Use of Structured Electronic Health Records Data Elements for the Development of Computable Phenotypes to Identify Potential Adverse Events Associated with Intravenous Immunoglobulin Infusion.

Jillian H HurstAmanda BruckerCongwen ZhaoHannah DriscollHaley P HostetlerMichael PhillipsBari RosenbergMarc D SamskyIsaac SmithMegan E RellerJohn J StrouseCindy Ke ZhouGraça M DoresHui-Lee WongBenjamin A Goldstein

Published in: Drug safety (2023)

These data provide evidence for the utility of different structured data elements in computable phenotypes for AEs. Such computable phenotypes can be used across different data sources for the detection of infusion-related adverse events.

Keyphrases

electronic health record
big data
clinical decision support
low dose
adverse drug
high dose
drinking water
risk assessment
climate change
human health