Blog

The Nabla engineering team discusses machine learning, software, UX, and healthcare infrastructure.
Building a culture of clinician well-being: strategies, technology, and leadership that work

Exploring strategies and tools to enhance clinician well-being, featuring insights from industry leaders.

Ed Lee
Championing clinician wellbeing: how health systems can lead the change

How health systems can lead the change in clinician well-being through systemic reforms and advocacy.

Kenza Bouzoubaa
Introducing Nabla Dictation: the next step toward seamless AI assistance

By bridging Dictation and Ambient technology, Nabla is reimagining how AI can seamlessly support clinicians.

Alexandre Lebrun
Maximizing AI in healthcare: insights from industry leaders at Nabla's Becker's Hospital Review webinar

Insights from top CMIOs on how ambient AI reduces documentation burden, enhances patient care, and boosts clinician satisfaction.

Kenza Bouzoubaa
Assessing the reliability of Nabla’s speech-to-text engine

How Nabla improves over Whisper by being robust to specific hallucinations discovered in a recent study.

Martin Raison
How Nabla uses Whisper

An overview of how Nabla builds on Whisper speech-to-text models to help clinicians create more precise and accurate medical notes.

Martin Raison
knownwell leverages Nabla's athenahealth integration to enhance patient care

knownwell leverages Nabla’s integration with athenahealth to streamline clinical documentation and enable more personalized patient interactions in weight management care.

Charlie Marchal
Successfully piloting ambient AI for clinical documentation

We've identified the 7 key actions taken by the organizations who successfully piloted and rolled out Nabla.

Christina Schaupp
Generative AI in the EHR

The case of the Nabla - NextGen® Mobile integration

Kenza Bouzoubaa
From discovery to organization-wide deployment

We interview Mankato Clinic’s CMO, Dr Andrew Lundquist, to learn more about what their journey has been with ambient AI implementation.

Margaux Benoit
Announcing Our $24M Series B Funding Round

We are thrilled to announce we’ve raised $24M in Series B funding. Fresh off the launch of Nabla just this past March, this is a major milestone for our company, and a signal to the market that AI is truly capable of helping solve the major challenges healthcare systems face everywhere in the world.

Alexandre Lebrun
AI in Healthcare: The Explainability Dilemma

On December 18 2023, Eric Topol and Yann LeCun joined Alexandre Lebrun, CEO of Nabla, for a live discussion on the AI explainability dilemma in healthcare. This post is a summary of their conversation.

Julie Cassan
Happy healing time

Dr. Myrdalis Díaz-Ramírez discusses physician burnout symptoms, shares advice on how to reignite joy in medicine, and more

Kenza Bouzoubaa
Evaluating medical note generation

How at Nabla we put a number on the quality of our medical notes

Ruben Stern
AI medical scribes

Everything you need to know about us and our fellow AI scribes

Delphine Groll
How we built the best speech-to-text engine for medical encounters

Training machines to decipher medical jargon is no picnic. But we did it – and here's how.

Ruben Stern
10 ways clinicians use an AI medical scribe

10 Clinicians Reveal the Impact of Nabla, an AI medical scribe, on their practice

Clément Baudelaire
All you need to know about Nabla's privacy and security features

We break down every privacy and security feature of Nabla for you.

Clément Baudelaire
No, you don’t necessarily need to see your patients in person to provide great care

My experience as a doctor providing better care through asynchronous medicine.

Marie-Laure Bry
Can large fine-tuned language models imitate doctors?

Cedille is a huge language model for French. It's able to understand and write text. In this experiment we will try to make it "understand" questions from patients and generate a doctors' answer.

Maxime Lewandowski
Doctor GPT-3

Our unique multidisciplinary team of doctors and machine learning engineers at Nabla had the chance to test this new model to tease apart what’s real and what’s hype in terms of different healthcare use cases.

Kevin Riera