Challenges and Opportunities of Clinical Data Warehousing

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 detai...

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Main Authors: Niklas GIESA, Anne Rike FLINT, Sedir MOHAMMED, Louis AGHA-MIR-SALIM, Sebastian Daniel BOIE, Fabian PRASSER, Felix BALZER
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2024-11-01
Series:Applied Medical Informatics
Subjects:
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1082
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author Niklas GIESA
Anne Rike FLINT
Sedir MOHAMMED
Louis AGHA-MIR-SALIM
Sebastian Daniel BOIE
Fabian PRASSER
Felix BALZER
author_facet Niklas GIESA
Anne Rike FLINT
Sedir MOHAMMED
Louis AGHA-MIR-SALIM
Sebastian Daniel BOIE
Fabian PRASSER
Felix BALZER
author_sort Niklas GIESA
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2067-7855
language English
publishDate 2024-11-01
publisher Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
record_format Article
series Applied Medical Informatics
spelling doaj-art-b25f775d885248e3b45d1f0f102f9c102025-01-05T21:07:01ZengIuliu Hatieganu University of Medicine and Pharmacy, Cluj-NapocaApplied Medical Informatics2067-78552024-11-0146Suppl. 2Challenges and Opportunities of Clinical Data WarehousingNiklas GIESA0Anne Rike FLINT1Sedir MOHAMMED2Louis AGHA-MIR-SALIM3Sebastian Daniel BOIE4Fabian PRASSER5Felix BALZER6Institute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, GermanyInstitute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, GermanyInstitute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, GermanyInstitute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, GermanyInstitute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, GermanyMedical Informatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, GermanyInstitute of Medical Informatics at Charité – Universitätsmedizin Berlin, Invalidenstr. 90, 10115 Berlin, Germany 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. https://ami.info.umfcluj.ro/index.php/AMI/article/view/1082Clinical Data WarehousingElectronic Health RecordsClinical Data ModelRapid Review
spellingShingle Niklas GIESA
Anne Rike FLINT
Sedir MOHAMMED
Louis AGHA-MIR-SALIM
Sebastian Daniel BOIE
Fabian PRASSER
Felix BALZER
Challenges and Opportunities of Clinical Data Warehousing
Applied Medical Informatics
Clinical Data Warehousing
Electronic Health Records
Clinical Data Model
Rapid Review
title Challenges and Opportunities of Clinical Data Warehousing
title_full Challenges and Opportunities of Clinical Data Warehousing
title_fullStr Challenges and Opportunities of Clinical Data Warehousing
title_full_unstemmed Challenges and Opportunities of Clinical Data Warehousing
title_short Challenges and Opportunities of Clinical Data Warehousing
title_sort challenges and opportunities of clinical data warehousing
topic Clinical Data Warehousing
Electronic Health Records
Clinical Data Model
Rapid Review
url https://ami.info.umfcluj.ro/index.php/AMI/article/view/1082
work_keys_str_mv AT niklasgiesa challengesandopportunitiesofclinicaldatawarehousing
AT annerikeflint challengesandopportunitiesofclinicaldatawarehousing
AT sedirmohammed challengesandopportunitiesofclinicaldatawarehousing
AT louisaghamirsalim challengesandopportunitiesofclinicaldatawarehousing
AT sebastiandanielboie challengesandopportunitiesofclinicaldatawarehousing
AT fabianprasser challengesandopportunitiesofclinicaldatawarehousing
AT felixbalzer challengesandopportunitiesofclinicaldatawarehousing