Skip to content

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

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04829279
Enrollment
15392
Registered
2021-04-02
Start date
2021-05-01
Completion date
2021-12-31
Last updated
2023-07-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Emergency Patient Transported by Ambulance

Brief 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.

Interventions

OTHERCONNECT 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.

Sponsors

Yonsei University
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
0 Years to 100 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
transfer time spent in the pre-hospital stageup to 1 monthTime taken from the time the paramedic arrives at the scene to the transfer hospital

Secondary

MeasureTime frameDescription
Whether to select the optimal transfer hospitalup to 1 monthIn the case of transfer to another hospital or death without resolving the emergency situation at the initial ED

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026