At a glance
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A Pilot Study for the Effect of Risk Prediction on Anticipatory Guidance and Team Coordination for Postoperative Care
In Brief
A clinical study evaluating ML-based report card for Surgery--Complications. Completed, enrolled 222 participants across 1 site.
Detailed Summary
The objectives of the study are to determine the interpretability, workflow role, and effect on communications of showing report cards containing Machine Learning (ML)-based risk profiles based on pre- and intra-operative data to postoperative providers.
Study Details
Timeline
Interventions
PACU and ward providers caring for participants will be notified by Anesthesia Control Tower clinicians before arrival if the patient's report card. The notification will contain a report card of the patient's forecast risk of major adverse events, explanatory machine-learning outputs, most influential pre- and intraoperative data, and predicted treatments.The ML risk profile generated for each patient will include risk of 30 day mortality, risk of respiratory failure, risk of acute kidney injury, and risk of postoperative delirium