AI scribes transcribe specialized terminology related to phonological processes, articulation errors, and speech sound disorders based on the clinician's dictation during the session. The transcription reflects the SLP's observations using profession-specific terminology that can later be refined if needed.

The clinical documentation generated through AI scribe dictation can be copied and pasted directly into your preferred EHR system. This workflow allows SLPs to maintain their existing documentation structure while reducing the time spent typing notes after sessions.

SLPs can verbally document client progress with specific AAC systems, including device navigation skills, symbol recognition, and communication success rates. The transcribed notes capture detailed observations about the client's interaction with their communication device without interrupting the flow of the therapy session.

AI scribes document the SLP's verbal observations about stuttering characteristics, including frequency, duration, and secondary behaviors during the assessment. The SLP dictates findings while maintaining focus on the client's communication patterns, creating a more natural therapeutic environment.

SLPs can dictate observations about a child's language sample, response to cueing, and progress during play-based or dynamic assessments. The voice-based documentation allows clinicians to maintain natural interactions with pediatric clients while capturing important clinical data for later analysis.

AI scribes transcribe the SLP's dictated observations about swallowing phases, oral motor function, and compensatory strategies during dysphagia sessions. The clinician's expertise in articulating specific findings about bolus control, laryngeal elevation, and aspiration risk creates comprehensive documentation that reflects the complexity of swallowing assessments.