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NCT07406490 · ClinicalTrials.gov registry record

Assessing Performance of a Hepatitis C Emergency Department (HepC-EnD) Screening Tool: IT Integration Process for Electronic Health Record System

A clinical trial, sponsored by University of Florida.

Not yet
Registry status
6,466
Enrollment target

NCT07406490 is a clinical trial that has not yet begun recruiting, run by University of Florida. The registered enrollment target is 6,466 participants.

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The verdict

NCT07406490 has not yet begun recruiting, sponsored by University of Florida.

NOT YET RECRUITING
Registry status
6,466 participants
Enrollment target

Study Summary

The goal of this observational study is to develop, implement, and evaluate a machine learning algorithm-based Hepatitis C Emergency Department (HepC-EnD) screening tool for use in emergency departments (EDs) to identify patients at high risk of hepatitis C virus (HCV) infection. HepC-EnD will be integrated into the University of Florida Health electronic health record (EHR) system as a best practice alert (BPA) pop-up for ED providers, notifying them of patients at high risk for HCV infection and recommending both HCV and human immunodeficiency virus (HIV) screening. Investigators aim to enhance the screening and diagnosis of individuals who may otherwise remain undiagnosed and untreated. The implementation outcomes (e.g., usability) and effectiveness outcomes (e.g., HCV screening and diagnosis rates) of HepC-EnD targeted screening will be compared with universal screening (FOCUS) and conventional physician-initiated screening programs in EDs.

Interventions

  • OTHER Physician-Initiated Screening (Conventional Screening)
  • OTHER FOCUS (Universal Screening)
  • OTHER HepC-EnD (Targeted Screening)

Trial Details

FieldValue
Enrollment Target 6,466 participants
Start Date 2026-07-01
Est. Completion 2027-07

Sponsor

University of Florida

1,106 total trials

What the Registry Record Tells You About NCT07406490

The ClinicalTrials.gov registry entry for NCT07406490 describes a study currently listed as not yet recruiting, categorized as an unspecified phase. The registered enrollment target is 6,466 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is University of Florida, which has 1,106 total studies on file at ClinicalTrials.gov.

The record links to 0 conditions, and to 3 interventions - of which Physician-Initiated Screening (Conventional Screening) is the first listed.

NCT07406490 reports 0 study locations.

Frequently Asked Questions

What is clinical trial NCT07406490 about?

NCT07406490 is a clinical study titled "Assessing Performance of a Hepatitis C Emergency Department (HepC-EnD) Screening Tool: IT Integration Process for Electronic Health Record System". The goal of this observational study is to develop, implement, and evaluate a machine learning algorithm-based Hepatitis C Emergency Department (HepC-EnD) screening tool for use in emergency departments (EDs) to identify patients at high risk of hepatitis C virus (HCV) infection. HepC-EnD will be in...

What is the current status of trial NCT07406490?

This trial is currently not yet recruiting. The enrollment target is 6,466 participants. The study started on 2026-07-01. Estimated completion is 2027-07.

What interventions are being tested in trial NCT07406490?

The interventions under investigation include: Physician-Initiated Screening (Conventional Screening) (OTHER), FOCUS (Universal Screening) (OTHER), HepC-EnD (Targeted Screening) (OTHER).

Who is sponsoring clinical trial NCT07406490?

This trial is sponsored by University of Florida, which has 1,106 total clinical trials registered on ClinicalTrials.gov.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.