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Good practices for clinical data warehouse implementation: A case study in France.

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Area of Science:

  • Health Informatics
  • Data Management
  • Clinical Research Infrastructure

Background:

  • Real-world data (RWD) offers significant potential for enhancing patient care quality.
  • Effective utilization of RWD necessitates specialized infrastructures and methodologies for knowledge derivation and innovation.
  • Clinical Data Warehouses (CDWs) are crucial for managing and leveraging RWD.

Purpose of the Study:

  • To analyze the key aspects of modern CDWs in French regional and university hospitals.
  • To identify essential components for robust CDW implementation, including governance, transparency, data types, reuse, tools, documentation, and quality control.
  • To derive general guidelines for optimizing CDW functionality for research and clinical innovation.

Main Methods:

  • A national case study involving 32 French regional and university hospitals.
  • Semi-structured interviews conducted between March and November 2022.
  • A review of reported studies on French CDWs.

Main Results:

  • 14 out of 32 hospitals have a CDW in production, with 5 experimenting and 5 having prospective projects.
  • CDW implementation in France began in 2011 and accelerated in late 2020.
  • Key areas for improvement include governance stabilization, data schema standardization, data quality, and documentation.

Conclusions:

  • CDWs require strengthened governance, standardized data, and enhanced quality/documentation for research orientation.
  • Sustainability of CDW teams and multilevel governance are critical success factors.
  • Increased transparency in studies and data transformation tools are vital for multicentric data reuse and routine care innovation.