HEALTHCARE LAGGING BEHIND IN TECHNOLOGY

Italy's medical sector today faces a structural contradiction that risks undermining the credibility of any long-term innovation strategy. On one hand, our country boasts international leadership in biotechnological research: in centers of excellence, tumor proteomes are analyzed across thousands of molecular variables, and complex networks like the 97 biobanks of the BBMRI.it node are coordinated. On the other hand, this density of scientific knowledge struggles to translate into everyday clinical practice, clashing with a hospital reality still deeply rooted in analog logics.

This asymmetry is not just a technological delay but a true systemic fracture that undermines the foundation for adopting artificial intelligence (AI). As highlighted in the programmatic document from the Sbarro Health Research Organization (SHRO), it is impossible to build healthcare algorithms on fragile foundations. The numbers paint an alarming picture: 38% of hospital specialists still document clinical activities on paper or disconnected local systems, while only 2% of generated data is actually shared across different applications. The result is that 98% of clinical information assets end up buried in silent digital archives, often in non-machine-readable PDF form. In an era of multi-omic personalized medicine, we find ourselves in the absurd situation where a report issued by a center of excellence in Milan may be unreadable to a doctor in Rome.

This fragmentation is not a neutral phenomenon but an inefficiency with certain and quantifiable costs. Interregional healthcare mobility alone, driven by the need to repeat tests or physically transfer clinical documentation, costs the system between 2 and 4 billion euros per year. Looking ahead to the next decade, the absence of a unified data infrastructure could burden the state coffers by over 33 billion euros.

In contrast, the economic opportunity tied to true interoperability is enormous: the European Health Data Space (EHDS) estimates potential savings of 11 billion euros over ten years, stemming from better access to data for care and secondary research.

The project emphasizes that AI in healthcare should not be seen as a replacement technology but as a "Narrow" tool—specialized and context-dependent. Since an algorithm's effectiveness depends on the quality of its training data, local calibration based on specific epidemiology and environmental determinants is essential.

This need fundamentally transforms the role of healthcare professionals. Doctors and nurses are not destined to be "replaced" by automation but to become the qualified protagonists in this phase of clinical validation and fine-tuning of digital tools.

However, this transition requires compliance with now-imminent regulatory deadlines: from the AI literacy mandate (already in effect since February 2025) to full semantic interoperability by 2029. Italy's healthcare challenge is no longer just about budgets but about governance.

Editorial by Prof. Antonio Giordano on the challenge of Digital Healthcare in Italy, stemming from the discussion at the forum featuring Prof. Giordano alongside Italian Health Minister Orazio Schillaci, Mayor of Naples Gaetano Manfredi, and professors Giuseppe Petrella, Paolo Poletti, and Mauro Moruzzi.