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Drafting secure Therapy Notes with AI

Our AI medical scribe assists clinicians in generating structured, secure therapy notes. Maintain clinical accuracy while reviewing transcript-backed documentation.

No credit card required

HIPAA

Compliant

See how Aduvera turns a recorded visit into a transcript-backed clinical note that clinicians can review before charting.

Clinical Documentation Features for Therapists

Built to support the specific structure and review requirements of mental health documentation.

Structured Note Templates

Generate notes in standard clinical formats, ensuring all required sections are addressed during your review process.

Transcript-Backed Citations

Review your draft with per-segment citations that link directly to the encounter context, ensuring high-fidelity documentation.

secure Workflow

Designed with HIPAA compliance in mind, our platform supports your documentation needs while maintaining secure clinical standards.

From Encounter to Final Note

Follow these steps to generate and finalize your therapy notes using our AI documentation assistant.

1

Record the Session

Use our secure interface to record the therapy encounter, capturing the clinical conversation for documentation.

2

Generate the Draft

The AI processes the encounter to draft a structured note, allowing you to focus on clinical synthesis rather than transcription.

3

Review and Finalize

Verify the note against source context, make necessary edits, and copy the final output directly into your EHR system.

Maintaining Clinical Standards in Documentation

Effective therapy documentation requires a balance between capturing the nuance of a patient encounter and adhering to strict clinical standards. When utilizing AI to assist in drafting these notes, clinicians must ensure that the output reflects the actual session content while maintaining the structure required for compliance and continuity of care. High-fidelity documentation is achieved by reviewing the AI-generated draft against the original encounter context to confirm that clinical observations and patient progress are accurately represented.

By integrating an AI documentation assistant into your workflow, you can move from raw encounter data to a polished, EHR-ready note more efficiently. The goal is to leverage technology to reduce the administrative burden of note-taking without sacrificing the clinical depth that defines high-quality therapy. Clinicians retain full editorial control, ensuring that every note finalized in the EHR meets professional standards and accurately documents the therapeutic process.

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Frequently Asked Questions

Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.

What security, HIPAA, and privacy terms are available?

Aduvera is built for security-first clinical documentation workflows. Google Cloud HIPAA BAA and data-processing terms are in place upstream, Aduvera offers a customer BAA for eligible U.S. healthcare customers, and a DPA for customers that need GDPR or UK GDPR processor terms.

Can I edit the notes generated by the AI?

Yes, the AI provides a draft for your review. You are expected to verify the content, make any necessary clinical adjustments, and finalize the note before it enters your EHR.

Does the AI support specific therapy note styles?

The platform supports common clinical note styles, allowing you to generate drafts that align with your preferred documentation format.

How do I ensure the note accurately reflects the session?

You can use the transcript-backed source context and per-segment citations provided in the app to verify every part of the draft against the actual encounter.

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.