Poisoning Data Quality is a methodological construct that evaluates the accuracy, completeness, and reliability of data pertaining to poisoning incidents, specifically by assessing the extent to which such data supports valid identification, classification, and analysis of toxicological exposures and their outcomes.
4
Publications
104
Citations
15
Authors
13
Institutions
Publications per year
2017–2026
1
Parents
Publications
4
Minimum data set development for a drug poisoning registry system
Sadrieh Hajesmaeel‐Gohari, Kambiz Bahaadinbeigy, Shahrad Tajoddini et al. · Digital Health · 2019 · 15 citations · Full text
1–4 of 4
Authors
15
- RC
1
h-index
- PCPedro Costa Cavalcanti de Albuquerque
Universidade de Pernambuco, Brazil
1 publications · 33 citations
1
h-index
- KM
1
h-index
- IG
1
h-index
- ST
1
h-index
1–5 of 15
Institutions
13
Tehran University of Medical Sciences
Tehran, Iran
1 h-index
2 publications
30 citations
University of Colorado Health
Aurora, United States
1 h-index
1 publications
12 citations
Universidade de Pernambuco
Recife, Brazil
1 h-index
2 publications
66 citations
Rocky Mountain MS Center
Englewood, United States
1 h-index
1 publications
12 citations
University of Colorado Denver
Denver, United States
1 h-index
3 publications
36 citations
Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
1 h-index
3 publications
99 citations
Boston Children's Hospital
Boston, United States
1 h-index
1 publications
44 citations
Denver Health Medical Center
Denver, United States
1 h-index
3 publications
36 citations
1–8 of 13
Venues
- The American Journal of Emergency Medicine
AJEM · 1 publications · 44 citations
1
h-index
- Digital Health
1 publications · 15 citations
1
h-index
- Revista Brasileira de Epidemiologia
1 publications · 33 citations
1
h-index
- Clinical Toxicology
1 publications · 12 citations
1
h-index
1–4