Augmedix Unlocks Time for Patient Care: The AI Scribe Solution Every Executive Should Know

Feature Categories
What is Augmedix?
Augmedix leverages ambient AI technology to transform clinician-patient conversations into structured, accurate, and comprehensive medical notes. By integrating real-time transcription with natural language processing, Augmedix enables clinicians to focus more on patient care and less on documentation. The platform offers various tiers, including:
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Augmedix Go: A self-service, AI-driven scribe that drafts high-quality notes, allowing clinicians to handle their own editing, coding, orders, referrals, and other post-visit EHR tasks.
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Augmedix Assist: Includes all features of Go, plus additional support with editing AI-drafted notes, coding, orders, AVS, data entry, referral letters, and more. Notes are ready for sign-off within 1 hour.
Augmedix’s solutions are tailored to different needs and budgets, aiming to enhance clinician-patient interactions by reducing administrative burdens.
Why Leading Healthcare Teams Trust Augmedix
- HITRUST certified and HIPAA compliant with enterprise-grade security standards
- Trusted by HCA Healthcare, the nation’s largest hospital chain, for broader ER rollout
- Raised over $107 million in total funding since founding in 2013
- Successfully went public through reverse merger with Malo Holdings in 2020
- Completed $40 million IPO debut on NASDAQ in 2021
- Acquired by Commure in October 2024 for $139 million
- Stockholders received $2.35 per share in cash upon completion of acquisition
- Previously traded on NASDAQ before delisting following Commure merger
- Emphasizes minimal disruption to existing clinical workflows
- Claims to save clinicians 2-3 hours per day and increase productivity by up to 20%
- Offers multiple AI-driven documentation solutions tailored to diverse clinical needs
- Founded in 2013 and originally utilised Google Glass technology for medical scribing
Features
Top 3 Pain Points Augmedix Fixes in Healthcare
Problem | How Augmedix Solves It |
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1. Clinician Documentation Burden | Uses AI and human-assisted scribes to automatically capture clinical encounters, reducing time spent on notes. |
2. EHR Inefficiencies & Data Gaps | Integrates directly with major EHRs to ensure accurate, structured, and complete patient records. |
3. Lost Revenue from Coding Errors | Provides coding and billing support, helping capture all billable encounters and optimize revenue cycle. |
Feature Category Summary: Augmedix
Feature Category | Summary |
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Regulatory-Ready | Complies with healthcare regulations; no FDA clearance required as it is not a medical device. |
Clinical Trial Support | Supports clinical trial documentation and reporting, not trial design or recruitment. |
Supply Chain & Quality | Not applicable. |
Efficiency & Cost-Saving | Automates documentation to reduce clinician burden and improve workflow efficiency. |
Scalable / Enterprise-Grade | SaaS solution deployed in large healthcare systems with strong compliance. |
HIPAA Compliant | Fully HIPAA compliant for patient data privacy and security. |
Clinically Validated | Clinically validated for documentation accuracy and workflow improvements. |
EHR Integration | Integrates with major EHR systems to facilitate clinical documentation. |
Explainable AI | Provides transparency through clinician review and control of AI-generated notes. |
Real-Time Analytics | Real-time documentation generation; broader analytics not provided. |
Quick Risks & Limitations: Augmedix
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Privacy & consent: ambient audio capture and transcription require robust consent workflows, local policy alignment, and secure data handling.
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Speciality variability: documentation complexity varies—procedural specialities with heavy operative detail may need tailored scribe workflows and higher human oversight.
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Workflow dependency: realised benefits depend on scheduling discipline (consistent encounter cadence) and clinician willingness to adopt ambient workflows.
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Cost sensitivity: the hybrid human model carries a higher per-encounter cost than pure-AI alternatives—procurement should model trade-offs between accuracy, clinician time saved, and recurring service fees.
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