MedDataX Logo

AIS and START Grade With Films Transferring in Disaster Management

NCT ID: NCT05358418

Last Updated: 2023-11-24

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-12-01

Study Completion Date

2023-09-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Disaster medical teams are formed by hospitals in response to the manpower needs of a large number of injured and sick patients. The current planning of hospitals for a large number of disaster medical manpower is too superficial. The application of today's inspection methods in the treatment of a large number of injured patients is not as good as it is. Therefore, understanding the scene situation has become the key point of manpower deployment. Today's internet transmission speed and computer artificial intelligence technology are very different from 9 years ago. The investigators adopt one more simple and easy-to-operate inspection method and use artificial intelligence technology to assist.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Disaster medical teams are formed by hospitals in response to the manpower needs of a large number of injured and sick patients. However, the current planning of hospitals for a large number of disaster medical manpower is too superficial. The application of today's inspection methods in the treatment of a large number of injured patients is not as good as it is. Therefore, understanding the scene situation has become the key point of manpower deployment. Today's network transmission speed and computer artificial intelligence technology are very different from 9 years ago. The image transmission of the communication software to understand the scene will help the hospital's manpower deployment or should the investigators adopt a more easy-to-operate inspection method and use artificial intelligence technology to assist Implementation method: 82 patients with a large number of injuries in the Ali mountain traffic accident over the years were included, medical records were reviewed. The photos of patients recorded at the hospital site and existing vital signs of the patients were mainly used to make grading of the traditional STAR triage and the AIS to understand the possible differences in image interpretation and injury detection. Excluding patients with incomplete clinical data of treatment, the statistical methods of the samples were Correlation analysis and Wilcoxon signed rank test, and the p value of statistical significance was 0.05

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Trauma Disaster

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

AIS,START with films transferring

Excluding patients with incomplete clinical data of treatment

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* All patients in the high mountain disaster

Exclusion Criteria

* Excluding patients with incomplete clinical data of treatment and clinical films
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Chia-hsi Chen

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Chia-hsi Chen

Doctor of Emergency Medicine

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Chia-Hsi Chen, Dr

Role: PRINCIPAL_INVESTIGATOR

St. Martin De Porres Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

St. Martin De Porres Hospital

Chiayi City, , Taiwan

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Taiwan

References

Explore related publications, articles, or registry entries linked to this study.

Turner CD, Lockey DJ, Rehn M. Pre-hospital management of mass casualty civilian shootings: a systematic literature review. Crit Care. 2016 Nov 8;20(1):362. doi: 10.1186/s13054-016-1543-7.

Reference Type RESULT
PMID: 27825363 (View on PubMed)

Provided Documents

Download supplemental materials such as informed consent forms, study protocols, or participant manuals.

Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Related Links

Access external resources that provide additional context or updates about the study.

http://pubmed.ncbi.nlm.nih.gov/27825363/

Pre-hospital management of mass casualty civilian shootings: a systematic literature review

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

StMartinDPH

Identifier Type: -

Identifier Source: org_study_id