Healthc Inform Res.
2017 Jan;23(1):1-3. 10.4258/hir.2017.23.1.1.
Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics
- Affiliations
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- 1Observational Health Data Sciences and Informatics, New York, NY, USA.
- 2Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
- KMID: 2368979
- DOI: http://doi.org/10.4258/hir.2017.23.1.1
Abstract
- No abstract available.
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Figure 1 The Observational Health Data Sciences and Informatics (OHDSI) at http://www.ohdsi.org/.
Cited by 2 articles
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Issues and Solutions of Healthcare Data De-identification: the Case of South Korea
Soo-Yong Shin
J Korean Med Sci. 2018;33(5):. doi: 10.3346/jkms.2018.33.e41.Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea
Hui Xing Tan, Desmond Chun Hwee Teo, Dongyun Lee, Chungsoo Kim, Jing Wei Neo, Cynthia Sung, Haroun Chahed, Pei San Ang, Doreen Su Yin Tan, Rae Woong Park, Sreemanee Raaj Dorajoo
Healthc Inform Res. 2022;28(2):112-122. doi: 10.4258/hir.2022.28.2.112.
Reference
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1. Mayer-Schonberger V. Big data for cardiology: novel discovery? Eur Heart J. 2016; 37(12):996–1001.
Article2. Platt R, Wilson M, Chan KA, Benner JS, Marchibroda J, McClellan M. The new Sentinel Network: improving the evidence of medical-product safety. N Engl J Med. 2009; 361(7):645–647.
Article3. Hripcsak G, Ryan PB, Duke JD, Shah NH, Park RW, Huser V, et al. Characterizing treatment pathways at scale using the OHDSI network. Proc Natl Acad Sci U S A. 2016; 113(27):7329–7336.
Article4. Go AS, Magid DJ, Wells B, Sung SH, Cassidy-Bushrow AE, Greenlee RT, et al. The Cardiovascular Research Network: a new paradigm for cardiovascular quality and outcomes research. Circ Cardiovasc Qual Outcomes. 2008; 1(2):138–147.5. Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013; 309(13):1351–1352.
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