Raising the bar for AI-powered clinical documentation

Last updated: January 13, 2025

A deep dive into Nabla’s evaluation methods, showcasing best practices in AI-driven documentation with a focus on accuracy, adaptability, and transparency.

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Written by

Samuel Humeau

Lead Machine Learning Engineer

A Robust Evaluation Framework

Our team has spent 3 years refining our AI-powered clinical note generation engine, establishing Nabla as a leading ambient AI assistant.

Discover how our evaluation framework sets new standards for reliable AI-generated clinical notes.

Delivering specialized capabilities

With advanced speech-to-text, customizable note generation, and ICD-10 coding, Nabla remains committed to supporting clinicians with reliable and adaptable solutions.

Ensuring rigorous evaluation and safe rollout

Nabla commits to thorough testing of each system update, combining automated evaluations with expert reviews to ensure accurate, reliable AI-generated notes, introduced progressively and safely.

Prioritizing clinician’s feedback

Nabla actively incorporates clinicians feedback to continually refine and improve its systems.

Maintaining transparency and quality

Nabla actively incorporates clinicians feedback to continually refine and improve its systems.

Committed to alleviating clinician burnout

Nabla is dedicated to reducing the burden of clinical documentation, supporting clinician well-being and enhancing patient care.

Advancing reliable AI-powered clinical documentation

At Nabla, we are committed to transparent and rigorous evaluation processes to ensure our ambient AI assistant meets the highest standards. Discover how we set the benchmark for reliability and adaptability through meticulous evaluation, progressive rollouts, and clinician feedback.
Download the whitepaper