Suki offers an AI-powered voice assistant that performs ambient documentation, dictation, and coding while integrating deeply with major electronic health record (EHR) systems. This technology reduces the administrative burden on clinicians, allowing them to focus more on patient care and improving operational efficiency within healthcare organizations.
Funding
$165M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians face significant administrative burdens due to extensive documentation requirements, leading to burnout and reduced time spent with patients. Existing solutions often lack seamless integration with electronic health record (EHR) systems, further complicating workflows. This administrative overhead detracts from patient care and impacts operational efficiency within healthcare organizations.
Solution
Suki offers an AI-powered voice assistant designed to alleviate the administrative workload on clinicians, allowing them to concentrate more on patient care. The Suki Assistant leverages ambient documentation, AI dictation, and coding capabilities to streamline clinical workflows. It integrates with major EHR systems through bidirectional, read/write capabilities, enabling clinicians to pre-chart in the EHR and finalize documentation within Suki. The AI is designed to minimize hallucinations and bias, ensuring clinician-reviewed content before EHR integration. Suki serves health systems of all sizes, offering implementation and ongoing support to ensure a hassle-free partnership.
Target Audience
The primary target audience includes physicians, CMIOs, and other clinical staff within health systems and medical groups seeking to reduce administrative burdens, improve EHR integration, and enhance patient care.
Features
- Ambient note generation, prescription ordering, and AI dictation within a single solution
- Deep EHR integration with bidirectional, read/write capabilities across major EHR systems, including Epic, Cerner, Athena, and Meditech
- AI safety protocols designed to minimize hallucinations and bias, ensuring clinician review before EHR submission
- Available on iOS, Android, web, and desktop platforms for flexibility
- Coding assistance with ICD-10 and HCC coding
- Ability to answer questions, providing quick access to information
- Integration directly within Epic Systems’ EHR