Built for concise visit summaries
NoteyDoc lets therapists start with a short written account of what happened, then draft and review a structured SOAP note. The therapist stays in control of the information included in the note.
Compare
NoteyDoc vs General AI Scribes
General AI scribes are commonly built around recording full visits and turning the encounter into documentation. NoteyDoc is narrower by design: therapist-reviewed SOAP drafting for OT, PT and SLP clinicians using concise typed summaries or optional voice notes.
Designed around therapy notes
General scribe products often target physician evaluation and medical visit documentation. NoteyDoc centers OT, PT, and SLP language, including skilled intervention wording, functional performance, response to treatment, and plan details.
Less reworking into SOAP
When a broad scribe produces a visit narrative or physician-style note, therapy teams may still need to recast the output into SOAP sections. NoteyDoc returns a therapy SOAP draft from the start.
Why recording-based scribes may not fit every therapy setting
Ambient AI scribes can make sense in settings where the visit is private, the workflow supports consent, and the desired output matches the scribe's documentation model. Therapy often happens in different circumstances. A school session may include minors, classroom interruptions, and shared spaces. Home health visits may include caregivers, household noise, or conversations that should not become part of a recording.
NoteyDoc uses brief therapist-supplied summaries, typed or optionally spoken, so the clinician chooses what enters the drafting process. The therapist can capture functional observations, cueing, assistance level, participation, patient education, and treatment response without recording the entire session. That makes the product useful when audio capture is not appropriate or does not align with the therapist's documentation habits.
The focus is also narrower than a general medical scribe. NoteyDoc is not trying to document every type of patient encounter. It is built only for OT, PT, and SLP SOAP notes, which helps keep the generated draft aligned with therapy documentation rather than physician visit conventions.
| Question | General AI scribes | NoteyDoc |
|---|---|---|
| How you input | Record the encounter or capture a long conversation for processing. | Type a short summary, or talk instead of typing; full-session recording is not required. |
| Turnaround time | Depends on recording length, processing, and post-visit review. | Creates a SOAP draft in under 7 seconds after summary submission. |
| Built for therapy | Often oriented toward physician visits and broader medical documentation. | Dedicated to OT, PT, and SLP documentation workflows. |
| Cost model | Frequently sold as an AI scribe platform tied to recorded encounters. | Subscription-based access for therapist-directed note drafting. |
Questions to ask before choosing an AI scribe for therapy
Check whether the product requires full-session audio, supports your organization's consent and privacy workflow, and produces the SOAP sections your clinical setting needs. Also confirm how transcripts are reviewed, whether a clinician can correct section-level wording, and how the draft reaches the existing EHR.
For a therapist who prefers to supply a few verified treatment facts after a visit, a summary-first tool may fit better than an ambient recorder. If your clinic already supports and prefers full-encounter capture, an AI scribe may be the more natural workflow.
General AI scribes FAQ
Does NoteyDoc record patient sessions?
No. NoteyDoc starts from a therapist's short written summary or optional spoken summaries; neither requires recording a patient treatment session.
Why does consent matter for general AI scribes?
Recording a full encounter can require a consent workflow before audio capture begins, and that may not fit every home health, school, or shared care environment.
How is NoteyDoc different from a physician-focused scribe?
NoteyDoc is limited to OT, PT, and SLP SOAP drafting rather than broad medical visit capture, so the output is shaped around therapy documentation needs.