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)

Leaflet for professsionals