Better Documentation for Mount Sinai Patient Records
Learn how to capture high-fidelity encounter data and use our AI medical scribe to generate structured drafts for your patient records.
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Mount Sinai Clinicians
Best for providers needing to generate accurate, structured notes from live patient encounters.
Drafting Support
You will find a workflow to move from a recorded visit to a finalized, EHR-ready clinical note.
AI-Powered Drafting
Aduvera turns your recorded encounters into structured drafts you can review and copy into your records.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around mount sinai patient records.
High-Fidelity Drafting for Clinical Records
Move beyond manual entry with tools designed for clinician verification.
Transcript-Backed Citations
Verify every claim in your draft with per-segment citations linked directly to the encounter recording.
Structured Note Styles
Generate drafts in SOAP, H&P, or APSO formats to match the requirements of your patient records.
EHR-Ready Output
Review your finalized note in a clean format designed for quick copy-and-paste into your EHR system.
From Encounter to Patient Record
A streamlined path to completing your documentation.
Record the Encounter
Use the web app to record the patient visit in real-time, capturing the natural clinical dialogue.
Review the AI Draft
Check the generated structured note against the source context to ensure clinical fidelity.
Finalize and Export
Make final edits to the draft and copy the text directly into the patient's official record.
Maintaining Fidelity in Patient Documentation
High-quality patient records require a precise balance of subjective patient reports and objective clinical findings. Strong documentation should clearly delineate the chief complaint, history of present illness, and a structured assessment and plan, ensuring that no critical detail from the encounter is omitted during the transition from conversation to chart.
Aduvera replaces the burden of drafting from memory by using the actual encounter recording to build the first pass. By providing transcript-backed source context, clinicians can verify specific patient statements and clinical decisions before the note ever reaches the EHR, reducing the risk of documentation gaps.
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Common Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use this to draft notes for Mount Sinai patient records?
Yes, you can record your encounters and use Aduvera to generate structured drafts to be reviewed and pasted into your records.
Does the app support different note formats for my records?
Yes, the app supports common clinical styles including SOAP, H&P, and APSO to fit your specific documentation needs.
How do I ensure the AI draft is accurate before it goes into the record?
You can review per-segment citations and the original transcript context to verify every part of the note before finalizing.
Is the recording process secure?
Yes, the app supports security-first clinical documentation workflows to ensure the privacy and security of patient data.
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.