HIPAA-Compliant Clinical Documentation Assistant
A US healthtech SaaS serving 800+ independent physician practices faced client attrition as competitors launched AI-assisted features. Their physicians were spending 40% of their day on manual note-writing (SOAP notes, discharge summaries), significantly impacting patient care and revenue.
Developed a fully on-premise clinical documentation assistant that transcribes and structures physician-patient interactions into medical notes within the client's secure VPC.
Optimized Mistral 7B on de-identified clinical notes and ICD-10/CPT coding guidelines to ensure medical accuracy and structured output consistency.
Fine-tuned OpenAI's Whisper for medical terminology and ambient clinical environments, ensuring high-accuracy transcription in noisy exam rooms.
Built secure connectors to Epic and Athenahealth to pull patient context for note generation and push finalized notes back into the EHR.
Utilized TensorRT for model quantization and high-speed inference, allowing the system to run efficiently on the client's private cloud GPUs.
Average time spent per patient note
Notes accepted by physicians with zero or minor edits
Precision in automated ICD-10 and CPT code suggestions
Passed third-party HIPAA audit with zero PHI leakage
A completely isolated AI stack where no voice data or clinical text ever leaves the physician's secure environment.
Specialized denoising and speaker diarization to separate physician instructions from patient responses.
The LLM uses existing EHR patient history to provide context-aware summaries that go beyond simple transcription.
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