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

Artificial Intelligence (4956) Adoption and Change Management of eHealth Systems (1150) Knowledge Translation and Implementation Science (810) Theoretical Frameworks and Concepts (580) Co-Design & Participatory Design (368) Ethical, Legal, and Social Issues in AI (217)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87984, first published .
Two scientists discuss AI and data with a glowing brain graphic.

Integrating Participatory Social Innovation Into Requirements Engineering for AI Health Care Solutions: Case Study

Integrating Participatory Social Innovation Into Requirements Engineering for AI Health Care Solutions: Case Study

Authors of this article:

Carina Dantas1, 2 Author Orcid Image ;   Miriam Cabrita1 Author Orcid Image ;   Maciej Bobowicz3 Author Orcid Image ;   Harm op den Akker1 Author Orcid Image ;   Xavier Rafael-Palou4 Author Orcid Image ;   Tuukka Hakkarainen5 Author Orcid Image ;   Ira Haavisto5 Author Orcid Image ;   Fredrik Strand6 Author Orcid Image ;   Luis Marti-Bonmati7 Author Orcid Image ;   Eugen Divjak8 Author Orcid Image ;   Gordana Ivanac8 Author Orcid Image ;   Smriti Joshi9 Author Orcid Image ;   Richard Osuala9 Author Orcid Image ;   Stefanie Charalambous10 Author Orcid Image ;   Apostolia Tsirikoglou6 Author Orcid Image ;   Gloria Ribas7 Author Orcid Image ;   Oliver Díaz9 Author Orcid Image ;   Ana Sofia Carvalho2 Author Orcid Image ;   Elísio Costa11 Author Orcid Image
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Journals

  1. Mu J, Li C, Kang T, Dong C, Chen C, Ou B, Liang H, Zhang N. Facilitators and barriers to implementing AI-assisted diagnostic systems in primary healthcare services in low-resource settings: a mixed-methods study protocol. Frontiers in Digital Health 2026;8 View