D1 – Knowledge and understanding
Students will acquire the basic knowledge of computer architecture, digital encoding, and clinical information flows. They will understand the impact of digital technologies in healthcare contexts.
D2 – Applying knowledge and understanding
Students will be able to describe hardware and software components, analyze simple algorithms, and understand the organization of networks and systems for clinical data transmission.
D3 – Making judgments
They will develop the ability to evaluate the effectiveness and security of digital solutions adopted in healthcare information systems.
D4 – Communication skills
They will be able to clearly and accurately explain learned concepts using appropriate technical language and communicate effectively with both healthcare and IT professionals.
D5 – Learning skills
Students will acquire a study method useful for independently exploring advanced topics in health-related information technology.

No specific prior knowledge is required. A basic familiarity with computer use and IT terminology is recommended.

The course introduces the fundamentals of information processing systems, with reference to healthcare application contexts. After an overview of computer architecture and the functioning of operating systems, the course covers basic concepts of digital encoding, data representation, and file management. The main data formats (text, image, audio, video), compression techniques (lossless and lossy), computer networks, and essential cybersecurity measures are presented. A section of the course focuses on understanding information flows in healthcare, digital tools for the secure transmission of clinical data, and an introduction to artificial intelligence in healthcare settings.

R. Grassi, G. Pinto, N. Serra. Sistemi per l’elaborazione dell’informazione. EdiSES, 2016
Handouts and teaching materials provided by the instructor

The course begins with an overview of computer system architecture and the fundamental concepts of hardware, software, and input/output devices. It delves into the functioning of operating systems and computer networks, including basic communication protocols. Significant attention is devoted to data encoding and representation, with a focus on digital formats (text, image, audio, video) and compression techniques, both lossless and lossy. The course addresses issues related to data security, privacy, and current legislation. A specific focus is placed on digital tools for secure storage and transmission of clinical data, along with an introduction to emerging technologies, including artificial intelligence in healthcare.

Lectures, group work, discussion of practical cases.

Any updates regarding the schedule, examination methods, or teaching materials will be published on the Moodle platform and on the Degree Program website.

Assessment consists of a written test lasting one hour, divided into two parts: a first section with 10 multiple-choice questions (1.5 points for each correct answer), and a second section with 3 open-ended questions, each worth up to 5 points. The maximum score is 30/30, with a passing grade at 18/30. Honors (cum laude) may be awarded to students who, in addition to achieving the maximum score, demonstrate exceptional clarity, mastery of technical language, and critical thinking in the open-ended responses.