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Suki

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Boost efficiency and enhance patient care with Suki, the AI-powered voice assistant for healthcare professionals. Save time on administrative tasks and access patient information effortlessly. Experience personalized care with Suki.

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What is Suki?

Suki is an AI-powered voice assistant that caters specifically to healthcare professionals. Its main purpose is to streamline administrative tasks such as dictation, note creation, diagnosis code selection, and patient information retrieval from Electronic Health Records (EHR). By utilizing Suki, clinicians can save valuable time and effort, enabling them to focus on delivering personalized and attentive care to their patients. Suki is designed with an emphasis on user-friendliness and intuitiveness. It incorporates natural language processing (NLP) capabilities, allowing clinicians to interact with it effortlessly using their own voice. This AI-powered assistant exhibits advanced command comprehension and provides accurate responses. With its robust search engine and integration with EHRs, clinicians can conveniently access the patient information they require. Ultimately, Suki empowers healthcare providers by granting them additional time to dedicate to delivering high-quality care to their patients.

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Website traffic

  • Monthly visits
    21.75K
  • Avg visit duration
    00:01:16
  • Bounce rate
    62.23%
  • Unique users
    --
  • Total pages views
    42.36K

Access Top 5 countries

Traffic source

Suki FQA

  • What are the benefits of using Suki?icon plus
  • What solutions does Suki offer?icon plus
  • How does Suki integrate with EHRs?icon plus
  • What can Suki do?icon plus
  • What are some customer testimonials for Suki?icon plus

Suki Use Cases

Generate notes ambiently

Takes dictation and commands

Simplifies coding

Answers questions

Deep EHR integrations

Save time on clinical tasks

Reduce clinical documentation time by 72%

Improve the practice experience

Create notes in ambient, dictation, or command modes

Sync content between Suki and EHR

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