CureMD AI Medical Scribe

AI-powered ambient medical scribe integrated into CureMD's EHR platform. Listens to patient-provider conversations in real time and automatically generates structured SOAP notes, applies ICD-10, CPT, and RxNorm codes, queues lab and pharmacy orders, and captures follow-up scheduling — all without any manual data entry from the physician.

Physicians were spending two or more hours after clinic completing documentation — a leading driver of provider burnout, coding inaccuracies, and delayed insurance reimbursements. Existing dictation tools required active physician input and still left medical coding, ordering, and scheduling as separate manual steps.

Engineered an ambient listening layer that captures the full patient-provider encounter passively, then processes it through a medically-trained LLM fine-tuned on clinical data. The system extracts structured clinical content, maps it to the correct ICD-10, CPT, and RxNorm codes, queues orders in real time, and delivers a review-ready SOAP note in under 15 seconds. Designed for specialty-specific adaptation with deep EHR integration and no third-party tools or copy-paste required.

Clinical documentation is one of the most persistent sources of physician burnout: providers spend roughly two hours on paperwork for every hour of direct patient care. CureMD's AI Medical Scribe was built to eliminate that ratio — not by making documentation faster to type, but by removing the typing entirely.

We built an ambient listening engine that activates at the start of a visit and operates passively in the background, capturing the full conversation between provider and patient. At visit end, the system generates a complete, structured SOAP note in under 15 seconds. The note arrives pre-populated with ICD-10 diagnosis codes, CPT procedure codes, and RxNorm drug references — accurate, compliant, and ready for physician review and signature.

The automated ordering pipeline was one of the technically complex components of the build. As the physician speaks — referencing labs, imaging, or prescriptions — the scribe identifies each order in real time, queues it, and routes it automatically to the patient's preferred pharmacy, laboratory, or imaging centre the moment the note is signed. This removed an entire category of manual interaction that had previously required separate system actions.

The underlying model was trained on over one billion patient visits and adapts to each provider's documentation style and specialty preferences over time. It supports more than 30 medical and surgical specialties, accurately handles multi-party conversations including family members and care team contributors, and is fully HIPAA-compliant with end-to-end encryption, data minimisation, and comprehensive audit logging. Access is available on desktop, tablet, and via the Avalon mobile EHR app on iOS and Android.

• Ambient AI listening & transcription engine
• Automated SOAP note generation
• Auto-coding: ICD-10, CPT, RxNorm
• Real-time order routing (pharmacy, labs, imaging)
• Specialty-specific model adaptation
• Mobile & desktop EHR integration