CHESS | Connected Health Early Stage Researcher Support System

Summary
Changing demographics and increasing pressure on health related resources mean that new models of care must be found. Fortunately, technology developments and increasing digital literacy mean that we can now put the correct information in the correct hands at the correct time. This is connected health and it allows patients, clinicians, and planners to make better decisions. Ultimately, these decisions can save lives, save money and ensure a better quality of life for the patient during and after treatment.

Connected Health is an emerging market and an emerging science. It requires “t-shaped” individuals with deep disciplinary expertise allied to a broad understanding of a variety of domains including business, economics, life science, health science, computer science, social science and engineering. Current research and training programmes in Europe do not address this need and adoption of Connected Health solutions and practices is limited as a result. CHESS will develop connected health scientists and champions who have a broad understanding of multiple domains, who can communicate in an interdisciplinary world and who can operate across the education, industry, health and policy sectors.

CHESS will include intersectoral secondments, interdisciplinary communication skills, public engagement and outreach with particular focus on patient, clinician and policy-maker audiences. This will build on the programme of interrelated core research projects which will address gaps in the knowledge and evidence base for Connected Health in terms of health economics, use of big data, personal sensing, business modelling, navigating markets and ecosystems, change management and user-led design.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/676201
Start date: 01-09-2015
End date: 31-08-2019
Total budget - Public funding: 3 950 971,20 Euro - 3 950 971,00 Euro
Cordis data

Original description

Changing demographics and increasing pressure on health related resources mean that new models of care must be found. Fortunately, technology developments and increasing digital literacy mean that we can now put the correct information in the correct hands at the correct time. This is connected health and it allows patients, clinicians, and planners to make better decisions. Ultimately, these decisions can save lives, save money and ensure a better quality of life for the patient during and after treatment.

Connected Health is an emerging market and an emerging science. It requires “t-shaped” individuals with deep disciplinary expertise allied to a broad understanding of a variety of domains including business, economics, life science, health science, computer science, social science and engineering. Current research and training programmes in Europe do not address this need and adoption of Connected Health solutions and practices is limited as a result. CHESS will develop connected health scientists and champions who have a broad understanding of multiple domains, who can communicate in an interdisciplinary world and who can operate across the education, industry, health and policy sectors.

CHESS will include intersectoral secondments, interdisciplinary communication skills, public engagement and outreach with particular focus on patient, clinician and policy-maker audiences. This will build on the programme of interrelated core research projects which will address gaps in the knowledge and evidence base for Connected Health in terms of health economics, use of big data, personal sensing, business modelling, navigating markets and ecosystems, change management and user-led design.

Status

CLOSED

Call topic

MSCA-ITN-2015-ETN

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.1. Fostering new skills by means of excellent initial training of researchers
H2020-MSCA-ITN-2015
MSCA-ITN-2015-ETN Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN)