Evaluating AI for Earlier Detection of Acute Kidney Injury
This study is evaluating an artificial intelligence (AI) tool designed to help emergency department (ED) doctors detect and manage acute kidney injury (AKI) earlier. The goal is to see if this tool improves patient care, doctor decision-making, and hospital outcomes in real-world ED settings. Researchers will track how often the tool is used and if it improves AKI care. You might be eligible if you are 18 or older and visit one of three specific emergency departments: Johns Hopkins Hospital, Bayview Medical Center, or Howard County General Hospital, and have a serum creatinine measurement taken. Success in this study means more patients receive kidney care that follows established guidelines.
- Study design
- This is an observational study involving about 200,000 participants. The AI tool will first run in the background to collect data before it is actively used by doctors.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Patients will be followed from the time the decision support is provided until they leave the ED, which is approximately 6 hours.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Effectiveness-Implementation Evaluation of Acute Kidney Injury Decision Support
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Eili Klein, PhD · PRINCIPAL_INVESTIGATOR · Johns Hopkins University
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Number of Patients who receive Guideline-Concordant Kidney CareFrom time of decision support provision until departure from the ED, approximately 6 hours