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High-Fidelity Documentation for Mount Sinai EMR

Get a clear guide on drafting structured clinical notes for your workflow. Use our AI medical scribe to turn recorded encounters into EHR-ready drafts.

No credit card required

HIPAA

Compliant

Is this the right workflow for you?

Mount Sinai Clinicians

Best for providers who need structured, accurate drafts to copy into their specific EMR environment.

Review-First Approach

You will find how to verify every claim in a note using transcript-backed citations before finalizing.

Immediate Drafting

Aduvera helps you move from a recorded patient visit to a formatted note without manual typing.

See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around mount sinai emr.

Built for Clinical Accuracy

Move beyond generic summaries with tools designed for professional review.

EHR-Ready Output

Generate notes in SOAP, H&P, or APSO formats that are ready for clinician review and copy/paste into the Mount Sinai EMR.

Per-Segment Citations

Click any part of the drafted note to see the exact source context from the encounter recording.

Pre-Visit Briefs

Support your documentation workflow with patient summaries and briefs alongside your primary encounter notes.

From Encounter to EMR

A simple process to reduce your documentation burden.

1

Record the Visit

Use the web app to record the patient encounter in real-time.

2

Verify the Draft

Review the AI-generated structured note and use citations to ensure fidelity to the conversation.

3

Paste into EMR

Copy the finalized, clinician-approved text directly into your Mount Sinai EMR fields.

Optimizing Documentation for Mount Sinai EMR

Effective documentation within the Mount Sinai EMR requires a balance of structured data and narrative detail. High-quality notes should clearly delineate the Subjective and Objective findings, ensuring that the Assessment and Plan are explicitly linked to the evidence gathered during the encounter. This prevents fragmented records and ensures that any clinician reviewing the chart can follow the clinical reasoning without ambiguity.

Aduvera replaces the need to draft these sections from memory or fragmented shorthand. By recording the encounter, the AI scribe generates a first pass of the note that maintains the structure required for professional EHR entries. Clinicians can then review the transcript-backed source context to correct nuances before copying the final text into the EMR, ensuring the record is both accurate and complete.

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Common Questions

Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.

Can I use Aduvera with the Mount Sinai EMR?

Yes. Aduvera produces EHR-ready text that you can review and copy/paste directly into your EMR system.

How do I ensure the AI didn't miss a detail for my EMR note?

You can use the per-segment citations to check the drafted note against the original encounter recording.

Does the app support different note styles for different visit types?

Yes, it supports common clinical styles including SOAP, H&P, and APSO to match your documentation needs.

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.