title: Big data in nephrology: promises and pitfalls.
abstract: Data from the electronic health records hold great promise for nephrology research. However, due to significant limitations, reporting guidelines have been formulated for analyses conducted using electronic health records data.
authors.affiliation: Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: girish.nadkarni@mssm.edu.
authors.forename: Girish N
authors.initials: GN
authors.lastname: Nadkarni
authors.affiliation: Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
authors.forename: Steven G
authors.initials: SG
authors.lastname: Coca
authors.affiliation: Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
authors.forename: Christina M
authors.initials: CM
authors.lastname: Wyatt
mesh_terms: D057286:Electronic Health Records; D006801:Humans; D009398:Nephrology