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CompletedNCT05683899Updated Apr 5, 2024

A Study of Emergency Department AI Prediction Impact

An observational study in Hospital Admission and Length of Stay, sponsored by Mayo Clinic. Completed at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-04-05.

Sponsored by Mayo Clinic · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
80
Ages
18 Years and older
Sex
All
01

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.

02

Conditions studied

  • Hospital Admission
  • Length of Stay

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Keywords

  • AI Prediction Algorithm
  • Emergency Department
03

In context

Emergencies

1,694 studies on the registry are indexed under Emergencies; 332 are open to participants now.

This study's enrollment of 80 is below the median of 350 across 715 observational studies indexed under Emergencies.

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Lead sponsor

Mayo Clinic is the lead sponsor of 3,218 studies on the registry; 669 are open to participants now.

Of its 445 completed or terminated interventional studies of FDA-regulated products, 313 (70%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
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.

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

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.
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
80 participants (actual)
Patient registry
No

Groups and cohorts

  • Group A

    141 days with AI scores displayed

  • Group B

    141 days with AI scores not displayed

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What researchers measure

Primary outcomes

  1. Hospital Admissions

    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

    Time frame: 282 days

07

Study locations

1 site
  • Mayo Clinic Minnesota
    Rochester, Minnesota 55905, United States
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References and documents

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 5, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05683899
Lead sponsor
Mayo Clinic
Responsible party
Alexander J. Ryu (Principal Investigator, Mayo Clinic) — Principal investigator
First posted
Jan 13, 2023
Start date
Jan 3, 2023
Primary completion
Dec 4, 2023
Completion
Dec 4, 2023
Last update
Apr 5, 2024

Study contacts

Alexander Ryu, MD
principal investigator · Mayo Clinic

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2024. You cannot join it, but the record below documents what was studied.

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