AI-driven Clinical Decision Support for Perioperative Blood Orders

Intelligent Clinical Decision Support for Preoperative Blood Management: A Cluster-Randomized Clinical Trial

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.

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