The official EHDEN release is below, as well as pertinent contact information for data networks ready to collaborate on this exciting project. Its main objective is to address the current challenges in generating insights and evidence from real-world clinical data at scale, to support patients, clinicians, payers, regulators, governments, and the pharmaceutical industry in better understanding well-being, disease, treatments, outcomes and new therapeutics and devicesthrough a federated network of many million patient data records. We aim to standardise more than million patient records across Europe from different geographic areas and different data sources over the coming five years. Mapping of healthcare data to the OMOP-CDM will facilitate the re-use for a variety of purposes, enhancing and accelerating research and healthcare decision-making for global benefit. If this exciting prospect interests you, please contact us via applicants ehden. Introduce Yourself! I Feb. From 15 July — 15 August , the call description is available for public review. This enables the EHDEN project to optimise the procedures and to clarify the pilot call text if deemed necessary.
Are you an EHDEN data partner?
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects. WhiteRabbit is a small application that can be used to analyse the structure and contents of a database as preparation for designing an ETL. Web application for generating a database dashboard as part of the database catalogue. Usagi is an application to help create mappings between coding systems and the Vocabulary standard concepts. Issue tracking for the Database Catalogue Development. Skip to content. Sign up.
Optimized study design, precise site selection and faster patient search and identification for clinical research - in real time. Today, in Europe, we are challenged to generate insights and evidence from real-world clinical data at scale, to support patients, clinicians, payers, regulators, governments, and the pharmaceutical industry in understanding wellbeing, disease, treatments, outcomes and new therapeutics and devices. Unfortunately, such data is difficult to use at scale, in a myriad of languages, systems and structures, with challenging policy restrictions and technology considerations. Consequently, using real-world data for research, reflective of what happens for patients in their own experience of healthcare, is very challenging and every day, patients are suffering or dying because we are not able to tap into the transformational potential of real-world data. In response to this, the EHDEN project was launched as a public-private partnership under the framework of IMI2 Innovative Medicines Initiative , with eleven public partners, led by Erasmus Medical Centre, Rotterdam NL, and eleven pharmaceutical partners, led by Janssen Pharmaceutica, Belgium, working together as a consortium, responding to this need.
Our team's expertise and significant experience will ensure the successful transformation of your data and the creation of an OHDSI analytical infrastructure. These services include. The project used OMOP as the data repository and included diagnostic, procedural, lab and medication data. Using OMOP to unify multiple medical data sources into a single database, providing population health analytics on 0. Using an OMOP database as the source for a project that combined social determinant data with clinical data. Solutions By Application Business intelligence Disease registries Population health analytics Public health surveillance Recruitment for clinical trials.