Ambient Assisted Living Roadmap

Ambient Assisted Living Roadmap
New European population projections for 2008-2060, published by the European Office for Statistics, has recently underlined that the number of elderly persons will quickly increase. From 2015 on, deaths are projected to outnumber births in the EU27 and almost three times as many people will be aged 80 or more in 2060. This demographic development and the ageing of European populations will lead to a growing number of older people living alone and in need of (intensive) care, to an ageing workforce in general and to more financially well-appointed and wealthy senior citizens ready to enjoy their third age and to spend money on products securing and enhancing wealth, safety, security and not forgetting entertainment and communications needs. This demographic development and the ageing of European populations will lead to a growing number of older people living alone and in need of (intensive) care, to an ageing workforce in general and to more financially well-appointed and wealthy senior citizens ready to enjoy their third age and to spend money on products securing and enhancing wealth, safety, security and not forgetting entertainment and communications needs. Considering that this trend will also be correlated to a rapid growth in the number of persons with physical disabilities, it is clear that the problem of care and assistance to these persons are becoming more and more important both from social and economical points of view. These societal trends will bring dramatic challenges for healthcare and care systems, state pensions schemes and employers alike and at the same time offer innovation and business opportunities for technology providers in the field of innovative ICT-enabled assisted living or "ambient assisted living" (AAL). AAL relates to intelligent systems of assistance for a better, healthier and safer life in the preferred living environment and covers concepts, products and services that interlink and improve new technologies and the social environment, with the aim of enhancing the quality of life (related to physical, mental and social well-being) to for all people (with a focus on older persons) in all stages of their life. AAL can help older individuals to improve their quality of life, to stay healthier and to live longer, thus extending one’s active and creative participation in the community.

Currently there is a vast number of (more or less linked) European and national research activities in the field of AAL involving various technology areas and innovative technology approaches. What is missing however is a common vision of AAL providing and defining the necessary future R&D steps and projects on the way to Ambient Assisted Living. In order to close this gap the AALIANCE project - "The European Ambient Assisted Living Innovation Alliance" - was funded within the specific programme "Cooperation" and the research theme "ICT" of the 7th European Framework Programme. Its aim is to develop such a roadmap and strategic guidance for short-, mid- and long-term R&D approaches in the AAL context.

In this document the roadmap for AAL and its main related concepts are presented.

Download Ambient Assisted Living Roadmap (.pdf 4.136 KB).

Download from eHealthNews.EU Portal's mirror: Ambient Assisted Living Roadmap (.pdf 4.136 KB).

For further information, please visit:
http://www.aaliance.eu

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...