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Transforming ED Throughput With AI-Driven Clinical Decision Support System

Not Applicable
Completed
Conditions
Triage
Readmission
Critical Care
Emergency Treatment
Registration Number
NCT05272267
Lead Sponsor
National Taiwan University Hospital
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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
4016
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

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Primary Outcome Measures
NameTimeMethod
ED length of stayFrom ED arrival to 3 days after ED discharge. For hospitalized patients with cardiac arrest, the outcome ascertainment continues until hospital discharge.
Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

National Taiwan University Hospital

🇨🇳

Taipei, Taiwan

National Taiwan University Hospital
🇨🇳Taipei, Taiwan

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