오딧세이 네트웍 : 개인정보 침해없이 여러 기관의 임상자료 분석이 가능한 분산연구망

K Younggun, Rate of electronic health record adoption in South Korea: A nation-wide survey, lnt J Med Inform, no. 101, pp. 100-107, 2017.
G. Hripcsak and et al., Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. Stud Health Technol Inform, no. 216, pp. 574-8, 2015.
P. Rae Woong, Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics, Healthc Inform Res, vol. 23, no. 1, pp. 1-3, 2017. https://doi.org/10.4258/hir.2017.23.1.1
Y Dukyong and et al., Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research, Healthc Inform Res, vol. 22, no. 1, pp. 54-8, 2016. https://doi.org/10.4258/hir.2016.22.1.54
V Huser and et al., Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets, EGEMS, vol. 4, no. 1, p 1239, 2016.
G. Hripcsak and et al., Characterizing treatment pathways at scale using the OHDSI network, Proc Natl Acad Sci, vol. 113, no. 27, pp. 7329-36, 2016. https://doi.org/10.1073/pnas.1510502113