AI-driven Clinical Decision Support for Perioperative Blood Orders
Intelligent Clinical Decision Support for Preoperative Blood Management: A Cluster-Randomized Clinical Trial
Washington University School of Medicine
50 participants
Oct 28, 2025
INTERVENTIONAL
Conditions
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.
Eligibility
Inclusion Criteria3
- Scheduled for surgery in one of the main operating room areas (non-remote) at Barnes Jewish Hospital
- Evaluated in-person at one of the preoperative assessment clinics affiliated with BJC Healthcare
- Have a valid S-PATH model prediction prior to their preoperative assessment clinic visit
Exclusion Criteria4
- Clinician (resident physician or advanced practice provider) who works at a preoperative assessment clinic
- None
- Pregnant
- Presence or history of red cell alloantibodies
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Interventions
Access to the S-PATH electronic health record (EHR)-integrated clinical decision support system
Including use of the conventional Maximum Surgical Blood Ordering Schedule (MSBOS)
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT07223853