Healthcare AI — Medical Scribe
40%+ reduction in documentation time with AI-driven medical scribe
The Problem
Clinicians spending excessive time on documentation. Telehealth visits generate extensive documentation requirements — visit notes, assessments, treatment plans, and follow-up items. Clinicians were spending a significant portion of their working hours on after-visit documentation rather than patient care, leading to burnout, reduced throughput, and delayed patient follow-ups.
Our Approach
We built an AI-driven medical scribe system powered by large language model integration. The system processes patient-clinician conversations in real time, extracting key clinical information and generating structured documentation — SOAP notes, visit summaries, and follow-up action items. The output is formatted for direct integration with the telehealth platform's existing EHR workflows, requiring only a quick clinician review before finalization.
Key Capabilities
LLM-Powered Scribe
AI-driven medical scribe system that listens to patient-clinician conversations and generates structured clinical notes in real time using large language model integration.
Structured Documentation
Automatically produces SOAP notes, visit summaries, and follow-up action items — formatted for direct EHR integration and clinician review.
40%+ Time Reduction
Clinicians spend over 40% less time on documentation, allowing them to focus more on patient care and see more patients per day.
Results
Reduction in documentation time
Clinical note generation
Patient workflows