Evaluation of Effectiveness for Connected Network for EMS Comprehensive Technical-support Using Artificial Intelligence (CONNECT-AI) System by Community Intervention

Yonsei University

Status

Completed

Conditions

Emergency Patient Transported by Ambulance

Treatments

Other: CONNECT AI system group

Study type

Interventional

Funder types

Other

Identifiers

NCT04829279

4-2021-0217

Details and patient eligibility

About

This study aims to verify the effectiveness of the connected network for EMS comprehensive technical-support using artificial intelligence (CONNECT-AI) system through demonstration in the local community. The study was designed as a prospective non-random cross-intervention study design in two preselected communities. The subjects of the study are patients transferred to the local emergency department(ED) through an ambulance of a fire department in the selected community. If the storage and transmission of information collected by an ambulance fails or the information of the transferred patient cannot be verified in the transferred ED, it is excluded from the study. In this study, the developed CONNECT-AI system was installed in all emergency vehicles and EDs in two regional cohorts, and the effectiveness was measured by operating an intersection for the same period. The primary outcome is the transfer time spent in the pre-hospital stage, and the secondary outcome is whether the optimal transfer hospital is selected.

Enrollment

15,392 patients

Sex

All

Ages

Under 100 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

patients transferred to the local emergency department(ED) through an ambulance of a fire department in the selected community.

Exclusion criteria

If the storage and transmission of information collected by an ambulance fails or the information of the transferred patient cannot be verified in the transferred ED