目的 构建基于信息化集成平台的数智化协同转运模式，分析该模式应用效果并针对现存问题提出相应对策，重塑危重新生儿协同转运救治流程。方法 以物联网-信息集成-云协同三层理论框架为核心，通过前移院前急救端口、实现远程转运精准联动、优化自动化办公、提供互联网就医信息支持四方面构建基于信息化集成平台的数智化协同转运模式。对比2019年2月—2022年2月的传统转运模式，分析2022年3月—2025年3月吉林省某三级甲等医院新生儿科应用数智化协同转运模式转运危重新生儿效果。结果 应用该模式转运危重新生儿353例，其中最小体重为600 g，最小胎龄为23周，院前急救响应时间由19 min缩短至10 min。与传统转运模式相比，并发症总发生率降低20.01%，医护人员满意度提升至86.07%。结论 该模式可整合采集并高效安全传输数据，促进多学科协同合作，显著提升协同救治与信息互联互通能力，提高医护人员工作效率与质量。

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.