Suki AI

by Suki AI  · Based in United States → — Ambient Clinical Intelligence engineered to transform your workflow
Family Medicine Hospital Medicine Internal Medicine

Paid, subscription-based
Regulatory Status Disclosed

Overview

Suki AI is an AI-powered voice assistant for doctors designed to reduce administrative burden and streamline medical documentation, enabling clinicians to focus more on patient care. It provides ambient clinical intelligence, acting as essential AI infrastructure for healthcare that powers every workflow. Suki goes beyond transcription, capturing entire patient conversations to generate complete, high-quality notes, patient instructions, and orders. It offers flexible capabilities like voice-enabled editing and problem-based charting, adapting to clinicians’ workflows and integrating directly into major EHRs like Epic, Oracle Health (Cerner), athenahealth, and MEDITECH. The platform supports various care settings and over 100 specialties, working seamlessly across desktop and mobile devices (iOS and Android). Suki’s end-to-end capabilities encompass documentation, coding, clinical reasoning, and Q&A, all within a single, AI-native solution. It is SOC2 Type 2 certified and HIPAA compliant, built for enterprise-grade security and scalability.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Ambient Clinical Documentation (captures patient conversations, generates notes)
  • Voice-enabled editing and commands for EHR interaction
  • Problem-based charting
  • Assisted Revenue Cycle (coding suggestions: ICD-10, HCC, CPT, E/M)
  • Clinical Reasoning (patient summaries, Q&A capabilities)
  • Deep EHR integrations (Epic, Oracle Health/Cerner, athenahealth, MEDITECH)
  • AI-native platform with end-to-end capabilities
  • Mobile app (iOS and Android) and desktop/web support
  • Multilingual support (80+ languages, notes generated in English)
  • Robust security posture (SOC2 Type 2 certified, HIPAA compliant, encryption)

Use Cases

  • Reducing administrative burden and clinician burnout
  • Streamlining medical documentation and charting
  • Improving clinician presence during patient encounters
  • Generating complete, high-quality clinical notes
  • Enhancing revenue cycle through accurate coding and reduced denials
  • Supporting clinical decision-making with patient summaries and Q&A

What Physicians Need to Know

Ambient Listening Capability
Suki AI is an ambient, voice-driven assistant that listens to clinician-patient conversations in real-time, converting audio to text and identifying different speakers (doctor vs. patient) to draft structured notes.
EHR Auto-Population
Suki offers deep, bi-directional integrations with major EHRs like Epic, Oracle Health, athenahealth, and MEDITECH, allowing it to pull chart data and write finished notes back without manual copy-pasting. Generated notes automatically populate narrative sections (e.g., HPI, ROS, PE, Assessment and Plan) and Suki can stage prescription orders directly into the EHR.
Note Template Customization
Clinicians can customize how Suki generates notes, choosing from SOAP, H&P, progress note, or custom template formats. Personalization options include the level of detail (short, balanced, detailed) and format (paragraphs or bullet points), with note sections customizable using standard LOINC codes.
Specialty-Specific Models
Suki AI supports over 100 medical specialties (some sources state 120+), generating notes that align with the specific terminology, abbreviations, and typical documentation structure of each specialty. It also supports problem-based charting.
Dictation Accuracy Rate
Suki has claimed 99% accuracy and 0% hallucination rate for voice recognition. It delivers high transcription accuracy, even with complex medical terminology and various accents, achieving 98% accuracy on real-world clinical voice commands with sub-300ms response times.
Real-Time vs Post-Visit Processing
Suki captures patient encounters and generates structured notes in real-time. Ambient order staging also occurs during the visit. Note generation is faster when online due to real-time audio processing, while offline processing occurs after the audio file uploads.
Multi-Speaker Recognition
Suki automatically identifies and differentiates between multiple speakers, such as the doctor and the patient, during the conversation.
Note Turnaround Time
Suki helps clinicians complete notes 41% to 72% faster on average, reducing after-hours work by 37% to almost 6 hours. Notes are generated almost instantaneously, typically within 10 to 15 seconds.
Chart Review Features
Suki offers patient summaries for pre-visit preparation and chart-aware Q&A capabilities, allowing clinicians to ask specific questions about patient data and receive instant answers. It also supports voice-enabled pre-charting and can pull the latest EHR updates into the note.
Physician Tip

To maximize efficiency, leverage Suki's voice commands for ordering, charting, navigation, and clinical Q&A to maintain a hands-free workflow. Customize note templates and personalization settings to match your preferred style and level of detail, minimizing editing time. Always ensure the correct specialty is selected to benefit from Suki's specialty-specific models and review AI-generated notes and staged orders for accuracy before finalization in the EHR. Utilize pre-visit patient summaries and chart Q&A for efficient encounter preparation and streamlined decision-making.

Suki offers deep, bi-directional integrations with leading EHRs including Epic, Oracle Health, athenahealth, and MEDITECH. It also partners with various health tech companies like WellSky, Zoom, AvaSure, and HealthEdge GuidingCare, embedding its AI capabilities into their platforms. Suki provides APIs and SDKs for partners to integrate its AI directly into their applications, with integration into athenahealth noted as turnkey with minimal IT resources.

Details

Category Documentation & Scribing
Pricing Paid, subscription-based
Free TrialUnknown
DeploymentCloud-based, with integrations for major EHRs.
Mobile AppYes, Suki offers mobile apps for iOS and Android.
API AvailableUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Not applicable AI-estimated
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

Suki AI is a voice-enabled AI assistant designed for healthcare, primarily to reduce administrative burden for physicians by automating clinical documentation. Reviews highlight its ability to integrate with EHRs and its potential to save time, though some users note a learning curve and occasional inaccuracies.

