About
Suki is a revolutionary AI-powered platform designed to alleviate the burdens of clinical documentation and coding for healthcare professionals. By integrating seamlessly into existing workflows, Suki helps reduce clinician burnout by 60% while also cutting down note-taking time by 41%. With a focus on enhancing patient care, Suki empowers healthcare providers to spend more time with their patients and less time on administrative tasks.
The AI assistant works by understanding verbal commands and automatically generating accurate clinical notes, which can be edited and finalized by the healthcare professional. This intuitive system not only ensures compliance with documentation requirements but also helps in improving revenue through optimized coding.
Medical professionals across various specialties have found Suki to be a game-changer in their daily operations. The platform is designed to be user-friendly, requiring minimal training for staff, thus enabling quick adoption and immediate benefits. Suki also offers detailed analytics to help practices identify areas for improvement and efficiency.
In addition, Suki is continually evolving, with regular updates and improvements based on user feedback and the latest AI advancements. This commitment to innovation ensures that healthcare providers can rely on Suki to support their needs effectively.
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Tags
Use Cases
- Clinical documentation
- Medical coding
- Patient interaction
Target Audience
Pricing Plans
Basic Plan
Ideal for small clinics looking to streamline documentation.
Pro Plan
Best for larger practices needing advanced features.
Technical Details
- API Documentation
- https://docs.suki.ai/
- Integration Support
- EHR systemsPractice management software
- Platforms Supported
- WebiOSAndroid
- Security & Compliance
- HIPAAGDPR
- Uptime Status
- View Status Page
Performance Metrics
- Response Speed
- Fast
- Accuracy Score
- 9/10
- Stability Score
- 8/10
- Scalability
- High
AI-Specific Features
- Model Used
- NLP-based AI
- Architecture Type
- Cloud-based
- Training Data Cutoff
- 2023-10
Company Information
- Headquarters
- San Francisco, CA
- Team Size
- 50
- Founders
- Dr. Karthik Venkataraman, Dr. Rajesh Kumar
- Investors
- Sequoia Capital, Kleiner Perkins
Alternatives
Quick Info
- Pricing
- subscription
- API
- Available