Achieve Accurate Documentation Without Manual Entry
Learn the requirements for high-fidelity clinical notes and how our AI medical scribe turns your recorded encounters into verifiable drafts.
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For clinicians who prioritize fidelity
Best for providers who refuse to sacrifice documentation accuracy for speed.
Get a framework for verification
Learn how to use transcript-backed citations to ensure every claim in a note is supported.
Turn encounters into drafts
See how Aduvera converts a live recording into a structured, EHR-ready note for your review.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around accurate documentation.
Tools for High-Fidelity Notes
Accuracy is a result of rigorous review, not just generation.
Transcript-Backed Source Context
Review the exact segment of the encounter that informed a specific part of the note to prevent hallucinations.
Per-Segment Citations
Verify clinical facts quickly with citations that link note text directly back to the recorded encounter.
EHR-Ready Structured Output
Generate notes in SOAP, H&P, or APSO formats that are ready for final clinician sign-off and copy/paste.
From Encounter to Accurate Note
Move from a live patient visit to a verified clinical record in three steps.
Record the Encounter
Use the web app to record the patient visit, capturing the natural dialogue and clinical details.
Review the AI Draft
Examine the structured note and use citations to cross-reference the draft against the source transcript.
Finalize and Export
Edit any necessary details and copy the high-fidelity output directly into your EHR system.
The Standard for Accurate Clinical Documentation
Accurate documentation relies on the precise capture of subjective complaints, objective findings, and the clinical reasoning used to reach a diagnosis. High-fidelity notes avoid vague summaries and instead prioritize specific patient quotes, exact dosages, and clear chronological sequences of events. When documentation lacks this granularity, it creates gaps in the longitudinal record and increases the burden of review for subsequent providers.
Aduvera eliminates the reliance on memory by recording the encounter and generating a first pass based on the actual dialogue. Rather than trusting a 'black box' output, clinicians use our review surface to check citations and source context before finalizing the note. This shift from manual drafting to expert verification ensures that the final EHR entry is an accurate reflection of the patient encounter.
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Common Questions on Documentation Accuracy
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
How do I know the AI didn't invent a clinical detail?
You can click on per-segment citations to see the exact part of the transcript the AI used to generate that specific piece of information.
Can I use my own preferred note structure for accurate documentation?
Yes, the app supports common styles like SOAP, H&P, and APSO to ensure the output matches your required clinical format.
Does the app allow me to edit the note before it goes into the EHR?
Yes, the app is designed as a drafting assistant; you review and edit the output before copying it into your EHR.
Can I start a trial to see how it handles my specific patient encounters?
Yes, you can start a trial to record a visit and see how the AI drafts a structured, cited note for your review.
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.