The Visit Should Start With What Changed
A new clinical data layer for longitudinal mental healthcare
THE PROBLEM
What changed is still reconstructed at the visit
Mental healthcare has always run on incomplete context. Visits are often months apart. Decisions depend on what happened in the weeks and months no one was watching — and clinicians have no choice but to begin visits piecing that picture together from fragmented recall and records. Patients remember milestones. What gets lost is the accumulation of smaller changes that shape the clinical picture.
For decades, the system absorbed this. It no longer can. Demand for mental health care is surging while the psychiatrist workforce cannot keep pace. Every psychiatrist needs to get more from every visit.
A Clinical Data Layer for Patient Change
Patients provide updates between visits — symptoms, medication effects, and life events.
AI turns that input into the starting point of the visit — a structured summary of what changed, ready before the clinician walks in.
Clinical time shifts from reconstruction to understanding. Treatment decisions are grounded in what actually changed. And when visit complexity is fully visible, it's fully reimbursed.