Suki

Suki provides ambient clinical intelligence to support clinicians by handling end-to-end documentation and workflow tasks. It targets healthcare providers and healthtech partners, aiming to reduce administrative burden and keep clinicians focused on patient care. The platform integrates into existing clinical workflows and supports multiple care settings and devices, emphasizing presence during patient interactions.

Suki operates by capturing patient encounters to generate structured notes, codes, and guidance within the clinician’s workflow. It supports real-time documentation, voice editing, and problem-based charting, adapting to how clinicians work while syncing outcomes back into the EHR. The system highlights its ability to work across desktop and mobile devices and across major EHRs, telehealth, and care management partners.

Suki emphasizes capabilities beyond transcription, including ambient documentation, order staging, and coding, with a multi-layered approach to ensure note quality and clinical relevance. The platform combines AI with clinical oversight to verify outputs, and it continually adds features as part of its end-to-end ambient assistant.

Suki outlines plans for broad platform compatibility, integrations, and limits stated by the site, including native AI capabilities, deep EHR integrations, and availability across web and mobile environments. It notes support for 100+ specialties, 80 languages, and multiple deployment settings (ambulatory, inpatient, telehealth, home health) with SOC 2 Type 2 certification and HIPAA compliance, positioning itself as an enterprise solution for large organizations.

Use cases

• Ambulatory and inpatient clinical documentation, coding, and patient communication
• Clinical reasoning and Q&A within the workflow