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

AI Language Models in Health Care (790) Clinical Informatics (2352) Clinical Information and Decision Making (3824) Theoretical Frameworks and Concepts (574) Natural Language Processing (1317) Decision Support for Health Professionals (2296) Nursing (163) Generative Language Models Including ChatGPT (1592)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90854, first published .
Two nurses in blue scrubs reviewing patient data on a tablet and computer.

Cloud-Based and Locally Deployed Language Models in Nursing and Health Care: An AI Act–Aligned Framework

Cloud-Based and Locally Deployed Language Models in Nursing and Health Care: An AI Act–Aligned Framework

Authors of this article:

Elena Sblendorio1, 2 Author Orcid Image ;   Vincenzo Dentamaro3 Author Orcid Image ;   Maddalena De Maria4 Author Orcid Image ;   Salvatore Tempesta1 Author Orcid Image ;   Elena Barile1 Author Orcid Image ;   Daniele Napolitano5 Author Orcid Image ;   Martina Tallini6 Author Orcid Image ;   Daniela Nigrelli1 Author Orcid Image ;   Giancarlo Cicolini7 Author Orcid Image ;   Michela Piredda8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elena Sblendorio   1, 2 , PhD ;   Vincenzo Dentamaro   3 , PhD ;   Maddalena De Maria   4 , Prof Dr ;   Salvatore Tempesta   1 , MS ;   Elena Barile   1 , MS ;   Daniele Napolitano   5 , PhD ;   Martina Tallini   6 , MS ;   Daniela Nigrelli   1 , PhD ;   Giancarlo Cicolini   7 , Prof Dr ;   Michela Piredda   8 , Prof Dr

1 Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Rome, Lazio, Italy

2 Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Apulia, Italy

3 Department of Computer Science, University of Bari Aldo Moro, Bari, Apulia, Italy

4 Department of Life Health Sciences and Health Professions, Link Campus University, Rome, Lazio, Italy

5 SITRA - Direzione Scientifica - Fondazione Policlinico Gemelli IRCCS, Rome, Lazio, Italy

6 Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Rome, Lazio, Italy

7 Department of Innovative Technologies in Medicine & Dentistry, “G. d'Annunzio” University of Chieti, Abruzzo, Italy

8 Department of Medicine and Surgery Research, Research Unit Nursing Science, Università Campus Bio-Medico di Roma, Rome, Lazio, Italy

Corresponding Author:

  • Michela Piredda, Prof Dr
  • Department of Medicine and Surgery Research
  • Research Unit Nursing Science, Università Campus Bio-Medico di Roma
  • Via Alvaro del Portillo, 21
  • Rome, Lazio 00128
  • Italy
  • Phone: 39 06225418833
  • Email: m.piredda@unicampus.it