more serious cases, making the whole healthcare process smoother. However, there are some challenges that need to be addressed, such as making sure the chat-bot’s medical advice is always accurate, protecting patient data, and integrating these systems into existing healthcare setups without replacing human expertise. The paper highlights the importance of following privacy laws like HIPAA and GDPR, and stresses that AI should support, not replace, healthcare professionals. While these chat-bots have the potential to make healthcare more accessible and efficient, it's important to ensure data security, ethical use, and proper integration. If done right, AI chat-bots could revolutionize healthcare by providing scalable and personalized solutions to meet the growing needs of patients.

Keywords – AI-Healthcare chat-bots, Large Language Model, Natural language processing, Personalized healthcare, Symptom analysis.