Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services

Christel Daniel, David Ouagne, Eric Sadou, Kerstin Forsberg, Mark Mc Gilchrist, Eric Zapletal, Nicolas Paris, Sajjad Hussain, Marie-Christine Jaulent, Dipka Kalra

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the development of platforms enabling the use of routinely collected clinical data in the context of international clinical research, scalable solutions for cross border semantic interoperability need to be developed. Within the context of the IMI EHR4CR project, we first defined the requirements and evaluation criteria of the EHR4CR semantic interoperability platform and then developed the semantic resources and supportive services and tooling to assist hospital sites in standardizing their data for allowing the execution of the project use cases. The experience gained from the evaluation of the EHR4CR platform accessing to semantically equivalent data elements across 11 European participating EHR systems from 5 countries demonstrated how far the mediation model and mapping efforts met the expected requirements of the project. Developers of semantic interoperability platforms are beginning to address a core set of requirements in order to reach the goal of developing cross border semantic integration of data.

    Original languageEnglish
    Title of host publicationProceedings AMIA Joint Summits on Translational Science 2016
    PublisherAmerican Medical Informatics Association
    Pages51-59
    Number of pages9
    Volume2016
    Publication statusPublished - 20 Jul 2016
    Event2016 Joint Summits on Translational Science - Parc 55 Hotel, San Francisco, United States
    Duration: 21 Mar 201624 Mar 2016
    https://www.amia.org/jointsummits2016

    Conference

    Conference2016 Joint Summits on Translational Science
    Country/TerritoryUnited States
    CitySan Francisco
    Period21/03/1624/03/16
    Internet address

    Keywords

    • Journal article

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