A Study of Emergency Department AI Prediction Impact

NCT05683899 | Completed

• 1 other identifier: 22-011319
• Study Type: observational
• Target: 80
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

AI Prediction Algorithm; Emergency Department

Outcome Measures

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

  282 days

Study Arms (2)

Group A

141 days with AI scores displayed

Group B

141 days with AI scores not displayed

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Mayo Clinic: lead

Study Sites (1)

Mayo Clinic Minnesota

Rochester, Minnesota, 55905, United States

Location

Related Links

• Mayo Clinic Clinical Trials

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Alexander Ryu, MD

  Mayo Clinic

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: January 5, 2023
• First Posted: January 13, 2023
• Study Start: January 3, 2023
• Primary Completion: December 4, 2023
• Study Completion: December 4, 2023
• Last Updated: April 5, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)