Automated Intelligent Mutation of COVID-19 Management: A Revolutionary Connect

COVID-19 has significantly affected the healthcare management system and has posed healthcare workers with issues that need a response approach and accuracy. The objective of this research paper is to analyze how the use of Intelligent Automation Technologies, including Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) can be applied to enhance COVID-19 management. The objective is to achieve an integrated, self-optimizing system that augments data acquisition, analysis, and treatment with real-time process control. It will also include the recommended approaches to implementing technologies such as RPA to capture data from various sources for healthcare organizations. Other methodologies will also incorporate AI/ML for diagnosis, in which tools such as CT and X-ray are used, and the health system needs to recommend the proper care. The research indicates that automation reduces reliance on manual procedures, improves the rate of data processing and analysis, and sharpens diagnostic capabilities, thus leading to faster clinical decisions. This paper proves that such technologies can redefine approaches implemented to combat the pandemic and ensure that the healthcare system is sustainable and efficient. This integration is thought to be a significant improvement in the process of developing automated healthcare service systems and management intelligent systems.