Aura AI Scribe
Product Overview
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Use Cases
Primary Care Visit Documentation
A family physician opens Aura during routine patient visits. The AI captures conversations naturally while the doctor focuses on the patient. Within seconds of completing the visit, Aura generates a comprehensive note containing patient history, exam findings, assessment, and plan - saving over 2 hours daily.
Specialist Consultations
A neurosurgeon uses Aura during complex patient consultations. The system understands specialty-specific terminology and formats notes according to their preferred template. Prior visit history is automatically incorporated, allowing more time for discussing treatment options with patients.
Telehealth Appointments
During video visits, providers launch Aura directly from their EHR. The system captures remote patient conversations and generates structured documentation, maintaining the same quality and efficiency as in-person visits.
Follow-Ups
The system references earlier visit notes to maintain continuity of care.
Core Differentiators
Built by practicing physicians, Aura AI Scribe delivers unmatched accuracy while reducing administrative burden by 2+ hours daily. Our multi-model approach achieves 95%+ accuracy, while our proprietary SAFEai platform ensures continuous quality monitoring. The result is a solution that enhances efficiency and quality of care, allowing providers to focus more time on patients.
Specialty-Specific Intelligence
- Fine-tuned models trained with 100+ physicians across specialties
- Custom templates and pathways optimized for each medical discipline
- Clinical terminology and workflow adaptation for targeted specialties
Clinical Fingerprinting
- Learns and adapts to each provider's unique documentation style
- Maintains consistent voice and formatting preferences
Seamless Integration
- Integration options available with several EHRs
- Integrate discreet fields of AI note into EHR fields
Contextual Understanding
- Imports prior medical history for comprehensive documentation
- Eliminates redundant information capture
Demos
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