Improving Interoperability and Digitalization of the European Union Healthcare System: A Data Science Perspective on the ATHINA Platform and Threat Response.

This thesis represents the culmination of an end-of-studies project undertaken to obtain a Master's degree in Data Science from the prestigious University of Padova. Conducted as an internship in collaboration with Intellera Consulting and the University of Padova, this research delves into the imperative task of digitalizing the healthcare system. Specifically, it explores the efforts made by the European Union to establish an optimal framework for interoperability of healthcare information, aiming to enhance efficiency, improve patient care, promote interoperability, empower patients, and foster innovation. My involvement in this project encompassed its development, implementation, and assessment from a technical perspective. The global health crisis in recent times has underscored the urgent need for a more efficient and coordinated approach to address such threats. To enhance our response capabilities, I will elucidate my contributions to the development of the Advanced Technology for Health INtelligence and Action IT System. This cutting-edge system leverages advanced data science techniques to support anticipatory threat assessment, enable swift evaluation of health threats, facilitate the prioritization of Medical Countermeasures (MCM) through sophisticated data analysis and decision-making models, and more. Through this research, we aim to contribute to the ongoing efforts in creating a resilient and proactive healthcare system capable of effectively addressing emerging challenges.