Risk-based Source Data Verification
Risk-Based Source Data Verification is a systematic approach to verifying clinical trial data in which the extent and focus of source data checks are prioritized and tailored according to the level of risk to patient safety and data integrity, distinguishing it from comprehensive or random verification methods by its reliance on proactive risk assessment and targeted monitoring strategies.
9
Publications
256
Citations
57
Authors
28
Institutions
Publications per year
2017–2026
2
Variants
Risk-based Sdv
Parents
9
1–5 of 9
57
3
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 57
28
Target (United States)
Minneapolis, United States
3 h-index
7 publications
199 citations
PAREXEL International (United States)
Waltham, United States
3 h-index
6 publications
191 citations
Clinical Research Institute
Plymouth, United States
2 h-index
2 publications
55 citations
Sanofi (United States)
Bridgewater, United States
2 h-index
3 publications
70 citations
Bristol-Myers Squibb (Germany)
Munich, Germany
2 h-index
3 publications
107 citations
Brown University
Providence, United States
1 h-index
1 publications
40 citations
Eli Lilly (United States)
Indianapolis, United States
1 h-index
1 publications
48 citations
IQVIA (United States)
Durham, United States
1 h-index
3 publications
48 citations
1–8 of 28
TIRS · 6 publications · 164 citations
6
h-index
JAMDA · 1 publications · 40 citations
1
h-index
1 publications · 18 citations
1
h-index
DIA · 1 publications · 34 citations
1
h-index
1–4