Digital health tools have established themselves as one of the new technologies that can advance the digital transformation of healthcare. In particular, applications of digital medicine are changing the way we manage and cope with diseases, especially chronic ones, preventing or diagnosing diseases, promoting adherence, monitoring side effects, predicting the course of a disease or the workload of a hospital or department, identifying the best treatment of care, providing therapeutic and rehabilitative interventions.       Visit provider's page

The goal is to train professionals who have a critical understanding, knowledge, and skills (in terms of design, implementation, evaluation, experimentation, prototyping, and valorization) of computer science methodologies and technologies for studying and solving complex and interdisciplinary problems that arise in the field of health, pharma, nutraceuticals, wellness, and sports, with the aim of improving the quality of offerings and services (also in the context of a smart hospital), the efficiency and effectiveness of the results achieved, focusing on the personalization of care, assistance, monitoring, evaluation, and valorization of the patient, or more generally, of the user of all ages. [...]

The increasing introduction of computing technologies into biomedical environments requires that well-trained individuals be available not only to teach students, but also to design, develop, select and manage tomorrow's biomedical computing systems. There is a wide range of context-dependent computing problems that people can appreciate only by working on problems defined by the healthcare environment and its constraints. With this goal in mind, the course will present a typical application of information science to medical issues (such as electronic health record systems, public health informatics versus consumer health informatics, health information infrastructure, telehealth), considering some basic technologies such as: database [...]