AduveraAduvera

Acumen Aces Charting

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

No credit card required

HIPAA

Compliant

Is this the right workflow for you?

Clinicians using ACES

Best for staff requiring a structured narrative that captures assessment and clinical evidence clearly.

Documentation guidance

You will find the necessary sections and review points required for a high-fidelity ACES note.

AI-powered drafting

Aduvera turns your recorded patient encounter into a structured ACES draft for your final review.

See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around acumen aces charting.

High-Fidelity ACES Documentation

Move beyond manual entry with a review-first AI workflow.

ACES-Aligned Structure

The AI organizes encounter data into the specific Assessment, Clinical evidence, and Evaluation segments required for ACES.

Transcript-Backed Citations

Verify every clinical claim in your ACES note by clicking per-segment citations linked directly to the encounter transcript.

EHR-Ready Output

Once reviewed, copy your structured ACES note directly into your EHR without reformatting.

From Encounter to ACES Note

Turn a live patient visit into a finalized chart in three steps.

1

Record the Visit

Use the web app to record the patient encounter, capturing the natural dialogue and clinical findings.

2

Review the AI Draft

Aduvera generates an ACES-style draft; review the source context to ensure the clinical evidence is accurately represented.

3

Finalize and Paste

Edit any segments for precision and paste the finalized, structured note into your EHR system.

Understanding the ACES Charting Standard

Acumen Aces charting focuses on a logical progression from the initial assessment to the clinical evidence and subsequent evaluation. A strong ACES note must clearly delineate the patient's presenting problem, the objective data supporting the clinical impression, and the specific rationale for the chosen intervention. This prevents narrative drift and ensures that any reviewing clinician can trace the decision-making process through documented evidence.

Drafting these notes from memory often leads to omitted clinical details or fragmented narratives. Aduvera solves this by recording the encounter and mapping the conversation directly to the ACES framework. Instead of starting from a blank page, clinicians review a high-fidelity draft where every statement is backed by the original transcript, ensuring that the final chart is an accurate reflection of the visit.

More narrative & soapie charting topics

Acumen Aces Charting FAQs

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

Can I use the ACES format specifically within Aduvera?

Yes, the app supports structured clinical notes and can be used to draft the specific sections required for ACES charting.

How does the AI handle the 'Clinical Evidence' portion of ACES?

The AI extracts objective findings and patient statements from the recording to populate the evidence section, which you then verify via citations.

What happens if the AI misses a key piece of ACES documentation?

You can review the transcript-backed source context to find the missing detail and edit the draft before finalizing the note.

Is the recorded encounter data protected during ACES drafting?

Yes, the app supports security-first clinical documentation workflows to ensure patient data is handled securely during the recording and drafting process.

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.