Clinical Notes. Structured. Verified. Real-time.
Deployed AI solution transforming clinical workflows across healthcare institutions. Clara converts physician-patient conversations into structured medical records in real-time, recovering 67% of administrative time while maintaining complete clinical accuracy and audit compliance.
Proven AI systems addressing critical operational bottlenecks in healthcare delivery. Each implementation is production-tested, HIPAA-certified, and designed for seamless integration with existing clinical infrastructure. Clara represents our flagship deployment in clinical documentation automation.
Clara
Clinical Documentation AI
Autonomous medical documentation system deployed across radiologists, occupational health physicians, and primary care settings. Captures natural clinical conversations, extracts structured medical entities (diagnoses, treatments, observations), and generates audit-ready clinical notes synchronized with existing EMR systems—eliminating 45 minutes of documentation per clinical encounter.
Key Features
"As a radiologist, my attention goes fully to the patient and interpretation. Throughout my day, I use Clara to speak as I review scans per patient. The report is generated instantly, allowing me to stay focused and move efficiently between cases. Clara fits naturally into my workflow, reducing the manual burden without disrupting my clinical rhythm or patient attention."
Dr. Ana Karina Guerra
Radiologist
Featured Project:
The Clinical Documentation Crisis
Clinical documentation consumes 50% of physician time—not patient care. EMR systems optimized for billing compliance have created administrative burden, forcing doctors to spend evenings completing notes. This leads to burnout (primary factor per AMA), reduced patient face-time, and increased errors from rushed documentation.
System Architecture
Multi-channel audio capture (ambient microphones, headsets, telephony integration
Real-time transcription with speaker diarization (Doctor/Patient/Family identification)
Medical entity recognition using fine-tuned transformer models (BioBERT, ClinicalBERT)
Template-based note generation adapting to institutional formats (SOAP, H&P, Progress Notes)
Continuous learning loop: physician corrections → model fine-tuning → improved accuracy
Deployment Stack
Cloud infrastructure: AWS HIPAA-eligible services (S3, ECS, RDS with encryption)
HL7 v2.x and FHIR R4 interfaces for EMR connectivity
Medical NLP pipeline: Whisper (ASR) → spaCy (NER) → GPT-4 Medical (generation)
Quality gates: automated ICD-10/CPT validation, clinical logic checks, required field detection
Monitoring: Datadog for system health, custom dashboards for documentation velocity and physician adoption
“Clara fits naturally into my workflow, reducing the manual burden without disrupting my clinical rhythm or patient attention.”
— Dr. Ana Guerra, Radiologist.
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