Data Completeness Monitoring
Data Completeness Monitoring is a systematic process in chronic disease registry management that evaluates the extent to which required data elements are present and accurately recorded within a dataset, distinguishing it from other data quality assessments by focusing specifically on the absence or presence of expected data entries.
28
Publications
1.2K
Citations
234
Authors
118
Institutions
Publications per year
2017–2026
18
28
Anita B. Amorim, Evangelos Pappas, Milena Simić et al. · BMC Musculoskeletal Disorders · 2019 · 187 citations · Full text
Medicine, Chronic Disease Prevention, Musculoskeletal Rehabilitation +14
Muhammad Rashid, Peter Ludman, Mamas A. Mamas · European Heart Journal - Quality of Care and Clinical Outcomes · 2019 · 61 citations · Full text
1–5 of 28
234
London School of Hygiene & Tropical Medicine, United Kingdom
1 publications · 18 citations
1
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1
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1
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1
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1
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1–5 of 234
118
Harvard University
Cambridge, United States
2 h-index
9 publications
234 citations

University Hospital Heidelberg
Heidelberg, Germany
2 h-index
10 publications
343 citations
Heidelberg University
Heidelberg, Germany
2 h-index
10 publications
343 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
70 citations
Rigshospitalet
Copenhagen, Denmark
2 h-index
9 publications
276 citations

Aarhus University Hospital
Aarhus, Denmark
2 h-index
2 publications
71 citations

Centers for Disease Control and Prevention
Atlanta, United States
2 h-index
18 publications
404 citations

Glostrup Hospital
Glostrup Municipality, Denmark
2 h-index
2 publications
71 citations
1–8 of 118
1 publications · 41 citations
1
h-index
1 publications · 21 citations
1
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1 publications · 18 citations
1
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1 publications · 61 citations
1
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1 publications · 23 citations
1
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1–5