Observatorio de I+D+i UPM

Memorias de investigación
Research Project:
EURECA: Enabling information re-Use by linking clinical REsearch and CAre
Year:2012
Research Areas
Information
Abstract
EURECA aims to build an advanced, standards-based and scalable semantic integration environment enabling seamless, secure and consistent bi-directional linking of clinical research and clinical care systems to: 1.Support more effective and efficient execution of clinical research by Allowing faster eligible patient identification and enrolment in clinical trials, Providing access to the large amounts of patient data, Enabling long term follow up of patients, Avoid the current need for multiple data entry in the various clinical care. 2. Allow data mining of longitudinal EHR data for early detection of patient safety issues related to therapies and drugs that would not become manifest in a clinical trial either due to limited sample size or to limited trial duration, 3. Allow for faster transfer of new research findings and guidelines to the clinical setting (from bench-to-bedside), 4. Enable healthcare professionals to extract in each patient¿s case the relevant data out of the overwhelmingly large amounts of heterogeneous patient data and treatment information. At the core of the project will be achieving semantic interoperability among EHR and clinical trial systems, consistent with existing standards, while managing the various sources of heterogeneity: technology, medical vocabulary, language, etc. This requires the definition of sound information models describing the EHR and the clinical trial systems, and capturing the semantics of the clinical terms by standard terminology systems. The scalability of the solution will be achieved by modularization, identifying core data subsets covering the chosen clinical domains. We aims to build an advanced, standards-based and scalable semantic integration environment enabling seamless, secure and consistent bidirectional linking of clinical research and clinical care systems to: 1.Support more effective and efficient execution of clinical research by Allowing faster eligible patient identification and enrolment in clinical trials, Providing access to the large amounts of patient data, Enabling long term follow up of patients, Avoid the current need for multiple data entry in the various clinical care. 2. Allow data mining of longitudinal EHR data for early detection of patient safety issues related to therapies and drugs that would not become manifest in a clinical trial either due to limited sample size or to limited trial duration, 3. Allow for faster transfer of new research findings and guidelines to the clinical setting (from bench-to-bedside), 4. Enable healthcare professionals to extract in each patient¿s case the relevant data out of the overwhelmingly large amounts of heterogeneous patient data and treatment information. At the core of the project will be achieving semantic interoperability among EHR and clinical trial systems, consistent with existing standards, while managing the various sources of heterogeneity: technology, medical vocabulary, language, etc. This requires the definition of sound information models describing the EHR and the clinical trial systems, and capturing the semantics of the clinical terms by standard terminology systems. The scalability of the solution will be achieved by modularization, identifying core data subsets covering the chosen clinical domains. We demonstrate and validate concepts developed in EURECA by implementing a set of software services and tools that we deploy in the context of pilot demonstrators. EURECA will develop solutions that fulfill the data
International
Si
Project type
Proyectos y convenios en convocatorias públicas competitivas
Company
Comisión Europea
Entity Nationality
BELGICA
Entity size
Grande
Granting date
22/12/2011
Participants
  • Participante: Sergio Paraiso Medina (UPM)
  • Participante: Raul Alonso Calvo (UPM)
  • Participante: Andrea Klemm . (UPM)
  • Director: Victor Manuel Maojo Garcia (UPM)
  • Participante: Jose Crespo Del Arco (UPM)
  • Participante: Jose Maria Barreiro Sorrivas (UPM)
  • Participante: Diana De la Iglesia Jimenez (UPM)
  • Participante: Alberto Anguita Sanchez (UPM)
  • Participante: Miguel Garcia Remesal (UPM)
  • Participante: David Perez Del Rey (UPM)
  • Participante: Andres Silva Vazquez (UPM)
  • Participante: Angel Lucas Gonzalez Martinez (UPM)
  • Participante: Aurora Perez Perez (UPM)
  • Participante: Máximo Ramirez Robles (UPM)
  • Participante: Fernando Alonso Amo (UPM)
  • Participante: Martin Molina Gonzalez (UPM)
  • Participante: Santiago Aso Lete (UPM)
Research Group, Departaments and Institutes related
  • Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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