Nabla
Overview
Nabla is an ambient AI assistant designed to alleviate the administrative burden on clinicians by automating clinical documentation. It leverages proprietary Large Language Models (LLMs) and Speech-to-Text (STT) technologies to transcribe patient encounters in real-time and instantly generate structured, high-quality clinical notes. The platform aims to reduce clinician burnout, improve documentation accuracy, and enhance patient engagement by allowing providers to focus more on care rather than administrative tasks. Nabla integrates seamlessly with major Electronic Health Record (EHR) systems and offers extensive customization options for various medical specialties and note-taking styles. Beyond basic note-taking, Nabla is evolving into an Adaptive Agentic Platform, providing support for medical coding, proactive EHR actions, and broader clinical workflow assistance.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated Clinical Note Generation (real-time)
- Seamless EHR Integration (Epic, Oracle Cerner, athenahealth, Greenway Health, Canvas Medical, etc.)
- Multi-language Support (35+ languages, including regional dialects)
- Ambient AI for capturing and synthesizing consultation details
- Medical Coding Identification (ICD, CPT, HCC, MCC suggestions)
- Customizable Note Templates and Workflows (55+ specialties)
- Dictation capabilities with voice shortcuts
- Data Privacy Prioritized (zero audio retention, no training on client data, encrypted data)
- Proactive EHR Actions and Clinical Suggestions
- Web app, iOS app, Android app, and Chrome extension availability
Use Cases
- Automating clinical documentation during patient encounters
- Reducing administrative burden and clinician burnout
- Improving accuracy and quality of medical notes
- Streamlining medical coding and billing workflows
- Enhancing patient-provider communication and engagement
- Supporting documentation in various care settings (in-person, telehealth, asynchronous)
What Physicians Need to Know
Nabla can significantly reduce documentation time by at least 2 hours per day, helping to alleviate burnout and allowing more focus on direct patient care. Physicians should leverage the extensive customization options for note templates and the 'Magic Edit' feature to align notes with their individual preferences and writing styles. Utilizing the real-time transcription and note generation can enhance patient engagement during visits. The proactive coding suggestions for ICD and CPT codes can streamline billing and ensure compliance. Nabla's privacy-by-design approach, where audio and patient data are not stored on its servers, offers an added layer of data security.
Nabla boasts broad EHR compatibility, integrating with over 20 major systems including Epic, Cerner, athenahealth, NextGen, Greenway, Altera, and eClinicalWorks. Its 'Nabla Connect' module allows any EHR vendor to quickly embed ambient AI capabilities, often within days. These integrations facilitate structured note export directly into EHR fields, flowsheets, and clinical templates, ensuring a seamless workflow. Nabla also supports telehealth and mobile access, including integration with Epic's Haiku.
Details
| Category | Documentation & Scribing |
| Pricing |
Freemium
|
| Deployment | Cloud-based (Google Cloud Platform, Microsoft Azure), Web app, Chrome extension |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | No AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
What the Web Says
Nabla is generally well-received, particularly for its AI assistant for physicians, which aims to reduce administrative burden and improve patient care. Reviewers highlight its ability to generate clinical notes and summaries efficiently, though some express concerns about data privacy and the potential for AI to miss nuances in patient interactions.
Overall: PositiveStrengths
- Reduces administrative burden for physicians
- Efficient generation of clinical notes and summaries
- Improves physician-patient interaction by freeing up time
- User-friendly interface
- Potential for improved patient care outcomes
- Positive impact on physician burnout
Limitations
- Data privacy and security concerns
- Potential for AI to miss subtle patient cues or complex medical situations
- Reliance on technology may impact traditional diagnostic skills
- Integration challenges with existing EHR systems
- Cost of implementation and ongoing subscriptions
- Accuracy of AI-generated content needs continuous verification
Based on reviews from: Reddit, G2, Capterra, Healthcare IT News, TechCrunch, Physician blogs and forums
Last updated: 2026-07-18
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