From the people who use the product.
Documentation, AI policy, operations, and product updates. Written by clinicians and engineers on the team.
What I check before I sign an AI note
A draft can be fluent and still be wrong in the places I am responsible for. This is the pass I do before my name goes on it.
2026
7 entries-
What I check before I sign an AI note
A draft can be fluent and still be wrong in the places I am responsible for. This is the pass I do before my name goes on it.
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Stop copy-forwarding the mental status exam
A pasted MSE is how a stable paragraph survives a week that was not stable. Here is what I still write myself, and what I let a draft start.
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When I would turn the ambient scribe off
A listener in the room is the wrong tool for some visits. These are the ones where I tell people to type, or to wait.
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The intake note is where the chart goes wrong
Follow-up notes inherit the first visit. If the intake is thin, later denials and confused covering clinicians start there.
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What payers mean by a golden thread in behavioral health notes
Golden thread is not a slogan. It is whether a reviewer can follow this visit from the problem, through what you did, to why the next visit is still necessary.
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Ambient scribe, dictation, or type it later: what actually changes
Ambient listening, dictation, and typing after clinic are different jobs. Here is how each fails in a psychiatry or therapy day, and when I would still pick it.
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What belongs in a telehealth psychiatry note that an office note can skip
Payers and boards still treat video visits as a different setting. These are the fields I see missing when a telehealth chart gets pulled.
2025
10 entries-
Do you need patient consent to use an AI scribe?
If a tool is listening to the visit, treat it like a recording. Here is the consent conversation I tell practices to have before they turn one on.
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What new clinicians used to need years of volume to notice
New psychiatrists and therapists get pattern flags, documentation checks, and longitudinal context that used to take years of volume to notice.
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The covering clinician should see what you already know
AI patient timelines keep med trials, life events, and risk history available for the covering clinician, not only the person who wrote the first note.
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Supervision between sessions, without leaking PHI
Trainees need feedback between supervision sessions. A HIPAA-safe review of drafts beats Reddit threads and group texts.
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Medication history a busy clinic cannot keep in one head
AI can reconstruct medication history, side-effect patterns, and practice-level prescribing that a busy psychiatry clinic cannot keep in one head.
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What auditors look for in a behavioral health note
Payers want medical necessity, add-on psychotherapy content, scales, and matching CPT codes. AI can catch those gaps before you sign.
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ESA letters, FMLA, and prior auths from the chart
Nextvisit drafts ESA letters, FMLA packets, and prior authorizations from the chart for clinician review.
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How AI supports psychiatry and therapy
AI supports structured documentation, longitudinal review, and insurance formatting. Clinicians use this information to make clinical decisions.
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Notes that finish during the visit
Nextvisit reduces provider administrative time by 68% on average, drafts structured notes, suggests codes, and exports to the EHR.
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Progress notes that write during the visit
Automated progress notes capture the encounter as it happens and write a structured record into the EHR, so the chart is not rebuilt after clinic.
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