Digital Twin in Hospitals: An Intelligent Simulation Model for Enhancing Medical Decision-Making (Asst. Lecturer Najat Jameed Jassim)

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The concept of the “digital twin” is considered one of the most innovative developments in biomedical engineering and intelligent healthcare systems. It is based on creating a digital replica of a patient, medical devices, or even an entire hospital environment. This model enables the simulation and precise analysis of various scenarios, supporting highly efficient clinical and operational decision-making. In the medical field, a digital twin can represent a virtual copy of a patient’s organs, which can be used to simulate treatments before actual implementation. This allows surgeons to test optimal surgical approaches, understand potential risks, and determine the most effective treatment strategies, thereby reducing errors and increasing success rates. At the hospital level, digital twins can be used to model patient flow, equipment operation, and resource consumption. This enables healthcare institutions to improve performance and predict potential health crises before they occur. Moreover, digital twins can be integrated with artificial intelligence to analyze real-time data and provide immediate recommendations. The strength of this model lies in its ability to combine real-world data with intelligent simulation, making it a strategic tool for advancing future healthcare. With this technology, hospitals are transformed into smarter, more predictive, and better-prepared environments for both operational and clinical challenges. Al-Mustaqbal University is the first one university in Iraq.