CODE | 106731 |
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ACADEMIC YEAR | 2023/2024 |
CREDITS |
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SCIENTIFIC DISCIPLINARY SECTOR | ING-INF/06 |
LANGUAGE | English |
TEACHING LOCATION |
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SEMESTER | 1° Semester |
TEACHING MATERIALS | AULAWEB |
Digital health, or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating software, hardware and services. Under its umbrella, digital health includes mobile health (mHealth) apps, electronic health records (EHRs), electronic medical records (EMRs), wearable devices, telehealth and telemedicine, as well as personalized medicine.
The course, starting from the introductory contents presented in the previous Technologies for Personalized Medicine course, intends to provide the theoretical, technological and practical bases to address the topics described in the previous paragraph.
The increasing introduction of computing techniques into biomedical environments will require that well-trained individuals be available not only to teach students, but also to design, develop, select, and manage the biomedical-computing systems of tomorrow. There is a wide range of context- dependent computing issues that people can appreciate only by working on problems defined by the healthcare setting and its constraints. With this aims, the course will present typical application of information sciences to medical issues (like electronical health record systems, public vs consumer health informatics, health information infrastructure, telehealth) considering some basic technologies like: database systems, standard definition both at technical and at semantic level, internet based communication, natural language processing, decision support systems.
Aims
Learning outcomes
Open badge: expertise in project creation
The course is developed in parallel on two tracks.
In the first, more theoretical, the various topics are presented with traditional lessons, there are also some seminars by Italian and foreign experts on specific topics.
In the second, more practical, teaching is carried out in a participatory way, developing together with the students increasingly concrete examples of parts of databases of significant interest in Medical Information Technology and their (standardized) interfaces using web services.
Working students and students with certification of DSA, disability or other special educational needs are advised to contact the teacher at the beginning of the course to agree on teaching and exam methods which, in compliance with the teaching objectives, take into account the methods of individual learning.
Office hours: Dates by appointments
https://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso
All class schedules are posted on the EasyAcademy portal.
In the final practical interview, all the components of the system developed during the lessons relating to a specific topic will be analyzed. The analysis skills of the developed codes and the ability to change the same codes as the requirements change will be evaluated.
In the theoretical interview, the ability to connect between the various topics studied will be assessed, especially in order to test the propensity for complex design in the medical IT field.
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