Accelerate your digital health solution with DHVL’s two-day, in-person Evidence Generation Bootcamp on Monday 25th and Tuesday 26th of November.

This bootcamp is specifically designed to help healthcare innovators navigate their evidence generation pathway towards successful adoption. Through expert-led sessions, you will gain the essential tools and insights needed to effectively approach the complexities of evidence generation in the digital health landscape.

Each session will delve into a key aspect of evidence generation in healthcare, offering deep insights and practical guidance.

Agenda

Day 1

  • Digital Health Evaluation Overview: What to evaluate, why, and how.
  • Defining and Testing Value: Value propositions, intended use and claims to test.
  • Medical Device Regulation: Regulatory approval, common challenges and potential solutions.
  • Procurement: Market engagement, procurement strategy and key evidence touchpoints.
  • Patient and Public Involvement and Engagement (PPIE): from product design to clinical research design.

Day 2

  • Evidence requirements to determine and demonstrate value.
  • VC funding: what evidence do VCs look for?
  • Validating AI and data-driven solutions.
  • Evidence generation roadmaps: hands-on workshop to develop your roadmap.

Register for the event

First published: 21 October 2024

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Session Leaders

Professor David Lowe: Clinical Director of Innovation University of Glasgow and Digital Health Validation Lab and Clinical Lead Health Innovation CSO ScotGov

Elaine Gemmell: Head of Regulatory Affairs at InnoScot Health

Adriana Roemmele: Innovation and Improvement Lead - National Procurement. NHS National Services Scotland (NSS)

Professor Olivia Wu: William R Lindsay Chair of Health Economics and co-Director of Health Economics and Health Technology Assessment (HEHTA) at the University of Glasgow

Albert Nicholl: Experienced MedTech Non Executive Director

Professor Neil Hawkins: Professor in Health Technology Assessment (HTA) at the University of Glasgow and member of the National Institute of Health and Clinical Excellence Diagnostics Advisory Committee.