Overall: Positive

Strengths

  • Significantly reduces time spent on clinical documentation
  • Voice-enabled interface is intuitive for many users
  • Integrates with various Electronic Health Records (EHRs)
  • Improves physician satisfaction by offloading administrative tasks
  • Continuously learns and adapts to user's dictation style
  • Allows physicians to focus more on patient care

Limitations

  • Can have a learning curve for new users
  • Occasional inaccuracies or misinterpretations of dictation
  • Requires a quiet environment for optimal performance
  • Integration with some niche EHRs might be less seamless
  • Reliance on internet connectivity can be a limitation
  • Some physicians prefer traditional dictation or typing

Based on reviews from: G2, Capterra, Reddit (various healthcare subreddits), Healthcare IT News, Physician reviews on medical forums, Tech review sites

Last updated: 2026-07-23

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Press & Coverage

Suki AI Press Release
Suki Unveils Industry-First Ambient Orders Staging for its AI Assistant
Suki announced a new feature for its AI Assistant that generates and stages prescription orders from ambient visits, aiming to reduce administrative burden for clinicians. This capability will initially roll out to athenahealth EHR users.
2025-04
Suki AI Press Release
Suki Launches Nursing Consortium with Health Systems
Suki launched a nursing consortium with several health systems to develop 'Suki for Nurses,' a solution to streamline tasks and improve efficiency for frontline nurses by integrating with major EHRs. The initiative also includes a partnership with AvaSure to incorporate ambient documentation into their virtual care solutions.
2025-10
Suki AI Press Release
Suki Announces Strategic Investment from Zoom Ventures
Suki received an investment from Zoom Ventures, building on its $70 million Series D raise, to accelerate their partnership in integrating AI into Zoom's Clinical Workflow Solution. This investment will help Suki scale its technology and expand capabilities.
2025-01
Suki AI Press Release
Smarter Codes, Speedier Reimbursements: Suki Supercharges Revenue Cycle with Next-Gen AI Coding
Suki expanded its assisted revenue cycle capabilities with new ambient clinical intelligence models that improve documentation accuracy and automatically generate various medical codes. This aims to reduce amended encounters and improve reimbursement for health systems.
2025-10
Fierce Healthcare
Rush, McLeod Health and FMOL Health report revenue gains from Suki AI scribe
A KLAS Research study validated that three health systems using Suki's AI clinical intelligence experienced reduced documentation burden, less after-hours work, and financial gains through improved coding accuracy. These systems also reported increased clinician and patient satisfaction.
2026-02
HealthEdge Press Release
HealthEdgeu00ae and Suki Introduce Ambient Clinical Intelligence for Care Management
HealthEdge and Suki partnered to embed Suki's ambient listening capabilities into HealthEdge GuidingCareu00ae, a care management platform, to support health plan care managers. This integration aims to reduce administrative burden for care managers.
2026-01
PMC (PubMed Central)
Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe
This study evaluates the quality of LLM-generated clinical notes, specifically from Suki, using validated instruments and expert clinical review. It also establishes a methodology for comparing physician-authored and LLM-authored notes.
unknown
Forbes
Suki AI Is Healthcare's New Infrastructure - Forbes
Forbes highlights Suki's role in making ambient AI essential infrastructure for healthcare, citing partnerships with Athenahealth and Zoom. The article discusses how venture capital is heavily investing in ambient AI scribes as a foundational technology.
2025-05

Videos

Product demos, reviews, and walkthroughs for Suki AI.

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Frequently Asked Questions

Suki AI is a voice-first clinical assistant and ambient clinical intelligence platform designed to automate administrative tasks for physicians. It captures patient conversations through ambient listening to generate structured clinical notes, and allows voice commands for charting, ordering, and EHR navigation. This helps reduce documentation time by up to 70% and allows physicians to focus more on patient care.
Suki AI is HIPAA compliant and SOC 2 Type 2 certified, providing a Business Associate Agreement (BAA) to all customers. It employs multiple layers of security, including TLS 1.2 encryption for data in transit and AES-256 encryption for data at rest. For model training, Suki uses de-identified and anonymized data, and original audio recordings and transcripts are permanently deleted after 30 days.
Suki AI operates on a per-provider, per-month subscription model, with reported pricing around $299 for smaller clinics (Suki Compose) and $399 for larger practices (Suki Assistant). Transparent pricing is not publicly disclosed, as it uses an enterprise sales model with negotiated contracts. Potential additional costs can include implementation, onboarding, EHR integration customization, and specialized hardware like dedicated microphones.
Suki AI does not offer a choice of underlying AI models and has limited advanced clinical reasoning capabilities compared to full clinical AI copilots. It also lacks broader practice management features such as an AI receptionist, fax management, or prior authorization. Furthermore, its transcription accuracy can be affected by audio quality, and clinicians must still review and validate all generated notes.
Several alternatives exist for clinical documentation and AI assistance, including DeepScribe, Nuance Dragon Medical One, Augmedix, Abridge, and DeepCura AI. These competitors often vary in their focus, with some emphasizing pure ambient scribing, broader workflow automation, or different pricing models. Physicians should evaluate alternatives based on their specific workflow needs and budget.
Suki AI offers deep, real-time integrations with leading EHR systems such as Epic, Oracle Health (formerly Cerner), athenahealth, and MEDITECH. This integration allows Suki to seamlessly pull patient data from the EHR and write back structured clinical notes, orders, and summaries. The goal is to provide a hands-free EHR interaction and streamline documentation directly into the patient's chart.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-22 | First Added: 2026-04-22

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