Guide · Clinical documentation
Documentation burden is well evidenced in medicine, thinner in behavioral health, and rarely framed as what it also is: a fidelity problem. Notes written from memory lose the session’s physiological record.
SeroState is an evidence layer delivered to EHR and telehealth platforms by API — not an app a clinician installs.
Documentation burden is real — and in behavioral health it is also a fidelity problem: notes written from memory lose the session’s physiological record. The strongest time-motion data is still outside BH (Sinsky et al., 2016)[1]; we cite it for scale and mark the gap.
Precise “% of the week” BH documentation figures usually trace to vendor surveys, not peer review. We stay with observational literature.
Pick a failure mode. Each is a different reason the record diverges from the encounter.
Notes written hours after a session rest on reconstruction. Sequence blurs, detail drops, and inference fills the space. In behavioral health the losses are clinically loaded: autonomic arousal during a difficult disclosure is not recoverable from memory.
The measurement was available during the session. It simply was not recorded.
Transcription captures what was said. It does not capture what the body did while saying it. A patient says “I’m fine” and the transcript is accurate — and the physiological response in that same window is simply absent.
Accurate words, incomplete record. That divergence is the say/body gap.
When the record rests on recall, the defensive response is to write more. Length grows; objective corroboration does not — because narrative cannot supply what was never measured.
Coding and billing decisions always remain with the licensed provider. See reimbursement readiness.
Session evidence is the physiological and vocal record of a consented encounter, time-aligned to conversation and returned post-session as structured flags with the traces behind them. Heart rate is primary; vocal markers come from session audio; HRV and EDA join when the wearable supplies them.
It does not write the note. No accuracy or time-savings claims on public pages. Science → ยท Security →
No. Scribes transcribe and summarise what was said. Session evidence is the physiological and vocal record of the encounter, time-aligned to the conversation and delivered as structured FHIR R4 evidence. It does not author the clinical note.
We do not publish time-savings figures. SeroState adds objective evidence to the record; any effect on workflow depends on how the platform implements it. We pre-register and publish before making outcome claims.
No. Every output is a reviewable flag with the trace and a confidence score behind it. The clinician authors the impression, can dismiss any flag, and always decides.
Through their EHR or telehealth platform. SeroState is an API-delivered evidence layer for platforms, health systems, research groups, and trial sponsors — not a standalone app a clinician installs.
Session Physiology, defined → AI scribe vs session evidence → Talk to us about your platform →
Time-motion evidence [1] is drawn from family medicine, internal medicine, cardiology, and orthopedics — not behavioral health. It is cited for the scale of documentation burden in medicine generally, not as a behavioral-health measurement.