A High-Fidelity Alternative to M Modal Scribe
Compare how a review-first AI medical scribe handles your clinical documentation. Start a trial to turn your next patient encounter into a structured draft.
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Is this the right documentation fit?
For Clinicians
Best for providers who need high-fidelity notes that prioritize accuracy over generic summaries.
Review-First Workflow
Get a structured draft with transcript-backed citations instead of a black-box output.
Immediate Drafting
Move from recording an encounter to a finalized, EHR-ready note in one session.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around m modal scribe.
Beyond Basic Transcription
Precision tools for clinicians who require total control over their documentation.
Transcript-Backed Citations
Verify every claim in your note by reviewing the specific encounter segment that generated the text.
Structured Note Styles
Generate drafts in SOAP, H&P, or APSO formats that align with your specific clinical requirements.
EHR-Ready Output
Review your finalized note and copy it directly into your EHR without manual reformatting.
From Encounter to EHR
Transition from traditional scribe workflows to an AI-assisted drafting process.
Record the Encounter
Use the web app to record the patient visit in real-time.
Review the AI Draft
Check the generated note against the source context to ensure clinical fidelity.
Finalize and Paste
Make final edits to the structured note and paste it into your EHR system.
Evaluating AI Scribe Workflows
Clinical documentation requires more than just speech-to-text; it requires the synthesis of a conversation into a structured medical record. A strong clinical note must accurately capture the chief complaint, history of present illness, and a clear assessment and plan without omitting critical nuances. The goal is to produce a record that stands up to peer review and provides a clear longitudinal history for the patient.
Aduvera replaces the manual burden of drafting from memory by recording the encounter and generating a high-fidelity first pass. Unlike tools that provide a static summary, our workflow allows clinicians to click through citations to the original transcript. This ensures that the final note is a reflection of the actual visit, reducing the time spent correcting AI hallucinations or missing key clinical details.
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Common Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
How does this differ from M Modal Scribe?
We focus on a review-first workflow with per-segment citations, allowing clinicians to verify the source of every line in the draft.
Can I use my preferred note style, like SOAP or H&P?
Yes, the app supports common structured styles including SOAP, H&P, and APSO to match your documentation standards.
Does the app integrate directly into my EHR?
The app produces EHR-ready text that you review and then copy/paste into your existing EHR system.
Is the recording process secure?
Yes, the app supports security-first clinical documentation workflows to ensure patient data is handled according to regulatory standards.
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.