
Sunoh
Speech recognition tool for quick clinical note-taking in healthcare.

Sunoh is a speech recognition assistant designed for healthcare settings. It listens to conversations between medical providers and patients, turning these discussions into organized clinical notes.
This process saves valuable time, as healthcare professionals can avoid lengthy documentation and focus more on patient care. By using Sunoh, providers can reclaim up to two hours each day, significantly reducing their paperwork burden. The assistant integrates smoothly with existing electronic health record systems, ensuring a seamless workflow.
This efficiency not only enhances patient interactions but also helps reduce burnout among medical staff, making it a vital resource in busy practices.
- Document patient encounters quickly
- Improve accuracy of clinical notes
- Reduce time spent on paperwork
- Streamline communication between staff
- Enhance patient interaction during visits
- Facilitate better record-keeping practices
- Assist in managing patient follow-up
- Capture detailed conversations effortlessly
- Simplify integration with EHR systems
- Support multi-speaker conversations effectively
- Saves time by reducing documentation workload
- Enhances patient-provider interaction
- Integrates seamlessly with EHR systems
- Offers accurate speech recognition
- Reduces clinician burnout

Automated medical documentation for healthcare providers.

AI medical scribe for efficient patient documentation.

Automated documentation for healthcare professionals during patient visits.

Automated documentation for healthcare providers from patient conversations.

AI assistant for creating accurate medical consultation notes.

AI-driven clinical note generator for healthcare professionals.

AI-driven medical scribe for efficient healthcare documentation.

Automated documentation for healthcare professionals.
Product info
- About pricing: No pricing info
- Main task: Healthcare tools
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Target Audience
Physicians Nurse Practitioners Medical Administrators Healthcare IT Specialists Clinical Staff