FMC ACES Charting
Learn the essential components of the ACES documentation format and use our AI medical scribe to generate your first draft from a live encounter.
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For ACES Users
Clinicians who need to document encounters using the Assessment, Care, Evaluation, and Summary (ACES) framework.
Structure Guidance
Get a clear breakdown of what belongs in each ACES section to ensure high-fidelity clinical notes.
AI-Powered Drafting
Turn a recorded patient visit into a structured ACES draft ready for your final review and EHR upload.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around fmc aces charting.
High-Fidelity ACES Documentation
Move beyond generic notes with a scribe designed for clinical accuracy and clinician verification.
ACES-Specific Structuring
Our AI organizes encounter data into the specific Assessment, Care, Evaluation, and Summary segments required for FMC ACES charting.
Transcript-Backed Citations
Verify every claim in your ACES note by reviewing per-segment citations linked directly to the encounter transcript.
EHR-Ready Output
Generate a polished, structured ACES note that you can copy and paste directly into your EHR after your final review.
From Encounter to ACES Note
Transition from the patient visit to a finalized chart in three practical steps.
Record the Visit
Use the web app to record the patient encounter, capturing the natural dialogue needed for a detailed ACES note.
Review the AI Draft
Review the generated ACES structure, using source context to ensure the Assessment and Evaluation sections are accurate.
Finalize and Export
Edit any necessary details and copy the finalized ACES note into your EHR system for permanent record.
Understanding the FMC ACES Charting Standard
FMC ACES charting focuses on a logical progression: Assessment of the patient's current state, the Care provided during the encounter, the Evaluation of the patient's response to that care, and a Summary of the plan moving forward. Strong ACES documentation avoids vague narratives, instead utilizing specific clinical observations in the Assessment and concrete interventions in the Care section to provide a clear audit trail of the clinical decision-making process.
Using an AI medical scribe for ACES charting eliminates the need to reconstruct these four distinct sections from memory. By recording the encounter, the AI captures the real-time Evaluation and Summary discussions, drafting them into the correct segments. This allows the clinician to shift their effort from manual data entry to a high-fidelity review of the transcript-backed draft, ensuring no critical detail from the Care or Assessment phases is omitted.
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FMC ACES Charting FAQs
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use the ACES format to create my own notes in the app?
Yes, the app supports drafting structured clinical notes in the ACES format based on your recorded encounters.
How does the AI handle the 'Evaluation' part of ACES?
The AI identifies the portion of the encounter where the patient's response to treatment or intervention is discussed and places it in the Evaluation section.
What happens if the AI misses a detail in the 'Care' section?
You can use the transcript-backed source context to find the exact moment the care was discussed and manually update the draft before finalizing.
Is the generated ACES note compatible with my EHR?
The app produces text-based, EHR-ready output that you can review and copy/paste 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.