Aces Charting for Clinical Documentation
Learn the essential components of the ACES format and see how our AI medical scribe transforms your recorded encounters into structured ACES drafts.
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Clinicians using ACES
Best for staff requiring a structured Assessment, Care, Evaluation, and Summary format for patient encounters.
Clear structural guidance
You will find the specific requirements for each ACES section to ensure documentation fidelity.
Automated first drafts
Aduvera converts your live patient recording into an ACES-formatted note for your final review.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around aces charting.
High-Fidelity ACES Note Generation
Move beyond manual entry with a review-first approach to ACES documentation.
Segmented ACES Drafting
The AI organizes the encounter into distinct Assessment, Care, Evaluation, and Summary blocks, eliminating manual sorting.
Transcript-Backed Citations
Verify every claim in your ACES note by clicking per-segment citations that link directly to the source encounter text.
EHR-Ready Output
Once you review the ACES draft for accuracy, copy the structured text directly into your EHR system.
From Encounter to ACES Note
Turn a live patient visit into a structured clinical record in three steps.
Record the Encounter
Use the web app to record the patient visit; the AI captures the clinical dialogue in real-time.
Review the ACES Draft
The AI generates a draft following the ACES structure. Review the Assessment and Care sections against the source transcript.
Finalize and Export
Edit any details for clinical accuracy and paste the finalized ACES note into your patient's chart.
Understanding the ACES Documentation Standard
Aces charting focuses on a logical progression: Assessment (the current status and findings), Care (the interventions or treatments provided), Evaluation (the patient's response to that care), and Summary (the overall conclusion and next steps). Strong ACES documentation avoids vague narratives, instead utilizing specific clinical observations in the Assessment and measurable outcomes in the Evaluation section to provide a clear longitudinal view of the patient's progress.
Using an AI medical scribe for ACES charting removes the burden of recalling specific dialogue for the Evaluation and Summary sections. Instead of drafting from memory, clinicians can review a high-fidelity draft generated from the actual encounter recording. This ensures that the 'Care' provided and the 'Evaluation' of that care are captured exactly as they occurred, providing a verifiable audit trail through transcript-backed source context.
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Common Questions on ACES Charting
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 generate drafts following the ACES pattern.
How does the AI handle the 'Evaluation' part of ACES?
The AI identifies the patient's responses and clinical outcomes mentioned during the recording to populate the Evaluation section.
What happens if the AI misses a detail in the 'Care' section?
You can use the transcript-backed source context to identify the missing detail and edit the draft before finalizing the note.
Is the ACES output compatible with my EHR?
The app produces EHR-ready text that you can review and copy/paste directly into any electronic health record 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.