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Usage of EpiFinder clinical decision support in the assessment of epilepsy by Erin M. Okazaki; Robert Yao; Joseph I. Sirven; Amy Z. Crepeau; Katherine H. Noe; Joseph F. Drazkowski; Matthew T. Hoerth; Edgar Salinas; Lidia Csernak; Neel Mehta is a Medicine article available to read on EtoBox.

What is Usage of EpiFinder clinical decision support in the assessment of epilepsy about?

## Background: The diagnosis of epilepsy is at times elusive for both neurologists and nonneurologists, resulting in delays in diagnosis and therapy. the development of screening methods has been identified as a priority in response to this diagnostic and therapeutic gap. epifinder is a novel clinical decision support tool designed to enhance the process of information gathering and integration of patient/proxy respondent data. it is designed specifically to take key terms from a patient's history and incorporate them into a heuristic algorithm that dynamically produces differential diagnoses of epilepsy syndromes. ## Objective: The objective of this study was to test the usability and diagnostic accuracy of the clinical decision support application epifinder in an adult population. ## Methods: Fifty-seven patients were prospectively identified upon admission to the epilepsy monitoring unit (emu) for episode classification from january through june of 2017. based on semiologic input, the application generates a list of epilepsy syndromes. the epifinder-generated diagnosis for each subject was compared to the final diagnosis obtained via continuous video electroencephalogram (cveeg)

Who reads Usage of EpiFinder clinical decision support in the assessment of epilepsy?

Author

Erin M. Okazaki; Robert Yao; Joseph I. Sirven; Amy Z. Crepeau; Katherine H. Noe; Joseph F. Drazkowski; Matthew T. Hoerth; Edgar Salinas; Lidia Csernak; Neel Mehta

Published

2018

Language

EN

Field

Medicine (Health Sciences)