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An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury
Sponsor: University of Chicago
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.
Official title: An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury: A Randomized Trial of an Early Standardized, Personalized Nephrology Intervention
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
180
Start Date
2018-10-01
Completion Date
2026-01-31
Last Updated
2025-08-15
Healthy Volunteers
No
Conditions
Interventions
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.
Standard of Care (SOC)
Subjects will receive nephrology consultation at the typical timepoint after symptoms of AKI appear.
Locations (1)
University of Chicago Medical Center
Chicago, Illinois, United States