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Clinical Research Informatics: Contributions from 2023.

Xavier Tannier1, Dipak Kalra2

  • 1Sorbonne University, Inserm, University Sorbonne Paris-Nord, University Paris 13, Sorbonne Paris Cité, INSERM UMR_S 1142, LIMICS, F-75006 Paris, France.

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This review highlights top 2023 research in Clinical Research Informatics (CRI), focusing on enhancing health data reusability through quality assessment and metadata management. Three key papers were selected for their significant contributions to the field.

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Area of Science:

  • Clinical Research Informatics (CRI)
  • Health Data Science
  • Biomedical Informatics

Background:

  • Clinical Research Informatics (CRI) is crucial for advancing medical research.
  • Selecting impactful publications is essential for tracking progress in the field.
  • 2023 saw significant advancements in health data management and reusability.

Purpose of the Study:

  • To identify and summarize the most significant contributions to Clinical Research Informatics (CRI) published in 2023.
  • To select the top three papers that represent key advancements in the field.
  • To provide an overview of dominant themes and innovations in CRI over the past decade.

Main Methods:

  • A comprehensive bibliographic search of CRI literature was conducted using PubMed.
  • A rigorous double-blind review process was employed to shortlist candidate papers.
  • External peer review and a consensus meeting determined the final selection of the three best papers.

Main Results:

  • Three outstanding papers from 2023 were selected from 1,119 initial publications.
  • Selected papers focus on a provenance metadata framework for health data, computable phenotype generation, and automated health data quality assessment tools.
  • A review of dominant themes in CRI over the past decade was also presented.

Conclusions:

  • The 2023 CRI literature emphasizes improving health data reusability for clinical research.
  • Key areas of focus include data quality assessment and metadata management.
  • These advancements are vital for the future of clinical research and data-driven healthcare.