eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution：China Association for Science and Technology
Sponsor：Chinese Nursing Association
中华急危重症护理杂志

Chinese Journal of Emergency and Critical Care Nursing >

2026 , Vol. 7 >Issue 8: 923 - 929

DOI: https://doi.org/10.3761/j.issn.2096-7446.2026.08.004

Special PlanningEmergency——Rescue Nursing

Application of the “3+2” air-ground linkage green life channel model in the treatment of critically ill patients at airports

  • JIANG Ping ,
  • ZHANG Wei ,
  • WANG Haiyan ,
  • DU Jinping ,
  • ZHANG Huili ,
  • ZHANG Jinhuan ,
  • SHEN Xiaoling ,
  • NING Yuping ,
  • HUANG Liwen ,
  • WAN Jian
Expand
  • 1 Department of Nursing， Pudong New Area People’s Hospital， Shanghai 201299， China
    2 Emergency Department， Pudong New Area People’s Hospital， Shanghai 201299， China
*WAN Jian，E-mail：wanjian@shpdph.cn

Received date: 2025-11-29

  Online published: 2026-08-04

Supported by

The Medical Discipline Construction Program of Shanghai Pudong New Area Health Commission（the Key Weak Disciplines Program）(PWZbr2022-10)

Fold

Abstract

Objective To evaluate the application efficacy of the “3+2” air-ground linkage green life channel in the rescue of airport critically ill patients，and provide a reference for the construction of emergency nursing system in large transportation hubs. Methods Using a historical control design，748 patients from Shanghai Pudong International Airport admitted between August 9，2024 and August 8，2025 were selected as the experimental group receiving the “3+2” ground-air coordination model. A total of 701 critically ill patients were admitted between August 9，2023，and August 8，2024，and served as the control group receiving traditional emergency care. The pre-hospital response time，pre-hospital to in-hospital handover time，transportation duration，accuracy rate of critical patient identification，accuracy of critical value identification，emergency training coverage rate，the satisfaction rate of communication with foreign patients，the rate of good humanistic care experience and rescue success rate were compared between the two groups. Results The experimental group had significantly shorter pre-hospital response time，pre-hospital to in-hospital handover time and transportation duration than the control group（all P<0.001）. The experimental group also had higher accuracy of critical patient identification，critical value identification and higher emergency training coverage rate，foreign patient communication satisfaction rate，and good experience rate of patients and families on humanistic care measures（all P<0.05）. There was no significant difference in rescue success rate between the two groups（P=0.353）. Conclusion Based on a digital intelligent information platform and multidisciplinary nursing collaboration，the humanistic care-integrated “3+2” air-ground linkage model can effectively improve the rescue efficiency and treatment quality of critically ill airport patients，which conforms to the professional，collaborative and intelligent development trend of emergency nursing.

Key words： Green Life Channel; Air-Ground Linkage Model; Airport; Emergency Care; Multidisciplinary Team

Cite this article

JIANG Ping , ZHANG Wei , WANG Haiyan , DU Jinping , ZHANG Huili , ZHANG Jinhuan , SHEN Xiaoling , NING Yuping , HUANG Liwen , WAN Jian . Application of the “3+2” air-ground linkage green life channel model in the treatment of critically ill patients at airports[J]. Chinese Journal of Emergency and Critical Care Nursing, 2026 , 7(8) : 923 -929 . DOI: 10.3761/j.issn.2096-7446.2026.08.004

