AI aims to cut blood waste in surgery prep

NCT ID NCT07223853

Recruiting now Knowledge-focused Sponsor: Washington University School of Medicine Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests a computer system that helps doctors decide which patients need blood prepared before surgery. About 1 million patients in the US need blood transfusions during surgery each year, but often too much blood is prepared, leading to waste. The system uses patient data to predict who really needs blood. The trial involves 50 patients and compares the smart system to usual care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: S-PATH clinical decision support system
What this could lead to: If successful, this system could help hospitals better match blood preparation to patient needs, reducing waste and costs while maintaining safety.
What could go wrong: This is a small, early-stage trial with only 50 participants, so results may not apply broadly. The system may not improve outcomes or could be difficult to implement in other hospitals.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SURGERY

Contacts and locations

Locations

Washington University / Barnes Jewish Hospital
RECRUITING

St Louis, Missouri, 63110, United States

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