Scaling-Up Of Ict Solutions In Active And Healthy Ageing Through Twinning Actions
ICT4AWE 2019: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH(2019)
Empir Gesell Kommunikat & Technol Forsch mbH
Abstract
Despite an increase in life expectancy in today's rapidly ageing society, unhealthy life years still make up a big portion of a person's life. Digital innovations in health and care services need to be scaled up to enable more citizens to access and lead healthy, active and independent lives while ageing. Under the EU funded ScaleAHA study, a twinning scheme was conducted to scale up ICT solutions in active and healthy ageing. Forty-three organisations from thirteen European countries have successfully participated in financed twinning actions ranging from knowledge exchange and training to full adoption and acquisition of an innovative practice. Twinning topics included EHRs, ePrescription solutions, integrated health and social care ICT service platforms, and homecare and telemonitoring solutions, among others. The twinning scheme was a new concept that aimed to de-risk investment in innovative ICT solutions by financing small but concrete ideas with high potential for replicability and scaling up. The twinnings led to benefits for the participating organisations themselves as well as various stakeholders such as patients and their carers, healthcare providers and regional authorities. This paper presents the results and lessons learnt from the twinning scheme and recommendations to further refine future twinning actions.
MoreTranslated text
Key words
ICT, Active and Healthy Ageing, Scaling-up Strategy, Digital Innovation, Twinnings
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined