Doctor Patient

Doctor-patient interaction is a critical area of healthcare research focusing on improving communication efficiency and quality. Current research heavily utilizes large language models (LLMs), often employing techniques like reinforcement learning and prompt engineering, to automate tasks such as clinical note generation, information extraction from conversations, and even generating empathetic responses. These advancements aim to alleviate clinician workload, improve diagnostic accuracy, and enhance patient care, particularly in resource-constrained settings. The ultimate goal is to develop AI-powered systems that augment, not replace, human interaction, leading to more efficient and effective healthcare delivery.