eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution:China Association for Science and Technology
Sponsor:Chinese Nursing Association

Chinese Journal of Emergency and Critical Care Nursing ›› 2026, Vol. 7 ›› Issue (3): 279-285.doi: 10.3761/j.issn.2096-7446.2026.03.004

• Special Planning—Intelligent and Digital Nursing Innovation and Application • Previous Articles     Next Articles

Construction and application of intelligent collaborative transport mode for critically ill newborns

WANG Xin(), YANG Jingjing, GUO Wanxu, GAO Yuxian, ZHANG Yunfeng*()   

  1. Neonatology Departmentthe Second Norman Bethune Hospital of Jilin UniversityChangchun 310000, China
  • Received:2025-05-11 Online:2026-03-10 Published:2026-03-02
  • Contact: *ZHANG Yunfeng,E-mail:zhangyunf@jlu.edu.cn
  • Supported by:
    Jilin Province Science and Technology Development Plan Project(3D5222708429)

Abstract:

Objective To establish a digital and intelligent collaborative transport mode based on the information-based integration platform,to analyze the application effect of this mode and put forward the corresponding countermeasures for existing problems to reshape the collaborative transport and treatment process of critically ill newborns.Methods With the three-tier theoretical framework of the Internet of Things,information integration and cloud collaboration as the core,the collaborative transfer model based on an integrated information platform was constructed through extending the pre-hospital emergency interface,achieving precise remote transfer linkage,optimizing automated office work,and providing internet-based medical information support. Compared with the traditional transport mode from February 2019 to February 2022,we analyzed the effect of intelligent collaborative transport model for critically ill newborns in the neonatal department of a tertiary hospital in Jilin Province from March 2022 to March 2025.Results The integrated information platform was used to cumulatively transfer 353 critically ill neonates,with the lowest birth weight being 600g and the smallest gestational age being 23 weeks. The emergency response time in the hospital was shortened from 19 minutes to 10 minutes,and the total incidence of complications was reduced by 20.01% compared with traditional transport. The satisfaction of medical staff increased to 86.07%.Conclusion This model integrates and efficiently and safely transmits data,promotes multidisciplinary collaboration,significantly enhances collaborative treatment and information interconnectivity,and improves the efficiency and quality of medical staff’s work.

Key words: Information Integration Platform, Critically Ill Neonates, Collaborative Transport, Digital Intelligent Healthcare