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Improving Diagnostic Safety Through STeatosis Identification, Risk Stratification, and Referral in the ED
Sponsor: Northwestern University
Summary
Hepatic steatosis is a common radiographic "incidental finding" that is overlooked and underreported to patients. The investigators developed a clinical decision support system using machine learning and natural language processing that will prompt reporting to patients and provide ED clinicians risk stratified follow-up care recommendations. Data on both the implementation and effectiveness of our intervention resulting from this trial will inform future use with a goal of ultimately improving diagnostic safety and outcomes for patients with hepatic steatosis.
Official title: Improving Diagnostic Safety Through STeatosis Identification, Risk Stratification, and Referral in the ED (STIRRED)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
4704
Start Date
2025-12
Completion Date
2028-07
Last Updated
2025-12-10
Healthy Volunteers
No
Conditions
Interventions
STIRRED
The STIRRED intervention is a behavioral intervention directed at the treating ED clinicians. An Our Practice Advisory (OPA) will alert the clinician to the radiology finding of hepatic steatosis at the time of preparing the discharge materials. The OPA will prompt the clinician to discuss this finding with the patient and will automatically add hepatic steatosis to the discharge diagnoses and insert patient-facing discharge information about hepatic steatosis. It will additionally prompt the clinician to refer the patient for follow-up which will be stratified based on their fibrosis risk level.
Locations (1)
Northwestern Memorial Hospital
Chicago, Illinois, United States