Data Sharing Risk Management
Data Sharing Risk Management is a systematic framework within health information risk management that identifies, assesses, and mitigates risks associated with the exchange of sensitive health data across organizations, systems, or stakeholders, ensuring confidentiality, integrity, and compliance while enabling interoperability and data utility.
9
Publications
567
Citations
26
Authors
23
Institutions
Publications per year
2017–2026
5
9
Big health data: the need to earn public trust
Tjeerd van Staa, Ben Goldacre, Iain Buchan et al. · BMJ · 2016 · 99 citations · Full text
Frank W. Rockhold, Perry Nisen, Andrew Freeman · New England Journal of Medicine · 2016 · 59 citations · Full text
1–5 of 9
26
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 26
23
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
179 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
102 citations

University of Alabama at Birmingham
Birmingham, United States
1 h-index
1 publications
51 citations
Kaiser Permanente Washington Health Research Institute
Seattle, United States
1 h-index
1 publications
51 citations
Clinical Research Institute
Plymouth, United States
1 h-index
1 publications
59 citations
Farr Institute
London, United Kingdom
1 h-index
2 publications
198 citations
Kaiser Permanente
Oakland, United States
1 h-index
2 publications
102 citations
Stanford University
Stanford, United States
1 h-index
3 publications
738 citations
1–8 of 23
NEJM · 2 publications · 305 citations
2
h-index
JCER · 1 publications · 51 citations
1
h-index
1 publications · 99 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 28 citations
1
h-index
1–5