Against the background of the fact that the use of telemedicine services is still limited and the market for devices remains highly fragmented, despite the potential benefits and the technical maturity of many applications, the study explores the European space in terms of the deployment of ICT-enabled care services, to learn from successful examples, and to adapt policies and incentive structures.
In an effort to address these needs, the study demonstrates the gains in promoting the de-ployment of home care services using ICT and facilitate the exchange of good practices. The study develops the following key outputs: a consistent, rigorous, and realistic conceptual and methodological design of the study, including clustering of models of long-term care, a choice of 10 national cases, and the structure of a scoreboard on innovation, a scoreboard on the openness to innovation of national models of long-term care in the area of ICT-enabled home care services, set up around a set of macro-categories related to the openness to innovation, a validation workshop of one day, informing relevant stakeholders and experts about, and collecting their views on the interim study findings, as well as more general views, especially on current and future developments in the area of the study and policy implications, a set of analysed good practices in innovative, ICT-enabled of home care services for older people with chronic diseases, covering all six macro-categories of the scoreboard, and several clusters of national long-term care models, a set of relevant, well grounded, and clear policy recommendations, supporting further policy developments at European level to promote the deployment of ICT-enabled home care services, their ongoing monitoring, and the exchange and transferability of good practices across Europe, and adequate promotion of the main findings of the study.
The project covers all EU Member States with more intensive activities in 10 countries to be supported by experts and national correspondents from empirica’s ENIR network
