Burna AI's analytics follow the adverse event workflow: encounter volume over time, the adverse event capture rate, the grade distribution, how many grades carry complete citations, and patient-reported outcome completion for trials that collect them through Healthnotes. Grading analytics cover blind grading: inter-rater agreement as Cohen's kappa, an agreement matrix, and how often adjudication changed the AI's grade, week by week. Sponsors see inter-rater agreement per site over a rolling four-week window, so a site drifting from the others shows between monitoring visits. Practice-wide panels are scoped to workspace admins. Every figure is computed from a de-identified event stream rather than read from patient records.
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