AI aims to cut blood waste in surgery prep

NCT ID NCT07223853

First seen Nov 03, 2025

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.

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This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Washington University / Barnes Jewish Hospital

    RECRUITING

    St Louis, Missouri, 63110, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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.

As listed by the trial registrant

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