Findings
In this diagnostic study evaluating the performance, feasibility, and power implications of using deep-learning NLP to measure the outcome of documented goals-of-care discussions in a 2512-patient pragmatic trial, NLP-screened human abstraction measured the outcome with 92.6% sensitivity, substantial savings in abstractor-hours, and minimal loss of power, compared with manual abstraction.