NCT05272267

Brief 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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
4,016

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Aug 2022

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 28, 2022

Completed
9 days until next milestone

First Posted

Study publicly available on registry

March 9, 2022

Completed
6 months until next milestone

Study Start

First participant enrolled

August 30, 2022

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2022

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 27, 2023

Completed
Last Updated

August 1, 2023

Status Verified

July 1, 2022

Enrollment Period

4 months

First QC Date

February 28, 2022

Last Update Submit

July 28, 2023

Conditions

Critical CareEmergency TreatmentTriageReadmission

Keywords

Critical CareEmergency TreatmentTriageReadmission

Outcome Measures

Primary Outcomes (1)

  • 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.

Study Arms (2)

AI-assisted

ACTIVE COMPARATOR

AI-assisted models providing diagnosis and prognostic information

Other: AI-assisted models providing diagnosis and prognostic information

Usual care

PLACEBO COMPARATOR

usual care without AI-assisted models providing diagnosis and prognostic information

Procedure: Critical treatment

Interventions

AI-assisted models providing diagnosis and prognostic informationOTHER

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.

AI-assisted
Critical treatmentPROCEDURE

Critical treatment of the emergency room

Usual care

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • ED patients aged 20 years or older
  • Patients were treated by the recruited 16 ED attendings.

You may not qualify if:

  • Patients aged less than 20 years.
  • Patients were not treated by the recruited 16 ED attendings.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Taiwan University Hospital

Taipei, Taiwan

Location

Study Officials

  • Dr. Huang

    National Taiwan University Hospital

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 28, 2022

First Posted

March 9, 2022

Study Start

August 30, 2022

Primary Completion

December 31, 2022

Study Completion

April 27, 2023

Last Updated

August 1, 2023

Record last verified: 2022-07

Locations

TW(1)