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Actionable Performance Intelligence towards Health and Care Systems for People, Planet, and Prosperity

Project description

Innovative training in actionable health performance intelligence

We need to improve health and care systems to reduce health inequalities, better protect health professionals, and minimise financial and environmental waste. Therefore, actionable health performance intelligence must be accessible to and used by all relevant decision-makers in the system. With the support of the Marie Skłodowska-Curie Actions programme, the HealthIntelAct project aims to train new professionals working across sectors to use existing data to generate practical performance insights. It seeks to empower decision-makers to enhance the impact of health and care systems. Fifteen PhD fellows will develop new methods to assess health and care systems, create tools to understand health data, and evaluate the practical use of healthcare performance intelligence. The insights developed could improve health equity and access to care.

Objective

BACKGROUND: There is an urgent need to improve health and care systems in a way that health inequalities are reduced, health professionals are better protected, and financial & environmental waste are minimised. To do so, actionable health performance intelligence has to be available to and used by all relevant decision-makers in the system. CONSORTIUM: In this Industrial Doctorate, health and care system decision-makers (policymakers, purchasers, managers, health professionals, patients and citizens) join forces with scientific experts from a wide array of disciplines (e.g. data science, clinical science, systems science, planetary health, health economics, citizen science). AIM: By training a next generation of professionals that leverage existing data across society to co-create actionable performance intelligence with users, HealthIntelAct aims to empower decision-makers to strengthen health and care systems’ positive impact on people, planet, and prosperity. WORKPLAN: Via training-through-research and co-creation with different sectors, 15 PhD fellows will develop new methods to measure health and care systems’ people-centredness, environmental sustainability, and impact on prosperity. They will develop tools to improve the interpretation of health data and embedding of intelligence in governance, and develop strategies to apply intelligence in decision-making processes. Finally, they will develop instruments to evaluate the use of healthcare performance intelligence in practice. IMPACT: The actionable performance intelligence developed during the project has large potential to lead to improved health equity and access to care, improved worker satisfaction, and reduced financial and environmental waste in health and care systems. After HealthIntelAct, our fellows will be well positioned to pursue careers in academia (health services research, data science), government (health policy), healthcare (quality assurance), and commercial business (IT, data analysis).

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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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.

HORIZON-TMA-MSCA-DN-ID - HORIZON TMA MSCA Doctoral Networks - Industrial Doctorates

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-DN-01

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Coordinator

STICHTING AMSTERDAM UMC
Net EU contribution

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.

€ 823 111,20
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (6)

Partners (34)

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