Horizon 2020 Work Programme 2016-2017: Health, Demographic Change and Well-being

The headline goal of the 'Health, Demographic Change and Well-being' Societal Challenge is better health for all. Its main policy objectives are to improve health and well-being outcomes, to promote healthy and active ageing, to promote market growth, job creation, and the EU as a global leader in the health area. The challenges to this goal derive from the ageing of European population and lifestyle patterns, which, if not actively managed through a life-course approach, will increase the burden of chronic diseases on individuals, on existing health and care systems and on society. This will also result in increase of public expenditure coupled with labour force and productivity losses.

The overall strategic orientation for the 'Health, Demographic Change and Well-being' Work Programme 2016-2017 is 'promoting healthy ageing and personalised healthcare'. It directly links with what has been successfully initiated in the years 2014-2015. The programme will implement several research priorities: personalised medicine, rare diseases, human bio-monitoring, mental health, comparative effectiveness research, advanced technologies, e/m-health, robotics, patient empowerment, active and healthy ageing, data security, big data, valorisation, anti-microbial resistance, infectious diseases including vaccines, maternal and child health and the silver economy. In addition, Pilot 1 'Smart Living Environments for Ageing Well' of the focus area call on 'Internet of Things' is jointly implemented by the "Health, Demographic Change and Well-being" Societal Challenge and the "Leadership in enabling and industrial technologies Information and Communication Technologies" (ICT LEIT) (see topic IoT-01–2016: Large Scale Pilots in part 17 of the Work Programme). Those priorities will support the development of evidence-based health and care policies, resulting from scientific research data, ICT solutions and good practices in interventions improving efficiency and quality of health and care systems.

Download: Horizon 2020 Work Programme 2016-2017: Health, Demographic Change and Well-being (.pdf, 932 KB).

Download from eHealthNews.eu: Horizon 2020 Work Programme 2016-2017: Health, Demographic Change and Well-being (.pdf, 932 KB).

Most Popular Now

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Jane Stephenson Joins SPARK TSL as Chief…

Jane Stephenson has joined SPARK TSL as chief executive as the company looks to establish the benefits of SPARK Fusion with trusts looking for deployable solutions to improve productivity. Stephenson joins...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...