Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity.

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Bibliographic Details
Title: Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity.
Authors: Arya V; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Mazumder AG; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Nnamani M; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Abboud MA; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Lee SC; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Guzman MS; Office of Information Technology, Baylor College of Medicine, Houston, TX, United States., Krishnan V; Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Source: Frontiers in neurology [Front Neurol] 2026 Jan 12; Vol. 16, pp. 1722470. Date of Electronic Publication: 2026 Jan 12 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-2295
DOI:10.3389/fneur.2025.1722470