An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury
NCT03590028 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 180
Last updated 2026-05-11
Summary
This is a single center randomized trial that seeks to determine if the use of an automated real-time electronic medical record Acute Kidney Injury (AKI) risk score can improve patient outcomes through the use of an early standardized nephrology focused intervention.
Conditions
Interventions
- OTHER
-
Early Nephrology Consult (ENC)
The electronic risk prediction algorithm (ESTOP-AKI) will interface with electronic medical data to determine the likelihood for the patient to develop AKI. Early Nephrology Consult (ENC) will be implemented. A nephrologist will assess the subject and consult with their care team to advise a treatment plan during the hospitalization.
- OTHER
-
Standard of Care (SOC)
Subjects will receive nephrology consultation at the typical timepoint after symptoms of AKI appear.
Sponsors & Collaborators
-
University of Chicago
lead OTHER
Principal Investigators
-
Jay Koyner, MD · University of Chicago Medicine
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-10-01
- Primary Completion
- 2026-11-06
- Completion
- 2027-02-28
Countries
- United States
Study Locations
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