 This study aims to provide guidance on integrating generative AI and large language models into health care and medical practices, highlighting the distinct mechanisms underpinning these technologies such as reinforcement learning from human feedback, RLFH, and emphasizing the need for an inclusive, collaborative co-design process that engages all stakeholders. The study also examines both opportunities and challenges in global research, including ethical and legal dimensions, and suggests continued innovation in data acquisition, model fine-tuning, prompt strategy development, evaluation, and system implementation is necessary to realize the full potential of these technologies. Organizations should proactively engage with these technologies to improve health care quality, safety, and efficiency while adhering to ethical and legal guidelines for responsible application. This article was authored by Pinyu, Hua Su, Xia Hu, and others. We are article.tv, links in the description below.