CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 80 enrolled
Drug / intervention
Not specified
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT05683899
NCT05683899N/ACompleted

Evaluation of Emergency Department AI Prediction Algorithm

Mayo Clinic·observational·Posted Jan 13, 2023·Updated Apr 5, 2024

In Brief

An observational study for Hospital Admission and Length of Stay. Completed, enrolled 80 participants across 1 site.

Detailed Summary

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 Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
CountriesUnited States
Collaborators--

Timeline

N/ACompletedFinished
2023202420252026
First PostedJan 13, 2023
Enrollment StartJan 3, 2023
Primary CompletionDec 4, 2023
TodayJul 2, 2026
Enrollment to primary: 11 monthsPosted 3.5 years ago