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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05272267
Other study ID # 202108090RINC
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date August 30, 2022
Est. completion date April 27, 2023

Study information

Verified date July 2022
Source National Taiwan University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The aims of this study is to integrate real-time data flow infrastructure between hospital information system and AI models and to conduct a cluster randomized crossover trial to evaluate the efficacy of the AI models in improving patient flow and relieving ED crowding.


Recruitment information / eligibility

Status Completed
Enrollment 4016
Est. completion date April 27, 2023
Est. primary completion date December 31, 2022
Accepts healthy volunteers No
Gender All
Age group 20 Years and older
Eligibility Inclusion Criteria: - ED patients aged 20 years or older - Patients were treated by the recruited 16 ED attendings. Exclusion Criteria: - Patients aged less than 20 years. - Patients were not treated by the recruited 16 ED attendings.

Study Design


Intervention

Other:
AI-assisted models providing diagnosis and prognostic information
AI-assisted models providing diagnosis and prognostic information in the ED, including triage, ICD coding, chest x ray alerts, critical event alerts, readmission prediction, and post-cardiac arrest prognostication.
Procedure:
Critical treatment
Critical treatment of the emergency room

Locations

Country Name City State
Taiwan National Taiwan University Hospital Taipei

Sponsors (1)

Lead Sponsor Collaborator
National Taiwan University Hospital

Country where clinical trial is conducted

Taiwan, 

Outcome

Type Measure Description Time frame Safety issue
Primary ED length of stay From ED arrival to 3 days after ED discharge. For hospitalized patients with cardiac arrest, the outcome ascertainment continues until hospital discharge.
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