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...
Saved in:
Main Authors: | , , , , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841558938935361536 |
---|---|
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 |
id | doaj-art-b25f775d885248e3b45d1f0f102f9c10 |
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 |