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The Virtual Revolution of Digital Twins in Chronic Healthcare Management
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Author(s): M. Lavanya (Kings Engineering College, India), A. Ashwini (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)and S. Balasubramaniam (Kerala University of Digital Sciences, Innovation and Technology, India)
Copyright: 2025
Pages: 32
Source title:
AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans
Source Author(s)/Editor(s): Balasubramaniam S. (Kerala University of Digital Sciences, Innovation, and Technology, India)and Seifedine Kadry (Lebanese American University, Lebanon & Noroff University College, Norway)
DOI: 10.4018/979-8-3373-0538-7.ch006
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Abstract
The introduction of digital twin technology is transforming chronic disease management and ushering in a new era of precision medicine and proactive care. The concept of the digital twin is a virtual representation of a physical entity that uses real-time data to provide a comprehensive and up-to-date health status of the patient. In the context of chronic disease management, these digital counterparts allow healthcare providers to monitor the patient in real-time, predict disease progression and develop personalized treatment strategies. This paradigm shift enables patients and physicians to move from reactive to predictive and preventive care. The integration of the digital twin into chronic disease management is not without its challenges. Issues such as data privacy, interoperability and the need for a robust computing infrastructure need to be addressed to realize its full potential. By fostering collaboration between healthcare providers, this innovation can redefine the future of healthcare and deliver more effective solutions for chronic disease management.
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