A Study of Emergency Department AI Prediction Impact

April 3, 2024 updated by: Alexander J. Ryu, Mayo Clinic

Evaluation of Emergency Department AI Prediction Algorithm

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 Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

80

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Minnesota
      • Rochester, Minnesota, United States, 55905
        • Mayo Clinic Minnesota

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

The group being surveyed will consist of Hospital Internal Medicine (HIM) clinicians, (physicians, nurse practioners, and physician assistants) at the Mayo Clinic- Rochester site, who are all adults. The patients which are triaged by this group are only adults, and accordingly, the AI score will never be shown for pediatric patients, or patients undergoing psychiatric evaluation.

Description

Inclusion Criteria:

  • For the survey component, any HIM clinician that works a shift in the triage area, ED physicians, and the medical officer of the day will be included.
  • For length of stay data, adult patients registered in the Mayo Clinic-Rochester St. Mary's Emergency Department will be included.

Exclusion Criteria:

  • For the survey, clinicians not working a triage shift during the study period will be excluded.
  • For the length of stay analysis, only adult ED patients will be included, who do not triaged to the behavioral health/psychiatry pathway, nor patients who are triaged to the Emergency Department observation pathway.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Group A
141 days with AI scores displayed
Group B
141 days with AI scores not displayed

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hospital Admissions
Time Frame: 282 days
Number of avoidable admissions prevented as a fraction of all ED patients in a day, specifically, the number of patients who were seen by the SAPPHIRE triage team and discharged home
282 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Mayo Clinic

Investigators

  • Principal Investigator: Alexander Ryu, MD, Mayo Clinic

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 3, 2023

Primary Completion (Actual)

December 4, 2023

Study Completion (Actual)

December 4, 2023

Study Registration Dates

First Submitted

January 5, 2023

First Submitted That Met QC Criteria

January 5, 2023

First Posted (Actual)

January 13, 2023

Study Record Updates

Last Update Posted (Actual)

April 5, 2024

Last Update Submitted That Met QC Criteria

April 3, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 22-011319

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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