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Call key data

Call for proposals on advancing the adoption of artificial intelligence in health

Funding Program

EU4Health programme 2021-2027

Call number

EU4H-2024-PJ-03-6

deadlines

Opening
16.09.2024

Deadline
21.01.2025 23:00

Funding rate

60-80 %

Call budget

€ 4,500,000.00

Estimated EU contribution per project

€ 4,500,000.00

Link to the call

ec.europa.eu

Link to the submission

ec.europa.eu

Call content

short description

The overarching objective of this project is to accelerate the safe deployment of AI systems in particular in clinical settings. One project is expected to be funded under this call.

Call objectives

The activities for this action should include the following actions:

  • a) the setting up and running of one or more communities of experts (e.g.,healthcare professionals who have experience in using/implementing AI in clinical practice and hospital managers who have experience in implementing AI solutions in healthcare organisations) and relevant stakeholders (e.g., developers of AI or AI based products and services, and patients) for delving into the potentials and challenges concerning AI deployment in clinical practice. In this respect, this should provide proposals on how to ensure sustainability of this expert community beyond the end of the project;
  • b) the analysis and identification of the factors that lead to the successful and less successful deployment of AI in healthcare as well as challenges and obstacles, in collaboration with the expert community or communities mentioned under point a) and taking into account existing studies and projects. Two particular areas of interest that should be included are AI in cancer and AI in remote areas and medical deserts;
  • c) the preparation of good deployment practices for AI in healthcare, recommendations and guidelines tailored to the needs of the specific users/environments in healthcare to accelerate the safe and effective deployment of AI in clinical practice in collaboration with the expert community or communities mentioned under point a) and taking into account existing studies and projects. This could include, e.g., how to address the diverse performance of AI systems in diverse clinical environments beyond reasons attributed to training/validation data and how the system was technically developed; how to address issues related to AI interaction with clinical workflows; obstacles related to ethical issues of AI in healthcare, AI-physician collaboration and impact on the doctor-patient relationship, as well analysis of risk of bias and how to address it.
  • d) the design, development, and execution of pilots to test and evaluate in diverse real-life environments the expert community(ies)’s developed good deployment practices, guidelines and recommendations. As part of the pilots, to analyse how clinical practice is changing with the incorporation of AI systems. Based on the findings from the pilot projects to update, if needed, the proposed good AI deployment practices and other recommendations and guidelines;
  • e) the development of user friendly interactive digital tool(s) that allows for the collection and communication of AI solutions successfully deployed in different clinical settings. The tool(s) should provide information on how the AI solutions are deployed to identify appropriate and useful information that should be indicated within the digital tool(s) that would be developed. The aim of such digital tool(s) is to engage relevant stakeholders and to support the formation of communities (e.g., develop contacts and, to enhance collaborations between the experts or healthcare professionals who are using AI tools in clinical practice or who are interested to the uptake of AI in their medical domain, to bring together healthcare centres using AI as well as those interested to deploy AI, to connect developers of AI with users of AI and enable patients to obtain valuable information on AI uses in clinical practice). These tools should be continuously fed with new updated information by the members of the community and other AI users. In this respect, the beneficiary should provide a proposal on how this system could be best updated and how to ensure sustainability of this system beyond the end of the project;
  • f) the organisation of workshops and communication activities (e.g., knowledge translation and dissemination of evidence-based practice/outcomes) addressed to different stakeholders (e.g., AI developers and users, hospital managers, the general public, patients). As part of these activities, to identify successful examples of AI deployment in healthcare and to provide an overview of these concrete success stories/good practices. These successful examples of AI deployment in healthcare should be displayed or included in the interactive digital tool mentioned in point (e) above. The beneficiary shall also produce other material (e.g., briefs, online campaigns) to explain and promote the safe, successful and trustful use of artificial intelligence in health to the relevant stakeholders and public;
  • g) the provision of a summary of lessons learned and recommendations for potential policy measures that would contribute to accelerating the safe and effective deployment of AI in clinical practice.

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Expected effects and impacts

The action is expected to:

  • create communities of experts with knowledge and experience on AI deployment in clinical settings;
  • identify challenges and accelerators of the safe and effective deployment of AI in clinical practice;
  • develop good AI deployment practices (e.g., appropriate incorporation of AI in clinical practice, ethics, etc.), guidelines and recommendations to speed up the safe and effective deployment of AI in health;
  • test and evaluate through pilot projects how good deployment practices, guidelines and recommendations benefit diverse environments and diverse populations (e.g., metropolitan and rural hospitals). As part of the pilots, to analyse how clinical practice is changing with the incorporation of AI systems;
  • expand knowledge on AI uses in medicine and develop trust on AI by both healthcare professionals and public including patients;
  • prepare healthcare systems for full-sale application of AI;
  • educate relevant actors (e.g., healthcare professionals, hospital managers, AI developers, patients) on the best use and practices of AI deployment in healthcare;
  • educate individuals including patients on AI uses for diagnosis, treatment and management of patients;
  • provide a reference interactive digital tool to collect and communicate best AI deployment practices in healthcare and foster collaborations and communities; and
  • inform policy makers on the best way to accelerate the safe and effective deployment of AI in clinical practice.

