Exploring the Future of Prompt Engineering in Healthcare: Mission and Vision, Methods, Opportunities, Challenges, Issues and Their Remedies, Contributions, Advantages, Disadvantages, Applications, and Algorithms

Prompt engineering in healthcare has appeared as a significant factor in improving the various technologies in the medical field, with a particular focus on disease diagnosis and curing. This research paper focuses on the importance of creating proper prompts that improve the efficiency of the healthcare system, especially in diseases such as cancers, including breast and lung cancers, heart-related issues, and various other diseases. This also helps healthcare experts and researchers diagnose diseases earlier, provide patient care, and select the suitable treatment after diagnosis. The research discovers various prompt generation methods and their impact on healthcare, including simple rule-based systems and machine learning algorithms. The paper also discusses various ethical considerations in prompt engineering as confidential medical information will be present, particularly in disease diagnosis. By studying several case studies and relevant literature, this paper focuses on contributing valuable data to prompt engineering in the healthcare domain. It focuses on improving the early detection and management of diseases like cancer, heart-related diseases, and various others. This work ultimately focuses on making the healthcare system more advanced and making the patient’s life much better and easier.