Digital twin for healthcare systems

Frontiers in Digital Health

Digital Health

Alexandre Vallée¹ 

[1] Correspondence:;

关键词: healthcare;    patient;    digital health;    digital twin;    patient safety;    innovation;    prediction;   

DOI  :  10.3389/fdgth.2023.1253050

 received in 2023-07-04, accepted in 2023-08-28,  发布年份 2023

来源: Frontiers

【 摘 要 】

Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather and analyze a wealth of patient data from various sources, digital twins can offer personalized treatment plans based on individual characteristics, medical history, and real-time physiological data. Predictive analytics and preventive interventions are made possible by machine learning algorithms, allowing for early detection of health risks and proactive interventions. Digital twins can optimize clinical operations by analyzing workflows and resource allocation, leading to streamlined processes and improved patient care. Moreover, digital twins can provide a safe and realistic environment for healthcare professionals to enhance their skills and practice complex procedures. The implementation of digital twin technology in healthcare has the potential to significantly improve patient outcomes, enhance patient safety, and drive innovation in the healthcare industry.

【 授权许可】

Unknown   
© 2023 Vallée.