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AI-driven Clinical Decision Support for Perioperative Blood Orders
Sponsor: Washington University School of Medicine
Summary
20 million patients have surgery in the United States every year, with approximately 1 million of those patients requiring life-saving blood transfusion. Presurgical preparation for transfusion is important to allow for safe and timely transfusion during surgery; however, excessive preparation is unfortunately common, costly, and contributes to blood waste. This study aims to evaluate an intelligent clinical decision support system that helps clinicians prepare blood for patients who are likely to need it, while avoiding excessive preparation for patients who don't, potentially improving patient safety while reducing blood waste and healthcare costs.
Official title: Intelligent Clinical Decision Support for Preoperative Blood Management: A Cluster-Randomized Clinical Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2025-10-28
Completion Date
2027-01-01
Last Updated
2026-02-27
Healthy Volunteers
No
Conditions
Interventions
S-PATH clinical decision support system
Access to the S-PATH electronic health record (EHR)-integrated clinical decision support system
Usual care
Including use of the conventional Maximum Surgical Blood Ordering Schedule (MSBOS)
Locations (1)
Washington University / Barnes Jewish Hospital
St Louis, Missouri, United States