Accessing and utilizing clinical and genomic data from an electronic health record data warehouse.
Big data
Data warehouse
Electronic health record
Genomics
Journal
Translational medicine communications
ISSN: 2396-832X
Titre abrégé: Transl Med Commun
Pays: England
ID NLM: 101738095
Informations de publication
Date de publication:
2023
2023
Historique:
medline:
15
1
2024
pubmed:
15
1
2024
entrez:
15
1
2024
Statut:
ppublish
Résumé
Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research. Although imperfect, data warehouses are a powerful tool for harnessing a large amount of data to phenotype disease. They will have increasing relevance and applications in clinical research with growing sophistication in processes for EHR data abstraction, biobank integration, and cross-institutional linkage.
Identifiants
pubmed: 38223535
doi: 10.1186/s41231-023-00140-0
pmc: PMC10786622
pii:
doi:
Types de publication
Journal Article
Langues
eng
Déclaration de conflit d'intérêts
Competing interests The authors declare that they have no competing interests.