Multiprofessional Care Integration Challenges

Home Care

Smart Ambient Assisted Living Technologies

20-I02
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October 2nd 2020 - October 3rd 2020
COURSE COORDINATORS
Ana Rita Londral (Eng, PhD)
COURSE PRESENTATION
This course aims to train health professionals to implement projects for smart assisted living, with a focus on home care and telemonitoring, using patient-centred principles.

Participants will learn the basic principles of telemonitoring technologies and Internet of Things (IoT), the main modules of a home care system infrastructure, and the most relevant issues related to outcomes measurement and data management and security. Participants will gain skills to co-design new smart assisted living projects in their professional environment. Economic and social impacts of smart assisted living technologies will be discussed.

The hands-on activities will give the students the opportunity to experiment with mobile apps for telemonitoring and IoT devices, to learn about devices’ synchronisation and other technical and usability issues, and to try practical data management tools.

At the end of the course, participants will design a new project taking into account a use case that
will be proposed by the faculty or the participant him/herself.
TARGET AUDIENCE
All relevant healthcare professional categories
LEARNING OBJECTIVES >> KNOWLEDGE AND SKILLS TO DEVELOP
  1. To know, in the perspective of a healthcare professional, the state of the art of smart living and telemonitoring technologies applied to the health care sector.
  2. To access to a portfolio of implemented projects and case-studies of home care using smart assisted living technologies and methods.
  3. To test, experiment, and interconnect devices and apps that are available in the health care market.
  4. To know the main future challenges of home care related to data protection issues, technology acceptance, costs, business models, among others.
  5. To co-design a project to implement tele monitored home care for a specific health care context.
ADMISSION CRITERIA
CV and Motivation Letter

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