logo-polimi
Loading...
Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 054301 - E-HEALTH METHODS AND APPLICATIONS [I.C.]
Docente Caiani Enrico Gianluca , Ferrante Simona
Cfu 10.00 Tipo insegnamento Corso Integrato
Didattica innovativa L'insegnamento prevede  1.0  CFU erogati con Didattica Innovativa come segue:
  • Blended Learning & Flipped Classroom

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*AZZZZ054301 - E-HEALTH METHODS AND APPLICATIONS [I.C.]
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ054301 - 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 e-health
  • 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
  • how to use ICT in the context of healthcare
  • 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: A view on healthcare in EU in an ageing society. What is e-health? Concepts and definitions. Overview definition and history of e-health and differences compared to biomedical informatics. Types of e-health applications. Success factors and barriers to e-health implementation. Hype Cycle of technology. 

Mobile applications and potential of the smartphone technology for health: consumer technology and m-health. Digital health in the patinet journey. New EU Medical Device Regulation, comparison with US FDA. Softare and medical device - implications for Artificial Intelligence and apps. Methods for app quality assessment

Big data: What is big data and how it is generated. The Value of big data. Big data in Healthcare and relevant barriers. Big data analytics.

Telehealth: Historical perspective of telehealth. Categorization of resources. Remote monitoring. Telemedicine. Telepresence. Barriers to telehealth implementations. Telehealth in low income environments.

Adherence: Dimensions of adherence. How to measure adherence. Technology to improve unintentional non-adherence. Understanding intentional non-adherence. Case-study on hyperthensive patients.

Consumer Health Informatics: personal health record, use of social media, apomediation, data liquidity, difference vs EHR, usability testing.

Ethical issues in e-health: Appropriate use. Ethical issues for AI. Exploring the concept of privacy in EU and USA. Privacy and violations using technology. EU General Data Protection Regulation (GDPR). Confidentiality and public health research. Pseudonomyzation. Biometric access to data.

E-health for patients: Who is the patient? Differences in patient groups. E-patients. Patient literacy and assessment tools. Cognitive behavioural models. Behavioural change techniques. Technology to change behaviour. Persuasive System Design model.  Patient engagement and empowerment. Self-tracking, wearables, mobile applications and virtual reality.

Italian and Lombardy health information system: a case study.

Use of e-health data for research: Medical literature retrieval: systematic review. Registries of e-health data. Adherence to guidelines. Reporting quality of care. Evidence-based medicine: Comparative effectiveness analysis and large scale clinical trials. Geospatial data in health.

Overview of e-health data: Data flow in healthcare, Classification of Data type, Data collection and recording, Use of e-health data, From data to information to knowledge based system in healthcare.

E-health for healthcare professionals: Who are the professionals and the main stakeholders in healthcare? Evolution of healthcare information systems. Functional components of a healthcare information system; Health Information Exchange; Interoperability in healthcare; the central role of the patient in healthcare

e-health terminologies: Definitions of terminologies, classifications and onthologies; Some relevant examples: Systematized Nomenclature for Medicine (SNOMED CT), Unified Medical Language System (UMLS) and Metamap.

Information retrieval techniques for data-mining of medical records: Natural language processing

Electronic prescription and delivery: e-prescribing definition and models; computerized physician order entry and clinical decision support system to prevent Adverse Drug Event.

Decision making in e-health: Biomedical Decision Making: probabilistic clinical reasoning; Management of uncertainties for decision making; Clinical Decision support system; Mining hospital data to predict patient outcomes.

e-health for clinical trials: the use of computerized systems in clinical investigations: electronic report form, electronic patient reported outcome measures.

Imaging informatics Clinical decision support system for imaging; DICOM; Picture Archiving and Communication System (PACS).

 

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 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
50:00
74:00
Esercitazione
10:00
10:00
Laboratorio Informatico
20:00
20:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
10:00
56:00
Totale 90:00 160:00

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
22/02/2020