Digital twin hospitals: transforming the future of healthcare_Journal of Biomedical Engineering

Authors：

HU Huijuan ¹ , WANG Mingbang ¹ , LEI Qifang ¹ , YANG Kai ¹ , SUN Haiyan ¹ , LIU Xiaocen ¹ ,  WU Song ^1,2

1. Key Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China;
2. Institute for Hospital Management, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China;

Corresponding author：

Keywords：

Digital twin hospital; Visualization; Real-time monitoring; Personalization; Smart healthcare

DOI：

10.7507/1001-5515.202310041

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Since the concept of digital twin technology has been put forward, after decades of rapid development and wide application, it has not only made great achievements in many fields, but also brought broader prospects for the development of the medical field. As an important trend in the medical industry, digital twin hospitals play multiple roles by connecting physical hospitals and virtual hospitals and benefit the “patient-medical staff-hospital administrators”, highlighting the immeasurable promising application of digital twin technology in smart hospitals. This review takes digital twin technology as an entry point, briefly introduces the progress of its application in various fields, focuses on the characteristics of digital twin technology, practical application cases in hospitals and their limitations, and also looks forward to its future development prospects, aiming to provide certain useful insights and guidance for the future of digital twin hospitals, and also expecting it to play an important role in changing the future of healthcare to a certain extent.

Citation： HU Huijuan, WANG Mingbang, LEI Qifang, YANG Kai, SUN Haiyan, LIU Xiaocen, WU Song. Digital twin hospitals: transforming the future of healthcare. Journal of Biomedical Engineering, 2024, 41(2): 376-382. doi: 10.7507/1001-5515.202310041 Copy

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2.	Asad U, Khan M, Khalid A, et al. Human-centric digital twins in industry: a comprehensive review of enabling technologies and implementation strategies. Sensors (Basel), 2023, 23(8): 3938.
3.	Li Y, Zhang W. Traffic flow digital twin generation for highway scenario based on radar-camera paired fusion. Sci Rep, 2023, 13(1): 642.
4.	Yeon H, Eom T, Jang K, et al. DTUMOS, digital twin for large-scale urban mobility operating system. Sci Rep, 2023, 13(1): 5154.
5.	Ye X, Du J, Han Y, et al. Developing human-centered urban digital twins for community infrastructure resilience: a research agenda. J Plan Lit, 2023, 38(2): 187-199.
6.	Sun T, He X, Li Z. Digital twin in healthcare: recent updates and challenges. Digital Health, 2023, 9: 20552076221149651.
7.	刘丹, 何玲, 杨砥, 等. 人体骨骼肌数字孪生体技术研究进展. 生物医学工程学杂志, 2023, 40(4): 784-791.
8.	Cheng W, Lian W, Tian J. Building the hospital intelligent twins for all-scenario intelligence health care. Digital Health, 2022, 8: 20552076221107894.
9.	Keller J, Lindenmeyer A, Blattmann M, et al. Using digital twins to support multiple stages of the patient journey. Stud Health Technol Inform, 2023, 301: 227-232.
10.	Bjelland Ø, Rasheed B, Schaathun H G, et al. Toward a digital twin for arthroscopic knee surgery: a systematic review. IEEE Access, 2022, 10: 45029-45052.
11.	Dang J, Lal A, Montgomery A, et al. Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit. BMC Neurol, 2023, 23(1): 161.
12.	Zackoff M W, Rios M, Davis D, et al. Immersive virtual reality onboarding using a digital twin for a new clinical space expansion: a novel approach to large-scale training for health care providers. J Pediatr, 2023, 252: 7-10,e3.
