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A Study of Emergency Department AI Prediction Impact

NCT05683899 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2024-04-05

No results posted yet for this study

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.

Conditions

  • Hospital Admission
  • Length of Stay

Sponsors & Collaborators

Principal Investigators

  • Alexander Ryu, MD · Mayo Clinic

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-03
Primary Completion
2023-12-04
Completion
2023-12-04

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05683899 on ClinicalTrials.gov