Objective To explore the practice effect of the regional collaborative treatment model for critically ill newborns based on Internet of Things. Methods A total of 222 critically ill newborns admitted to hospital from January to June 2017 were selected as a control group, who received routine transfer treatment model; and the other 228 critically ill newborns admitted to hospital from July to December 2017 were regarded as an intervention group, who received regional collaborative treatment model. Results The length of hospital stay, hospitalization cost, complications, time for assisted ventilation, and readmission rate of the intervention group were significantly lower or shorter than those of the control group (P＜0.05，P＜0.01). When the children were followed up until 2 years old, the developmental quotient, exercise, social adjustment, intelligence, rate of reexamination and compliance of follow-up of the intervention group were significantly higher than those of the control group (P＜0.05, P＜0.01). Conclusion Establishment of the regional collaborative treatment model based on the Internet of Things, could shift the treatment of critically ill newborns to pregnancy, and improve their treatment and follow-up effect.