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.
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
Through detailed monitoring and real-time metrics, Nabla ensures its systems deliver consistent quality while providing organizations with tools for clear oversight.
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.
