Abstract
Strabismus quality care metrics and large-scale research using electronic medical record (EMR) data have been limited due to examination complexity and varying abbreviations, documentation syntax, and examination template use across clinicians. We developed an algorithm that abstracts and processes EMR strabismus examination data into discrete coded variables to facilitate analysis.
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