Medication errors occur daily and form a major burden to society. Medication errors often lead to adverse drug reactions, lengthened hospital stays, increased healthcare costs, and in the most severe cases, increased mortality. Medication errors pose a significant risk to the European population. It is estimated that 4,7 million Europeans are harmed by a medication error every year, which amounts to preventable healthcare costs in excess of €11 billion a year. Strikingly, around 50% of medication errors can be stopped at the patient’s bedside. MedEye is an innovative medication verification suite that scans, detects and verifies medication at the bedside. MedEye stops medication errors from taking place by verifying medication before it is administered to patients. MedEye has already been tested and validated in three Dutch hospitals with excellent results. In this project, activities will be performed to push MedEye onto the European market and facilitate its deployment on a large scale. MedEye will be integrated with IT systems that serve a major part of European medical centers. Developments will also be performed to enable the sale, deployment and support of MedEye through distributors. Two launching pilots will be performed to establish transnational proof of performance and cost-effectiveness, which will be instrumental in penetrating the European markets. Given the diversity of the European healthcare landscape, a thorough market research will be performed to gear the commercialization strategy towards individual countries. Together, the activities in this project will provide access to the main EU market and facilitate a wide deployment of MedEye throughout Europe.

Our proposal will address the challenge of bringing personalised medicine into routine use in EU healthcare systems for diagnosis and treatment of common infectious and inflammatory diseases, which account for a up to a third of all medical encounters in primary care and hospital. The diagnostic process in clinical medicine has been based on recognition of a constellation of symptoms and clinical signs, supported by laboratory tests. However, a definitive diagnosis is currently made in only a minority of patients presenting to healthcare with suspected infection or inflammation. We have previously shown that individual infectious and inflammatory diseases are characterised by unique patterns of host gene expression, and that diagnosis of individual diseases can be based on small numbers of uniquely expressed genes. We propose a new diagnostic classification of infectious and inflammatory diseases, based on the discriminatory ability of a minimal set of genes, which is able to distinguish all common conditions simultaneously, an approach we call Personalised Molecular Signature Diagnosis (PMSD). In partnership with 22 hospitals in 11 EU countries, and biotechnology groups in academia, SMEs and industry, we will develop a device to detect genes required for PMSD. We will then undertake a large-scale pilot demonstration in diverse healthcare settings in Europe, to establish the benefit to patients, reduction in healthcare resource use, cost effectiveness and acceptability to patients and carers, of PMSD.

As recognized by the Council Recommendation 2009/C 151/02, rare diseases (RD) are a prime example of a research area that can strongly profit from coordination on a European and international scale. RD research should be improved to overcome fragmentation, leading to efficacious use of data and resources, faster scientific progress and competitiveness, and most importantly to decrease unnecessary hardship and prolonged suffering of RD patients. In the specific context of the massive generation, need for reuse and efficient interpretation of data, introduction of omics into care practice and the structuration of RD care centers in European Reference Networks, it appears crucial and timely to maximize the potential of already funded tools and programmes by supporting them further, scaling up, linking, and most importantly, adapting them to the needs of end-users through implementation tests in real settings. Such a concerted effort is necessary to develop a sustainable ecosystem allowing a virtuous circle between RD care, research and medical innovation. To achieve this goal, the European Joint Programme on RD (EJP RD) has two major objectives: (i) To improve the integration, the efficacy, the production and the social impact of research on RD through the development, demonstration and promotion of Europe/world-wide sharing of research and clinical data, materials, processes, knowledge and know-how; (ii) To implement and further develop an efficient model of financial support for all types of research on RD (fundamental, clinical, epidemiological, social, economic, health service) coupled with accelerated exploitation of research results for benefit of patients. To this end, the EJP RD actions will be organized within four major Pillars assisted by the central coordination: (P1): Funding of research; (P2): Coordinated access to data and services; (P3) Capacity building; (P4): Accelerated translation of research projects and improvement outcomes of clinical studies.

ConcePTION partners have united around a shared vision that we have a societal obligation to radically and rapidly reduce uncertainty about the safety of medication use in pregnancy and lactation. What do we deliver? ConcePTION aims to create a paradigm shift in how we study medication safety in pregnancy. We will establish (1) a successful, sustainable open-science based EU non-proprietary ecosystem of public and private stakeholders, pregnant women and researchers to generate and disseminate timely and reliable evidence on drugs across maternal, neonatal and long term outcomes of medication exposure in pregnancy and breastfeeding (2) a catalogue with fully characterized data sources for rapid selection of suitable data sources; 3) operational, business, network, information and data governance models, (4) quality assured and tested methodological approaches, analytical tools and data platforms allowing for distributed analyses, (5) procedures and tools for collection of digital data and samples directly from pregnant women, (6) In vitro, in silico and in vivo models for prediction of drug transfer in human milk, (7) a biobank and analytical network for quantification of drug in human milk, (8) best practice documents endorsed by regulators and health authorities and (9) a web-based drug information knowledge bank. How do we deliver? (1) Experienced leaders, able to manage challenging networks and public-public or public-private partnerships. (2) Defragmentation by connecting all key stakeholders and EU networks in this area. (3) Re-use of data, tools and foreground from prior European commission funded projects. (4) Connecting to leaders of similar initiatives in the USA, Canada, Asia and other parts of the world. (5) Systematic consensus & endorsement building. (6) Quality throughout as a precondition to trust the results and information by all users.