AI-Assisted Documentation for SOAP and FARM Notes
Our AI medical scribe generates structured SOAP and FARM notes directly from your patient encounters. Review transcript-backed citations to ensure clinical fidelity before finalizing your documentation.
HIPAA
Compliant
High-Fidelity Clinical Documentation
Tools built to support the specific structural requirements of SOAP and FARM formats.
Structured Note Generation
Automatically organize encounter data into standard SOAP or FARM formats, ensuring all required clinical components are captured.
Transcript-Backed Citations
Verify your documentation by reviewing per-segment citations that link your note content directly to the encounter transcript.
EHR-Ready Output
Generate clean, structured notes ready for your review and copy-paste workflow into any EHR system.
From Encounter to Final Note
Follow this workflow to generate and refine your clinical notes.
Record the Encounter
Capture the patient interaction using our HIPAA-compliant web app to create a high-fidelity transcript of the visit.
Select Your Format
Choose between SOAP or FARM note styles to have the AI draft your documentation based on the specific clinical context.
Review and Finalize
Verify the drafted note against the source transcript using citations, then copy the finalized text directly into your EHR.
Clinical Documentation Standards
The SOAP note (Subjective, Objective, Assessment, Plan) remains a foundational tool for clinical communication, while the FARM note (Findings, Assessment, Recommendations, Management) is frequently utilized in specialized clinical settings. Both formats require precise documentation to ensure continuity of care and accurate clinical reasoning. Maintaining these structures manually can be time-consuming, often leading to documentation fatigue.
Our AI medical scribe assists by mapping the natural flow of a patient encounter into these specific formats. By providing a structured draft that clinicians can review against the original transcript, we help maintain documentation accuracy while reducing the administrative burden of manual note-taking. Clinicians retain full control over the final output, ensuring that the clinical narrative remains authentic to the encounter.
More templates & examples topics
Browse Templates & Examples
See the full templates & examples cluster within SOAP Note.
Browse SOAP Note Topics
See the strongest soap note pages and related AI documentation workflows.
Abdominal SOAP Note
Explore Aduvera workflows for Abdominal SOAP Note and transcript-backed clinical documentation.
Abmp SOAP Notes
Explore Aduvera workflows for Abmp SOAP Notes and transcript-backed clinical documentation.
Abscess SOAP Note
Explore Aduvera workflows for Abscess SOAP Note and transcript-backed clinical documentation.
Acl SOAP Note
Explore Aduvera workflows for Acl SOAP Note and transcript-backed clinical documentation.
Frequently Asked Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
How does the AI distinguish between SOAP and FARM note requirements?
You can select your preferred note style within the app. The AI analyzes the encounter transcript to populate the specific sections required for either SOAP or FARM formats.
Can I edit the notes generated for SOAP or FARM formats?
Yes. The AI provides a draft for your review. You can edit any section of the note and verify the content against the transcript-backed source context before finalizing.
How do I ensure the FARM note includes all necessary management steps?
After the AI generates the draft, use the per-segment citations to verify that all clinical recommendations and management plans from the encounter are accurately reflected in your note.
Is the documentation process HIPAA compliant?
Yes. Our platform is designed to be HIPAA compliant, ensuring that your encounter audio and generated clinical notes are handled securely throughout the documentation 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.