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Development of advanced AI algorithms for remote patient monitoring

Project description

AI brings doctors into patients’ homes

Traditional remote patient monitoring involves cumbersome integrations with medical devices, often rendering the service impractical and complex. The landscape of remote patient monitoring is about to change. The EU-funded Doctomatic project introduces an innovative, device-agnostic AI-powered software-as-a-service, or SaaS, platform. By simply downloading an app, patients can effortlessly share data from any domestic medical device with their doctors. This user-friendly technology not only accelerates critical health information access but also enhances treatment optimisation and cost efficiency. With a mission to utilise AI as a preventive healthcare tool, Doctomatic aims to revolutionise patient care while alleviating strain on healthcare systems. By detecting conditions early, Doctomatic aims to minimise chronic illnesses and their associated complications.

Objective

Current standard of care of remote patient monitoring solutions require painful integrations with medical devices that make the service tough to handle and inoperable at some points.
Doctomatic offers an innovative device & condition agnostic AI-powered SaaS platform. By just downloading an app, patients can scan the results from any domestic medical device and automatically provide the data to their doctors.
It's a simple to use technology which accelerates access to critical health information guaranteeing optimisation & cost efficacy of patient treatment.
Doctomatic’s mission is to both save lives using AI as a preventative healthcare tool whose data is transformed into a personalised early detection system and remove the burden of our saturated healthcare systems by extending the clinician’s reach to the patients’ home. Our technology ensures conditions are detected prior to them worsening and reduces both chronic conditions and associated comorbidities.
Doctomatic is seeking Women TechEU funding to further develop and advance its AI algorithms so as to improve its current performance, increase its device reach and impact more patient's lives.

Keywords

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Programme(s)

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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.

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-CSA - HORIZON Coordination and Support Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EIE-2022-SCALEUP-02

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Coordinator

DOCTOMATIC SL
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.

€ 75 000,00
Address
SANT ANTONI MARIA CLARET 167
08025 Barcelona
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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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
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