Automated Case Processing
Automated Case Processing is a computational methodology in pharmacovigilance informatics that systematically identifies, extracts, evaluates, and routes individual case safety reports from diverse data sources using predefined algorithms and rules to accelerate signal detection and regulatory compliance.
18
Publications
514
Citations
59
Authors
34
Institutions
Publications per year
2017–2026
8
18
Automation Opportunities in Pharmacovigilance: An Industry Survey
Rajesh Ghosh, Dieter Kempf, Angela Pufko et al. · Pharmaceutical Medicine · 2020 · 48 citations · Full text
1–5 of 18
59
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34

University of Central Florida
Orlando, United States
1 h-index
2 publications
62 citations
City University of New York
New York, United States
1 h-index
1 publications
18 citations
University of Ulster
Coleraine, United Kingdom
1 h-index
1 publications
29 citations
Novartis (Switzerland)
Basel, Switzerland
1 h-index
1 publications
48 citations

Universitat de Girona
Girona, Spain
1 h-index
4 publications
156 citations
IBM (United States)
Armonk, United States
1 h-index
2 publications
64 citations
Eli Lilly (United States)
Indianapolis, United States
1 h-index
1 publications
48 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
2 publications
34 citations
1–8 of 34
2 publications · 35 citations
2
h-index
2 publications · 80 citations
2
h-index
1 publications · 45 citations
1
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JOFS · 1 publications · 38 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5