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Effectiveness-Implementation Evaluation of Acute Kidney Injury Decision Support

NCT06840210 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200000

Last updated 2026-04-20

No results posted yet for this study

Summary

Study Purpose: This study is testing an artificial intelligence (AI)-powered clinical decision support (CDS) system designed to help emergency department (ED) doctors detect and manage acute kidney injury (AKI) earlier. The goal is to see whether the tool improves patient care, clinician decision-making, and hospital outcomes when used in real-world ED settings.

Study Design:

The AI tool will be gradually introduced at three hospital EDs:

Johns Hopkins Hospital (JHH) Bayview Medical Center (BMC) Howard County General Hospital (HCGH)

Before the tool is activated, it will run in the background to collect baseline data without influencing care. Once implemented, doctors will receive training, and researchers will track how often the tool is used and whether it improves AKI care.

What the Study Measures:

Process Outcomes: Does the tool help doctors identify AKI sooner, avoid harmful medications, and improve decision-making about hospitalization?

Clinical Outcomes: Does the tool reduce the number and severity of AKI cases and improve kidney-related health outcomes?

Implementation Outcomes: Do ED doctors find the tool useful? Does it fit into the ED doctor's workflow without slowing the ED doctor's down?

Expected Impact: If successful, the AI tool could be expanded to other hospitals and used to improve early detection and treatment of AKI, reducing kidney complications and improving patient care nationwide.

Conditions

Sponsors & Collaborators

Principal Investigators

  • Eili Klein, PhD · Johns Hopkins University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-10
Primary Completion
2028-12-01
Completion
2030-12-01

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06840210 on ClinicalTrials.gov