High-Fidelity Automated Clinical Notes
Learn the essential elements of structured clinical documentation and how our AI medical scribe turns your recorded encounters into review-ready drafts.
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Is this the right workflow for your practice?
For Clinicians
Best for providers who need structured notes without the manual typing burden.
Get a Documentation Framework
Find the required sections for high-fidelity notes and a path to automate them.
Draft Your Own Notes
Use Aduvera to record a visit and generate a structured draft for your review.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around automated clinical notes.
Precision Controls for Automated Notes
Automation is only useful if the output is accurate. We prioritize clinician verification over blind generation.
Transcript-Backed Citations
Verify every automated claim by clicking per-segment citations that link directly to the encounter source.
Multi-Format Structuring
Generate automated drafts in SOAP, H&P, or APSO formats depending on the visit type.
EHR-Ready Output
Review the final structured draft and copy it directly into your EHR system.
From Encounter to Automated Note
Move from a live patient conversation to a finalized 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 Automated Draft
Check the structured note against the source context to ensure fidelity and clinical accuracy.
Finalize and Export
Edit any necessary details and copy the EHR-ready text into your patient's chart.
The Standard for Automated Clinical Documentation
Strong automated clinical notes must capture the essential components of a visit: the chief complaint, a detailed history of present illness, physical exam findings, and a clear assessment and plan. Fidelity depends on the AI's ability to distinguish between patient narratives and clinician observations, ensuring that the resulting SOAP or H&P note reflects the actual clinical logic used during the encounter.
Aduvera replaces the blank page by generating a first pass based on the recorded encounter. Instead of recalling details from memory or typing from shorthand, clinicians review a structured draft with direct links to the source transcript. This workflow ensures that the automation serves as a high-fidelity assistant, leaving the final clinical validation and sign-off to the provider.
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Common Questions About Automated Notes
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I choose the structure of my automated clinical notes?
Yes, the app supports common styles including SOAP, H&P, and APSO to match your specific documentation requirements.
How do I know the automated note didn't miss a detail?
You can review transcript-backed source context and per-segment citations to verify every part of the generated note.
Can I use this to create a pre-visit brief or patient summary?
Yes, alongside full clinical notes, the app supports workflows for patient summaries and pre-visit briefs.
Is the automated output compatible with my EHR?
The app produces structured text that is designed for clinician review and easy 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.