Big data in nephrology: promises and pitfalls

Girish N Nadkarni; Steven G Coca; Christina M Wyatt

doi:10.1016/j.kint.2016.06.003

Big data in nephrology: promises and pitfalls

Kidney Int. 2016 Aug;90(2):240-241. doi: 10.1016/j.kint.2016.06.003.

Authors

Girish N Nadkarni¹, Steven G Coca², Christina M Wyatt²

Affiliations

¹ Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: girish.nadkarni@mssm.edu.
² Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

PMID: 27418085
DOI: 10.1016/j.kint.2016.06.003

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.

Publication types

Comment

MeSH terms

Electronic Health Records*
Humans
Nephrology*