Suki

Suki is an AI clinical assistant that listens to patient encounters, generates documentation, and handles coding and administrative tasks so clinicians can focus on care.

Overview

Suki works as a voice-first assistant for clinicians: it ambiently listens to patient visits, produces structured clinical notes in the clinician’s preferred style, and pushes them into the electronic health record. Beyond documentation, Suki handles coding suggestions, order entry assistance, and answering questions about patient data through voice commands. The assistant adapts to individual preferences over time, learning note formats and phrasing that match how each clinician documents. Health systems deploy Suki to reduce documentation burden — a leading contributor to clinician burnout — while maintaining note quality. Integrations with major EHR platforms make deployment practical, and measurable time savings per encounter give administrators clear evidence of return. Suki’s architecture emphasizes speed and accuracy under real clinic conditions: noisy rooms, rapid speech, and specialty vocabulary, with quality checks that flag documentation gaps before sign-off. Health systems appreciate measurable metrics on documentation time and note quality, which make expansion decisions straightforward when clinicians report improved satisfaction with their daily workflow and reduced after-hours charting.

Key Features

• Ambient listening that generates structured encounter notes
• Coding suggestions and voice-assisted order entry
• Voice queries against patient data during visits
• Style adaptation to each clinician’s documentation preferences
• Integration with major electronic health record platforms
• Pre-sign-off quality checks flagging documentation gaps and inconsistencies

Pricing

Suki contracts with health systems and medical groups through enterprise agreements, typically priced per clinician per month. Onboarding includes EHR integration and preference training for each user.

Who Is It For

Physicians, nurse practitioners, and clinical groups whose days are consumed by documentation, and health systems addressing burnout with measurable administrative time savings. It fits specialties with high encounter volume where documentation consistently spills into evenings and weekends.