Logo UAB
2021/2022

Projects in IoT for eHealth

Code: 44021 ECTS Credits: 6
Degree Type Year Semester
4316624 Internet of Things for e-Health OB 0 1
The proposed teaching and assessment methodology that appear in the guide may be subject to changes as a result of the restrictions to face-to-face class attendance imposed by the health authorities.

Contact

Name:
Jordi Carrabina Bordoll
Email:
Jordi.Carrabina@uab.cat

Use of Languages

Principal working language:
english (eng)

Teachers

Ferran Torres
Maria Feijoo Cid
Nina Granel Gimenez
David Téllez Velasco
Juan Leyva Galera

Prerequisites

MOdules 1 & 2 of the Master

Objectives and Contextualisation

This module focuses on the design, development and management of ICT projects in health in the range of applications spanning the active health monitored by devices IoT master in accordance with the standards and models of the health domain both international and local, including qualitative and quantitattive aspects related to research and the multidisciplinary teams and in compliance with the ethical and legal aspects, specialy those related with the users and patients.

Competences

  • Apply basic research tools in the area of IoT in health.
  • Apply the ethical rules applicable in the health sector.
  • Apply the local, autonomic, national and international regulations in the area of IoT in health.
  • Continue the learning process, to a large extent autonomously.
  • Identify care procedures in the health system and the factors for their digital transformation to a more efficient model for professionals and patients.
  • Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  • Plan, develop, evaluate and manage solution for projects in the different areas of IoT taking into account aspects of multidisciplinary co-design, user privacy and data security.
  • Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
  • Use ICT applied to IoT in health.
  • Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.

Learning Outcomes

  1. Apply basic research tools in the area of IoT in health.
  2. Apply the local, autonomic, national and international regulations in the area of IoT in health.
  3. Continue the learning process, to a large extent autonomously.
  4. Design subsystems or systems generating products that meet standards and regulations and be familiar with related procedures and their evaluation.
  5. Identify the healthcare procedures within the health system in its distinct ambits and implement these totally or partially through IoT technologies in an efficient manner.
  6. Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  7. Select the most suitable components, technologies, platforms and data sets to develop solutions to health IoT problems.
  8. Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
  9. Use ICT applied to IoT in health.
  10. Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.

Content

 

Examples of ICT projects and technologies (Invited Companies/Entities)

Methodology

The learning methodology will combine: classes exhibition activities in tutored session based learning problems and use cases participation in follow-up to prepare oral presentation/exhibition of works works Personal study.

Attendance will be mandatory for all face-to-face activities.

This course will employ UAB's virtual campus at https://cv.uab.cat.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Activities

Title Hours ECTS Learning Outcomes
Type: Directed      
Lessons and Seminars 45 1.8 2, 1, 4, 5, 3, 9
Type: Supervised      
Use Case Exercices & TFM 14 0.56 1, 4, 5, 8, 7
Type: Autonomous      
Study, Homework, TFM Project Plan 90 3.6 2, 4, 5, 8, 3, 7, 9

Assessment

The final mark for the course, is calculated in the following way:
A - 10% from the mark obtained by the student for class attendance and active participation in class discussions.
B - 50% from the mark obtained by the exercise and work reports.
C - 4O% of the mark obtained by the student for an oral defense of the TFM project proposal

A final weighted average mark not lower than 50% is sufficient to pass the course, provided that a score over one third of the range is attained in everyone of the 3 mark.

Plagiarism will not be tolerated. All students involved in a plagiarism activity will be failed automatically. A final mark no higher than 30% will be assigned.

An student not having achieved a sufficient final weighted average mark, may opt to apply for remedial activities the subject under the following conditions:
- the student must have participated in the problem-based learning activities, and
- the student must have participated in the oral defense, and
- the student must have a final weighted average higher than 35%, and
- the student must not have failed any activity due to plagiarism.

Students not having participated in any evaluation activity will receive a final mark of "No evaluable".

Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Attendance and active participation in class 10 0 0 2, 1, 5, 3, 9
Evaluation of the Work/Project Report 50 0 0 2, 4, 5, 8, 7, 9
Oral defense of the work(s)/project(s) carried out 40 1 0.04 2, 1, 4, 6, 8, 7, 10, 9

Bibliography

General Health

http://www.who.int/

http://www.euro.who.int/en/about-us/partners/observatory/publications

Project management

A Guide to the Project Management Body of Knowledge. Project Management Institute (PMI). http://dinus.ac.id/repository/docs/ajar/PMBOKGuide_5th_Ed.pdf

The Standard for Program Management—Third Edition. Project Management Institute (PMI).

Organizational Project Management Maturity Model (OPM3®)—Third Edition. Project Management Institute (PMI).

Clinical Trials

Pocock SJ. Clinical Trials - A Practical Approach. West Sussex, England: John Wiley & Sons, 1983.

Piantadosi S. Clinical Trials A Methodologic Perspective Second Edition. Hoboken, NJ: Wiley-Interscience, 2005.

Epidemiology

Strom BL. Pharmacoepidemiology. 3rd ed. Chichester: John Wiley, 2000.

Statistics

Armitage PG, Berry G, Matthews JNS. 2002. Statistical methods in medical research. Oxford: Blackwell Science Limited.

Altman DG, Machin D, Bryant TN, Gardner MJ. Statistics with confidence. London, UK: BMJ Publishing Group, 2000.

Scientific reporting

All designs:  EQUATOR http://www.equator-network.org/

Clinical trials: Reporting Clinical Trials CONSORT Statement  http://www.consort-statement.org/

Observational Studies: The Strengthening the Reporting of Observational Studies in Epidemiology,  STROBE http://www.strobe-statement.org/

Basic Statistical Reporting for Articles Published in Biomedical Journals, SAMPL http://www.equator-network.org/wp-content/uploads/2013/07/SAMPL-Guidelines-6-27-13.pdf

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement http://www.tripod-statement.org

Software

Microsoft Project or similar programs for project management.