NCT07223853

AI-driven Clinical Decision Support for Perioperative Blood Orders

Intelligent Clinical Decision Support for Preoperative Blood Management: A Cluster-Randomized Clinical Trial

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 50 (estimated)
• Sponsor: Washington University School of Medicine · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Surgery

Interventions

Type	Name	Description
OTHER	S-PATH clinical decision support system	Access to the S-PATH electronic health record (EHR)-integrated clinical decision support system
OTHER	Usual care	Including use of the conventional Maximum Surgical Blood Ordering Schedule (MSBOS)

Timeline

• Start date: 2025-10-28
• Primary completion: 2026-12-01
• Completion: 2027-01-01
• First posted: 2025-11-03
• Last updated: 2026-02-27

Locations

1 site across 1 country: United States