Digital twins represent one of the most prominent emerging technologies in the fields of biomedical engineering and intelligent healthcare systems. They are based on creating a digital model that accurately simulates the characteristics of a patient, medical devices and equipment, or operational processes within a hospital. This model enables the simulation of multiple scenarios and the analysis of their potential outcomes before implementation in the real world, supporting more accurate and efficient medical and operational decision-making. In healthcare, digital twins can be used to create virtual models of a patient’s organs and health condition, allowing physicians to simulate potential responses to different treatments before they are actually administered. They can also assist doctors and surgeons in studying treatment procedures and pathways, assessing potential risks, and selecting the most appropriate strategy for each case. This can help reduce the likelihood of errors and improve healthcare outcomes. At the institutional level, digital twins can be used to simulate patient flow within hospitals, manage medical equipment and devices, analyze resource consumption, and evaluate the efficiency of operational processes. This enables healthcare administrators to identify areas of inefficiency, optimize resource allocation, and predict potential operational bottlenecks and crises before they occur, thereby enhancing hospital preparedness and response capabilities. The effectiveness of digital twins is further enhanced when integrated with artificial intelligence, the Internet of Things, and data analytics. These technologies enable digital twins to utilize continuously generated health and operational data to analyze real-world conditions, identify patterns, and provide recommendations and predictions that support faster and more accurate decision-making. The significance of this technology lies in its ability to combine real-world data, digital simulation, and intelligent analysis within an integrated environment, making it a promising tool for reshaping the future of healthcare. As digital twin technology continues to evolve, it can contribute to developing smarter and more predictive hospitals, improving clinical and operational efficiency, and enabling healthcare institutions to better prepare for a wide range of future health challenges. Al-Mustaqbal University is the first one university in Iraq.