Open Calls with Relevance to ICT for Health

European CommissionA series of calls in Horizon 2020 under Societal Challenge "Health, demographic change and wellbeing" (SC1) with relevance to ICT for Health (eHealth) are now open: PHC-21-2015, PHC-25-2015, PHC-27-2015, PHC-28-2015, PHC-29-2015.

PHC-21-2015 Advancing active and healthy ageing with ICT: Early risk detection and intervention

Opening Date 30-07-2014
Publication date 11-12-2013 Deadline Date 21-04-2015 17:00:00 (Brussels local time)
Total Call Budget €104,500,000 Main Pillar Societal Challenges
Status Open OJ reference OJ C 361 of 11 December 2013

Proposals should focus on early risk detection and intervention: specifically ICT based solutions which support active and healthy ageing by enabling early detection and minimisation of risks associated with ageing, including (but not limited to) cognitive impairment, frailty, depression and falls.

Proposals should demonstrate the link between changes in behaviour and subsequent negative consequences of ageing by unobtrusive behavioural sensing, and large scale collection of data readily available in the daily living environment of older individuals.

Proposals should also design ICT based interventions countering identified risks, as well as innovative treatments and therapies based on early detection.

Proposals should build on multi-disciplinary research involving behavioural, sociological, health and other relevant disciplines, and on stakeholder engagement in order to be driven by relevant user needs to ensure end-user acceptance (including gender aspects). Full account should be taken of relevant data protection aspects.

The Commission considers that proposals requesting a contribution from the EU of between EUR 3 and 4 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Topic Conditions, Documents and Submission Service:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/2268-phc-21-2015.html

 

PHC-25-2015 Advanced ICT systems and services for integrated care

Opening Date 30-07-2014
Publication date 11-12-2013 Deadline Date 21-04-2015 17:00:00 (Brussels local time)
Total Call Budget €104,500,000 Main Pillar Societal Challenges
Status Open OJ reference OJ C 361 of 11 December 2013

Proposals should go beyond the current state of art in tele-health and tele-care systems by developing new approaches for integrated care supported by ICT systems and services. Proposals should address barriers from technological, social and organisational points of view in the following domains:

  • Development of robust, privacy compliant, accurate and cost-effective systems that facilitate monitoring of patient status, patient activity and compliance with therapy;
  • Fusion, analysis and interpretation of patient and care provider data, to improve decision making among formal and informal care givers and patients;
  • Multi-channel and multi-actor interaction and exchange of knowledge in integrated care settings, across digital collaborative platforms;
  • Development of patient-oriented services to support patient empowerment, self-care, adherence to care plans and treatment at the point of need;
  • Development of new patient pathways, new training programmes for the care workforce and new organisational models to improve the coordination of care services as well as the skills and collaboration of health professionals, social carers and informal care givers;
  • Personalisation of care management programmes to specific characteristics of patients' profiles, through analysis of multimodal data, risk stratification algorithms for chronic diseases and multi-morbidity conditions, predictive algorithms of patient's status, and personalisation tools for patients and;
  • The creation of new knowledge for the management of co-morbidities and for addressing poly-pharmacy.

Topic Conditions, Documents and Submission Service:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/2269-phc-25-2015.html

 

PHC-27-2015 Self-management of health and disease and patient empowerment supported by ICT

Opening Date 30-07-2014
Publication date 11-12-2013 Deadline Date 21-04-2015 17:00:00 (Brussels local time)
Total Call Budget €104,500,000 Main Pillar Societal Challenges
Status Open OJ reference OJ C 361 of 11 December 2013

Solutions should be developed and tested with the use of open innovation platforms such as large scale demonstrators for health and service innovation. Gender and ethical issues should be duly considered. Proposals should involve health procurers and support them in their efforts to lower costs, and reduce difficulties associated with limited numbers of health professionals by utilising the capacity and potential of the patient as a co-producer of health. Proposals should use pre-commercial procurement to maximise the engagement of innovation in healthcare organisations following the community building and road-mapping activity in the seventh framework programme call 10 CSA on innovation in health procurement.

Topic Conditions, Documents and Submission Service:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/2270-phc-27-2015.html

 

PHC-28-2015 Self management of health and disease and decision support systems based on predictive computer modelling used by the patient him or herself

Opening Date 30-07-2014
Publication date 11-12-2013 Deadline Date 21-04-2015 17:00:00 (Brussels local time)
Total Call Budget €104,500,000 Main Pillar Societal Challenges
Status Open OJ reference OJ C 361 of 11 December 2013

Proposals should focus on predictive systems based on computer modelling and will develop decision support systems (DSS) that will be used by the individual. The DSS should include the collection of various data (patient, clinical, biological, therapeutic, behavioural, environmental or occupational exposure, physical training and performance, lifestyle and diet, environmental data, social data etc.). Connected existing predictive models should process these data in real-time to predict how the health of the patient will evolve in the near future and such predictions, accompanied with all relevant information regarding their uncertainties and limits should be used by the patient / citizen him or herself for self-management of health and wellbeing. These DSS may also help to improve interactions between individuals / health professionals and co-decision making in healthcare. Proposals may also include combination with monitoring personal health systems and other technologies and sources of data, as e.g., tools for data collection on external factors potentially linked to disease. Gender and ethical issues should be duly considered.

Topic Conditions, Documents and Submission Service:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/2271-phc-28-2015.html

 

PHC-29-2015 Public procurement of innovative eHealth services

Opening Date 30-07-2014
Publication date 11-12-2013 Deadline Date 21-04-2015 17:00:00 (Brussels local time)
Total Call Budget €104,500,000 Main Pillar Societal Challenges
Status Open OJ reference OJ C 361 of 11 December 2013

The proposals should improve sustainable deployment of new or improved services by healthcare service procurers in line with the eHealth Action Plan. Examples of target outcomes for healthcare delivery may include addressing early hospital discharge, delivery of healthcare in remote, sparsely populated and difficult to access regions, eHealth services for mobile EU patients, and pre/post operation care outside the hospital environment.

Topic Conditions, Documents and Submission Service:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/2272-phc-29-2015.html

Find your partners or consortia preparing a project proposal
If you need help to identify a potential partner or consortia with particular competences, facilities or experience, please join Health IT Space at http://www.healthitspace.eu

Health IT Space is the first social networking platform for Health IT Professionals and Stakeholders. Explore the list of all Health IT Space registered members at http://www.healthitspace.eu/network/members

Most Popular Now

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...

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...

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...

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...

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...

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...

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...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...