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Eligibility Criteria

Regions / countries for funding

EU Member States, Overseas Countries and Territories (OCT)
Moldova (Moldova), Iceland (Ísland), Montenegro (Црна Гора), Norway (Norge), Ukraine (Україна)

eligible entities

Education and training institution, Non-Profit Organisation (NPO) / Non-Governmental Organisation (NGO), Other, Private institution, incl. private company (private for profit), Public Body (national, regional and local; incl. EGTCs), Research Institution incl. University, Small and medium-sized enterprise (SME)

Mandatory partnership

Yes

Project Partnership

Proposals must be submitted by a consortium of at least 3 applicants (beneficiaries; not affiliated entities), which complies with the following conditions: minimum 3 entities from 3 different eligible countries.

In order to be eligible, the applicants (beneficiaries and affiliated entities) must:

  • be legal entities (public or private bodies)
  • be established in one of the eligible countries, i.e.:
    • EU Member States (including overseas countries and territories (OCTs
    • eligible non-EU countries: listed EEA countries and countries associated to the EU4Health Programme (list of participating countries)

Other entities may participate in other consortium roles, such as associated partners, subcontractors, third parties giving in-kind contributions, etc.

Applicants should be:

  • Academia and education establishments,
  • research institutes,
  • hospitals,
  • expert networks including ERNs,
  • civil society organisations: associations, foundations, NGOs and similar entities,
  • enterprises (incl. social enterprises and not for profit) in the field of public health, private entities (for profit/not for profit), public authorities (public health, etc.).

Financial support to third parties is not allowed.

other eligibility criteria

Specific cases:

Natural persons — Natural persons are NOT eligible (with the exception of self-employed persons, i.e. sole traders, where the company does not have legal personality separate from that of the natural person).

International organisations — International organisations are eligible. The rules on eligible countries do not apply to them.

Entities without legal personality — Entities which do not have legal personality under their national law may exceptionally participate, provided that their representatives have the capacity to undertake legal obligations on their behalf, and offer guarantees for the protection of the EU financial interests equivalent to that offered by legal persons.

EU bodies — EU bodies (with the exception of the European Commission Joint Research Centre) can NOT be part of the consortium.

Associations and interest groupings — Entities composed of members may participate as ‘sole beneficiaries’ or ‘beneficiaries without legal personality’. Please note that if the action will be implemented by the members, they should also participate (either as beneficiaries or as affiliated entities, otherwise their costs will NOT be eligible).

European Reference Networks (ERNs) — These cover networks between healthcare providers and centres of expertise in the Member States to reinforce healthcare cooperation, in particular in the area of rare diseases, in line with the objectives set out in Article 12 of Directive 2011/24.

The costs will be reimbursed at the funding rate fixed in the Grant Agreement (60%). You can apply for a higher project funding rate (80%) if your project is of
‘exceptional utility’, i.e. concerns:

  • actions where at least 30 % of the budget is allocated to Member States whose GNI per inhabitant is less than 90% of the EU average or
  • actions with bodies from at least 14 Member States and where at least four are from Member States whose GNI per inhabitant is less than 90% of the EU average.

Additional information

Topics

Digitalisation, Digital Society, ICT, 
Health, Social Services, Sports

Relevance for EU Macro-Region

EUSAIR - EU Strategy for the Adriatic and Ionian Region, EUSALP - EU Strategy for the Alpine Space, EUSBSR - EU Strategy for the Baltic Sea Region, EUSDR - EU Strategy for the Danube Region

UN Sustainable Development Goals (UN-SDGs)

project duration

between 36 and 48 months

Additional Information

Proposals must be submitted electronically via the Funding & Tenders Portal Electronic Submission System (accessible via the Topic page in the Search Funding & Tenders section). Paper submissions are NOT possible. Proposals (including annexes and supporting documents) must be submitted using the forms provided inside the Submission System.

Proposals must be complete and contain all the requested information and all required annexes and supporting documents:

  • Application Form Part A — contains administrative information about the participants (future coordinator, beneficiaries and affiliated entities) and the summarised budget for the project (to be filled in directly online)
  • Application Form Part B — contains the technical description of the project (to be downloaded from the Portal Submission System, completed and then assembled and re-uploaded)
  • mandatory annexes and supporting documents (templates available to be downloaded from the Portal Submission System, completed, assembled and re-uploaded):
    • detailed budget table/calculator
    • CVs (standard) of core project team
    • list of previous projects (key projects for the last 4 years) (template available in Part B)

Proposals are limited to maximum 70 pages (Part B). Evaluators will not consider any additional pages.

Call documents

Call document EU4H-2024-PJ-03Call document EU4H-2024-PJ-03(1331kB)

Contact

HaDEA- EU4 Health
HaDEA-HP-CALLS@ec.europa.eu
Website

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