Large language models (LLMs) and transformers show incredible potential in changing various aspects of healthcare. There is a wide range of interventions that these advanced technologies can bring about, such as, most critically, analysis and understanding of medical records, disease prediction, as well as an intelligent medical chatbot for communication with patients. This paper is an application of these models only within the healthcare domain. In this paper, we implement the use of LLMs in medical report analysis and personalized treatment recommendations; and the application of transformers in natural language processing (NLP) for extracting relevant information from electronic medical records. A key vision for this application is how to design an intelligent medical chatbot that will help both patients and clinicians with their daily tasks. I argue that this technology could streamline the capacity of healthcare to improve patient care and support informed decision-making while minimizing administrative burdens. Through this paper, we emphasize the pivotal role of Large Language Models and transformers towards realizing the dream of patient-centered medicine.