TMS · Maintenance tracking
Track durability of TMS response through maintenance.
Acute response is only half the job. The maintenance phase decides whether a TMS responder stays well, and it is the phase with the longest gaps between visits and the least objective data. Continuous tracking keeps the durability question answerable week to week.
Maintenance is a monitoring black box
Once a patient transitions to maintenance, visits stretch to monthly or beyond. A single PHQ-9 at each visit captures one moment and misses everything in between, including the early drift that predicts relapse. Decisions about tapering, re-treatment, or escalation are made on sparse, subjective data.
166 hrs/wk
between maintenance visits that are effectively invisible in standard care
37.5%
12-month relapse rate that maintenance is meant to prevent
Dunner 2014
r=0.89
correlation of the continuous score with MADRS
How Emobot supports TMS maintenance
Between-visit visibility
A continuously updating wellness score fills the weeks between maintenance appointments with objective trend data.
Evidence for taper and re-treatment decisions
See whether response is holding, drifting, or eroding before you decide to taper, hold, or re-treat.
Early drift detection
Subtle behavioral change appears in the signal roughly 48 hours before symptom-level worsening.
No EHR integration required
Clinicians use a standalone web dashboard; patient data stays separate from your EHR to simplify compliance.
The evidence
- Validated across 11 clinical studies with academic partners including Yale, Harvard, Johns Hopkins, and UCSD.
- Only anonymized numerical output is transmitted, never raw biometrics.
- Continuous data versus a single point every four-plus weeks during maintenance.
Frequently asked questions
Why monitor during TMS maintenance specifically?
Maintenance has the longest intervals between visits and the highest stakes for durability. Most of the 37.5% who relapse within 12 months do so during this phase, when standard monitoring is sparsest.
How does continuous tracking change maintenance decisions?
It replaces a single subjective snapshot per visit with an objective trend, so taper, hold, and re-treatment decisions rest on how a patient is actually doing across the whole interval, not just on the day they happened to come in.
Is the maintenance data clinically validated?
The underlying score correlates with MADRS at r=0.89 and PHQ-9 at r=0.83 across multiple peer-reviewed studies.
Go deeper in the full guide: TMS Patient Monitoring: The Complete Guide
See it on a real patient case.
A 30-minute demo walks through the dashboard and how TMS patients show up in the data between visits.