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Related Experiment Video

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Establishment of a Clinic-based Biorepository
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Building an I2B2-Based Population Repository for Clinical Research.

Lydia González1, David Pérez-Rey1, Enrique Alonso1

  • 1Biomedical Informatics Group, Artificial Intelligence Department, E.T.S.I. Informáticos, Universidad Politécnica de Madrid, Spain.

Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary
This summary is machine-generated.

This study details connecting Spain

Keywords:
ATCClinical data integrationClinical researchI2B2ICDLOINCSNOMED-CTSecondary use of EHRSemantic interoperability

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Area of Science:

  • Health Informatics
  • Clinical Research Networks

Background:

  • Hospitals generate vast amounts of data from disparate sources.
  • Integrating this data into a unified format is crucial for research.
  • The 12 de Octubre University Hospital faced challenges in data harmonization.

Purpose of the Study:

  • To describe the process of connecting a hospital to the TriNetX research network.
  • To detail the phases of data integration and semantic normalization.
  • To highlight the research opportunities enabled by the InSite platform.

Main Methods:

  • Phased integration of terminology core datasets and specialized sources.
  • Implementation of automatic daily data refreshment.
  • Semantic normalization of clinical terminologies using the InSite platform.

Main Results:

  • Successful connection of 12 de Octubre University Hospital to the TriNetX network.
  • Creation of a single, harmonized, and automatically updated data repository.
  • Enhanced research capabilities through the InSite platform.

Conclusions:

  • The integration process demonstrates a viable model for hospital data harmonization.
  • Automated data refreshment ensures up-to-date information for research.
  • The InSite platform significantly expands research opportunities for healthcare institutions.