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Scheda Riassuntiva
Anno Accademico 2018/2019
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 096261 - E-HEALTH METHODS AND APPLICATIONS [I.C.]
Docente Caiani Enrico Gianluca
Cfu 10.00 Tipo insegnamento Corso Integrato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (471) BIOMEDICAL ENGINEERING - INGEGNERIA BIOMEDICA*AZZZZ096261 - E-HEALTH METHODS AND APPLICATIONS [I.C.]
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ096261 - E-HEALTH METHODS AND APPLICATIONS [I.C.]

Obiettivi dell'insegnamento

e-Health is defined as the use of Information and Communication Technologies (ICT) for health. In the context of ageing population and increase in chronic patients-related healthcare expenditure, ICT represents a key component for ensuring quality, safety, access and efficiency, also stimulating new paradigms of care, from a paternalistic to a collaborative model, from acute care to prevention. The goal of the course is to enable students with relevant tools and concepts that are needed to master the complexity of ICT in healthcare in this continuously evolving field. Through the course, also practical projects will be proposed to groups of students, to stimulate their problem-solving, and giving an opportunity to present and discuss their work to an audience.

The course is structured in two parts, Methods and Applications, which are interleaved throughout  the semester.


Risultati di apprendimento attesi

Dublin Descriptors

Expected learning outcomes

Knowledge and understanding

Students will learn how to:

  • Understand basic and advanced concepts of ehealth

·         Use different taxonomies in the healthcare field

·         Face with different ICT tools according to the required situation

·         Consider the concept of ethics, privacy, behavioral changes from an engineering point of view

·         Use some medical informatics tools for data analysis

Applying knowledge and understanding

Given specific project cases, students will be able to:

  • Detail the corresponding requirements
  • Analyze and comment on specific design choices
  • Develop and test code fulfilling the requirements

Making judgements

Given a relatively complex problem, students will be able to:

·         Evaluate correctness of proposed solutions

·         Understand which factors are important to avoid failures when implementing eHealth

·         What are the usable tools for care professionals, the role of patient and of the engineer

Communication

Students will learn to:

·         Write a report to describe the design and implementation choices

·         Present their work in front of their colleagues during project labs

Lifelong learning skills

 

  • Students will learn how to develop a realistic project
  • Students will learn how to use ICT in the context of healthcare
  • Students will learn useful concepts to help them interpreting the surrounding everyday healthcare reality with a different perception

Argomenti trattati

Please note that this list is indicative and class topics may change due to teaching needs in this highly evolving field.

Introduction to e-health

  • What is e-health?
    • Concepts and definitions
  • Types of e-health applications
  • Overview, definitions and history of e-health and biomedical informatics
    • A view on healthcare in EU in an aging society
    • Success factors and barriers to e-health implementation
  • Overview of e-health data
    • Data types
    • Data collection and recording
    • Use of e-health data 

E-health for healthcare professionals

  • E-health applications for healthcare professionals:
  • Who are the healthcare professionals?
    • Different healthcare professionals and their way of using e-health
  • Different types of e-health for healthcare professionals
  • Decision making in e-health:
    • Integration of e-health information: cognitive science principles
    • Management of uncertainties for decision making
    • Electronic Medical Records / Electronic Health Records and the safety and quality of patient care
    • Clinical Decision Support Systems / Mining hospital data to predict patient outcomes
    • Electronic prescription and delivery / Electronic medications management
  • Imaging informatics

E-health for patients

  • Who is the patient?
    • Differences in patient groups
    • E-patients and empowerment
    • Patient literacy
  • Patient data and ethics, e-health and ethics, the concept of privacy in EU and USA, security and confidentiality
  • E-health applications for patients:
    • Personal Health Records / Clinical data linkage tools and services
    • Patient and family portal access to EMR systems - possibilities and challenges
    • Patient monitoring / E-health solutions for chronic disease management
    • Adherence
  • Support groups and communities / Social media in health
  • Mobile apps and medical devices: current legislation, open problems

E-health for lifestyle and prevention

  • Consumer health informatics
  • Body tracking and the Quantified Self
  • E-mental health
  • User-centred design and evaluation of health apps
  • Ageing well with technology
  • Persuasive design technology

Use of e-health data for research

  • Medical literature retrieval: systematic review
  • Registries of e-health data:
    • Issues in data collection and anonymization
    • Adherence to treatment guidelines
    • Reporting quality of care
  • Use of e-health data for research:
    • Evidence-based medicine
    • Comparative effectiveness analysis
    • Large scale clinical trials
  • Geospatial data in health
  • E-health projects in low-income countries
  • Big data for e-health

 

Design and implementation of e-health

  • Technical demands on e-health systems
    • Technical infrastructure
    • e-health system architecture
  • Health informatics standards and terminologies
    • DICOM
    • HL7
    • Integrating the Healthcare Enterprise (IHE)
    • Unified Medical Language System (UMLS)
    • Systematized Nomenclature for Medicine (SNOMED CT)
  • Information retrieval techniques for data-mining of medical records
    • Natural language processing

 

A project laboratory is mandatory and is an integral part of the course. The objective of projects is to give the students the opportunity to tackle a real problem using concepts learned in class, working in small groups and organizing their work. Projects will be assigned at the beginning of the semester and are expected to be given in at fixed deadlines defined by the time the project will be assigned. The evaluation of projects will be based on the produced reports and on a final presentation.


Prerequisiti

Students are required to know the basic principles of programming.


Modalità di valutazione

The assessment will be based on a written exam, covering the two parts of the integrated course (Methods and Applications) at the end of the course, and on the projects developed in the laboratory part of the course. These projects will be presented to the instructor and colleagues at the end of the course. The scores of the written exam and of the project part, weighting each for 50% of the final score, will be summed to compute the total score. In addition, optional oral exam is allowed with a +/- 3 points range modification on the total score.

 

Type of assessment

Description

Dublin descriptor

Written test

·         Theoretical questions on all course topics with open answer

1,4,5

Assessment of laboratory project

  • Assessment of the design and experimental work developed by students either individually or in groups

2, 3, 4, 5

Oral presentation

  • Assessment of the presentation of the work developed as part of laboratory activities developed by students either individually or in groups

2, 3, 4, 5

Optional Oral exam

  • Theoretical questions on the course topics

1,4,5


Bibliografia
Risorsa bibliografica obbligatoriaPDF lectures on BEEP
Risorsa bibliografica obbligatoriaRecent articles on e-health uploaded on BEEP
Risorsa bibliografica facoltativavan Gemert-Pijnen, Kelders, Kip, Sanderman, eHealth research, theory and development, Editore: Routledge (Taylor and Francis), Anno edizione: 2018
Risorsa bibliografica facoltativaShortliffe Edward H. and Cimino James J., Editors, Biomedical Informatics: Computer Applications in Health Care and Biomedicine, Editore: Springer, ISBN: 978-0387289861

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
60:00
90:00
Esercitazione
40:00
60:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 100:00 150:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
22/11/2019