See a Therapy Notes Demo
Explore how our AI medical scribe transforms your patient encounters into structured, EHR-ready clinical documentation. Learn how to generate high-fidelity notes that you can review and finalize with confidence.
HIPAA
Compliant
See how Aduvera turns a recorded visit into a transcript-backed clinical note that clinicians can review before charting.
Clinical Documentation Features
Built for the specific requirements of therapy and mental health documentation.
Structured Note Generation
Automatically draft clinical notes in standard formats like SOAP or progress notes, ensuring consistent documentation across every session.
Transcript-Backed Review
Verify every section of your note by referencing the source context and per-segment citations directly within the application.
EHR-Ready Output
Generate finalized documentation ready for quick copy-and-paste into your existing EHR system, maintaining your preferred clinical style.
How to Generate Your First Note
Transition from understanding the format to creating your own clinical documentation.
Record the Encounter
Use the web app to record your session, capturing the clinical dialogue necessary for a comprehensive progress note.
Generate the Draft
The AI processes the encounter to create a structured note draft, including relevant clinical observations and patient history.
Review and Finalize
Examine the draft against the transcript-backed citations, make necessary clinical edits, and copy the final output into your EHR.
Optimizing Therapy Documentation Workflows
Effective therapy documentation requires capturing the nuance of a patient encounter while maintaining strict adherence to clinical standards. A high-fidelity AI scribe assists by drafting the initial record, allowing the clinician to focus on the patient rather than administrative tasks. By utilizing structured templates, clinicians can ensure that essential components—such as mental status exams, treatment progress, and intervention plans—are consistently addressed in every note.
The transition to AI-assisted documentation involves a shift toward a review-first model. Instead of manual entry, clinicians use the AI to generate a first-pass draft based on the session recording. This allows the clinician to act as the final authority, verifying the accuracy of the note against the source context before it is finalized. This workflow maintains the integrity of the clinical record while significantly reducing the time spent on post-session charting.
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Frequently Asked Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I see how the AI handles specific therapy note formats?
Yes. Our platform supports common clinical styles including SOAP and progress notes. You can test these formats by recording a mock session and reviewing how the AI structures the output.
How do I ensure the generated note matches my clinical observations?
The platform provides transcript-backed citations for every segment of the note. You can click on any section to see the source context, allowing you to verify and adjust the draft before finalizing.
Is the documentation process HIPAA compliant?
Yes, the entire workflow, from recording the encounter to generating and reviewing the note, is designed to be HIPAA compliant.
How do I move the note into my EHR?
Once you have reviewed and finalized the note within the application, you can easily copy and paste the text directly into your EHR system.
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.