Suki

Suki AI is an enterprise-grade, voice-first AI clinical assistant built to ease clinician burnout by automating the medical documentation process. Utilizing advanced ambient listening algorithms, it securely sits in the background during an encounter to capture natural doctor-patient dialogue. The platform automatically separates conversational chitchat from medical data, structuring the interaction into complete, high-quality SOAP notes, History and Physical (H&P) reports, or progress notes in real time.

Unlike standard AI scribes that only generate text summaries, Suki acts as an active, hands-free interface for Electronic Health Records (EHR) through its advanced toolsets:|

Voice Command Mode: Clinicians can issue direct verbal instructions to navigate charts, order prescriptions, or alter text hands-free (e.g., saying "Order Metformin 500mg" or "Show me the patient's last A1c").

Ambient Order Staging: When a treatment pathway is discussed naturally during a visit, Suki detects the intent, codes the prescription or lab order, and automatically stages it inside the system, leaving it ready for a single verification click by the provider.

Suki goes beyond basic dictation to offer deep data retrieval and external software extensibility:

Chart Q&A: Providers can speak natural-language questions (such as "When was this patient's last colonoscopy?") and Suki instantly parses the historical record to surface the exact answer without requiring manual tab digging.

Suki for Partners (SDK/API): Suki provides a comprehensive developer platform equipped with flexible APIs and Web/Mobile SDKs. This allows external healthtech companies and telehealth platforms to embed Suki's ambient transcription, problem-based charting, and discrete data elements natively into their own proprietary applications.

Suki is recognized for having one of the most deeply embedded, bi-directional integration architectures on the market. It maintains native, real-time synchronization hooks with the four leading electronic health record platforms: Epic, Oracle Health (Cerner), athenahealth, and MEDITECH. Because these connections are bi-directional, data pulls seamlessly out of the patient's existing file to give Suki context, and finalized notes or staged orders push straight back into the correct EHR fields automatically.