Nabla

Nabla is an AI-powered health assistant that automates documentation, medical coding, and workflows, helping healthcare professionals save time and focus more on patient care.

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What is Nabla?

  • Founders: Alexandre LeBrun, Delphine Groll, Martin Raison
  • Launch: 2018
  • Use Cases: Clinical documentation, medical coding, EHR integration, pre-charting, workflow automation
  • Technology: Proprietary large language models (LLMs), speech-to-text (STT), AI-powered workflow assistants

Nabla is an AI-powered health platform created to lighten the administrative burden on clinical healthcare providers. Former Meta AI engineers founded Nabla in 2018, with a focus on automating clinical documentation, medical coding, and workflow tasks. Nabla's AI models are built to recognize and understand intricate medical vernacular, as well as medical context, to document tasks both accurately and compliantly.

The platform integrates effortlessly with industry-leading EHR platforms such as Epic, Athenahealth, and Oracle; Nabla can accommodate numerous specialties within clinical practice. Nabla saves clinicians time and reduces burnout and the amount of time spent away from clinical care by automating clinical note-taking and coding. Additionally, Nabla provides configurations for healthcare organizations to allow tailored workflows for clinical reasons. Nabla is experiencing rapid organizational expansion, totaling over 85,000 clinicians in over 130 organizations, and has proved to enhance efficiency, accuracy, and overall attainment of satisfaction of healthcare teams.

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Frequently Asked Questions

Nabla is an AI assistant that automates clinical documentation, coding, and workflow tasks, integrating seamlessly with EHR systems.

Nabla was founded by Alexandre LeBrun, Delphine Groll, and Martin Raison in 2018.

Nabla integrates with Epic, Athenahealth, Oracle, and other major EHR platforms.

By automating note-taking and coding, Nabla reduces administrative tasks, freeing clinicians to focus on patient care.

Nabla aims to expand AI capabilities for proactive coding, pre-charting, and inpatient workflow automation.
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