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ASAM Progress Notes

Learn the essential components of ASAM-compliant documentation and use our AI medical scribe to generate your first draft from a live encounter.

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HIPAA

Compliant

Is this the right workflow for your clinic?

Behavioral Health Providers

Best for clinicians managing patients under ASAM criteria who need structured, dimensional progress notes.

Dimensional Documentation

Get a clear breakdown of the six ASAM dimensions and how to document progress within each.

Drafting from Encounters

Move from a patient conversation to a structured ASAM draft without manual data entry.

See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around asam progress notes.

High-fidelity ASAM documentation

Ensure every dimension is captured and verified before you sign the note.

Dimension-Specific Drafting

The AI organizes encounter data into the six ASAM dimensions, ensuring no critical stability or risk factor is omitted.

Transcript-Backed Citations

Click any segment of the ASAM note to see the exact part of the encounter transcript that supports the clinical claim.

EHR-Ready Output

Review the structured ASAM note and copy it directly into your EHR, maintaining the required dimensional formatting.

From encounter to ASAM note

Turn your patient visit into a structured clinical record in three steps.

1

Record the Session

Use the web app to record the encounter; the AI captures the clinical dialogue and patient responses in real-time.

2

Review Dimensional Drafts

The AI generates a draft organized by ASAM dimensions; you review the citations to ensure accuracy in risk and stability levels.

3

Finalize and Export

Edit any specific dimension for precision, then copy the finalized note into your EHR system.

Structuring ASAM Progress Notes for Clinical Accuracy

Strong ASAM progress notes must move beyond generic narratives to address the six dimensions of care: acute intoxication/withdrawal, biomedical conditions, cognitive/behavioral complications, readiness to change, relapse potential, and recovery environment. Documentation should explicitly note changes in stability or risk within these dimensions to justify the current level of care and support medical necessity for continued treatment.

Aduvera replaces the manual effort of mapping a conversation to these six dimensions. Instead of recalling specific patient quotes after the session, clinicians use the AI scribe to capture the encounter live. The system then organizes the dialogue into the ASAM structure, allowing the provider to verify each dimensional claim against the source transcript before finalizing the note.

More templates & examples topics

Common Questions on ASAM Documentation

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

Can I use the ASAM progress note format in Aduvera?

Yes, the AI scribe supports drafting structured notes that align with ASAM dimensional requirements for behavioral health.

How does the AI handle the six ASAM dimensions?

The AI analyzes the recorded encounter and categorizes relevant clinical information into the corresponding ASAM dimensions for your review.

What happens if the AI misses a specific dimension during the visit?

You can easily add missing details during the review phase or use the transcript-backed context to ensure the note is complete.

Is the output compatible with my behavioral health EHR?

The app produces a structured text output that you can review and copy/paste directly into any 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.