| Title: |
Building AI-ready health systems: the AULSS6 (Padua, Italy) local health authority artificial intelligence implementation strategy |
| Authors: |
Giordani, Carlo; Di Pumpo, Marcello; Senarigo, Fabio; Zambon, Chiara; Valli, Maddalena; Sbrogiò, Luca Gino; Milano, Nadia; Gusella, Giulia; Zampieri, Tullio; Allegro, Francesco; Bovo, Chiara; Biasi, Laura; Toffanello, Elena Debora; Viena, Pietro; Vinelli, Angela; Visonà, Susanna; Barbiero, Michela; Fortuna, Paolo |
| Source: |
Annali dell'Istituto Superiore di Sanità; Vol. 62 No. 1 (2026); 87-90 ; 2384-8553 ; 0021-2571 |
| Publisher Information: |
Annali dell'Istituto Superiore di Sanità |
| Publication Year: |
2026 |
| Collection: |
Annali dell'Istituto Superiore di Sanità |
| Subject Terms: |
artificial intelligence; implementation strategy; local health autority; governance; ethics; health service researc |
| Description: |
Objectives. To present the strategy developed by the Local Health Authority AULSS6, Padua Province, Italy, for implementing artificial intelligence (AI) in healthcare systems.Methods. Between December 2024 and December 2025, a series of structured meetings of a multidisciplinary Steering Committee were conducted. Ideas, priorities and initiatives were systematically collected, categorized, and refined through consensus.Results. The strategy produced several outcomes: an AI ethics and readiness checklist ensuring compliance with the EU AI Act, GDPR, (EU General Data Protection Regulation) and cybersecurity requirements; multi-level education programs for staff; systematictechnology evaluation guidelines and HTA (Health Technology Assessment) evaluation studies planning; active participation in projects on AI for public health and clinical outcomes prediction and resource optimization; communication strategies designed to enhance transparency and trust. Collectively, these initiatives enabled AULSS6 to build institutional capacity for responsible AI adoption at the local level.Conclusions. AULSS6 shows that local health authorities can lead responsible AI implementation in healthcare. Its multidimensional approach close to the population offers a replicable, scalable model for health systems across Italy and Europe, advancing digitaltransformation through a bottom-up strategy close to the communities served. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://annali.iss.it/index.php/anna/article/view/1889/1162; https://annali.iss.it/index.php/anna/article/view/1889 |
| DOI: |
10.4415/ANN_26_01_11 |
| Availability: |
https://annali.iss.it/index.php/anna/article/view/1889; https://doi.org/10.4415/ANN_26_01_11 |
| Rights: |
Copyright (c) 2026 Istituto Superiore di Sanità ; http://creativecommons.org/licenses/by-nc-nd/4.0 |
| Accession Number: |
edsbas.5A2F59E7 |
| Database: |
BASE |