Home › NCT07223853

AI-driven Clinical Decision Support for Perioperative Blood Orders

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

Who can join

Ages 18 and older · All sexes

Clinician Level Exclusion Criteria:

* Clinician (resident physician or advanced practice provider) who works at a preoperative assessment clinic

Clinician Level Exclusion Criteria:

* None

Patient Inclusion Criteria:

* 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

Patient Exclusion Criteria:

* Pregnant
* Presence or history of red cell alloantibodies

About the study

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.

What is being tested

• S-PATH clinical decision support system (other)
• Usual care (other)

Sponsor: Washington University School of Medicine · Participants: 50 · Started: Oct 28, 2025

Contact the study team

• Sunny S Lou, MD, PhD · Phone: 314-362-5000

Official record on ClinicalTrials.gov — NCT07223853

Locations in the U.S.

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.