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A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development

A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development

Time formats, units, and text styles (eg, “right” vs “R”) were standardized and unified across tables, with consistent rules applied to each object. Conditions that may be disparate within the EHR but that are meaningfully different within a cerebrovascular context (eg, diabetes with complications vs diabetes without complications) are grouped for more cogent reporting.

Thomas B H Potter, Sharmila Pratap, Juan Carlos Nicolas, Osman S Khan, Alan P Pan, Abdulaziz T Bako, Enshuo Hsu, Carnayla Johnson, Imory N Jefferson, Sofiat K Adegbindin, Eman Baig, Hannah R Kelly, Stephen L Jones, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR Form Res 2023;7:e40639