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OpenTrials
Completed

NCT Number: NCT05683899

A Study of Emergency Department AI Prediction Impact

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.

Completed

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Key information

Conditions

Hospital Admission Disease Attributes Emergencies Length of Stay Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Mayo Clinic Minnesota

Rochester, Minnesota, 55905, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. 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

Sponsors and collaborators

Lead sponsor

Mayo Clinic

Other

Registry information

Official study title

Evaluation of Emergency Department AI Prediction Algorithm

Important dates

Study start
2023
Primary completion
2023
Study completion
2023
First posted
Jan 13, 2023
Registry last updated
Apr 5, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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