Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis.

Brett K Beaulieu-Jones Danielle R Lavage John W Snyder Jason H Moore Sarah A Pendergrass Christopher R Bauer

Published in: JMIR medical informatics (2018)

The analyses we describe provide an outline of considerations for dealing with missing EHR data, steps that researchers can perform to characterize missingness within their own data, and an evaluation of methods that can be applied to impute clinical data. While the performance of methods may vary between datasets, the process we describe can be generalized to the majority of structured data types that exist in EHRs, and all of our methods and code are publicly available.

Keyphrases

electronic health record
data analysis
clinical decision support
big data
adverse drug
machine learning