13.	James L. Digital twins will revolutionise healthcare: digital twin technology has the potential to transform healthcare in a variety of ways-improving the diagnosis and treatment of patients, streamlining preventative care and facilitating new approaches for hospital planning. Engineering & Technology, 2021, 16(2): 50-53.
14.	Liu Y, Zhang L, Yang Y, et al. A novel cloud-based framework for the elderly healthcare services using digital twin. IEEE Access, 2019, 7: 49088-49101.
15.	El Azzaoui A, Kim T W, Loia V, et al. Blockchain-based secure digital twin framework for smart healthy city //15th International Conference on Future Information Technology (Future Tech 2020), Jeju: Lecture Notes in Electrical Engineering, 2021, 716: 107-113.
16.	Webster C S, Scheeren T W L, Wan Y I. Patient monitoring, wearable devices, and the healthcare information ecosystem. Br J Anaesth, 2022, 128(5): 756-758.
17.	Germini F, Noronha N, Borg Debono V, et al. Accuracy and acceptability of wrist-wearable activity-tracking devices: systematic review of the literature. J Med Internet Res, 2022, 24(1): e30791.
18.	Pagano T P, Dos Santos L L, Santos V R, et al. Remote heart rate prediction in virtual reality head-mounted displays using machine learning techniques. Sensors (Basel), 2022, 22(23): 9486.
19.	彭仲康, 崔兴然, 张政波, 等. 可穿戴设备: 评估与监测人体生理状态的展望. 生物医学工程学杂志, 2023, 40(6): 1045-1052.
20.	邵盛奇, 樊凯, 李杜娟, 等. 可穿戴无创葡萄糖传感器在糖尿病管理中的应用进展. 中国生物医学工程学报, 2022, 41(6): 732-743.
21.	Wang M, Yang Y, Min J, et al. A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. Nat Biomed Eng, 2022, 6(11): 1225-1235.
22.	Falkowski P, Osiak T, Wilk J, et al. Study on the applicability of digital twins for home remote motor rehabilitation. Sensors (Basel), 2023, 23(2): 911.
23.	Lv Z, Guo J, Lv H. Deep learning-empowered clinical big data analytics in healthcare digital twins. IEEE/ACM Trans Comput Biol Bioinform, 2023, DOI: 10.1109/TCBB.2023.3252668.
24.	Kurakova N G, Tsvetkova L A, Polyakova Y V. Digital twins in surgery: achievements and limitations. Khirurgiia (Mosk), 2022, 2022(5): 97-110.
25.	Kwon H, An S, Lee H Y, et al. Review of smart hospital services in real healthcare environments. Healthc Inform Res, 2022, 28(1): 3-15.
26.	Peng Yang, Zhang Ming, Yu Fangqiang, et al. Digital twin hospital buildings: an exemplary case study through continuous lifecycle integration. Advances In Civil Engineering, 2020, DOI: 10.1155/2020/8846667.
27.	Li G, Lian W, Qu H, et al. Improving patient care through the development of a 5G-powered smart hospital. Nat Med, 2021, 27(6): 936-937.
28.	Aluvalu R, Mudrakola S, Uma Maheswari V, et al. The novel emergency hospital services for patients using digital twins. Microprocessors and Microsystems, 2023, 98: 104794.
29.	Popa E O, van Hilten M, Oosterkamp E, et al. The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks. Life Sci Soc Policy, 2021, 17(1): 6.
30.	Wang M, Hu H, Wu S. Opportunities and challenges of digital twin technology in healthcare. Chin Med J (Engl), 2023, 136(23): 2895-2896.
31.	Coorey G, Figtree G A, Fletcher D F, et al. The health digital twin: advancing precision cardiovascular medicine. Nat Rev Cardiol, 2021, 18(12): 803-804.
32.	Cho S W, Byun S H, Yi S, et al. Sagittal relationship between the maxillary central incisors and the forehead in digital twins of korean adult females. J Pers Med, 2021, 11(3): 203.
33.	Schütt M, O'farrell C, Stamatopoulos K, et al. Simulating the hydrodynamic conditions of the human ascending colon: a digital twin of the dynamic colon model. Pharmaceutics, 2022, 14(1): 184.
34.	Ahmed H, Devoto L. The potential of a digital twin in surgery. Surg Innov, 2021, 28(4): 509-510.
35.	Venkatesh K P, Raza M M, Kvedar J C. Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation. NPJ Digit Med, 2022, 5(1): 150.
36.	Hernigou P, Olejnik R, Safar A, et al. Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty. Int Orthop, 2021, 45(9): 2209-2217.

