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Barriers encountered with clinical data warehouses: Recommendations from a focus group

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  • Additional Information
    • Contributors:
      Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS); Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); CHU Rouen; Normandie Université (NU); Laboratoire Traitement du Signal et de l'Image (LTSI); Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM); Centre Hospitalier Universitaire de Rennes CHU Rennes = Rennes University Hospital Pontchaillou; Haute Autorité de Santé Saint-Denis La Plaine (HAS); Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 (CIC Lille); Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); Laboratoire Génie Industriel (LGI); CentraleSupélec-Université Paris-Saclay
    • Publication Information:
      CCSD
      Elsevier
    • Publication Date:
      2024
    • Collection:
      Normandie Université: HAL
    • Abstract:
      International audience ; Background and objective: The increasing implementation and use of electronic health records over the last few decades has made a significant volume of clinical data being available. Over the past 20 years, hospitals have also adopted and implemented data warehouse technology to facilitate the reuse of administrative and clinical data for research. However, the implementation of clinical data warehouses encounters a set of barriers: ethical, legislative, technical, human and organizational. This paper proposes an overview of difficulties and barriers encountered during a clinical data warehouse (CDW) development and implementation project.Methods: We conducted a focus group at the 2023 Medical Informatics Europe Conference and invited professionals involved in the implementation of CDW. These experts described their CDW and the difficulties and barriers they encountered at each phase: (i) launching of the data warehouse project, (ii) implementing the data warehouse and (iii) using a data warehouse in routine operations. They were also asked to propose solutions they were able to implement to address the barriers previously reported.Results: After synthesis and consensus, a total of 26 barriers were identified, 10 pertained to tasks, 5 to tools and technologies, 4 to persons, 4 to organization, and 3 to the external environment. To address these challenges, a set of 15 practical recommendations was offered, covering essential aspects such as governance, stakeholder engagement, interdisciplinary collaboration, and external expertise utilization.Conclusions: These recommendations serve as a valuable resource for healthcare institutions seeking to establish and optimize CDWs, offering a roadmap for leveraging clinical data for research, quality enhancement, and improved patient care.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/39241462; PUBMED: 39241462
    • Accession Number:
      10.1016/j.cmpb.2024.108404
    • Online Access:
      https://hal.science/hal-04692574
      https://hal.science/hal-04692574v1/document
      https://hal.science/hal-04692574v1/file/Lamer%20et%20al.%20-%202024%20-%20Barriers%20Encountered%20with%20Clinical%20Data%20Warehouses.pdf
      https://doi.org/10.1016/j.cmpb.2024.108404
    • Rights:
      http://creativecommons.org/licenses/by-nc/
    • Accession Number:
      edsbas.77B74AE7