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

Emergency Patient Transported by Ambulance Clinical Trial

Official title:

Evaluation of Effectiveness for Connected Network for EMS Comprehensive Technical-support Using Artificial Intelligence (CONNECT-AI) System by Community Intervention: A Prospective Crossover Interventional Study

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04829279
• Other study ID #: 4-2021-0217
• Status: Completed
• Phase: N/A
• Start date: May 1, 2021
• Est. completion date: December 31, 2021

Study information

• Verified date: July 2023
• Source: Yonsei University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 15392
• Est. completion date: December 31, 2021
• Est. primary completion date: December 31, 2021
• Accepts healthy volunteers: No
• Gender: All
• Age group: 0 Years to 100 Years

Eligibility

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

Related Conditions & MeSH terms

• Emergencies
• Emergency Patient Transported by Ambulance

Intervention

Other:
• CONNECT AI system group
A. During the Intervention period, paramedics wear equipment for multi-faceted data acquisition and press the start button of the system. B. During the Intervention period, inside the ambulance, a application that implements a function that automatically evaluates the patient's severity, displays a list of optimal transfer hospitals based on this, and shares real-time information of the hospitals, is installed so that paramedics can refer to the work. C. ED's medical staff will receive through ER-kiosk pre-hospital patient information collected and analyzed through the CONNECT AI system before arrival.

Locations

Country	Name	City	State
Korea, Republic of	Yonsei University	Seoul

Sponsors (1)

Lead Sponsor	Collaborator
Yonsei University

Country where clinical trial is conducted

Korea, Republic of, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	transfer time spent in the pre-hospital stage	Time taken from the time the paramedic arrives at the scene to the transfer hospital	up to 1 month
Secondary	Whether to select the optimal transfer hospital	In the case of transfer to another hospital or death without resolving the emergency situation at the initial ED	up to 1 month