Key Points Question Does an intervention consisting of machine learning mortality predictions and behavioral nudges to oncology clinicians have an impact on serious illness conversations (SICs) and end-of-life outcomes among… Click to show full abstract
Key Points Question Does an intervention consisting of machine learning mortality predictions and behavioral nudges to oncology clinicians have an impact on serious illness conversations (SICs) and end-of-life outcomes among patients with cancer? Findings In this randomized clinical trial that included 20 506 patients with cancer (for a total of 41 021 encounters), the intervention led to a significant increase in SICs, from 3.4% to 13.5%, among encounters with patients at high risk of death while decreasing rates of end-of-life systemic therapy from 10.4% to 7.5%. Meaning These results suggest that a machine learning–based behavioral intervention can lead to an increase in SICs and reduction in end-of-life systemic therapy among outpatients with cancer.
               
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