Sunoh

Sunoh is an AI medical scribe from eClinicalWorks that listens to patient visits and turns conversations into structured clinical notes in seconds. (★ 4.1 on Capterra)

Overview

Sunoh’s ambient listening technology captures the natural dialogue between provider and patient, produces a transcript, and drafts a categorized progress note — including SOAP sections — that clinicians review, edit and push into the EHR. It also assists with order entry, capturing labs, imaging, procedures, medications and follow-up details mentioned during the visit. Sunoh says more than 100,000 healthcare providers use the platform, and that it saves clinicians up to two hours of documentation time every day. It works across specialties and languages, on desktop computers as well as iOS and Android devices. Providers review and edit the draft before importing it, keeping full control over the final record, and documentation is frequently completed before the clinician even leaves the exam room — effectively ending the after-hours “pajama time” spent catching up on charts.

Key Features

• Ambient AI listening that drafts clinical notes from real patient conversations
• Structured progress notes and SOAP drafts ready for review in seconds
• AI-assisted order entry for labs, imaging, procedures and medications
• Integrations with Epic, Cerner, athenahealth, eClinicalWorks, ModMed, Practice Fusion and Tebra, plus an EHR Sync browser extension for other systems
• Multilingual support and recognition of varied accents and dialects
• Custom templates and fields that match each practice’s documentation style
• Handles multi-speaker visits, distinguishing provider, patient and family voices
• HIPAA safeguards with a Business Associate Agreement and industry-standard encryption

💳 Pricing

$149 per user per month (limited-time rate; regular price $199 per user per month). A free trial is available, implementation services are included, and there is no long-term commitment.

Who Is It For

Physicians and care teams in primary and specialty care who want to cut after-hours charting, and practices and health systems looking to reduce documentation burden, errors and clinician burnout.