Benjamin Vittrant

@benjamin_vittrant
4 Followers
39 Following
22 Posts
Health - Tech - Research - Mathematics - Real life measurements - Digital biomarkers
ORCIDhttps://orcid.org/0000-0001-5578-7283
Linkedinhttps://www.linkedin.com/in/benjamin-vittrant-b6a75020/
CompagnyWithings ( 2021 - to date)
PositionSenior Medical Scientist

See you at #HIMSS25Europe in Paris! I’m honored to join this year’s lineup of speakers to share insights on 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗲𝗹𝗲𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗶𝗻 𝗙𝗿𝗮𝗻𝗰𝗲 during the "Virtual Care Masterclass: Hospital at Home, Prevention and Patient Centricity"

📅 Tuesday, June 10, 2025
🕞 15:30 - 17:30
📍 ROOM 151

"Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape"

Fruit d’un travail mené depuis 2022 dans le cadre de la European Taskforce for Harmonised Evaluations of Digital Medical Devices (DMDs) dont l’objectif est de travailler à harmoniser l’évaluation des dispositifs médicaux numériques (DMN) en UE.

Vincent Vercamer

https://www.nature.com/articles/s41746-025-01697-w

Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape - npj Digital Medicine

A uniform and harmonised taxonomy of Digital Medical Devices (DMDs) and their evidence-based evaluation are essential to ensure their integration into healthcare systems across the European Union (EU). As part of the Taskforce for Harmonised Evaluation of DMDs, a Common European Classification Grid for DMDs (CEUGrid-DMD) associated with an Evidence Matrix is developed. These tools are based on the mapping of existing frameworks, a survey of Health Technology Assessment (HTA) practices, consensus meetings and workshop. The survey was sent to 32 national representatives of HTA bodies from 18 EU countries. Ten HTA bodies from nine countries completed the survey while others could not, in the absence of the effective implementation of a DMD evaluation framework. This work results in the CEUGrid-DMD including four taxonomy categories, associated with an evidence-based matrix. Overall, this first version should help to converge scientific assessments of DMDs in the context of HTA Regulations across the EU.

Nature
What Adolescence gets right about growing up online — and how we can change it | Proton

Adolescence shows how platforms shape kids in harmful ways. Here's why transparent, open digital education must lead the change.

Proton
Your family photos are training AI, and here’s how to stop it | Proton

Learn how Big Tech uses family photos to train AI, how it affects you, and how to protect your privacy to keep your memories out of datasets.

Proton
“Voice is the New Blood”: a discourse analysis of voice AI health-tech start-up websites https://www.frontiersin.org/articles/10.3389/fdgth.2025.1568159
Frontiers | “Voice is the New Blood”: a discourse analysis of voice AI health-tech start-up websites

IntroductionVoice as a biomarker has emerged as a transformative field in health technology, providing non-invasive, accessible, and cost-effective methods f...

Frontiers
@Vivaldi any plan to have a native zotero integration ?
@capacities any plan to create a connector for @zotero ?

"Brèves, concrètes et efficaces, les thérapies comportementales et cognitives ou TCC permettent de traiter un large éventail de souffrances : phobie, anxiété, dépression, insomnie, douleurs chroniques, etc. Bienvenue dans des séances de psychothérapie sans divan.​"

https://www.quechoisir.org/conseils-therapies-comportementales-et-cognitives-tcc-ces-psychotherapies-qui-changent-la-vie-n167152/?utm_medium=email&utm_source=nlh&utm_campaign=nlh20250529&at_medium=email&at_emailtype=retention&at_campaign=nlh20250529

Thérapies comportementales et cognitives (TCC) - Ces psychothérapies qui changent la vie - Conseils

Brèves, concrètes et efficaces, les thérapies comportementales et cognitives ou TCC permettent de traiter un large éventail de souffrances : phobie, anxiété, dépression, insomnie, douleurs chroniques, etc. Bienvenue dans des séances de psychothérapie sans divan.​

UFC-Que Choisir

Innovative Digital Cognitive Behavioral Treatment for Insomnia Disorder in Adults (dCBT-i): Framework Development

https://humanfactors.jmir.org/2025/1/e70193

Innovative Digital Cognitive Behavioral Treatment for Insomnia Disorder in Adults (dCBT-i): Framework Development

Background: Chronic insomnia, or insomnia disorder, is a major health issue with a prevalence of up to 15%. The recommended first-line treatment is cognitive behavioral therapy for insomnia (CBT-i), which, unfortunately, remains insufficiently accessible. Digitalization has the potential to reduce health care access inequalities by offering more flexible and accessible care options. Digital CBT-i (dCBT-i) has been shown to be as effective as in-person CBT-i, highlighting its potential for broader implementation. Objective: This study aimed to develop an evidence-based dCBT-i program grounded in theoretical and clinical knowledge, designed for efficient integration into health care systems, and to establish it as the first prescribed digital treatment in France. Methods: The program was constructed based on validated CBT-i theory and practice, incorporating the latest scientific data on CBT for insomnia. It was designed as a robust multicomponent therapy, integrating an initial standardized assessment and daily intelligent adaptation to enable digital phenotyping and provide personalized treatment. Results: We developed an innovative digital solution that combines scientific rigor with practical application. The program includes a standardized initial evaluation and dynamic personalization through intelligent algorithms. These features allow for the adaptation of therapy based on patient progress and needs, ensuring individualized care. Conclusions: The development of this dCBT-i program represents a significant milestone in digital health care, offering a scalable solution to the accessibility challenges of traditional CBT-i. Future steps involve conducting clinical studies to further evaluate its effectiveness and optimize its implementation within health care systems.

JMIR Human Factors