Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52385, first published .
A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

Shahzad Mumtaz   1, 2, 3 , BSc, MCS, PhD ;   Megan McMinn   4 , BSc, MPH, PhD ;   Christian Cole   1, 2 , BSc, PhD ;   Chuang Gao   1, 2 , PhD ;   Christopher Hall   1 , BSc ;   Magalie Guignard-Duff   1 , BSc ;   Huayi Huang   4 , BSc, PhD ;   David A McAllister   5 , MD ;   Daniel R Morales   2 , BMSc, MBChB, PhD ;   Emily Jefferson   1, 2, 6 , BSc, PhD ;   Bruce Guthrie   4 , BChir, MB, MSc, PhD

1 Health Informatics Centre, School of Medicine, University of Dundee, Dundee, United Kingdom

2 Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom

3 School of Natural and Computing Sciences, University of Aberdeen, Aberdeen, United Kingdom

4 Advanced Care Research Centre, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom

5 School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom

6 Health Data Research UK, London, United Kingdom

Corresponding Author:

  • Emily Jefferson, BSc, PhD
  • Division of Population Health and Genomics
  • School of Medicine
  • University of Dundee
  • The Health Informatics Centre
  • Ninewells Hospital and Medical School
  • Dundee, DD2 1FD
  • United Kingdom
  • Phone: 44 01382383943
  • Email: e.r.jefferson@dundee.ac.uk