What Suki does
Suki is an AI clinical assistant and developer platform for ambient note generation, dictation, coding and administrative support, patient-context retrieval, and EHR-connected workflows.
Suki spans a clinician-facing assistant and an embeddable developer platform. Ambient sessions, dictation, note templates, assistant commands, and EHR context can be combined without making the AI the legal author of the medical record. Embedded deployments add flexibility but place more responsibility on the integrator for authentication, consent, error handling, and user interface review.
A universal public price was not available for the reviewed enterprise and partner offerings. Quotes can vary with clinicians, encounters, API volume, integrations, implementation, support, features, and reseller terms. Buyers should distinguish the clinician application from developer-platform metering and document rate limits, sandbox access, service levels, data retention, and overage behavior.
Suki's developer documentation describes HIPAA controls, BAAs, TLS 1.2 in transit, AES-256 at rest, and published ambient-session retention: audio and transcript deleted after 30 days, while the final note is retained for the contract term. It also describes de-identification for model improvement. Organizations should verify those terms for their edition, obtain patient consent, minimize retention, restrict access, and test speaker attribution, medical vocabulary, negation, and hallucination.
How Suki works
Suki receives live or recorded encounter audio, dictated text, or structured patient context through its applications, EHR integration, or developer APIs. Speech recognition creates a transcript and Suki's clinical systems summarize it into a selected note format; supported assistant actions can retrieve context or draft other clinical and administrative content. Integrators send session identifiers and handle returned notes. Clinicians must obtain consent, confirm identity, review the source and draft, correct errors, and authorize every write or order-related action.
How to set up Suki
Select application or platform
Decide whether clinicians use Suki directly or an embedded integration, then define specialties, sessions, actions, users, regions, and success measures.
Contract for protected data
Review the BAA, security program, de-identification and model terms, retention, deletion, subprocessors, incident response, pricing, and service levels.
Build least-privilege connectivity
Use sandbox credentials, authenticated patient and clinician context, scoped EHR permissions, idempotent writes, timeouts, and auditable session identifiers.
Validate clinical edge cases
Test noisy rooms, accents, multiple speakers, abbreviations, medication doses, negation, templating, consent refusal, and partial or failed sessions.
Require final clinician control
Show source context and editable drafts, prevent silent writes, train users to reconcile content, monitor high-severity errors, and preserve a downtime workflow.
Suki FAQs
Is Suki only an ambient scribe?
No. Suki also offers dictation, assistant workflows, context retrieval, and a developer platform for embedding supported clinical documentation capabilities.
How much does Suki cost?
Current enterprise and partner pricing is quote-based. Confirm whether clinicians, encounters, API use, integrations, implementation, support, and overages are included.
How long does Suki retain ambient data?
Developer documentation reviewed August 10 says audio and transcripts are deleted after 30 days and final notes remain for the service contract; verify the contracted edition.
Does Suki require patient consent?
Its developer documentation places responsibility on the clinician or integrator to obtain necessary patient consent before sending personal data.
Was Suki tested hands-on for this listing?
No. This is a documentation-based review of official product, developer, security, legal, and support materials.
Listing reviewed 2026-08-10. Product details and pricing can change; verify important terms on the provider's website.
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