NCT07223853NARecruiting

AI-driven Clinical Decision Support for Perioperative Blood Orders

Washington University School of Medicine

Start Date

10/28/2025

Completion Date

1/1/2027

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 Criteria

Age Range: 18 years to No maximum

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

Interventions

OTHER

S-PATH clinical decision support system

OTHER

Usual care

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Conditions

Surgery

Locations

Washington University / Barnes Jewish Hospital

St Louis, Missouri 63110

United States