A Study of Emergency Department AI Prediction Impact

ClinicalTrials.gov ID: NCT05683899

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Official title

Evaluation of Emergency Department AI Prediction Algorithm

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

The purpose of this study is to evaluate the impact of an AI admission prediction tool on the number of preventable hospital admissions, emergency department (ED) length of stay, when the predictions are displayed only to a dedicated ED triage team. Also, to evaluate user perceptions of the AI tool among the triage team users and medical officer of the day users. Additionally, to evaluate any impact of the AI tool on the number of interventions performed by the triage team, and to evaluate the impact of the tool on time-to-admission after an admission order is placed.

Study identification

NCT ID: NCT05683899
Recruitment status: Completed
Study type: Observational
Phase: Not listed
Lead sponsor: Mayo Clinic; Other
Enrollment: 80 participants

Conditions and interventions

Conditions

Interventions

Not listed

Eligibility (public fields only)

Age range: 18 Years and older
Sex: All
Healthy volunteers: Accepts healthy volunteers

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date: Jan 3, 2023 (Actual)
Primary completion: Dec 4, 2023 (Actual)
Completion: Dec 4, 2023 (Actual)
Last update posted: Apr 5, 2024

2023

United States locations

U.S. sites: 1
U.S. states: 1
U.S. cities: 1

Facility	City	State	ZIP	Site status
Mayo Clinic Minnesota	Rochester	Minnesota	55905	—

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows: Public field values for ClinicalTrials.gov record NCT05683899, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do: No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from: Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh: Last update posted Apr 5, 2024 · Synced Nov 14, 2026