Augmedix offers an ambient AI platform that captures clinician‑patient conversations via a passive microphone array and converts them into structured, EHR‑ready notes using medical speech‑to‑text and NLP models. The solution integrates with major EHRs through FHIR and HL7‑v2 APIs, provides optional human review, and meets HITRUST‑certified, HIPAA‑compliant security standards for health systems and multi‑specialty clinics.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians spend a substantial portion of visit time manually documenting patient encounters, which reduces face‑to‑face interaction and contributes to burnout. Inconsistent or delayed charting also hampers data quality for downstream analytics and care coordination.
Solution
Augmedix delivers an ambient AI platform that passively captures clinician‑patient dialogue within the exam room and transforms it into structured, EHR‑ready notes. The system leverages domain‑adapted speech‑to‑text models combined with clinical NLP pipelines to extract diagnoses, procedures, medications, and assessment‑plan elements in real time. Generated drafts can be routed through optional human reviewers for validation or delivered directly to the provider’s workflow, supporting a spectrum from self‑service to fully managed documentation. Specialty‑specific fine‑tuning (e.g., emergency medicine, oncology) ensures high accuracy even in noisy environments and complex terminology. All data are encrypted in transit and at rest, with HITRUST‑certified, HIPAA‑compliant cloud infrastructure, enabling secure integration with existing EHRs via standard FHIR APIs. The platform’s analytics dashboard provides usage metrics and documentation quality scores, helping organizations monitor efficiency gains and compliance.
Target Audience
The primary customers are health systems, hospital networks, and multi‑specialty clinics seeking to offload documentation workload while maintaining data integrity and regulatory compliance.
Features
- Passive, omnidirectional microphone array that captures conversation without interrupting clinical flow
- Real‑time speech recognition optimized for medical vocabularies, achieving >95% word‑error rate reduction in specialty contexts
- Clinical NLP engine that auto‑populates structured note sections (HPI, ROS, assessment, plan) and maps to SNOMED‑CT and ICD‑10 codes
- Configurable automation tiers: pure AI draft, AI + human review, or fully outsourced documentation service
- Seamless EHR integration via FHIR‑compatible APIs and HL7‑v2 adapters for major vendor systems
- Enterprise‑grade security: end‑to‑end TLS encryption, role‑based access control, and HITRUST‑validated cloud environment
- Specialty‑tuned language models for emergency, oncology, primary care, and other high‑volume domains
- Operational dashboard with latency monitoring, note completeness metrics, and compliance reporting