DeepScribe
DeepScribe is an AI-powered medical scribe that transforms patient conversations into accurate, clinical documentation to help healthcare providers reduce burnout and focus on patient care.
V7 is an AI data engine providing a unified platform for training data labeling, automated annotation, and model management to accelerate the development of computer vision applications.
Quick Comparison
| Feature | DeepScribe | V7 |
|---|---|---|
| Website | deepscribe.ai | v7labs.com |
| Pricing Model | Custom | Subscription |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2017 | 2018 |
| Headquarters | San Francisco, USA | London, UK |
Overview
DeepScribe
DeepScribe helps you reclaim your time by automating clinical documentation through ambient AI. Instead of typing notes during or after visits, you simply record the patient encounter using your smartphone. The platform listens to the natural conversation, filters out small talk, and extracts relevant medical information to create a complete, structured clinical note directly in your EHR system.
You can customize how your notes are generated to match your specific specialty and personal documentation style. By removing the burden of manual data entry, the software allows you to focus entirely on your patient during the exam while ensuring your charts are finished by the end of the day. It is designed for clinicians in private practices and large health systems who want to eliminate 'pajama time' spent on paperwork.
V7
V7 is an automated training data platform designed to help you build and deploy computer vision models faster. You can manage the entire AI lifecycle in one place, from uploading raw images and video to labeling data with AI-powered tools and monitoring model performance. It eliminates the need for fragmented tools by combining data management, manual annotation, and automated workflows into a single, collaborative environment.
You can automate up to 90% of your labeling tasks using the platform's 'Auto-Annotate' feature, which identifies object boundaries with high precision. Whether you are a small research team or a large enterprise in healthcare, manufacturing, or autonomous driving, V7 helps you maintain high data quality while significantly reducing the time spent on manual tasks. It scales with your needs, offering robust API access and seamless team collaboration features.
Overview
DeepScribe Features
- Ambient AI Capture Record your patient encounters naturally without using wake words or manual dictation while the AI captures every clinical detail.
- EHR Integration Sync your completed notes directly into your existing electronic health record system to maintain a single source of truth.
- Specialty-Specific Logic Tailor your documentation templates to match the unique requirements of your medical specialty for more accurate clinical summaries.
- Customizable Note Formats Adjust the structure and style of your generated notes to reflect your personal preferences and professional writing voice.
- HIPAA-Compliant Security Protect your patient data with enterprise-grade encryption and privacy standards that meet all healthcare regulatory requirements.
- Mobile App Access Turn your iPhone or iPad into a powerful medical scribe so you can document visits from any exam room.
V7 Features
- AI Auto-Annotation. Create complex polygons and masks in seconds by simply clicking on objects, reducing your manual labeling time by up to 90%.
- Video Labeling. Annotate video files with frame-by-frame precision and use object tracking to automatically follow items across multiple frames.
- Dataset Management. Organize millions of images and videos with powerful filtering, versioning, and metadata tagging to keep your training data structured.
- Real-time Collaboration. Work together with your team in real-time, assign tasks to labelers, and use built-in chat to resolve data ambiguities quickly.
- Quality Control Workflows. Build custom multi-stage review pipelines to ensure every annotation meets your accuracy standards before it reaches your model.
- Model Management. Deploy your trained models as labeling assistants or run them in the cloud to automate your data pipeline end-to-end.
Pricing Comparison
DeepScribe Pricing
V7 Pricing
- For students and researchers
- Auto-Annotate tool access
- Up to 100 images
- Community support
- Public datasets only
- Everything in Education, plus:
- Private datasets
- Priority support
- Advanced video labeling
- API and CLI access
- Custom workflow stages
Pros & Cons
DeepScribe
Pros
- Significantly reduces time spent on clinical documentation
- Allows for more eye contact and engagement with patients
- Integrates directly with popular EHR platforms like Epic
- Captures nuances of natural conversation accurately
- Easy to set up using a standard iPhone
Cons
- Requires a stable internet connection for processing
- Occasional manual edits needed for complex medical terms
- Pricing can be high for very small practices
V7
Pros
- Auto-annotate tool is exceptionally fast and accurate
- Intuitive interface makes it easy to onboard new labelers
- Superior handling of high-resolution medical imaging files
- Robust API allows for deep integration into existing pipelines
Cons
- Pricing can be high for very small startups
- Occasional lag when handling extremely large video files
- Learning curve for setting up complex automated workflows