From a chart point to the patient.

Population analytics earn trust one case at a time. Every dot in every Radial chart is a person, and the drill path from the outlier to the evidence is a click, not an export and a hunt through another system.

What you land on

Click any point and you're in the case behind it: the imaging, the structure set, and the dose, side by side with the numbers that made it interesting. The DVH panel shows the case's curves against the cohort context you came from, and the plan view lays out beams and prescriptions, enough to answer "is this real?" without leaving the page.

Verify, don't assume

Most outliers are one of three stories: a genuinely unusual patient, a mapping or assignment miss, or a contour that needs work. The patient view is built to distinguish them quickly: the mapping evidence is on the structures, the assignment evidence is on the case, and the images are right there.

Fix it where you found it

If the problem is a contour, fix it without leaving the cohort. In-viewer editing (enabled per institution) gives you draw, brush, nudge, and fill, with slice interpolation for speed. Each save writes a new version beside the original (the import is never overwritten), and downstream metrics recompute from the correction.