Complication Data Quality
Complication Data Quality is a scholarly construct within health informatics research that denotes the extent to which documented complication data adhere to clinical accuracy, completeness, temporal coherence, and semantic consistency, thereby enabling reliable assessment of patient outcomes and healthcare performance.
12
Publications
1.1K
Citations
78
Authors
51
Institutions
Publications per year
2017–2026
5
Parents
12
Justin S. Smith, Eric O. Klineberg, Virginie Lafage et al. · Journal of Neurosurgery Spine · 2016 · 363 citations
Complications Associated With Ambulatory Surgery
Herbert E. Natof · JAMA · 1980 · 136 citations
Medicine, Anesthesiology, Surgery +13
Jan Baekelandt, Supuni Kapurubandara · European Journal of Obstetrics & Gynecology and Reproductive Biology · 2020 · 73 citations
Medicine, Gynecology, Surgery +10
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51

Uppsala University
Uppsala, Sweden
3 h-index
9 publications
508 citations

Washington University in St. Louis
St Louis, United States
2 h-index
2 publications
482 citations

University of Bristol
Bristol, United Kingdom
2 h-index
6 publications
186 citations
Emory University
Atlanta, United States
2 h-index
2 publications
183 citations
North Bristol NHS Trust
Bristol, United Kingdom
2 h-index
3 publications
150 citations

Westmead Hospital
Sydney, Australia
2 h-index
2 publications
137 citations

The University of Sydney
Sydney, Australia
2 h-index
2 publications
137 citations

Lund University
Lund, Sweden
2 h-index
2 publications
111 citations
1–8 of 51
2 publications · 168 citations
2
h-index
1 publications · 119 citations
1
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BJC · 1 publications · 69 citations
1
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Repository · 1 publications · 43 citations
1
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JNS · 1 publications · 69 citations
1
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1–5