1. Touckia J K. Integrating the digital twin concept into the evaluation of reconfigurable manufacturing systems (RMS): literature review and research trend. Int J Adv Manuf Technol, 2023, 126(3-4): 875-889.
2. Asad U, Khan M, Khalid A, et al. Human-centric digital twins in industry: a comprehensive review of enabling technologies and implementation strategies. Sensors (Basel), 2023, 23(8): 3938.
3. Li Y, Zhang W. Traffic flow digital twin generation for highway scenario based on radar-camera paired fusion. Sci Rep, 2023, 13(1): 642.
4. Yeon H, Eom T, Jang K, et al. DTUMOS, digital twin for large-scale urban mobility operating system. Sci Rep, 2023, 13(1): 5154.
5. Ye X, Du J, Han Y, et al. Developing human-centered urban digital twins for community infrastructure resilience: a research agenda. J Plan Lit, 2023, 38(2): 187-199.
6. Sun T, He X, Li Z. Digital twin in healthcare: recent updates and challenges. Digital Health, 2023, 9: 20552076221149651.
7. 刘丹, 何玲, 杨砥, 等. 人体骨骼肌数字孪生体技术研究进展. 生物医学工程学杂志, 2023, 40(4): 784-791.
8. Cheng W, Lian W, Tian J. Building the hospital intelligent twins for all-scenario intelligence health care. Digital Health, 2022, 8: 20552076221107894.
9. Keller J, Lindenmeyer A, Blattmann M, et al. Using digital twins to support multiple stages of the patient journey. Stud Health Technol Inform, 2023, 301: 227-232.
10. Bjelland Ø, Rasheed B, Schaathun H G, et al. Toward a digital twin for arthroscopic knee surgery: a systematic review. IEEE Access, 2022, 10: 45029-45052.
11. Dang J, Lal A, Montgomery A, et al. Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit. BMC Neurol, 2023, 23(1): 161.
12. Zackoff M W, Rios M, Davis D, et al. Immersive virtual reality onboarding using a digital twin for a new clinical space expansion: a novel approach to large-scale training for health care providers. J Pediatr, 2023, 252: 7-10,e3.
13. James L. Digital twins will revolutionise healthcare: digital twin technology has the potential to transform healthcare in a variety of ways-improving the diagnosis and treatment of patients, streamlining preventative care and facilitating new approaches for hospital planning. Engineering & Technology, 2021, 16(2): 50-53.
14. Liu Y, Zhang L, Yang Y, et al. A novel cloud-based framework for the elderly healthcare services using digital twin. IEEE Access, 2019, 7: 49088-49101.
15. El Azzaoui A, Kim T W, Loia V, et al. Blockchain-based secure digital twin framework for smart healthy city //15th International Conference on Future Information Technology (Future Tech 2020), Jeju: Lecture Notes in Electrical Engineering, 2021, 716: 107-113.
16. Webster C S, Scheeren T W L, Wan Y I. Patient monitoring, wearable devices, and the healthcare information ecosystem. Br J Anaesth, 2022, 128(5): 756-758.
17. Germini F, Noronha N, Borg Debono V, et al. Accuracy and acceptability of wrist-wearable activity-tracking devices: systematic review of the literature. J Med Internet Res, 2022, 24(1): e30791.
18. Pagano T P, Dos Santos L L, Santos V R, et al. Remote heart rate prediction in virtual reality head-mounted displays using machine learning techniques. Sensors (Basel), 2022, 22(23): 9486.
19. 彭仲康, 崔兴然, 张政波, 等. 可穿戴设备: 评估与监测人体生理状态的展望. 生物医学工程学杂志, 2023, 40(6): 1045-1052.
20. 邵盛奇, 樊凯, 李杜娟, 等. 可穿戴无创葡萄糖传感器在糖尿病管理中的应用进展. 中国生物医学工程学报, 2022, 41(6): 732-743.
21. Wang M, Yang Y, Min J, et al. A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. Nat Biomed Eng, 2022, 6(11): 1225-1235.
22. Falkowski P, Osiak T, Wilk J, et al. Study on the applicability of digital twins for home remote motor rehabilitation. Sensors (Basel), 2023, 23(2): 911.
23. Lv Z, Guo J, Lv H. Deep learning-empowered clinical big data analytics in healthcare digital twins. IEEE/ACM Trans Comput Biol Bioinform, 2023, DOI: 10.1109/TCBB.2023.3252668.
24. Kurakova N G, Tsvetkova L A, Polyakova Y V. Digital twins in surgery: achievements and limitations. Khirurgiia (Mosk), 2022, 2022(5): 97-110.
25. Kwon H, An S, Lee H Y, et al. Review of smart hospital services in real healthcare environments. Healthc Inform Res, 2022, 28(1): 3-15.
26. Peng Yang, Zhang Ming, Yu Fangqiang, et al. Digital twin hospital buildings: an exemplary case study through continuous lifecycle integration. Advances In Civil Engineering, 2020, DOI: 10.1155/2020/8846667.
27. Li G, Lian W, Qu H, et al. Improving patient care through the development of a 5G-powered smart hospital. Nat Med, 2021, 27(6): 936-937.
28. Aluvalu R, Mudrakola S, Uma Maheswari V, et al. The novel emergency hospital services for patients using digital twins. Microprocessors and Microsystems, 2023, 98: 104794.
29. Popa E O, van Hilten M, Oosterkamp E, et al. The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks. Life Sci Soc Policy, 2021, 17(1): 6.
30. Wang M, Hu H, Wu S. Opportunities and challenges of digital twin technology in healthcare. Chin Med J (Engl), 2023, 136(23): 2895-2896.
31. Coorey G, Figtree G A, Fletcher D F, et al. The health digital twin: advancing precision cardiovascular medicine. Nat Rev Cardiol, 2021, 18(12): 803-804.
32. Cho S W, Byun S H, Yi S, et al. Sagittal relationship between the maxillary central incisors and the forehead in digital twins of korean adult females. J Pers Med, 2021, 11(3): 203.
33. Schütt M, O'farrell C, Stamatopoulos K, et al. Simulating the hydrodynamic conditions of the human ascending colon: a digital twin of the dynamic colon model. Pharmaceutics, 2022, 14(1): 184.
34. Ahmed H, Devoto L. The potential of a digital twin in surgery. Surg Innov, 2021, 28(4): 509-510.
35. Venkatesh K P, Raza M M, Kvedar J C. Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation. NPJ Digit Med, 2022, 5(1): 150.
36. Hernigou P, Olejnik R, Safar A, et al. Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty. Int Orthop, 2021, 45(9): 2209-2217.

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Digital twin hospitals: transforming the future of healthcare

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