Project description
New software makes health data easy to transfer
Patient information systems track individual health problems over time, giving insight into optimal diagnosis and treatment of the individual as well as improving the delivery of services. While countries in Europe are moving away from paper-based systems for health data collection, the e-health architecture is still evolving in terms of software platforms and data exchange. The EU-funded KiCloud project is developing a serverless and cloud-based software product that promotes data transfer and processing. It will allow for dramatic cost and time reductions by applying deep learning using artificial intelligence (AI) to support specialists im medical diagnosis. In the long term, the project plans to open KiCloud up to the entire hospital diagnostics market to boost medical diagnosis.
Objective
44% of all EU hospitals spend >1 hour per day on repetitive administrative tasks by printing and scanning medical diagnostics data for collection in the patient´s electronic records (EMR). The main reason for this is lack of data transfer possibility from stand-alone systems and failing compatibility of software systems to connect the wide variety of diagnostic hard- and software products. Even when such data transfer software is available, cloud options are not supported and it is too costly to have small players (e.g. hardware producers and clinics) benefit from it. As a consequence, extra manual labour is induced, and potentially crucial data is lost due to the less detailed scans in the EMR.
We are Devimetrix S.L. and have launched our Kiversal series in 2019 with the mission to connect all medical diagnostic devices into one medical infrastructure applying IoT approaches. Since then, we have launched a high-connectivity audiometer and are in the process of certifying and launching a spirometer for lung diagnostics. To connect these devices, we are developing KiCloud that forms the basis of our connected approach. KiCloud is a serverless and cloud-based software product that promotes data transfer and processing, and applies deep learning (AI) to support specialists in medical diagnosis.
KiCloud is initially offered to the audiologic and respiratory diagnostic market, in which hospitals and audiological centres profit from more efficient healthcare by secure, resilient and fast data handling and processing. As a result, patients benefit from higher quality healthcare and reductions in waiting times and process times due to increased productivity of health professionals. Later, we plan on opening KiCloud up to the entire hospital diagnostics market. Successful deployment of KiCloud by 2022 will result in >15 new positions within Devimetrix and a 15% efficiency boost in medical diagnosis, allowing for dramatic cost and time reductions.
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.
- natural sciences computer and information sciences internet internet of things
- natural sciences computer and information sciences software software applications system software
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-1 - SME instrument phase 1
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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-EIC-SMEInst-2018-2020
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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.
08036 BARCELONA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.