Emergency Patient Transported by AmbulanceNCT04829279
Evaluation of Effectiveness for Connected Network for EMS Comprehensive Technical-support Using Artificial Intelligence (CONNECT-AI) System by Community Intervention
A study testing CONNECT AI system group in people with Emergency Patient Transported by Ambulance, run by Yonsei University at 1 site in South Korea.
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. Read more about this study
- Who is it for?
- Ages 0 to 100 years
- Conditions the study is for
- Emergency Patient Transported by Ambulance
- What is being tested?
- CONNECT AI system group
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 15,392 participants
- Where
- 1 siteSouth Korea
- Study dates
- 1 May 2021to 31 Dec 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 0 to 100 years
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- patients transferred to the local emergency department(ED) through an ambulance of a fire department in the selected community.
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
About this study
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
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.
- Being tested
- CONNECT AI system group
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
CONNECT AI system groupOther
- During the Intervention period, paramedics wear equipment for multi-faceted data acquisition and press the start button of the system.
- 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.
- ED's medical staff will receive through ER-kiosk pre-hospital patient information collected and analyzed through the CONNECT AI system before arrival.
| Study group | Role | What they receive |
|---|---|---|
| Case | Experimental | Emergency patient transferred by CONNECT AI system Receives: Other: CONNECT AI system group |
| Control | No intervention | Emergency patient transferred by conventional EMS |
What is being measured
The primary outcome is the main question the study is designed to answer.
transfer time spent in the pre-hospital stage
Time taken from the time the paramedic arrives at the scene to the transfer hospital
Measured: up to 1 month
Secondary outcomes (1)
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
Measured: up to 1 month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Apr 2021
- Study start1 May 2021
- Primary completion31 Dec 2021
- Study completion31 Dec 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Emergency Patient Transported by AmbulanceStudies of the same condition, open and under way.
- More trials run by Yonsei UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Enrolment
- 15,392 participants (actual)
Sponsor and investigators
- Lead sponsor
- Yonsei University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Hyuk-Jae Chang, Principal investigator, Division of Cardiology, Yonsei university college of medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04829279
- Sponsor's protocol ID
- 4-2021-0217
- Status last verified
- Jul 2023
- First submitted
- 29 Mar 2021
- Last updated
- 7 Jul 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Kim JH, Kim MJ, Kim HC, Kim HY, Sung JM, Chang HJ. A Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study. J Med Internet Res. 2025 Jan 23;27:e58177. doi: 10.2196/58177.
PubMed 39847421
Study at a glance
From the registry record, last updated by the sponsor on 7 Jul 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- 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
- ClinicalTrials.gov ID
- NCT04829279
- Acronym / sponsor ID
- 4-2021-0217
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 15,392 participants (actual)
- Lead sponsor
- Yonsei UniversityUniversity, hospital or other
- Study start
- 1 May 2021 (actual)
- Primary completion
- 31 Dec 2021 (actual)
- Study completion
- 31 Dec 2021 (actual)
- First posted
- 2 Apr 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Case | Experimental | Other: CONNECT AI system groupEmergency patient transferred by CONNECT AI system |
| Control | No intervention | –Emergency patient transferred by conventional EMS |
Who may qualify
- Ages
- 0 to 100 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- patients transferred to the local emergency department(ED) through an ambulance of a fire department in the selected community.
Key exclusion criteria (1 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| CONNECT AI system groupA. 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. | Other | Case |
Primary outcome
transfer time spent in the pre-hospital stage
Time frame: up to 1 month
Time taken from the time the paramedic arrives at the scene to the transfer hospital
1 secondary outcome
Whether to select the optimal transfer hospital
Time frame: up to 1 month
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Jul 2023.
- Derived from this study: PubMed 39847421Kim JH, Kim MJ, Kim HC, Kim HY, Sung JM, Chang HJ. A Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study. J Med Internet Res. 2025 Jan 23;27:e58177. doi: 10.2196/58177.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Hyuk-Jae Chang principal investigator
Division of Cardiology, Yonsei university college of medicine
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing CONNECT AI system group in people with Emergency Patient Transported by Ambulance, run by Yonsei University at 1 site in South Korea.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 7 Jul 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
transfer time spent in the pre-hospital stage (time frame: up to 1 month). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04829279, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Jul 2023.