References

[1] 国家移民管理局. 关于我国72/144小时过境免签政策扩展至54国的公告[EB/OL]. (2023-11-17)[2023-12-06]. https://www.nia.gov.cn/n741440/n741542/c1613035/content.html.
  National Immigration Administration. Announcement on the Extension of China’s 72/144-Hour Transit Visa-Free Policy to 54 Countries[EB/OL]. (2023-11-17)[2023-12-06]. https://www.nia.gov.cn/n741440/n741542/c1613035/content.html.
[2] 葛李娜. 首都国际机场急救出诊患者分析[J]. 中国急救复苏与灾害医学杂志, 2022, 17(12):1563-1565.
  Ge LN. Epidemiological analysis of out-call emergency patients in the Capital International Airport[J]. China J Emerg Resusc Disaster Med, 2022, 17(12):1563-1565.
[3] 田剑清, 刘兆祺, 张凤岭. 49家机场2017年度医疗应急救护工作分析[J]. 中华灾害救援医学, 2019, 7(1):13-18.
  Tian JQ, Liu ZQ, Zhang FL. Medical emergency rescue in 2017:Analysis of 49 airports in China[J]. Chin J Disaster Med, 2019, 7(1):13-18.
[4] 张颖, 王春英. 急诊临床护理路径对急性心肌梗死溶栓治疗患者救治效率及预后的影响[J]. 国际护理学杂志, 2020, 39(12):2207-2210.
  Zhang Y, Wang CY. Effect of emergency clinical nursing path on the treatment efficiency and prognosis of patients with acute myocardial infarction treated with thrombolytic therapy[J]. Int J Nurs, 2020, 39(12):2207-2210.
[5] 急诊预检分诊专家共识组, 史冬雷, 刘晓颖, 等. 急诊预检分诊专家共识[J]. 中华急诊医学杂志, 2018, 27(6):599-604.
  Expert Group of Emergency Pre-inspection and Triage, Shi DL, Liu XY, et al. Expert consensus on emergency pre-inspection and triage[J]. Chin J Emerg Med, 2018, 27(6):599-604.
[6] 胡林婕, 张勤, 李晓彤, 等. 护理MDT联合一键式启动急救护理路径在STEMI患者PCI中的应用[J]. 齐鲁护理杂志, 2020, 26(5):51-54.
  Hu LJ, Zhang Q, Li XT, et al. Application of nursing MDT combined with one-button initiation of emergency care pathway in STEMI patients with PCI[J]. J Qilu Nurs, 2020, 26(5):51-54.
[7] 王钰炜, 周帅帅, 王飒, 等. 一站式创伤复苏单元整合5G技术的建设及应用研究[J]. 中华急危重症护理杂志, 2022, 3(4):300-304.
  Wang YW, Zhou SS, Wang S, et al. The construction and practice of a “one-stop” trauma resuscitation unit integrating with 5G technology[J]. Chin J Emerg Crit Care Nurs, 2022, 3(4):300-304.
[8] 冯春玲, 汪培培, 姜荷霖, 等. 5G+院前院内一体化融合系统在急诊严重创伤患者救治中的应用[J]. 护理学杂志, 2024, 39(19):97-100.
  Feng CL, Wang PP, Jiang HL, et al. Application of 5G+pre-hospital and in-hospital integrated fusion system in the treatment of severe trauma patients in emergency department[J]. J Nurs Sci, 2024, 39(19):97-100.
[9] 张治平, 江旺祥, 苏晞, 等. 武汉市空地一体化急救体系构建与实践[J]. 中国急救复苏与灾害医学杂志, 2024, 19(8):1014-1018.
  Zhang ZP, Jiang WX, Su X, et al. Construction and practice of the Wuhan City’s integrated air-ground emergency medical system[J]. China J Emerg Resusc Disaster Med, 2024, 19(8):1014-1018.
[10] 付忠, 毛源泉, 甘卉, 等. 南昌机场56例航空医疗备降处置分析[J]. 中国急救复苏与灾害医学杂志, 2022, 17(3):324-327.
  Fu Z, Mao YQ, Gan H, et al. Analysis of 56 cases of aviation medical alternative disposal at Nan-Chang airport[J]. China J Emerg Resusc Disaster Med, 2022, 17(3):324-327.
[11] 余丽萍, 郑叶平, 郑建春, 等. “数智一体化”急救模式在重症多发伤患者中的应用[J]. 护士进修杂志, 2024, 39(7):751-754.
  Yu LP, Zheng YP, Zheng JC, et al. Application of “Digital-Intelligence Integration” emergency mode in patients with severe multiple injuries[J]. J Nurses Train, 2024, 39(7):751-754.
[12] 刘志伟, 刘晓莉, 叶欣, 等. 危重患者抢救决策的影响因素及其合理性分析[J]. 中国急救医学, 2020, 40(1):24-28.
  Liu ZW, Liu XL, Ye X, et al. Influencing factors and rationality analysis of rescue decision in critical patients[J]. Chin J Crit Care Med, 2020, 40(1):24-28.
[13] 刘湘萍, 程晶, 李哲英, 等. 中国创伤救治培训护理版课程培训实践[J]. 护理学杂志, 2023, 38(7):67-70,74.
  Liu XP, Cheng J, Li ZY, et al. Course training on China trauma care training-nursing for nurses[J]. J Nurs Sci, 2023, 38(7):67-70,74.
Options
Outlines

/

〈 〉