Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset

The GEMINI approach represents a scalable framework for data quality assessment and improvement in multisite EHR research databases. Manual data review is important but can be minimized to optimize the trade-off between true and false identification of data quality errors.

Authors

Institutions

Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-03-13
DOI
https://doi.org/10.1093/jamia/ocaf042
Citations
7
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
14.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset

Fahad A. Razak, Jason C. Kwan, L Joyce, Amol A. Verma et al.
7 citations
Journal of the American Medical Informatics Association
Data Quality and Management
14.75
article

Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset

Fahad A. Razak, Jason C. Kwan, L Joyce, Amol A. Verma, R. Roy, Kieran Shah, Amelia Wilkinson, Nancy L. Harris, Nicholas Pellegrino, Vivian Ng, C Kim, Stephen Chin, Radha Koppula, Steven Stern, Surain B. Roberts, Susan R. George, Siddhartha Srivastava, Y. W. Francis Lam, Shruthi Vaidyanathan, Weihan Liu, Anne Fu, Kayley-Jasmin Marchena-Romero, Trong Shen, Selam Mequanint, Denise Mak, Nathaniel Manikan, Jenny Gastmeier, Hapiloe Byaruhanga, Linia Shaji, Stephanie Handsor
article en
7 citations

Abstract

The GEMINI approach represents a scalable framework for data quality assessment and improvement in multisite EHR research databases. Manual data review is important but can be minimized to optimize the trade-off between true and false identification of data quality errors.

Journal of the American Medical Informatics AssociationVol. 32(5)
St. Michael's Hospital (CA), University of Toronto (CA)
Canada Research Chairs
Openalex Percentile: Top 1%
Data Quality and Management
14.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset — Fahad A. Razak, Jason C. Kwan, et al. · Journal of the American Medical Informatics Association (2025) | TGRS Research Map | TGRS