Streamline Your SLP Progress Notes
Use our AI medical scribe to transform encounter audio into structured SLP progress notes. Maintain clinical fidelity while reducing the time spent on documentation.
HIPAA
Compliant
Built for Speech-Language Pathology
Focus on patient progress while our AI handles the heavy lifting of clinical documentation.
Structured Progress Note Templates
Generate notes tailored to SLP workflows, ensuring all critical therapy components are captured in a clear, professional format.
Transcript-Backed Accuracy
Verify every detail of your note against the original encounter transcript to ensure high-fidelity documentation before finalizing.
EHR-Ready Output
Produce clean, professional notes that are ready for review and easy to copy directly into your existing EHR system.
From Encounter to Final Note
Follow these steps to generate your SLP progress notes efficiently.
Record the Session
Use the web app to record your speech therapy session, capturing the essential clinical details and patient interactions.
Generate the Note
Our AI processes the audio to draft a structured progress note, including relevant clinical observations and therapy milestones.
Review and Finalize
Review the draft against transcript-backed citations, make necessary adjustments, and copy the final note into your EHR.
Optimizing SLP Documentation Standards
Effective SLP progress notes require a precise balance of objective data, subjective observations, and measurable progress toward long-term goals. Clinicians must document specific interventions, patient response to cues, and adjustments to the plan of care to satisfy billing and clinical requirements. Utilizing an AI documentation assistant allows SLPs to maintain this level of detail without the administrative burden of manual entry.
By leveraging transcript-backed source context, clinicians can ensure that their documentation accurately reflects the nuances of each therapy session. This approach not only improves the consistency of your notes but also provides a reliable audit trail for clinical review. Our AI scribe supports this by organizing session data into standard formats, allowing you to focus on the clinical narrative while ensuring all required elements are present.
More templates & examples topics
Browse Templates & Examples
See the full templates & examples cluster within Progress Note.
Browse Progress Note Topics
See the strongest progress note pages and related AI documentation workflows.
Aba Progress Notes
Explore Aduvera workflows for Aba Progress Notes and transcript-backed clinical documentation.
Activity Progress Notes
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Admission Progress Note
Explore Aduvera workflows for Admission Progress Note and transcript-backed clinical documentation.
Asam Progress Notes
Explore Aduvera workflows for Asam Progress Notes and transcript-backed clinical documentation.
Frequently Asked Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can the AI capture specific SLP terminology?
Yes, our AI is designed to recognize clinical terminology used in speech-language pathology, ensuring your progress notes reflect the specific interventions and clinical language used during your sessions.
How do I ensure the note accurately reflects the therapy session?
You can review your draft alongside transcript-backed source context and per-segment citations provided by the app, allowing you to verify the accuracy of every section before finalizing.
Does this tool support different types of SLP documentation?
Yes, the app supports various note styles and documentation workflows, allowing you to generate structured progress notes, patient summaries, or pre-visit briefs as needed.
Is the platform HIPAA compliant?
Yes, our platform is HIPAA compliant, ensuring that your clinical documentation and encounter data are handled with the necessary security standards for healthcare environments.
Reclaim your evenings from chart notes
Let Aduvera turn visit conversations into a cleaner first draft so you can review faster and finish documentation with less after-hours work.