A High-Fidelity Alternative to Prediction Health Medical Scribe
Compare how a review-centric AI documentation assistant handles clinical accuracy. Start your trial to see how our AI medical scribe drafts your first note.
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Is this the right documentation fit?
For clinicians who verify
Best for providers who require transcript-backed citations before finalizing any note.
Get a review-first workflow
Learn how to move from ambient recording to a structured, EHR-ready draft.
Draft your own notes
See how Aduvera turns your actual patient encounters into structured SOAP or H&P notes.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around prediction health medical scribe.
Beyond Basic Ambient Capture
Move past simple transcription to a high-fidelity clinical assistant.
Per-Segment Citations
Review the exact source context for every claim in your note to ensure clinical fidelity.
Structured Note Styles
Generate drafts in SOAP, H&P, or APSO formats tailored to your specific clinical needs.
EHR-Ready Output
Review your finalized note and copy it directly into your EHR system without reformatting.
From Encounter to Final Note
A practical workflow for clinicians who prioritize accuracy over automation.
Record the Encounter
Use the web app to record the patient visit in real-time.
Verify the Draft
Review the AI-generated note using transcript-backed source context to confirm accuracy.
Finalize and Paste
Adjust the structured output and paste the final note into your EHR.
Evaluating AI Scribe Fidelity
Clinical documentation requires more than just a transcript; it requires a structured synthesis of the encounter. High-fidelity notes must accurately capture the chief complaint, history of present illness, and a clear assessment and plan without introducing hallucinations. The value of a scribe tool lies in its ability to organize these elements into recognized formats like SOAP or APSO while maintaining the nuance of the patient-provider dialogue.
Aduvera improves this process by replacing the 'black box' of AI generation with a transparent review surface. Instead of trusting a generated summary blindly, clinicians can click into specific segments of the note to see the supporting evidence from the encounter. This workflow reduces the cognitive load of drafting from memory while ensuring the final EHR entry is a precise reflection of the visit.
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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 a standard Prediction Health medical scribe workflow?
We focus on a review-first approach, providing per-segment citations so you can verify every part of the note against the source context.
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 requirements.
Do I have to upload text files to get a note?
No, the primary workflow is recording the encounter directly within the web app to generate the draft.
Is the output compatible with my EHR?
The app produces EHR-ready text that you can review and copy/paste directly into your existing 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.