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

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer methods and programs in biomedicine Pub Date : 2024-09-01 DOI:10.1016/j.cmpb.2024.108404
Antoine Lamer , Benjamin Popoff , Boris Delange , Matthieu Doutreligne , Emmanuel Chazard , Romaric Marcilly , Sonia Priou , Paul Quindroit
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Abstract

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.

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临床数据仓库遇到的障碍:焦点小组的建议。
背景和目的:过去几十年来,电子健康记录的实施和使用日益增多,使得大量临床数据可供使用。在过去 20 年中,医院也采用并实施了数据仓库技术,以促进行政和临床数据在研究中的再利用。然而,临床数据仓库的实施遇到了一系列障碍:伦理、法律、技术、人力和组织方面的障碍。本文概述了临床数据仓库(CDW)开发和实施项目过程中遇到的困难和障碍:方法:我们在 2023 年欧洲医学信息学大会上进行了一次焦点小组讨论,邀请了参与临床数据仓库实施的专业人士。这些专家介绍了他们的临床数据仓库,以及他们在以下各个阶段遇到的困难和障碍:(i) 启动数据仓库项目,(ii) 实施数据仓库,(iii) 在日常操作中使用数据仓库。此外,还要求他们提出能够实施的解决方案,以解决之前报告的障碍:结果:经过综合和协商一致,共确定了 26 个障碍,其中 10 个与任务有关,5 个与工具和技术有关,4 个与人员有关,4 个与组织有关,3 个与外部环境有关。为了应对这些挑战,我们提出了一套 15 项实用建议,涵盖了治理、利益相关者参与、跨学科合作和外部专家利用等重要方面:这些建议是医疗机构建立和优化临床数据中心的宝贵资源,为利用临床数据开展研究、提高质量和改善患者护理提供了路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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