Volume 10, Issue 3 (2025)
Manage Strat Health Syst 2025, 10(3): 175-187 |
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Ethics code: IR.US.PSYEDU.REC.1403.108
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Ronaghi M H, Ghorashi S M. Applications of Digital Twin Technology in Healthcare: A Systematic Review. Manage Strat Health Syst 2025; 10 (3) :175-187
URL: http://mshsj.ssu.ac.ir/article-1-856-en.html
URL: http://mshsj.ssu.ac.ir/article-1-856-en.html
1- Associate Professor, Department of Management, School of Economics Management and Social Sciences, Shiraz University, Shiraz, Iran , mh_ronaghi@shirazu.ac.ir
2- MA in Business Management, Department of Management, School of Economics Management and Social Sciences, Shiraz University, Shiraz, Iran
2- MA in Business Management, Department of Management, School of Economics Management and Social Sciences, Shiraz University, Shiraz, Iran
Abstract: (178 Views)
Background: A Digital Twin (DT) is a digital replica of a physical object, person, system, or process, contextualized in a digital version of its environment. DTs can serve as a powerful tool to optimize processes, enhance the efficiency of healthcare systems, and create new opportunities for improving care delivery. Accordingly, this study aims to provide a comprehensive insight into DT technology and to examine its applications, opportunities, and challenges in the healthcare domain.
Methods: In this study, articles were retrieved by searching the keywords Digital Twin Technology, Health System, Digital Health, and Digital Technology. Relevant studies published between 2020 and 2025 were collected from reputable databases including PubMed, Web of Science, Google Scholar, and Scopus. Out of 87 initially collected articles, 21 were included in this review and analyzed. Finally, following the PRISMA framework, a systematic review of the existing literature was conducted.
Results: The results showed that digital twin technology can play a role in the areas of personalized medicine, remote monitoring, precision medicine, predictive analytics, preventive interventions, clinical operations optimization, training, simulation, and optimization of hospital management and resources.
Conclusion: Despite the identification of various applications of digital twins in the health system, this technology is still an emerging technology in health systems. Health policymakers, especially in the education sector, can provide a suitable platform for learning educational courses and facilitating medical service processes by investing in the implementation of digital twin technology.
Methods: In this study, articles were retrieved by searching the keywords Digital Twin Technology, Health System, Digital Health, and Digital Technology. Relevant studies published between 2020 and 2025 were collected from reputable databases including PubMed, Web of Science, Google Scholar, and Scopus. Out of 87 initially collected articles, 21 were included in this review and analyzed. Finally, following the PRISMA framework, a systematic review of the existing literature was conducted.
Results: The results showed that digital twin technology can play a role in the areas of personalized medicine, remote monitoring, precision medicine, predictive analytics, preventive interventions, clinical operations optimization, training, simulation, and optimization of hospital management and resources.
Conclusion: Despite the identification of various applications of digital twins in the health system, this technology is still an emerging technology in health systems. Health policymakers, especially in the education sector, can provide a suitable platform for learning educational courses and facilitating medical service processes by investing in the implementation of digital twin technology.
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