The Stanford Medicine data science ecosystem for clinical and translational research.

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Title: The Stanford Medicine data science ecosystem for clinical and translational research.
Authors: Callahan A; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA., Ashley E; Department of Medicine, School of Medicine, Stanford University, Stanford, California, USA.; Department of Genetics, School of Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA., Datta S; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Desai P; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Ferris TA; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Fries JA; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA., Halaas M; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Langlotz CP; Department of Radiology, School of Medicine, Stanford University, Stanford, California, USA., Mackey S; Department of Anesthesia, School of Medicine, Stanford University, Stanford, California, USA., Posada JD; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Pfeffer MA; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA., Shah NH; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA.; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, California, USA.; Clinical Excellence Research Center, School of Medicine, Stanford University, Stanford, California, USA.
Source: JAMIA open [JAMIA Open] 2023 Aug 02; Vol. 6 (3), pp. ooad054. Date of Electronic Publication: 2023 Aug 02 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooad054