Published on in Vol 13 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58125, first published .
A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

Kayode Philip Fadahunsi   1 , PhD ;   Petra A Wark   1, 2 , PhD ;   Nikolaos Mastellos   1 , PhD ;   Ana Luisa Neves   1 , PhD ;   Joseph Gallagher   1, 3 , MD ;   Azeem Majeed   1 , MD ;   Josip Car   1, 4 , PhD

1 Department of Primary Care and Public Health, Imperial College London, London, United Kingdom

2 Centre for Healthcare and Communities, Coventry University, Coventry, United Kingdom

3 Global Health Research Group, School of Medicine, University College Dublin, Dublin, Ireland

4 School of Life Course and Population Sciences, King’s College London, London, United Kingdom

Corresponding Author:

  • Kayode Philip Fadahunsi, PhD
  • Department of Primary Care and Public Health
  • Imperial College London
  • White City Campus, 80–92 Wood Lane
  • London W12 0BZ
  • United Kingdom
  • Phone: +44 02075943368
  • Email: K.fadahunsi14@imperial.ac.uk