Objective
Medication errors are the most common cause of adverse events in medication practice, although they are preventable. Only in Europe, prescription error rates range from 7.5% to 9.1% of the total managed medicines, representing a major public health issue, as some of those can even be fatal. They also represent a great economic burden to healthcare systems, with annual costs reaching €4.5B to €21.8B depending on the country. MedAware’s founders decided to take action on the theme in 2012, when they found out that a nine-year-old boy died simply because his primary care physician accidentally selected the wrong drug, on his electronic prescribing pull-down list. By realising that current solutions completely failed to save this boy, the team started developing several proof-of-concept algorithms that became our first prototype and then MedAS (MedAware Alerting System). MedAS is an innovative patient-specific Clinical Decision Support System, that identifies and alerts on prescription errors in real-time, and with greater than 80% accuracy. It utilizes big-data analytics and advanced machine learning to identify statistical outliers and to generate precise alerts that would otherwise be missed by existing CDSS. MedAS’s effectiveness has already been proven both in retrospective trials and in real medical facilities in Israel and the USA: we improved patient safety, outcomes, and experience while dramatically reducing healthcare costs. Enabled by our next generation technology and given MedAS’s unique capabilities, we now intend to build a solid technology platform and to deploy it to the European market. The main objective of the feasibility study is to assess MedAS from technical, commercial and financial perspectives. We will seize the opportunity to enter the constantly growing CDSS market (€51.8M in Europe by 2018) with our novel technology and platform, and estimate revenues of €22.1M by 2024, with a ROI of 8.9
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.
- medical and health sciences health sciences public health
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences artificial intelligence machine 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.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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-SMEInst-2016-2017
See all projects funded under this callCoordinator
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.
4366238 RAANANA
Israel
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.