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CODE 106731
ACADEMIC YEAR 2023/2024
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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 AND LEARNING OUTCOMES

Aims

  • Acquisition of the theoretical basis of the major constituent elements of the Digital Health ecosystem
  • Acquisition of the practical elements of sharing clinical data.
  • Application of medical informatics standards

Learning outcomes

  • To improve computer skills especially with regard to databases. managed languages and service-oriented architectures
  • To learn about specific design methods for health information systems

Open badge: expertise in project creation

 

 

PREREQUISITES

  • General informatics
  • Databases
  • Object oriented programming languages
  • Operating systems
  • Computer networks

TEACHING METHODS

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.

 

SYLLABUS/CONTENT

  • Biomedical Data: Their Acquisition, Storage, and Use
  • Human-Computer Interaction, Usability, and Workflow
  • Standards in Biomedical Informatics
  • Natural Language Processing for Health-Related Texts
  • Personal Health Informatics
  • Evaluation of Biomedical and Health Information Resources
  • Electronic Health Records
  • Health Information Infrastructure
  • Management of Information in Health Care Organizations
  • Patient-Centered Care Systems
  • Population and Public Health Informatics
  • mHealth and Applications
  • Telemedicine and Telehealth
  • Information Retrieval
  • Clinical Decision-Support Systems
  • Clinical Research Informatics
  • Precision Medicine and Informatics

 

  • Practical Clinical Data Management
  • Examples of data treatment through the WEB

RECOMMENDED READING/BIBLIOGRAPHY

  • E. H. Shortliffe, J. J. Cimino (Editors), M. F. Chiang (Co-Editor) “Biomedical Informatics: Computer Applications in Health Care and Biomedicine” Fifth Edition, 2021, Cham (Switzerland), Springer
  • Silberschatz, H. Korth, S. Sudarshan “Database Systems Concept” Seventh Edition, 2020, New York, Mc Grow Hill
  • N. Harrison “SQL Queries Succinctly”, 2017, Syncfusion
  • D. Roth, J. Fritz, T. Southwick “Blazor for ASP.NET Web Forms Developers” 2021, Microsoft

TEACHERS AND EXAM BOARD

Exam Board

MAURO GIACOMINI (President)

NORBERT MAGGI

LAURA PASTORINO (President Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

  • Practical test, developed during the lessons, with a final interview
  • Interview on the theoretical topics listed in the syllabus

ASSESSMENT METHODS

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.

Exam schedule

Data Ora Luogo Degree type Note
08/01/2024 15:00 GENOVA Scritto
22/01/2024 15:00 GENOVA Scritto
09/02/2024 15:00 GENOVA Scritto
05/06/2024 15:00 GENOVA Scritto
18/06/2024 15:00 GENOVA Scritto
11/07/2024 15:00 GENOVA Scritto
02/09/2024 15:00 GENOVA Scritto

Agenda 2030 - Sustainable Development Goals

Agenda 2030 - Sustainable Development Goals
Good health and well being
Good health and well being