Registry Data Modeling
Registry Data Modeling is a clinical data modeling approach that systematically defines the structure, metadata, and standards for collecting, managing, and representing data within clinical registries to support longitudinal observation, regulatory compliance, and comparative effectiveness research.
52
Publications
2K
Citations
323
Authors
170
Institutions
Publications per year
2017–2026
24
Parents
52
Matthew R. Reynolds, Peter Zimetbaum, Mark E. Josephson et al. · Circulation Arrhythmia and Electrophysiology · 2009 · 153 citations · Full text
1–5 of 52
323
London School of Hygiene & Tropical Medicine, United Kingdom
2 publications · 45 citations
2
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2
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2
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2
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2
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1–5 of 323
170
Duke University
Durham, United States
3 h-index
6 publications
829 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
8 publications
265 citations
University Medical Center Utrecht
Utrecht, The Netherlands
3 h-index
6 publications
141 citations
Children's Hospital of Pittsburgh
Pittsburgh, United States
2 h-index
4 publications
130 citations

Cornell University
Ithaca, United States
2 h-index
4 publications
144 citations
University of Utah
Salt Lake City, United States
2 h-index
2 publications
215 citations
Kaiser Permanente
Oakland, United States
2 h-index
5 publications
92 citations
Cancer Registry of Norway
Oslo, Norway
2 h-index
3 publications
80 citations
1–8 of 170
2 publications · 51 citations
2
h-index
2 publications · 41 citations
2
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Repository · 2 publications · 42 citations
2
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2 publications · 40 citations
2
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1 publications · 15 citations
1
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1–5