For several years, we have embraced the paradigm of Data-Driven Healthcare.

By combining these methodologies with our in-depth knowledge of the administrative and clinical healthcare processes managed through our systems, we strive to develop new management application solutions. These solutions ensure increasingly accurate, reliable, and timely data collection, guiding both operational activities and strategic decision-making.  

AI enables the processing of large volumes of data from various sources, in different formats, within extremely short timeframes, allowing for the application of complex algorithms. At Engineering, we believe this computational power should be harnessed to enhance management solutions, automate operations, transform processes, and predict future trends.

For us, enhancing management solutions means integrating automation functions that streamline operational processes, such as appointment scheduling via CUP and waitlist management. It also means expanding functionalities to support users, as seen in the use of chatbots; enabling remote delivery of specialized services, as in Telemedicine; supporting diagnostic decision-making by identifying pathologies in real-time from digital slides; and optimizing operational workflows based on observed, simulated, or predicted dynamics - such as Digital Twins applied to operating room management.

This journey has been developed in collaboration with healthcare organizations, following a co-design approach to ensure accessible and widely adoptable solutions across the sector.