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 ›› 2025, Vol. 6 ›› Issue (2): 188-193.doi: 10.3761/j.issn.2096-7446.2025.02.010

• Emergency Care Research • Previous Articles     Next Articles

Application of virtual cloud billing combined with unaccompanied new diagnosis and treatment model in emergency critically ill patients

WANG Yuwei(), LIU Yajie, GAO Binbing, FANG Jue, WANG Ping, DING Jianbo, ZHANG Tao, YUAN Yongmei, LI Jihui, WANG Sa()   

  • Received:2024-04-17 Online:2025-02-10 Published:2025-01-22

Abstract:

Objective To explore the application effectiveness of a new diagnostic and treatment model combining virtual cloud billing with unaccompanied care in the management of critically ill emergency patients. Methods Starting from January 2021,a new treatment model involving interdisciplinary and multi-department cooperation was implemented and continuously optimized in the emergency rescue room of a tertiary class A hospital in Zhejiang Province. This retrospective study analyzed the treatment data of 36 551 patients from January 2020 to December 2023. The patients were grouped according to different stages of the treatment model,including traditional period(2020,n=6 931),new model exploration period(2021,n=8 501),new model improvement period (2022,n=10 095),new model stabilization period(2023,n=11 024). Statistical analysis was conducted on the differences in emergency room stay time,blood test waiting time,medication waiting time,CT scan waiting time,total number of billing settlements and total instances of outstanding payments among the groups. Results There were statistically significant differences among the periods in terms of emergency room stay time,blood test waiting time,medication waiting time,CT scan waiting time,and total number of billing settlements(P<0.001). There was no significant difference in the total instances of outstanding payments among the groups(P=0.998). Conclusion The establishment of this new diagnostic and treatment model is of great significance in improving the refined management of patients in emergency rescue room and enhancing the medical experience.

Key words: Emergency Department, Digital Intelligence Drive, No Escort, Medical Care Workers, Nursing Management Research