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AI-driven Clinical Decision Support for Perioperative Blood Orders

Not Applicable
Recruiting
Conditions
Surgery
Registration Number
NCT07223853
Lead Sponsor
Washington University School of Medicine
Brief 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
50
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

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Primary Outcome Measures
NameTimeMethod
Frequency of patients with a type and screen order placed during the preoperative clinic assessment visitDecision made during the preoperative assessment clinic visit

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. Placement of a type and screen order during the preoperative clinic assessment visit will be evaluated at the patient / surgical case level. This includes orders placed and collected during the preoperative clinic assessment visit, as well as orders signed during the preoperative clinic assessment visit or subsequent follow up care and held to be drawn on the day of surgery.

Secondary Outcome Measures
NameTimeMethod
Frequency of a valid type and screen order at the start of surgeryStart of surgery (1 hour after Anesthesia Start)

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. Valid type and screen order at the start of surgery (defined as resulted prior to 1h after anesthesia start). The 1 hour buffer is used to account for orders that were drawn prior to surgery but may not have resulted by the time the patient enters the operating room. This will include orders placed by the clinicians working in preoperative assessment clinic and any orders that may be placed by the day of surgery anesthesia or surgical teams. This will not include type and screen orders that have expired by the start of surgery. This is a secondary efficacy outcome that reflects type and screen ordering decisions by all members of the patient's care team.

Frequency of red cell transfusion during surgeryDuring surgery

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. Administration of allogeneic packed red blood cells during surgery will be retrieved from the electronic health record. Documentation of transfusion is mandatory and the electronic health record scan is used to confirm the correct patient. This is a secondary efficacy outcome, as lack of a type and screen may prevent discretionary intraoperative transfusion.

Frequency of emergency release blood use during surgeryDuring surgery

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. Administration of emergency release allogeneic packed red blood cells will be retrieved from the electronic health record. These are either documented as volumes under the MTP tab or individually scanned as uncrossmatched red cells. This is the primary safety outcome of the study as emergency release blood may be administered if red cell transfusion is urgently indicated but a type and screen is not available. The frequency of this outcome will be reported overall across both groups, and stratified by whether the patient had an active type and screen at the start of surgery.

Frequency of red cell transfusion during surgery without an active type and screen at the start of surgeryDuring surgery

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. This is the secondary safety outcome intended to capture false negative results, i.e., patients who required transfusion during surgery but did not have a preoperative type and screen. This outcome will be collected electronically from the EHR and will capture patients for whom the type and screen was resulted after the start of surgery (i.e., after 1h after anesthesia start), suggesting it was collected after the patient entered the operating room

Frequency of transfusion reactionFrom time of surgery to hospital discharge or 30 days after surgery

This is a binary outcome at the patient / surgical case level, which will be aggregated across all patients in the study to produce an overall frequency. Transfusion reactions are reported by clinical teams to the blood bank, and the transfusion medicine service investigates and classifies each transfusion reaction. These investigation reports will be transmitted to the study team for adverse event reporting and outcome collection. This is also a secondary safety outcome for the study. Transfusion reactions will be reported stratified by category, as hemolytic transfusion reactions are the most relevant to the trial.

Trial Locations

Locations (1)

Washington University / Barnes Jewish Hospital

🇺🇸

St Louis, Missouri, United States

Washington University / Barnes Jewish Hospital
🇺🇸St Louis, Missouri, United States
Sunny S Lou, MD, PhD
Contact
314-362-5000
slou@wustl.edu

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