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Clinical Data Integration Strategies for Multicenter Studies

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Technological Innovation for Connected Cyber Physical Spaces (DoCEIS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 678))

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Abstract

Multicenter health studies are important to enrich the outcomes of medical research findings due to the number of subjects that they can engage. To simplify the execution of these studies, the data-sharing process should be effortless, for instance, using interoperable databases. However, achieving this interoperability is still an ongoing research topic. In the first stage of this work, we propose methodologies to optimize the harmonization pipelines of health databases, considering the OMOP CDM as the destination schema. In the following stage, aiming to enrich the information stored in OMOP CDM databases, we have investigated solutions to extract clinical concepts from unstructured narratives. In the final stage, we aimed to simplify the protocol execution of multicenter studies, by proposing novel solutions for facilitating the discovery of databases. The developed solutions are currently being used in European projects aiming to create federated networks of health databases across Europe.

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Acknowledgments

This work has received support from the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806968. JRA has been funded by FCT (Foundation for Science and Technology) under the grant SFRH/BD/147837/2019.

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Authors and Affiliations

  1. DETI/IEETA, LASI, University of Aveiro, Aveiro, Portugal

    João Rafael Almeida & José Luís Oliveira

  2. Department of Computation, University of A Coruña, A Coruña, Spain

    João Rafael Almeida & Alejandro Pazos

Authors
  1. João Rafael Almeida
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  2. Alejandro Pazos
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  3. José Luís Oliveira
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Correspondence to João Rafael Almeida .

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Editors and Affiliations

  1. School of Science and Technology, NOVA University of Lisbon, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. School of Science and Technology, NOVA University of Lisbon, Monte Caparica, Portugal

    Filipa Ferrada

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Almeida, J.R., Pazos, A., Oliveira, J.L. (2023). Clinical Data Integration Strategies for Multicenter Studies. In: Camarinha-Matos, L.M., Ferrada, F. (eds) Technological Innovation for Connected Cyber Physical Spaces. DoCEIS 2023. IFIP Advances in Information and Communication Technology, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-031-36007-7_13

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  • DOI: https://doi.org/10.1007/978-3-031-36007-7_13

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