Europe is generating huge amounts of patient-level information contained in Electronic Health Record (EHR) systems and other types of health databases. These include structured data in the form of diagnoses, medications, laboratory test results, etc., and unstructured data in clinical narratives. The Electronic Health Data in a European Network (EHDEN) Consortium leverages these vast volumes of data to improve future clinical practice and individual patient outcomes by increasing our understanding of disease and treatment pathways. EHDEN will galvanize transparent and reproducible analytics that will generate valid real-world evidence to improve patient care, and enable medical outcomes-based research at an unprecedented scale. The EHDEN Consortium provides the infrastructure and eco-system supporting disease-specific projects in the IMI Big Data for Better Outcomes (BD4BO) programme. The core of EHDEN is the use of a common data model (OMOP-CDM), standardised outcome assessment (ICHOM), and transparent open-source analytics (OHDSI). The objective of the EHDEN consortium is to provide all the necessary services that enable a distributed European data network to perform fast, scalable and highly reproducible research, while respecting privacy regulations, local data provenance and governance. This will include services and tools to perform data standardization, analytical pipelines, tools to share study results, and tools for stakeholder engagement and training. The EHDEN Consortium combines active participation of stakeholder representatives with proven experience in: a) integrating different data types, methods and technologies to utilize diverse clinical datasets; b) platform development to make methods and datasets Findable, Accessible, Interoperable and Reusable (FAIR); and c) engaging a wide variety of stakeholders, including health technology assessment agencies, regulators and patients.
Deliverables
List of deliverables.
Report on SME Certification Procedure and Data Source Grant Awarding Procedure developed and implemented
Documents, reports
2020-04-10 23:45:23
Stakeholder mapping
Documents, reports
2020-04-10 23:45:23
First version of the Framework for quality benchmarking
Documents, reports
2020-04-10 23:45:23
Yearly Progress report on technical framework (1)
Documents, reports
2020-04-10 23:45:23
First Report on the implementation of the analytical pipeline for personalized medicine
Documents, reports
2020-04-10 23:45:23
Technical framework design and architecture
Documents, reports
2020-04-10 23:45:23
ICHOM standards defined using OMOP terminology
Documents, reports
2020-04-10 23:45:23
Selected priority therapeutic areas
Documents, reports
2020-04-10 23:45:23
Selection of use cases for personalized medicine
Documents, reports
2020-04-10 23:45:23
Ethics Advisory Board nomination
Documents, reports
2020-04-10 23:45:23
Report on key data source/s of interest for WP1 Use Cases
Reisberg Sulev Developing Computational Solutions for Personalized Medicine. published pages: , ISSN: , DOI:
27/06/2019
2020-04-10
2019
Edward Burn, James Weaver, Daniel Morales, Albert Prats-Uribe, Antonella Delmestri, Victoria Y Strauss, Ying He, Danielle E Robinson, Rafael Pinedo-Villanueva, Spyros Kolovos, Talita Duarte-Salles, William Sproviero, Dahai Yu, Michel Van Speybroeck, Ross Williams, Luis H John, Nigel Hughes, Anthony G Sena, Ruth Costello, Belay Birlie, David Culliford, Caroline O\'Leary, Henry Morgan, Theresa Burkar Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study published pages: e229-e236, ISSN: 2665-9913, DOI: 10.1016/s2665-9913(19)30075-x
The Lancet Rheumatology 1/4
2020-04-10
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The information about "EHDEN" are provided by the European Opendata Portal: CORDIS opendata.
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