ICT4Life -
H2020 project
Partners
-
Ártica
Telemedicina
-
Universidad
Politécnica de Madrid
-
Asociación
Parkinson Madrid
-
Netis
Informatics Ltd.
-
E-Seniors: Initiation des
Seniors aux NTIC
-
Centre for Research and Technology Hellas
-
Maastricht University
-
European
Hospital and Healthcare Federation
-
University
of Pécs – Medical School
Summary
ICT4Life
will dedicate a large amount in order to develop a solution for individuals
with early stage cognitive impairment living alone that will permit doctors and
caregivers to extract useful information about patients (for taking the
best medical or social actions), while contributing in a user friendly way to
extending their independence.
ICT4Life
will also develop services for monitoring personal health status by
means of home-based transparent sensoring of patient
everyday activities and effective personalised
training for patients.
Delivery
of tele-services that will enable
citizens to record their own checks, receive health
messages
and access health and social services through personalised
interfaces. The interaction among patients, health and social care
professionals will leverage from emerging know-how. Private social networks of
patients sharing common disease or of doctors of the same field/treating same
type of patients.
ICT4Life
will conduct research and will implement a platform integrating core modules
aimed at delivering a series of innovative services, targeting 1. Elderly
people with cognitive impairments and Parkinson’s disease, 2. Clinicians and 3.
Formal and informal caregivers. The technologies that will constitute the main
pillars of ICT4Life are the following:
Education delivery methods for care professionals. Tools for the automatic
creation of reusable resources, i.e. formative training content, etc.
ICT decision support instruments, incorporating machine intelligence, allowing
care professionals to have access to treatment/therapy recommendations
according to patients’ profile.
Advanced visual analytics to monitor personal health status
Indoors activity recognition through advanced sensing to detect deviations from
persons’ daily conduct.
Game-based learning and adaptation tools to boost patient empowerment and
self-care abilities.
Integration of unobtrusive biomedical sensors for continuous monitoring of the
patient health status and compilation data to be processed and generate new
medical knowledge
Design and development of personalised interfaces
relying on smart/Connected TV and Androidbased/ iOS/Windows mobile technologies as interaction mechanism
with ICT4Life Teleservices
Standard codification mechanisms to increase levels of integration of clinical
and social data from
multiple
service providers and user-generated data. Electronic Health/Care Record
(HER-PHR)
Data mining to accomplish data analytics so that new knowledge about
co-morbidities, disease evolution and socio demographic parameters will be
generated
Target population
People
with dementia, in general and, in particular, with Alzheimer at an
early stage and with
Parkinson
(50% of patients of Parkinson eventually suffer from dementia, although the
numbers are not so representative compared to those associated to Alzheimer)
constitute the main group of users ICT4Life will focus its analysis on.
The
platform will be developed following a user-centred
methodology and tested in real life scenarios (granted by the participation to
the consortium of two different types of end users, patients suffering from
Alzheimer’s and Parkinson’s diseases)
senior
citizens of age +65 (p.16, 1.3.3)
First
project newsletter (January 2016)