Meet the expert: Remote Data Collection Platform

Multi-device studies, without the vendor lock-in

Researchers and healthcare professionals conducting wearable and sensor studies at UMCs, hospitals and universities keep running into the same obstacle: every wearable comes with its own platform, and there is no central, secure place to bring that data together. That fragmentation drives up operational complexity and quietly locks studies into a single vendor's ecosystem.

The Remote Data Collection Platform is TNO's answer: a flexible, certified , device-agnostic infrastructure for data collection in studies and pilots with wearables and multiple data streams. It's not just a tool: it comes together with the broader expertise of TNO's Digital Biomarker Lab, from device selection to clinical validation and digital biomarker development.

During this session, we'll discuss:

• What the Remote Data Collection Platform is, and where it fits within TNO's Digital Biomarker Lab
• How the platform connects medical-grade, consumer (including Bring-Your-Own-Device set-up) and custom wearables in a single secure environment
• The platform's core strengths: device-agnostic integrations, a certified and trustworthy infrastructure (ISO 27001, NEN 7510, ISO 13485), and a flexible, modular set-up that scales from small pilots to multi-centre trials
• A live look at the researcher dashboard and the participant application
• Real examples of studies that have used the platform, across different disease areas and study types

Format

A short presentation followed by a live demo of the platform, with plenty of room for questions and discussion throughout.

Who is this session for?

Primarily intended for clinicians, researchers, principal investigators and research leads at UMCs, hospitals and universities who are conducting, or considering, studies with wearables sensors, and questionaires, and are looking for a certified solution to collect integrate and manage data.

Also relevant for innovation and digital health professionals at pharma and medtech organisations exploring device-agnostic data collection for research.