Transforming ED Throughput With AI-Driven Clinical Decision Support System

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.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Critical Care Emergency Treatment Readmission Triage

Age range

20 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

National Taiwan University Hospital

Taipei, Taiwan

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

AI-assisted models providing diagnosis and prognostic information

Other

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.

Critical treatment

Procedure

Critical treatment of the emergency room

Primary outcomes

ED length of stay

Time frame: From ED arrival to 3 days after ED discharge. For hospitalized patients with cardiac arrest, the outcome ascertainment continues until hospital discharge.

Sponsors and collaborators

Lead sponsor

National Taiwan University Hospital

Other

Registry information

Official study title

Transforming ED Throughput With AI-Driven Clinical Decision Support System (TEDAI): The Impact on the Delivery of Care and Patient Experience

Acronym: TEDAI

Important dates

Study start: 2022
Primary completion: 2022
Study completion: 2023
First posted: Mar 9, 2022
Registry last updated: Aug 1, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed