AI-driven Clinical Decision Support for Perioperative Blood Orders

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.

NCT Number	NCT07223853
Lead Sponsor	Washington University School of Medicine Collaborators: National Heart, Lung, and Blood Institute (NHLBI)
Conditions	Surgery
Enrollment	50 participants
Start Date	2025-10-28
Primary Completion	2026-12-01 (estimated)
Study Completion	2027-01-01 (estimated)
Updated on ClinicalTrials.gov	2026-02-27