A Holistic Approach for Creating a Digital Ecosystem Enabling Personalized Assistive Care for Elderly

The demographic change of the worldwide population has made the healthcare and social systems some of the most disturbed domains because of the costs induced by the increased incidence of multiple chronic diseases associated with ageing, but also by the growing number of the elderly and escalating life expectancy. Healthcare expenditure is furthermore expecting to mount due to the strong necessity of deploying better assistive care for older people that is up to create age-friendly environments, personalized treatments and support, appropriate medical devices and access to upgrading knowledge and information. In this context, the new digital technologies have a critical role and the potential to sustain the implementing of new elderly-centered solutions. A digital ecosystem should be based on a holistic approach able to link and interconnect multiple healthcare domains, patient-centered insights, and technology.

[1]  E. Seydel,et al.  Evaluation of Internet-Based Technology for Supporting Self-Care: Problems Encountered by Patients and Caregivers When Using Self-Care Applications , 2008, Journal of medical Internet research.

[2]  Maria Magdalena Bujnowska-Fedak,et al.  Use of telemedicine-based care for the aging and elderly: promises and pitfalls , 2015 .

[3]  Nilmini Wickramasinghe,et al.  A Review of User-Centered Design for Diabetes-Related Consumer Health Informatics Technologies , 2013, Journal of diabetes science and technology.

[4]  Adriana Alexandru,et al.  Enabling Assistive Technologies to Shape the Future of the Intensive Senior-Centred Care: A Case Study Approach , 2017 .

[5]  Wolfgang Lutz,et al.  World Population & Human Capital in the Twenty-first Century: An Overview , 2017 .

[6]  Cynthia LeRouge,et al.  User profiles and personas in the design and development of consumer health technologies , 2013, Int. J. Medical Informatics.

[7]  Ciprian Dobre,et al.  Big Data and Internet of Things: A Roadmap for Smart Environments , 2014, Big Data and Internet of Things.

[8]  M. Lawton A multidimensional view of quality of life in frail elders , 1991 .

[9]  Dirk Ruwaard,et al.  Profiling Patients’ Healthcare Needs to Support Integrated, Person-Centered Models for Long-Term Disease Management (Profile): Research Design , 2016, International journal of integrated care.

[10]  J. Cafazzo,et al.  Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study , 2012, Journal of medical Internet research.

[11]  Chris D. Nugent,et al.  Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments , 2014, Future Gener. Comput. Syst..

[12]  Kerry Chamberlain,et al.  On the structure of subjective well-being , 1988 .

[13]  T. Creer,et al.  Health-related quality-of-life assessment in medical care. , 1995, Disease-a-month : DM.

[14]  C. Nugent,et al.  Review of ICT-based services for identified unmet needs in people with dementia , 2007, Ageing Research Reviews.

[15]  J. Vaupel,et al.  Ageing populations: the challenges ahead , 2009, The Lancet.

[16]  Chris D. Nugent,et al.  A user profile ontology based approach for assisting people with dementia in mobile environments , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  Frank Sposaro,et al.  iWander: An Android application for dementia patients , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[18]  W. Sanderson,et al.  The coming acceleration of global population ageing , 2008, Nature.