AI-driven Clinical Decision Support for Perioperative Blood Orders
Sponsor: Washington University School of Medicine • ClinicalTrials.gov ID: NCT07223853
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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.
Interventions
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S-PATH clinical decision support system
(Other)
Access to the S-PATH electronic health record (EHR)-integrated clinical decision support system
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Usual care
(Other)
Including use of the conventional Maximum Surgical Blood Ordering Schedule (MSBOS)
Eligibility criteria
Conditions
Locations
- Washington University / Barnes Jewish Hospital — St Louis, Missouri, United States
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Data sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
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