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AI-driven Clinical Decision Support for Perioperative Blood Orders

NCT07223853 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2026-02-27

No results posted yet for this study

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

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)

Sponsors & Collaborators

  • National Heart, Lung, and Blood Institute (NHLBI)

    collaborator NIH

  • Washington University School of Medicine

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-28
Primary Completion
2026-12-01
Completion
2027-01-01

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07223853 on ClinicalTrials.gov