Accessibility settings

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

Advanced Data Analytics in eHealth (386) New Methods (1884) Health Information Exchange (242) eHealth Infrastructures (511) AI Governance and Policy (84)

Published on in Vol 14 (2026)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89685, first published .
Doctor in video call with digital representation of a healthcare network

Admission Mechanisms for Scalable Federated Health Data Collaboration: Design and Proof-of-Concept Study

Admission Mechanisms for Scalable Federated Health Data Collaboration: Design and Proof-of-Concept Study

Authors of this article:

Enzo Fenoglio1 Author Orcid Image ;   Marzena Nieroda2 Author Orcid Image ;   Graca Carvalho3 Author Orcid Image ;   Malgorzata Smietanka4 Author Orcid Image ;   Dimitrios Kalogeropoulos5 Author Orcid Image ;   Philip Treleaven1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Enzo Fenoglio   1 , MSEE ;   Marzena Nieroda   2 , PhD ;   Graca Carvalho   3 , MSc ;   Malgorzata Smietanka   4 , PhD ;   Dimitrios Kalogeropoulos   5 , PhD ;   Philip Treleaven   1 , PhD

1 UCL Computer Science, University College London, London, England, United Kingdom

2 UCL Global Business School for Health, University College London, London, England, United Kingdom

3 Departamento de Informatica, Universidade do Minho, Braga, Portugal

4 Actuari, London, England, United Kingdom

5 Global Health and Digital Innovation Foundation, London, England, United Kingdom

Corresponding Author:

  • Marzena Nieroda, PhD
  • UCL Global Business School for Health
  • University College London
  • Marshgate Building, 7 Sidings Street
  • London, England E20 2AE
  • United Kingdom
  • Phone: 44 07739873221
  • Email: m.nieroda@ucl.ac.uk