This paper is in the following e-collection/theme issue:

Clinical Informatics (1022) Standards and Interoperability (74)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31825, first published .
Modeling Data Journeys to Inform the Digital Transformation of Kidney Transplant Services: Observational Study

Modeling Data Journeys to Inform the Digital Transformation of Kidney Transplant Services: Observational Study

Modeling Data Journeys to Inform the Digital Transformation of Kidney Transplant Services: Observational Study

Authors of this article:

Videha Sharma1, 2 Author Orcid Image ;   Iliada Eleftheriou1 Author Orcid Image ;   Sabine N van der Veer1 Author Orcid Image ;   Andrew Brass1 Author Orcid Image ;   Titus Augustine2, 3 Author Orcid Image ;   John Ainsworth1 Author Orcid Image
Article Authors Cited by (2) Tweetations (10) Metrics

Videha Sharma   1, 2 , BMBS, BMedSci ;   Iliada Eleftheriou   1 , PhD ;   Sabine N van der Veer   1 , PhD ;   Andrew Brass   1 , PhD ;   Titus Augustine   2, 3 , MBBS, MS ;   John Ainsworth   1 , PhD

1 Centre for Health Informatics, Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, United Kingdom

2 Department of Renal and Pancreatic Transplantation, Manchester University National Health Service Foundation Trust, Manchester, United Kingdom

3 Division of Diabetes, Endocrinology and Gastroenterology, The University of Manchester, Manchester, United Kingdom

Corresponding Author:

  • Videha Sharma, BMBS, BMedSci
  • Centre for Health Informatics
  • Division of Informatics, Imaging and Data Science
  • The University of Manchester
  • Vaughan House
  • Portsmouth Street
  • Manchester, M13 9GV
  • United Kingdom
  • Phone: 44 7735360958
  • Email: videha.sharma@postgrad.manchester.ac.uk