Chinese Journal of Emergency and Critical Care Nursing ›› 2025, Vol. 6 ›› Issue (12): 1523-1528.doi: 10.3761/j.issn.2096-7446.2025.12.020
• Review • Previous Articles
TONG Ziwei(
), WANG Hong(
), SUN Xu, ZHOU Zhicong, LIU Xiaoyi, WANG Yiru
Received:2025-03-05
Online:2025-12-10
Published:2025-12-11
Contact:
WANG Hong
E-mail:tttongziwei@163.com;hongwang1971@163.com
TONG Ziwei, WANG Hong, SUN Xu, ZHOU Zhicong, LIU Xiaoyi, WANG Yiru. Application of digital twin technology in the field of acute and critical care:a scoping review[J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(12): 1523-1528.
| [1] |
Crawford AM, Shiferaw AA, Ntambwe P, et al. Global critical care:a call to action[J]. Crit Care, 2023, 27(1):28.
doi: 10.1186/s13054-022-04296-3 |
| [2] | 郭联山, 李政钊. 人工智能在急危重症患者诊治中应用研究进展[J]. 中国急救医学, 2023, 43(10):837-840. |
| Guo LS, Li ZZ. Research progress of artificial intelligence in the diagnosis and treatment of critically ill patients[J]. Chin J Crit Care Med, 2023, 43(10):837-840. | |
| [3] | 徐天宇, 余松轩, 侯冷晨, 等. 数智融合背景下重症医学科发展的机遇、挑战与对策[J]. 海军军医大学学报, 2025, 46(1):118-122. |
| Xu TY, Yu SX, Hou LC, et al. Critical care medicine under the background of digital intelligence integration:opportunities,challenges,and strategies[J]. Acad J Nav Med Univ, 2025, 46(1):118-122. | |
| [4] | 陈玉倩, 侯晓慧, 朱碧帆, 等. 数字孪生在精准医疗应用中的研究进展和挑战[J]. 海军军医大学学报, 2023, 44(1):97-101. |
| Chen YQ, Hou XH, Zhu BF, et al. Digital twin in precision medicine application:research progress and challenges[J]. Acad J Nav Med Univ, 2023, 44(1):97-101. | |
| [5] | Halpern GA, Nemet M, Gowda DM, et al. Advances and utility of digital twins in critical care and acute care medicine:a narrative review[J]. J Yeungnam Med Sci, 2025,42:9. |
| [6] | Sterne JAC, Savović J, Page MJ, et al. RoB 2:a revised tool for assessing risk of bias in randomised trials[J]. BMJ, 2019,366:l4898. |
| [7] | Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I:a tool for assessing risk of bias in non-randomised studies of interven-tions[J]. BMJ, 2016,355:i4919. |
| [8] | 曾宪涛, 刘慧, 陈曦, 等. Meta分析系列之四:观察性研究的质量评价工具[J]. 中国循证心血管医学杂志, 2012, 4(4):297-299. |
| Zeng XT, Liu H, Chen X, et al. Meta-analysis series IV:quality evaluation tools for observational research[J]. Chin J Evid Based Cardiovasc Med, 2012, 4(4):297-299. | |
| [9] | Patel BV, Mumby S, Johnson N, et al. A randomized control trial evaluating the advice of a physiological-model/digital twin-based decision support system on mechanical ventilation in patients with acute respiratory distress syndrome[J]. Front Med, 2024,11:1473629. |
| [10] | An G, Cockrell C. A design specification for Critical Ill-ness Digital Twins(CIDTs) to cure sepsis:responding to the Natio-nal Academies of Sciences,Engineering and Medicine Report “Foundational Research Gaps and Future Directions for Digi-tal Twins”[J]. ArXiv,2024:arXiv:2405.05301v2. |
| [11] | 姚尧, 袁骏毅, 侯旭敏. 数字孪生驱动的心胸外科重症监护室智能管理系统设计与探索[J]. 中国医疗设备, 2024, 39(10):98-103. |
| Yao Y, Yuan JY, Hou XM. Design and exploration of digital twin-driven intelligent management system for cardiothoracic intensive care unit[J]. China Med Devices, 2024, 39(10):98-103. | |
| [12] |
Florencia J, Moyaux T, Trilling L, et al. Toward improving dy-namic resource scheduling in the context of digital twin of emergency department[J]. IEEE Trans Autom Sci Eng, 2024, 22:7255-7267.
