Johns Hopkins Hospital
Baltimore, Maryland, 21287, United States
Location status: Recruiting
NCT Number: NCT06840210
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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Baltimore, Maryland, 21287, United States
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Participants must meet all of the following conditions to be eligible for the study:
Patients presenting to one of the three study site emergency departments (EDs):
Johns Hopkins Hospital (JHH) Bayview Medical Center (BMC) Howard County General Hospital (HCGH) Serum Creatinine Measurement
Exclusion criteria
Time frame: From time of decision support provision until departure from the ED, approximately 6 hours
Time frame: Within 72 hours of first creatinine measurement in the ED
Time frame: Prior to AKIDS implementation, immediately after implementation, and post implementation 6 months
Will be assessed using the usability using the System Usability Score, a 10-item Likert scale that yields a single composite score on a scale of 0-100, with 100 being most usable.
Contact information is provided by the study sponsor or research team.
Eili Y Klein, PhD
CONTACT
Michael Ehmann, MD
CONTACT
Johns Hopkins University
Other
Transforming Kidney Care in the Emergency Department: A Prospective Effectiveness-Implementation Evaluation
Acronym: SMART-AKI
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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