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Translational Medicine and Patient Safety in Europe: TRANSFoRm--Architecture for the Learning Health System in Europe.
Delaney, Brendan C; Curcin, Vasa; Andreasson, Anna; Arvanitis, Theodoros N; Bastiaens, Hilde; Corrigan, Derek; Ethier, Jean-Francois; Kostopoulou, Olga; Kuchinke, Wolfgang; McGilchrist, Mark; van Royen, Paul; Wagner, Peter.
Afiliación
  • Delaney BC; King's College London, London SE1 3QD, UK.
  • Curcin V; King's College London, London SE1 3QD, UK.
  • Andreasson A; Karolinska Institutet, 14183 Stockholm, Sweden.
  • Arvanitis TN; University of Warwick, Coventry CV4 7AL, UK.
  • Bastiaens H; University of Antwerp, 2610 Antwerp, Belgium.
  • Corrigan D; Royal College of Surgeons of Ireland, Dublin 2, Ireland.
  • Ethier JF; INSERM, 6 Paris, France.
  • Kostopoulou O; King's College London, London SE1 3QD, UK.
  • Kuchinke W; University of Düsseldorf, 40225 Düsseldorf, Germany.
  • McGilchrist M; University of Dundee, Dundee DD2 4BF, UK.
  • van Royen P; University of Antwerp, 2610 Antwerp, Belgium.
  • Wagner P; Quintiles GmbH, 63263 Neu-isenberg, Germany.
Biomed Res Int ; 2015: 961526, 2015.
Article en En | MEDLINE | ID: mdl-26539547
ABSTRACT
UNLABELLED The Learning Health System (LHS) describes linking routine healthcare systems directly with both research translation and knowledge translation as an extension of the evidence-based medicine paradigm, taking advantage of the ubiquitous use of electronic health record (EHR) systems. TRANSFoRm is an EU FP7 project that seeks to develop an infrastructure for the LHS in European primary care.

METHODS:

The project is based on three clinical use cases, a genotype-phenotype study in diabetes, a randomised controlled trial with gastroesophageal reflux disease, and a diagnostic decision support system for chest pain, abdominal pain, and shortness of breath.

RESULTS:

Four models were developed (clinical research, clinical data, provenance, and diagnosis) that form the basis of the projects approach to interoperability. These models are maintained as ontologies with binding of terms to define precise data elements. CDISC ODM and SDM standards are extended using an archetype approach to enable a two-level model of individual data elements, representing both research content and clinical content. Separate configurations of the TRANSFoRm tools serve each use case.

CONCLUSIONS:

The project has been successful in using ontologies and archetypes to develop a highly flexible solution to the problem of heterogeneity of data sources presented by the LHS.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud / Investigación Biomédica Traslacional / Seguridad del Paciente / Modelos Teóricos Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Biomed Res Int Año: 2015 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud / Investigación Biomédica Traslacional / Seguridad del Paciente / Modelos Teóricos Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Biomed Res Int Año: 2015 Tipo del documento: Article País de afiliación: Reino Unido