AI decision support to help emergency doctors detect and manage acute kidney injury
Official title: Transforming Kidney Care in the Emergency Department: A Prospective Effectiveness-Implementation Evaluation
Run by Johns Hopkins University · NCT06840210 · Data updated 2026-11-12
This project will test whether an AI-based tool helps emergency doctors find and manage acute kidney injury earlier in adults who have blood creatinine measured during their ED visit.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 200000 (estimated) |
| Sponsor | Johns Hopkins University Academic / other |
| Locations | 1 site (Baltimore, Maryland) |
| Status | Recruiting |
| Started | March 10, 2026 |
| Main results expected | December 1, 2028 |
| Study ends | December 1, 2030 |
| Registry record updated | April 20, 2026 |
| Trial ID | NCT06840210 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age ≥18) who present to one of the participating EDs and have at least one serum creatinine measured during the ED visit (and a repeat creatinine within 72 hours for some analyses) are eligible for inclusion.
✕Probably not a fit
Patients who do not have a creatinine measured during the ED visit, those discharged without follow-up labs, pediatric patients, and people treated outside the participating sites are unlikely to receive benefit from the tool in this project.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The project introduces an AI-powered clinical decision support (CDS) tool into three emergency departments using a phased rollout that first collects baseline data with the tool running silently and then activates alerts for clinicians after training. Researchers will track how often clinicians use the tool and measure process outcomes such as earlier AKI identification, avoidance of potentially harmful medications, and changes in hospitalization decisions. Clinical outcomes including new or progressive AKI will be analyzed, with secondary analyses limited to patients who have repeat creatinine testing within 72 hours. The design is observational and focused on real-world implementation and effectiveness in routine ED care.
Why it matters
Potential benefit: If successful, the tool could help clinicians detect AKI sooner, reduce exposure to kidney-harming medications, and improve short-term kidney outcomes for ED patients.
How similar studies have gone: Previous machine-learning and alert-based AKI tools have shown promise in retrospective analyses and small implementations, but real-world impact has been mixed and needs careful implementation evaluation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Participants must meet all of the following conditions to be eligible for the study: 1. Emergency Department Visit 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 2. At least one serum creatinine (sCr) test performed during the ED visit. 3. Age: Adults (≥18 years old) at the time of ED visit. 4. Follow-Up Data Available: To be included in analysis for the investigator's secondary effectiveness outcome (new or progressive AKI) patients must have repeat creatinine concentration measurement available within 72 hours Exclusion Criteria: 1. No ED Serum Creatinine Data: Patients who do not have a measured serum creatinine (sCr) value during the ED visit will not have decision support provided during the ED stay. 2. Patients Discharged Without Follow-Up Data: Patients discharged from the ED who do not undergo a follow-up serum creatinine test within 72 hours will be excluded from analysis of new or progressive AKI outcome assessment. 3. Age \<18 Years 4. End-Stage Kidney Disease (ESKD) or Chronic Dialysis: Patients with a documented history of end-stage kidney disease (ESKD), (patients receiving chronic dialysis (hemodialysis or peritoneal dialysis) will will be excluded from analysis of new or progressive AKI outcome assessment).
Where it's running
-
Johns Hopkins Hospital
Baltimore, Maryland, United States Recruiting
Study contacts
- Principal investigator: Eili Klein, PhD — Johns Hopkins University
- Study coordinator: Eili Y Klein, PhD
- Email: eklein@jhmi.edu
- Phone: 732-266-7732
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.