Reimagining Rheumatology: Big Data and the Future of Clinical Practice and Research

Arthritis Care & ResearchVolume 72, Issue 2 p. 163-165 Editorial Reimagining Rheumatology: Big Data and the Future of Clinical Practice and Research Jinoos Yazdany, Jinoos Yazdany Zuckerberg San Francisco General Hospital, University of California, San FranciscoSearch for more papers by this authorMarian T. Hannan, Corresponding Author Marian T. Hannan [email protected] orcid.org/0000-0002-9586-6928 Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MassachusettsAddress correspondence to Marian T. Hannan, DSc, MPH, Hebrew SeniorLife, 1200 Centre Street, Boston, MA 02131. E-mail: [email protected].Search for more papers by this author Jinoos Yazdany, Jinoos Yazdany Zuckerberg San Francisco General Hospital, University of California, San FranciscoSearch for more papers by this authorMarian T. Hannan, Corresponding Author Marian T. Hannan [email protected] orcid.org/0000-0002-9586-6928 Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MassachusettsAddress correspondence to Marian T. Hannan, DSc, MPH, Hebrew SeniorLife, 1200 Centre Street, Boston, MA 02131. E-mail: [email protected].Search for more papers by this author First published: 25 October 2019 https://doi.org/10.1002/acr.24102Citations: 1 1Jinoos Yazdany, MD, MPH: Zuckerberg San Francisco General Hospital, University of California, San Francisco; 2Marian T. Hannan, DSc, MPH (Editor in Chief, Arthritis Care & Research): Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts. Dr. Yazdany is chair of the Registries and Health IT Committee for the American College of Rheumatology, has received consulting fees from Eli Lilly and AstraZeneca (less than $10,000 each), and has received an investigator-initiated research award from Pfizer. No other disclosures relevant to this article were reported. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Murray SG, Avati A, Schmajuk G, Yazdany J. Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling. J Am Med Inform Assoc 2019; 26: 61–5. 10.1093/jamia/ocy154 PubMedWeb of Science®Google Scholar 2Norgeot B, Glicksberg BS, Trupin L, Lituiev D, Gianfrancesco M, Oskotsky B, et al. Assessment of a deep learning model based on electronic Health Record data to forecast clinical outcomes in patients with rheumatoid arthritis. JAMA Netw Open 2019; 2:e190606. 10.1001/jamanetworkopen.2019.0606 PubMedWeb of Science®Google Scholar Citing Literature Volume72, Issue2February 2020Pages 163-165 ReferencesRelatedInformation