doi: 10.1109/TASE.2024.3463489 |
| [13] |
ArabiDarrehDor G, Tivay A, Meador C, et al. Mathematical mo-deling,in-human evaluation and analysis of volume kinetics and kidney function after burn injury and resuscitation[J]. IEEE Trans Biomed Eng, 2022, 69(1):366-376.
doi: 10.1109/TBME.2021.3094515 |
| [14] | Rovati L, Gary PJ, Cubro E, et al. Development and usability testing of a patient digital twin for critical care education:a mixed methods study[J]. Front Med, 2024,10:1336897. |
| [15] |
Cannon JW, Gruen DS, Zamora R, et al. Digital twin mathema-tical models suggest individualized hemorrhagic shock resus-citation strategies[J]. Commun Med, 2024, 4(1):113.
doi: 10.1038/s43856-024-00535-6 |
| [16] | Weaver L, Shamohammadi H, Saffaran S, et al. Digital twins of acute hypoxemic respiratory failure patients suggest a mecha-nistic basis for success and failure of noninvasive ventilation[J]. Crit Care Med, 2024, 52(9):e473-e484. |
| [17] |
Aarzoo, Ghosh A, Pandhare V, et al. Expert-in-loop digital twin-based decision support system for early detection of ventila-tor-induced lung injury[J]. Procedia Comput Sci, 2024, 251:651-659.
doi: 10.1016/j.procs.2024.11.164 |
| [18] |
Danesh A, Juraev F, El-Sappagh S, et al. Integrating digital twin technology with dynamic ensemble learning for sepsis prediction in intensive care units[J]. Jiis, 2024, 30(2):25-59.
doi: 10.13088/jiis.2024.30.2.025 |
| [19] | Aluvalu R, Mudrakola S, Uma Maheswari V, et al. The novel emergency hospital services for patients using digital twins[J]. Microprocess Microsyst, 2023,98:104794. |
| [20] |
Chakshu NK, Nithiarasu P. An AI based digital-twin for prio-ritising pneumonia patient treatment[J]. Proc Inst Mech Eng H, 2022, 236(11):1662-1674.
doi: 10.1177/09544119221123431 |
| [21] | Ang CYS, Lee JWW, Chiew YS, et al. Virtual patient frame-work for the testing of mechanical ventilation airway pressure and flow settings protocol[J]. Comput Methods Programs Biomed, 2022,226:107146. |
| [22] | Hussain A, Yaseen MU, Imran M, et al. An attention-based Res-Net architecture for acute hemorrhage detection and classifi-cation:toward a health 4.0 digital twin study[J]. IEEE Access, 2022,10:126712-126727. |
| [23] | Caljé-van der Klei T, Sun QH, Chase JG, et al. Pulmonary response prediction through personalized basis functions in a virtual patient model[J]. Comput Methods Programs Biomed, 2024,244:107988. |
| [24] | Sun QH, Chase JG, Zhou C, et al. Predicting pulmonary dis-tension in a virtual patient model for mechanical ventilation[J]. IFAC-PapersOnLine, 2021, 54(15):91-96. |
| [25] |
Lal A, Li GX, Cubro E, et al. Development and verification of a digital twin patient model to predict specific treatment response during the first 24 hours of sepsis[J]. Crit Care Explor, 2020, 2(11):e0249.
