Challenges and Opportunities of Clinical Data Warehousing

Authors

  • Niklas GIESA Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany
  • Anne Rike FLINT Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany
  • Sedir MOHAMMED Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany
  • Louis AGHA-MIR-SALIM Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany
  • Sebastian Daniel BOIE Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany
  • Fabian PRASSER Medical Informatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
  • Felix BALZER Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany

Keywords:

Clinical Data Warehousing, Electronic Health Records, Clinical Data Model, Rapid Review

Abstract

Clinical data warehousing (CDW) aims to provide an integrated database for secondary health analysis. We conducted a rapid review including 22 studies published between 2018 and 2022 that reported CWD implementation details in addition to individual experiences. Our results comprise technical details and reveal current opportunities and challenges of CDW. Many studies positively highlight standardized tools and models building on well-integrated clinical concepts. Enhanced tooling and data modeling were oftentimes hindered by bad data quality and organizational burdens. We call for enforcing synergies between clinical, technical, and organizational expertise to successfully roll out a CDW project.

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Published

21.11.2024

How to Cite

1.
GIESA N, FLINT AR, MOHAMMED S, AGHA-MIR-SALIM L, BOIE SD, PRASSER F, BALZER F. Challenges and Opportunities of Clinical Data Warehousing. Appl Med Inform [Internet]. 2024 Nov. 21 [cited 2024 Nov. 27];46(Suppl. 2):S41-S44. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/1082

Issue

Vol. 46 No. Suppl. 2 (2024): Collaborative Health Applications Across Disciplines: People, Animals, and Ecosystems

Section

Special Issue

License

Copyright (c) 2024 Niklas GIESA, Anne Rike FLINT, Sedir MOHAMMED, Louis AGHA-MIR-SALIM, Sebastian Daniel BOIE, Fabian PRASSER, Felix BALZER

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.