Article

PS1-9: Data Issues and Meta-content to Improve Analysis of Electronic Health Data

2014-09-01

Abstract excerpt

<h4>Background/Aims</h4> KPCO continuously checks our electronic health data for unexpected values. These values may be errors or legitimate reflections of clinical procedures and data collection rules. Rigorous data analysis requires an understanding of these unexpected values as well as methods to address them. We do not yet have an organized way to document unexpected data values. <h4>Methods</h4> We followed a...

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Identifiers and source

Literature Corpus work: 5e81b791-a015-5a9f-8f37-951c36e4982b
DOI: 10.3121/cmr.2014.1250.ps1-9
PMCID: PMC4453397

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