DQAgui: a graphical user interface for the MIRACUM data quality assessment tool
Abstract Background With the growing impact of observational research studies, there is also a growing focus on data quality (DQ). As opposed to experimental study designs, observational research studies are performed using data mostly collected in a non-research context (secondary use). Depending o...
Main Authors: | Jonathan M. Mang, Susanne A. Seuchter, Christian Gulden, Stefanie Schild, Detlef Kraska, Hans-Ulrich Prokosch, Lorenz A. Kapsner |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-08-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-022-01961-z |
Similar Items
-
Curator – A data curation tool for clinical real-world evidence
by: Antonella Delmestri, et al.
Published: (2023-01-01) -
Imputation of Missing Clinical Covariates for Downstream Classification Problems
by: Benjamin Agbo, et al.
Published: (2023-01-01) -
Real world challenges in maintaining data integrity in electronic health records in a cancer program
by: Harpriya Khela, et al.
Published: (2024-03-01) -
Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
by: Simon Glew, Dr, et al.
Published: (2018-11-01) -
Quality of care in patients with hypertension: a retrospective cohort study of primary care routine data in Germany
by: Christoph Strumann, et al.
Published: (2024-02-01)