Master in Digital Health: Engineering and managing high-quality medical software and systems – a.a. 23/24 - in inglese

The Master's Degree Course is divided into modules (60 CFU in total) including specific topics, functional to the disciplines object of study, according to the following schedule:

MODULE I - Quality Management, Project

- Management and Risk
- Management

The module focuses on the main aspects of product and process quality. In particular, it introduces the processes of project management, risk management and incident management, industry standards (ISO 13485, ISO 14971, IEC 64234, etc.) and the issues of certification of Medical Devices and Software as a Medical Device in the European context.

MODULE II - IoT & Embedded Systems for Healthcare

The module presents an introduction to embedded systems, IoT and embedded IoT systems. Then several applications for the healthcare sector are introduced, including tele-monitoring and telemedicine services.

MODULE III - Biomedical equipment

The module introduces the main classes of biomedical equipment and biomedical equipment software. Biomedical equipment with special reference to diagnostic imaging will be analysed by describing their
connection in the hospital network and the remote management of stateof-the-art equipment. Predictive approaches with AI software for machine maintenance and repair will be described.

MODULE IV - AI for medicine

The module presents an overview of artificial intelligence and machine learning methods and algorithms, discussing their properties and showing examples of their use in different application scenarios related to the health domain. The module will complement the theoretical study with an experimental part in which it will show how artificial intelligence and machine learning methods and techniques can be used to solve problems in the health domain. That is, starting from a correct formulation of the problem of interest, with the choice of the most appropriate approach or algorithm, and providing indications and examples on how to organise and conduct an experimental validation of the results obtained.

MODULE V - Software engineering

The module presents healthcare software development processes and frameworks (including V-model and Scrum), object and component-based SW design techniques, design patterns, design controls and
software testing techniques and tools.

MODULE VI - Electronic Health Records and related Standards

The module presents the architectural models, the main enabling technologies and health informatics standards (such as DICOM, HL7 CDA2, HL7 FHIR, IHE profiles) necessary to realise syntactically and semantically interoperable health information systems. Particular emphasis will be placed on IT systems supporting e-health applications, such as electronic health records and the electronic health record.

MODULE VII - Data Analytics for Healthcare

The module focuses on technologies and standards for managing and exploiting Big Data. Tools and methodologies for Big Data management, Business Intelligence and Visual Analytics will be presented.

MODULE VIII - Improving Technical English

The module aims to provide the terminology of English for Specific Purposes (ESP), with a focus on technical English, while consolidating the basic grammatical structures of standard English. Technical English refers to a common core language used in numerous professional fields: science, technology, medicine, IT etc. The acquisition of technical-specialist terminology not only facilitates written and oral communication between native and non-native speakers, but also reduces the risk of errors. Originally limited to the aviation industry, today it serves as a common basis for a variety of occupations and plays an important role for many professional profiles including engineers, doctors, technologists and computer scientists.

COMPANY INTERNSHIP AND FINAL TEST

The company internship is designed to enable students to develop a project of industrial interest with the guidance of company managers. The final consists of a discussion of the paper developed at the end of the placement.