Actively Recruiting
AI-driven Clinical Decision Support for Perioperative Blood Orders
Led by Washington University School of Medicine · Updated on 2026-02-27
50
Participants Needed
1
Research Sites
61 weeks
Total Duration
On this page
Sponsors
W
Washington University School of Medicine
Lead Sponsor
N
National Heart, Lung, and Blood Institute (NHLBI)
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI-driven Clinical Decision Support for Perioperative Blood Orders
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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
- Age 18 years or older
You will not qualify if you...
- Pregnant
- Presence or history of red cell alloantibodies
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Washington University / Barnes Jewish Hospital
St Louis, Missouri, United States, 63110
Actively Recruiting
Research Team
S
Sunny S Lou, MD, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
SCREENING
Number of Arms
2
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