doi: 10.1097/CCE.0000000000000249 pmid: 33225302 |
| [26] | Zhou C, Geoffrey Chase J, Knopp J, et al. Virtual patients for mechanical ventilation in the intensive care unit[J]. Comput Methods Programs Biomed, 2021,199:105912. |
| [27] |
Lal A, Pinevich Y, Gajic O, et al. Artificial intelligence and computer simulation models in critical illness[J]. World J Crit Care Med, 2020, 9(2):13-19.
doi: 10.5492/wjccm.v9.i2.13 pmid: 32577412 |
| [28] | 胡慧娟, 王明帮, 雷崎方, 等. 数字孪生医院:改变医疗的未来[J]. 生物医学工程学杂志, 2024, 41(2):376-382. |
| Hu HJ, Wang MB, Lei QF, et al. Digital twin hospitals:trans-forming the future of healthcare[J]. J Biomed Eng, 2024, 41(2):376-382. | |
| [29] |
陈利, 杨又. 区块链技术在临床护理中的应用进展[J]. 中华护理杂志, 2024, 59(2):250-256.
doi: 10.3761/j.issn.0254-1769.2024.02.018 |
|
Chen L, Yang Y. Research progress of blockchain technology in clinical nursing[J]. Chin J Nurs, 2024, 59(2):250-256.
doi: 10.3761/j.issn.0254-1769.2024.02.018 |
| [1] | XU Xin, WANG Zixin, WANG Wei, FENG Xiuqin. A scoping review of central venous pressure monitored via peripherally inserted central catheters [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(9): 1138-1143. |
| [2] | YANG Yunli, ZHANG Xiaofeng, LIU Yanan, WANG Huarong. Triage standards of elderly trauma patients in emergency department:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(9): 1074-1081. |
| [3] | ZHOU Hongfang, YUE Weigang, WU Yuchen, HE Chengying, LAN Xuhong, WANG Hengyang, JIA Donghui, WANG Qian, ZHANG Zhigang. The application of decision aids for patients with life-support treatment in ICU:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(7): 885-890. |
| [4] | XIONG Xingyu, ZHANG Dandan, CHENG Shouzhen. Application and development of of ICU nursing quality evaluation indicators:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 758-764. |
| [5] | ZHANG Xiaping, LUO Songna. A scoping review of kinesiophobia research in stroke patients [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(5): 624-630. |
| [6] | WANG Liqing, LUO Jieling, SHANG Bokun, MA Guiyun. Study of hypoactive delirium in critically ill patients: a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(4): 506-512. |
| [7] | WANG Mengqian, LIU Xiumei, KANG Yannan, TANG Yan, CONG Shanshan, JIA Yunyan. Assessment and influencing factors of subsyndromal delirium in ICU:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(4): 499-505. |
| [8] | TANG Jiaying, GUO Zhiting, HUANG Xiaoxia, FENG Xiuqin. The nurse-led management strategies for post-extubation dysphagia in patients with tracheal ventilation:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(2): 240-246. |
| [9] | LU Jiao, SI Xia, ZHANG Yinghui, ZHANG Liyu, WANG Cailing. A scoping review of risk predictive models for extracorporeal circulation coagulation in patients undergoing continuous renal replacement therapy [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(11): 1386-1393. |
| [10] | ZHANG Huichao, ZHANG Ying, ZHANG Yaqian, XU Yahong, ZHENG Yishan. ICU-acquired oral frailty conceptualization:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(10): 1269-1275. |
| [11] | HUANG Sirui, YE Junjie, BIAN Yufeng, HE Jiaojiao, WANG Ying. The assessment tools of cognitive function for children after liver transplantation:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(10): 1261-1268. |
| [12] | ZHOU Chunqing, FENG Xinyi, M A Xiaoqin. Training practices for nursing students to prevent and respond to workplace violence:a scoping review [J]. Chinese Journal of Emergency and Critical Care Nursing, 2024, 5(9): 818-824. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||