Actively Recruiting

Age: 65Years +
All Genders
NCT05810064

Effectiveness of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)

Led by University of Wisconsin, Madison · Updated on 2026-02-17

30000

Participants Needed

3

Research Sites

231 weeks

Total Duration

On this page

Sponsors

U

University of Wisconsin, Madison

Lead Sponsor

A

Agency for Healthcare Research and Quality (AHRQ)

Collaborating Sponsor

AI-Summary

What this Trial Is About

The purpose of this retrospective cohort study is to evaluate the effectiveness of an EHR-based clinical decision support system (CDS) for automatically screening older adult ED patients for risk of future falls and providing ED clinicians opportunity to place referrals orders to the UW Health Mobility and Falls Clinic for those at highest risk prior to discharge. This CDS tool has already been implemented at the UW Hospital ED, and as a QI initiative will be implemented in a staged process at two other UW Health-affiliated emergency departments (The American Center and Swedish American Hospital).

CONDITIONS

Official Title

Effectiveness of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)

Who Can Participate

Age: 65Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • ED patients 65 years or older
  • Discharged from the emergency department (not admitted)
Not Eligible

You will not qualify if you...

History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety

AI-Screening

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Trial Site Locations

Total: 3 locations

1

Swedish American Emergency Department

Rockford, Illinois, United States, 61008

Not Yet Recruiting

2

East Madison Hospital

Madison, Wisconsin, United States, 53718

Actively Recruiting

3

UWHC Emergency Department

Madison, Wisconsin, United States, 53792

Actively Recruiting

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Research Team

D

Dann Hekman, MS

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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