Data Quality Standards
Data Quality Standards is a formal specification within the domain of administrative health data that establishes the criteria and requirements for ensuring the accuracy, completeness, consistency, timeliness, and reliability of health data across organizational and systemic contexts.
165
Publications
10.1K
Citations
701
Authors
350
Institutions
Publications per year
2017–2026
63
165
Michael G. Kahn, Tiffany J. Callahan, Juliana Barnard et al. · eGEMs (Generating Evidence & Methods to improve patient outcomes) · 2016 · 604 citations · Full text
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350

University of Colorado Denver
Denver, United States
6 h-index
9 publications
1.8K citations
Harvard University
Cambridge, United States
5 h-index
9 publications
508 citations
University of Colorado Anschutz Medical Campus
Aurora, United States
4 h-index
9 publications
3.3K citations
Janssen (United States)
Hopewell, United States
4 h-index
12 publications
1.1K citations
University of Washington
Seattle, United States
4 h-index
7 publications
1.1K citations
University College London
London, United Kingdom
4 h-index
9 publications
254 citations
Columbia University
New York, United States
4 h-index
7 publications
1.8K citations
The University of Tokyo
Tokyo, Japan
3 h-index
8 publications
674 citations
1–8 of 350
5 publications · 860 citations
5
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LCA · 4 publications · 146 citations
4
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Repository · 4 publications · 95 citations
4
h-index
ACI · 3 publications · 112 citations
3
h-index
Repository · 3 publications · 52 citations
3
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