Objective
Balancing between improving population health, delivering quality care for individuals, and containing costs is a timely social/economical challenge in Europe. There is great potential achieving this through healthcare (HC) system performance intelligence optimizing effective use of available HC data in countries. Effective implementation of HC performance intelligence (HPI) by skilled professionals will improve integrated service delivery; patient engagement; equality in access to HC; health outcomes; and reduce waste in HC. Translating HC data into meaningful, valid, actionable performance intelligence that is transferrable into actions to improve HC systems requires multidisciplinary skills & innovative competencies; currently not well developed in training programmes and the scientific community and missing in today’s European HC market. The ETN for HPI Professionals (HealthPros) fills this gap and directly impacts the European Research Area by training innovative “Healthcare Performance Intelligence Professionals” uniting a multidisciplinary consortium tackling private, public, academic sectors.13 ESRs will be trained in multidisciplinary innovative scientific technical and complementary skills, seconded to private / public / academic HC sectors in multiple countries and build relations with potential future employers. 5 ESRs work on PhD projects related to HC performance measurement optimizing the use of available registry and administrative data and applying statistical models to provide actionable input to HC performance management. 4 ESRs work on PhDs to translate performance intelligence into value-creating HC governance mechanisms; 4 ESRs work on PhDs aimed to impact the actual use of performance intelligence by different end-users. ESRs will have unique HC data access.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- natural sciences mathematics applied mathematics statistics and probability
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-ITN-ETN - European Training Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1105 AZ Amsterdam
Netherlands
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Participants (7)
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9220 Aalborg
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20095 Hamburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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GU2 7XH Guildford
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56127 Pisa
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1093 Budapest
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1105AZ Amsterdam
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OX1 2JD Oxford
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Partners (11)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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3721 MA BILTHOVEN
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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8000 Aarhus C
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Hamburg
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Dundee
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Birmingham
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Roma
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Ottawa
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Toronto
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Budapest
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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37073 GOTTINGEN
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Pisa
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