Allergy Data Quality
Allergy Data Quality is a methodological construct that specifies the accuracy, completeness, consistency, and timeliness of allergy-related health information within electronic health records to ensure its reliability and clinical utility.
15
Publications
878
Citations
121
Authors
112
Institutions
Publications per year
2017–2026
6
Parents
15
Simon M. Mueller, Valentina N. S. Hongler, Pierre Jungo et al. · Journal of Medical Internet Research · 2020 · 157 citations · Full text
Paneez Khoury, Renganathan Srinivasan, Sujani Kakumanu et al. · The Journal of Allergy and Clinical Immunology In Practice · 2022 · 54 citations · Full text
1–5 of 15
121
3
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 121
112
Harvard University
Cambridge, United States
3 h-index
3 publications
153 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
7 publications
613 citations

University of Aberdeen
Aberdeen, United Kingdom
2 h-index
6 publications
316 citations

Brigham and Women's Hospital
Boston, United States
2 h-index
3 publications
120 citations
Northwestern Medicine
Chicago, United States
1 h-index
1 publications
44 citations
Zentrum für Rhinologie und Allergologie
Wiesbaden, Germany
1 h-index
1 publications
101 citations
Vancouver Clinic
Vancouver, United States
1 h-index
1 publications
54 citations
Polydoro Ernani de São Thiago University Hospital
Florianópolis, Brazil
1 h-index
1 publications
101 citations
1–8 of 112
ACAAI · 2 publications · 77 citations
2
h-index
2 publications · 64 citations
2
h-index
2 publications · 68 citations
2
h-index
2 publications · 193 citations
2
h-index
1 publications · 157 citations
1
h-index
1–5