Carlos Luis Parra-Calderón

• Standards for the next generation of information for Healthcare and Research, AI-Language Models-based

Artificial Intelligence

This contribution is intended to impact the development of new, more competitive AI-based Electronic Health Record products offered by European vendors.

The expected outcome is a standardised framework to support the effective implementation of AI in healthcare, facilitating the standardisation of interoperable, AI-ready patient data across Europe by fostering the implementation of the European Health Data Space.

• Advancing AI and Health Standards: Harmonizing Information Interoperability and AI for Healthcare

E-Health, Healthy living and ageing

The project lays the foundation for an accessible and efficient ecosystem around AI in healthcare. Harmonising standards such as FHIR and ISO 13606 reduce technical barriers, enabling SMEs to develop solutions compatible with existing systems and compete with large enterprises. It also lowers development costs and drives innovation.

For society, AI standardisation promises to improve quality, safety, and equity in healthcare. It will foster public trust through compliance with ethical and privacy principles aligned with European values such as transparency. These improvements can translate into more accurate diagnoses and personalized treatments, benefiting patients and professionals.