Ignite Creation Date:
2024-07-17 @ 12:06 PM
Last Modification Date:
2024-10-26 @ 3:34 PM
Study NCT ID:
NCT06493175
Status:
RECRUITING
Last Update Posted:
2024-07-09
First Post:
2023-12-22
Brief Title:
The Application of Large Language Model in Emergency Chest Pain Triage
Sponsor:
Peking University Third Hospital
Organization:
Peking University Third Hospital
Study Overview
Official Title:
The Application of Large Language Model in Emergency Chest Pain Triage
Status:
RECRUITING
Status Verified Date:
2024-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
ALERT
Brief Summary:
This study will evaluate the accuracy and efficiency of large language model in emergency triage
Detailed Description:
The study is to evaluate the value of large language model in emergency triage their accuracy and efficiency were evaluated and compared with traditional triage To explore whether the model can effectively reduce the workload of medical staff while improving the speed and quality of triage In addition the ability of the model to predict serious medical events such as acute heart events and strokes was evaluated It also included surveys of patients acceptance and satisfaction with the use of the artificial intelligence-assisted triage system Analyze the economic benefits of adopting this technology including cost saving and optimal allocation of resources
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None