Leveraging Big Data and Electronic Health Records to Enhance Novel Approaches to Acute Kidney Injury Research and Care.

Abstract:

:While acute kidney injury (AKI) has been poorly defined historically, a decade of effort has culminated in a standardized, consensus definition. In parallel, electronic health records (EHRs) have been adopted with greater regularity, clinical informatics approaches have been refined, and the field of EHR-enabled care improvement and research has burgeoned. Although both fields have matured in isolation, uniting the 2 has the capacity to redefine AKI-related care and research. This article describes how the application of a consistent AKI definition to the EHR dataset can accurately and rapidly diagnose and identify AKI events. Furthermore, this electronic, automated diagnostic strategy creates the opportunity to develop predictive approaches, optimize AKI alerts, and trace AKI events across institutions, care platforms, and administrative datasets.

journal_name

Blood Purif

journal_title

Blood purification

authors

Sutherland SM,Goldstein SL,Bagshaw SM

doi

10.1159/000458751

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

68-76

issue

1

eissn

0253-5068

issn

1421-9735

pii

000458751

journal_volume

44

pub_type

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